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["All references grouped\n(A=EC, B=OECD, C=WHO, D=other initiatives, E=Member States, 999=just a thematic heading)","Full reference","ID_2nd wave","Indicator name","Definition/Label","Calculation","Rationale","Unit","Data source of indicator","Decomposition/Disaggregation\n(e.g. income group (higher, lower, average), age, gender, level of education, ethnicity/race, etc.)","Link to source","Link to Metadata","Link to documentation sheet","Indicator reference code","OECD Health at a Glance Category \n(1 Access to care\n2 Health care resources: Labour\n3 Health care resources: Capital\n4 Health care activities\n5 Health expenditure and financing\n6 QUALITY OF CARE: Effectiveness - Primary/secondary prevention\n7 QUALITY OF CARE: Effectiveness - Getting better\n8 QUALITY OF CARE: Effectiveness - Living with illness or disability/chronic care\n9 QUALITY OF CARE: Effectiveness - Coping with end-of-life\n10 QUALITY OF CARE: Safety\n11 QUALITY OF CARE: Patient-centeredness/Responsiveness\n12 QUALITY OF CARE: Others\n13 Pharmaceutical sector\n14 Ageing and lon-term care \n15 Health status: Mortality\n16 Health status: Morbidity & Well-being\n17 Determinants of health: Health behaviour / life course\n18 Determinants of health: Environment / socio-economic condictions\n19 Additional information on demographic and economic context\n20 Others)","Explanatory info for survey","Selection (s=selected, c=consolidated,r=for revision; ms=Member State specific - exclude; e=excluded as too broad and not meaningful; nr=not relevant; u=definition not clear; x= excluded after brushing/shortening as not relevant; 999=just heading)","Short Reference (initiative/project source) [consolidated = newly created/summarized]","Anzahl initiatives per selected indicator (total)","1_ECHI","2_ECHO","3_Eckfeldt et al. 2014 (DG-ECFIN)","4_ESIF for Health 2015","5_EU Semester thematic fiche Health 2015 (DG-ECFIN)","6_EuroHope","7_Eurostat - Quality of Life","8_Eurostat - SDI","10_European Pillar of Social Rights","11_EU Youth Health 2015 (DG EAC)","12_EXPH 2014","13_JAF Health (DG EMPL)","14_EC-MACELI 2014","15_Medeiros & Schwierz 2015 (DG-ECFIN)","16_SPC - SPPM (DG EMPL)","17_Smith et al. (2016)","18_Health at a Glance 2015","19_Joumard et al. 2010","20_How's life? 2015","22_WHO Health 2020","24_WHO Core Health 2015","25_AIHW. (2014)","26_CIHI In Depth (2014)","27_CWF State Scorecard & CWF Int. Comparison (2014)","28_EHCI 2015","29_IOM 2015","30_MoH New Zealand 2016","31_Belgium - Vrijens et al. (2015)","32_Estonia HSPA (2010)","33_Hungary HSPA (2014)","34_Italy - PNE (2014)","35_Malta - Grech et al. (2015)","36_Netherlands - van den Berg et al. (2015)","37_Portugal HSPA (2010)","38_Sweden - Socialstyrelsen. (2013)","39_Sweden - Socialstyrelsen. (2015)","40_UK - Bevan et al. (2014)","41_UK - NHS (2016)","42_UK - Berry (2015)","43_Ireland - NHQSR (2015)","44_Europeristat","45_EuroSafe","46_Hofmarcher et al. 2007 (OECD)"]
["A, B, D, E","Consolidated",1,"Share of population covered by health insurance",null,null,null,null,null,null,null,null,null,null,1,"Percentage of population covered by i) Government/ social health insurance, ii) private health insurance.","s","Consolidated",10,1,0,0,0,0,0,0,0,0,0,2,1,0,0,0,0,3,0,0,0,0,0,0,2,0,0,0,1,1,0,0,1,1,1,0,0,0,0,0,0,0,0,0]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,"Insurance coverage","The proportion of the population covered by health insurance, taking into account both public and private insurance schemes.",null,"Indicator describing (equal) access to services. Indicator for social inequalities in health care system.","Public (government/social) health insurance coverage is the share of the population (%) eligible for a defined set of health care goods and services that are included in total public health expenditure. Private health insurance coverage is the share of the population (%) based on a head count of individuals covered by at least one private health insurance policy (including both individuals covered in their own name and dependants).",null,"• Calendar year\n• Country\n• Sex (see data availability)","http://www.oecd-ilibrary.org/social-issues-migration-health/data/oecd-health-statistics/oecd-health-data-social-protection_data-00544-en\n","http://stats.oecd.org/OECDStat_Metadata/ShowMetadata.ashx?Dataset=HEALTH_PROT&ShowOnWeb=true&Lang=en",null,76,1,"Percentage of population covered by i) Government/ social health insurance, ii) private health insurance.","c","ECHI",null,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",1,"government/social insurance coverage ","Percentage of population covered (entitled to whole benefits package, public funded)",null,null,null,null,null,null,null,null,"nA",1,null,"c","EXPH 2014",null,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",1,"Benefits package","description  of  the  benefits  included  in  the  public  services (accessible to the majority of the population): prevention, promotion, treatment, rehabilitation, palliative services. Primary health care, hospital care, emergency services, ambulances, pharmaceuticals, etc… Or, perhaps easier: Services explicitly excluded.",null,null,null,null,null,null,null,null,"nA",1,"description  of  the  benefits  included  in  the  public  services (accessible to the majority of the population)\nMMH suggestion: e.g. total public benefit in % of total CHE (SHA table 4; ","c","EXPH 2014",null,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",1,"Share of population covered by health insurance","The percentage of the population covered by public health  insurance (which is defined as tax-based public health insurance and income-related payroll taxes including social security contribution schemes) + the percentage of the population covered by private health insurance including: Private mandatory health insurance, Private employment group health insurance, Private community-rated health insurance, and Private risk-rated health insurance.",null,null,null,null,null,null,null,null,"A-3",1,null,"c","JAF Health (DG EMPL)",null,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",1,"Health insurance coverage for a core set of services","Coverage for health care is defined here as the share of the population receiving a core set of health care goods and services under public programmes and through private health insurance. It includes those covered in their own name and their dependents. Public coverage refers both to government programmes, generally financed by taxation, and social health insurance, generally financed by payroll taxes. Take- up of private health insurance is often voluntary, although it may be mandatory by law or compulsory for employees as part of their working conditions. Premiums are generally non-income-related, although the purchase of private coverage can be subsidised by government.",null,null,null,null,null,null,null,null,null,1,null,"c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",1,"Private health insurance coverage, by type",null,null,null,null,null,null,null,null,null,null,1,"primary, supplementary, complementary, duplicate","c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",1,"Evolution in private health insurance coverage",null,null,null,null,null,null,null,null,null,null,1,"Percentage of total population","c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",1,"Percent of adults ages 19-64 uninsured",null,null,null,null,"American Community Survey (ACS) Public Use Micro Sample (PUMS)(U.S. Census Bureau, ACS PUMS, 2013, 2014).","","","","",1,1,null,"c","CWF State Scorecard",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",1,"Percent of children ages 0-18 uninsured",null,null,null,null,"American Community Survey (ACS) Public Use Micro Sample (PUMS)(U.S. Census Bureau, ACS PUMS, 2013, 2014).",null,null,null,null,2,1,null,"c","CWF State Scorecard",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",1,"Health insurance status of the population (% of population)",null,null,null,null,null,null,null,null,null,"A-1",1,null,"c","Belgium - Vrijens et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",1,"Total population health service coverage",null,null,"Fair financing, financial protection and coverage: health system coverage",null,null,null,null,null,null,null,1,null,"c","Estonia HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",1,"% of population covered by public health insurance (tax-based, public health insurance and income tax, incl Social Security contribution schemes)","The proportion of the population covered by health insurance, taking into account both public and private insurance schemes","Public (government/social) health insurance coverage is the share of the population (%) eligible for a defined set of health care goods and services that are included in total public health expenditure. Private health insurance coverage is the share of the population (%) based on a head count of individuals covered by at least one private health insurance policy (including both individuals covered in their own name and dependents)",null,null,null,null,null,null,null,48,1,null,"c","Malta - Grech et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",1,"Percentage of people with health insurance who are six months or more in payment arrears",null,null,"Getting better: Non-acute curative health care - Accessibility: financial access",null,null,null,null,null,null,45,1,null,"c","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
["E","World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",1,"Level of duplication of health insurance coverage","nA",null,"Equity in finance: What is the extent of coverage under private insurance plans?",null,null,null,null,null,null,null,1,"nA","c","Portugal HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0]
["A, B, D, E","Consolidated",2,"Self-reported unmet need for medical care (total by reason: cost, waiting time, distance)",null,null,null,null,null,null,null,null,null,null,1,"Disaggregated by sex, by age group (total, 18-64, 65+), by education level (ISCED 0-1, 2, 3-4, 5-6) and by income quintile.\nProportion of persons with self-declared unmet needs for medical care services due to either financial barriers, waiting times or traveling distances.","s","Consolidated",16,1,0,0,3,1,0,1,1,0,1,1,2,0,0,1,0,2,0,0,0,0,0,0,7,1,1,0,1,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",2,"Equity of access to health care services","Index of self-declared unmet need for health care services. Defined as the total self-reported unmet need for medical care (medical examination or treatment) for the following three reasons: financial barriers + waiting times + too far to travel.",null,"The self-reported unmet need for medical examination or treatment is an indicator for equity of access to health care services. It gives insight into the need for medical care and the obstacles that stand in the way\nof the actual use of health care services. As such it can provide useful information on how to overcome the obstacles for use and improve health. The underlying assumption is that the self-reported unmet need\ncorresponds with the actual need for medical care.","% of people who reported that at least once in the previous 12 months they felt they needed medical care and did not receive it either because a) it was too expensive, b) they had to wait or c) it was too far away. Age standardisation: see remarks.",null,"• Calendar year\n• Country\n• Region (according to ISARE recommendations; see data availability)\n• Sex\n• Age group (18-64, 65 and over)\n• Socio-economic status (educational level. See remarks)","http://ec.europa.eu/eurostat/web/health/health-care/data/database","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_silc_01_esms.htm","http://ec.europa.eu/health/indicators/docs/echi_80.pdf",80,1,"Proportion of persons by sex, by age group (total, 18-64, 65+), by education level (ISCED 0-1, 2, 3-4, 5-6) and by income quintile with self-declared unmet needs for health care services due to either financial barriers, waiting times or traveling distances.","c","ECHI",null,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",2,"Proportion of people (all population) with self-declared unmet needs for health care services due to either financial barriers, waiting times or travelling distances",null,null,"Equity of access to health care services",null,null,null,null,null,null,"nA",1,null,"c","ESIF for Health 2015",null,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",2,"Proportion of people whose highest level of education is ISCED 0, 1, or 2 with self-declared unmet needs for health care services due to either financial barriers, waiting times or travelling distances",null,null,"Equity of access to health care services",null,null,null,null,null,null,"nA",1,null,"c","ESIF for Health 2015",null,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",2,"Proportion of people in the first quintile of equalized income (20% lowest income group) with self-declared unmet needs for health care services due to either financial barriers, waiting times or travelling distances",null,null,"Equity of access to health care services",null,null,null,null,null,null,"nA",1,null,"c","ESIF for Health 2015",null,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","EC, Europe 2020 (2015) European Semester Thematic Fiche: Health and Health Systems, from http://ec.europa.eu/europe2020/pdf/themes/2015/health-and-health-systems.pdf",2,"Self-reported unmet needs for medical examination because of cost, waiting time, and travelling distance",null,null,null,null,null,null,null,null,null,"nA",1,null,"c","EU Semester thematic fiche Health 2015 (DG-ECFIN)",null,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",2,"Self-reported unmet needs for medical examination",null,null,"Health - Access to health care",null,"http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_silc_14&lang=en",null,null,null,null,null,1,null,"c","Eurostat - Quality of Life",null,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","Eurostat (2015) Sustainable development indicators, from http://ec.europa.eu/eurostat/web/sdi/indicators ",2,"Self-reported unmet needs for medical care due to being too expensive, by income quintile","the share of the population reporting that at least once in the previous 12 months they could not afford medical examination or treatment.",null,null,null,null,"Health and health inequalities",null,"http://ec.europa.eu/eurostat/cache/metadata/DE/tsdph270_esmsip.htm",null,"nA",1,null,"c","Eurostat - SDI",null,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","European Commission (2011). Commission Staff Working Document on EU indicators in the field of youth. SEC(2011) 401 final.  Retrieved from http://ec.europa.eu/youth/library/publications/indicator-dashboard_en.pdf\nEuropean Commission (2015). Youth monitor - European Commission.   Retrieved from http://ec.europa.eu/youth/dashboard/index_en.htm",2,"Self-reported unmet need for medical care for young people (18-24)","Self-reporting unmet need for medical care for the following 3 reasons: financial barriers + too far to travel + waiting times.",null,"Social inclusion",null,"Eurostat (EU-SILC)",null,null,null,null,null,1,null,"c","EU Youth Health 2015 (DG EAC)",null,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",2,"Unmet need for treatment","self-reported unmet needs for medical examination for reasons of barriers of access (too expensive, too far to travel, or waiting lists). ",null,null,null,null,null,null,null,null,"nA",1,null,"c","EXPH 2014",null,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",2,"Self-reported unmet need for medical care (total by reason: cost, waiting time, distance)","Total self-reported unmet need for medical examination for the following three reasons: financial barriers, waiting times, too far to travel.",null,null,null,null,null,null,null,null,"A-1",1,"Proportion of persons by sex, by age group (total, 18-64, 65+), by education level (ISCED 0-1, 2, 3-4, 5-6) and by income quintile with self-declared unmet needs for medical care services due to either financial barriers, waiting times or traveling distances.","c","JAF Health (DG EMPL)",null,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",2,"Self-reported unmet need for medical care - income quintile gap (q1/q5 by reason: cost, waiting time, distance)","Ratio of the people from the top and bottom income quintile which self-reported total unmet need for medical examination for the following three reasons: financial barriers, waiting times, too far to travel.",null,null,null,null,null,null,null,null,"A-2",1,null,"c","JAF Health (DG EMPL)",null,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",2,"Self-reported unmet need for medical care",null,null,null,null,"Eurostat (EU-SILC)",null,null,null,null,null,1,null,"c","SPC - SPPM (DG EMPL)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",2,"Unmet care needs for medical examination by income level","Unmet medical or dental care needs may be for financial reasons, waiting times or long distance to travel to get access to services.\nData on unmet care needs come from two main sources. First, the European Union Statistics on Income and Living Conditions survey (EU-SILC) ask survey respondents whether there was a time in the previous 12 months when they felt they needed a medical or dental examination but did not receive it, followed by a question as to why the need for care was unmet (with the reasons including that care was too expensive, the waiting time was too long, the travel- ling distance to receive care was too far, a lack of time, or that they wanted to wait and see if problem got better on its own). The data presented in Figures 7.4 and 7.5 cover unmet care needs due to cost, waiting time and travelling distance.\nThe second source is the 2013 Commonwealth Fund International Health Policy Survey which asks whether people did not visit a doctor when they had a medical problem, skipped a medical test, treatment, or follow-up that was recommended by a doctor, or did not fill prescription for medicines or skipped doses because of cost in the past year. This survey was carried out in eleven countries. Similar questions were also asked in the national survey in the Czech Republic a few years earlier (2010).\n",null,null,null,null,null,null,null,null,null,1,null,"c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",2,"Unmet care needs due to cost",null,null,null,null,null,null,null,null,null,null,1,null,"c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",2,"Percent of adults who went without care because of cost in the past year",null,null,null,null,"2013 and 2014 Behavioral Risk Factor Surveillance System (NCCDPHP, BRFSS 2013, 2014).",null,null,null,null,3,1,null,"c","CWF State Scorecard",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",2,"Did not fill a prescription; skipped recommended medical test, treatment, or follow-up; or had a medical problem but did not visit doctor or clinic in the past year because of cost",null,null,null,null,null,null,null,null,null,null,1,null,"c","CWF Int. Comparison (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",2,"Had medical problem but did not visit doctor because of cost in the past year (by two income categories)","by two income categories: those who reported their incomes as above the country median and those who reported their incomes as below the country median. ",null,null,null,null,null,null,null,null,null,1,null,"c","CWF Int. Comparison (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",2,"Did not get recommended test, treatment, or follow-up because of cost in the past year (by two income categories)","by two income categories: those who reported their incomes as above the country median and those who reported their incomes as below the country median. ",null,null,null,null,null,null,null,null,null,1,null,"c","CWF Int. Comparison (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",2,"Did not fill prescription or skipped doses because of cost in the past year (by two income categories)","by two income categories: those who reported their incomes as above the country median and those who reported their incomes as below the country median. ",null,null,null,null,null,null,null,null,null,1,null,"c","CWF Int. Comparison (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",2,"Doctors report time spent getting patients needed medications or treatment because of coverage restrictions is a major problem",null,null,"Efficiency",null,null,null,null,null,null,null,1,null,"c","CWF Int. Comparison (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",2,"Has chronic condition and did not receive recommended test, treatment, or follow-up care because of cost",null,null,"Effective Care: Chronic Care","percent",null,null,null,null,null,null,1,null,"c","CWF Int. Comparison (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",2,"Dental care included in public healthcare? % of average income earners stating unmet need for a dental examination, 2010","% of average income earners stating unmet need for a dental examination, 2010",null,null,null,"OECD Health at a Glance 2015, Eurostat: http://dx.doi.org/10.1787/888933281066",null,null,null,null,"4.4.",1,null,"c","EHCI 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",2,"Care access: Unmet care need",null,null,null,null,null,null,null,null,null,"nA",1,null,"c","IOM 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",2,"Self-reported delayed contacts with health services for financial reasons (% of households) (by income level)",null,null,null,null,null,null,null,null,null,"A-4",1,null,"c","Belgium - Vrijens et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",2,"Unmet need (SILC) - income inequalities","The variables refer to the respondent's own assessment of whether he or she needed the respective type of examination or treatment, but did not have it and if so what was the main reason of not having it","The variables on unmet needs for health care targets two broad types of services: medical care and dental care. Eurostat currently disseminates the following indicators for unmet needs:  Self-reported unmet needs for medical examination for reasons of barriers of access  Self-reported unmet needs for medical examination by reason  Self-reported unmet needs for dental examination by reason All indicators are expressed as percentages within (or share of) the population and breakdowns are given by: sex, age, labour status, educational attainment level, and income quintile group. ",null,null,null,null,null,null,null,47,1,null,"c","Malta - Grech et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",2,"Percentage of people who forego care due to costs",null,null,"Getting better: Non-acute curative health care - Accessibility: financial access",null,null,null,null,null,null,46,1,null,"c","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",2,"Access to Health Care","Percentage of the general population reporting that they have access to the health care they need.\nThe indicator measures perceptions among members of the general population about their access to health care, regardless of whether they had recent contact with the system or not.","Numerator: Number of selected members of the general population that agreed wholly or in part with the statement that they had access to the health care they needed.\nDenominator: All interviewees in the sample of the general population for the year.",null,null,"Healthcare Survey: the purpose is to measure the attitudes, experience, knowledge and expectations of the adult population when it comes to the healthcare system. The rolling survey has been conducted once a year in every county and region since 2001.",null,null,null,null,19,1,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",3,"At-risk adults without a routine doctor visit in past two years","Percent of adults age 50 or older, or in fair or poor health, or ever told they have diabetes or pre-diabetes, acute myocardial infarction, heart disease, stroke, or asthma who did not visit a doctor for a routine checkup in the past two years.",null,null,null," 2013 and 2014 Behavioral Risk Factor Surveillance System (NCCDPHP, BRFSS 2013, 2014).",null,null,null,null,5,1,"Percent of adults age 50 or older, or in fair or poor health, or ever told they have diabetes or pre-diabetes, acute myocardial infarction, heart disease, stroke, or asthma who did not visit a doctor for a routine checkup in the past two years.","s","CWF State Scorecard",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A, B, E","Consolidated",4,"Self-reported unmet need for dental care (total by reason: cost, waiting time, distance)",null,null,null,null,null,null,null,null,null,null,1,"Disaggregated by sex, by age group (total, 18-64, 65+), by education level (ISCED 0-1, 2, 3-4, 5-6) and by income quintile.\nProportion of persons with self-declared unmet needs for dental care services due to either financial barriers, waiting times or traveling distances.","s","Consolidated",4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",4,"European health indicator on equity of access to dental care services","the percentage of people who self-reported an unmet need for dental care (dental examination or treatment) in the previous 12 months for the following three reasons: financial barriers, waiting times and/or long distances. ",null,"The self-reported unmet need for medical examination or treatment is an indicator for equity of access to health care services. It gives insight into the need for medical care and the obstacles that stand in the way\nof the actual use of health care services. As such it can provide useful information on how to overcome the obstacles for use and improve health. The underlying assumption is that the self-reported unmet need\ncorresponds with the actual need for medical care.",null,null,null,"http://ec.europa.eu/eurostat/web/health/health-care/data/database","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_silc_01_esms.htm",null,"80(A)",1,"self-reported unmet need;  by reason (financial barriers + waiting times + too far to travel), by income quintile, by education level, ","c","ECHI",null,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",4,"Unmet care needs for dental examination by income level","Unmet medical or dental care needs may be for financial reasons, waiting times or long distance to travel to get access to services.",null,null,null,null,null,null,null,null,null,1,"Proportion of persons by sex, by age group (total, 18-64, 65+), by education level (ISCED 0-1, 2, 3-4, 5-6) and by income quintile with self-declared unmet needs for dental care services due to either financial barriers, waiting times or traveling distances.","c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",4,"Percentage of population reporting problems accessing dental care by income quintile",null,null,"Access to health care services: equity in utilization of health care services",null,null,null,null,null,null,null,1,null,"c","Estonia HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",4,"Unmet care needs for dental examination by income level","Unmet medical or dental care needs may be for financial reasons, waiting times or long distance to travel to get access to services.",null,null,null,"OECD",null,null,null,null,null,1,"Proportion of persons by sex, by age group (total, 18-64, 65+), by education level (ISCED 0-1, 2, 3-4, 5-6) and by income quintile with self-declared unmet needs for dental care services due to either financial barriers, waiting times or traveling distances.","c","UK - Berry (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0]
["A, B, D, E","Consolidated",5,"Out-of-pocket medical spending as a share of final household consumption",null,null,null,null,null,null,null,null,null,null,1,"Out-of-pocket payments are expenditures borne directly by a patient where neither public nor private insurance cover the full cost of the health good or service. They include cost-sharing and other expenditure paid directly by private households and should also include estimations of informal payments to health care providers. Only expenditure for medical spending (i.e. current health spending less expenditure for the health part of long-term care) is presented here, because the capacity of countries to estimate private long-term care expenditure varies widely.\nHousehold final consumption expenditure covers all purchases made by resident households to meet their everyday needs such as food, clothing, rent or health services.","s","Consolidated",7,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,1,1,0,0,0,0,1,0,0,0,0]
["A","EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",5,"Financial burden of out- of-pocket payment for health care","A micro-level indicator to be defined.",null,null,null,null,null,null,null,null,"A-4",1,null,"c","JAF Health (DG EMPL)",null,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",5,"Household out-of- pocket payment for health care","A macro-level indicator to  be defined. 'Household out-of-pocket payment' means a direct payment for health care goods and services from the household primary income or savings, where the payment is made by the user at the time of the purchase of goods or the use of the service.",null,null,null,null,null,null,null,null,"A-6",1,"A macro-level indicator to  be defined. 'Household out-of-pocket payment' means a direct payment for health care goods and services from the household primary income or savings, where the payment is made by the user at the time of the purchase of goods or the use of the service.","c","JAF Health (DG EMPL)",null,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",5,"Out-of-pocket medical spending as a share of final household consumption","Out-of-pocket payments are expenditures borne directly by a patient where neither public nor private insurance cover the full cost of the health good or service. They include cost-sharing and other expenditure paid directly by private households and should also include estimations of informal payments to health care providers. Only expenditure for medical spending (i.e. current health spending less expenditure for the health part of long-term care) is presented here, because the capacity of countries to estimate private long-term care expenditure varies widely.\nHousehold final consumption expenditure covers all purchases made by resident households to meet their everyday needs such as food, clothing, rent or health services.",null,null,null,null,"services and goods",null,null,null,null,1,"Out-of-pocket payments are expenditures borne directly by a patient where neither public nor private insurance cover the full cost of the health good or service. They include cost-sharing and other expenditure paid directly by private households and should also include estimations of informal payments to health care providers. Only expenditure for medical spending (i.e. current health spending less expenditure for the health part of long-term care) is presented here, because the capacity of countries to estimate private long-term care expenditure varies widely.\nHousehold final consumption expenditure covers all purchases made by resident households to meet their everyday needs such as food, clothing, rent or health services.","c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",5,"Bulk-billing for non-referred (GP) attendances","Percentage of non-referred attendances that were bulk-billed based on Medicare Benefits Scheme (MBS) services. This includes GP, vocationally registered GP, enhanced primary care and other non-referred GP services. Presented as a percentage of total annual GP attendances per financial year.",null,null,null,null,null,null,null,null,null,1,null,"c","AIHW. (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",5,"Total household out-of-pocket payments and as a percentage of total household expenditure by income quintile",null,null,"Fair financing, financial protection and coverage: protection against the financial risk of ill health",null,null,null,null,null,null,null,1,null,"c","Estonia HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",5,"Out-of-pocket health care expenses as percentage of disposable household income",null,null,"Getting better: Non-acute curative health care - Accessibility: financial access",null,null,null,null,null,null,47,1,null,"c","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
["E","World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",5,"Out-of-pocket payments for health care services and medicines as percent of household capacity to pay by income quintile",null,null,"Social and financial risk protection",null,null,null,null,null,null,null,1,null,"c","Portugal HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0]
["E","Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",5,"Out-of-pocket medical spending as a share of final household consumption","Out-of-pocket payments are expenditures borne directly by a patient where neither public nor private insurance cover the full cost of the health good or service. They include cost-sharing and other expenditure paid directly by private households and should also include estimations of informal payments to health care providers. Only expenditure for medical spending (i.e. current health spending less expenditure for the health part of long-term care) is presented here, because the capacity of countries to estimate private long-term care expenditure varies widely.\nHousehold final consumption expenditure covers all purchases made by resident households to meet their everyday needs such as food, clothing, rent or health services.",null,null,null,"OECD","services and goods",null,null,null,null,1,"Out-of-pocket payments are expenditures borne directly by a patient where neither public nor private insurance cover the full cost of the health good or service. They include cost-sharing and other expenditure paid directly by private households and should also include estimations of informal payments to health care providers. Only expenditure for medical spending (i.e. current health spending less expenditure for the health part of long-term care) is presented here, because the capacity of countries to estimate private long-term care expenditure varies widely.\nHousehold final consumption expenditure covers all purchases made by resident households to meet their everyday needs such as food, clothing, rent or health services.","c","UK - Berry (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0]
["D, E","Consolidated",6,"Percentage of households experiencing high levels/catastrophic of out-of-pocket health expenditures ",null,null,null,null,null,null,null,null,null,null,1,"nA (Percentage of households experiencing high levels of/ catastrophic out-of-pocket health expenditures using different thresholds by age and income quintiles). ","s","Consolidated",4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,2,0,0,1,4,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",6,"Out-of-pocket expenses for medical bills more than $1,000 in the past year, US$ equivalent",null,null,null,null,null,null,null,null,null,null,1,null,"c","CWF Int. Comparison (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",6,"Percent of individuals under age 65 with high out-of-pocket medical spending relative to their annual income","Out-of-pocket medical expenses equaled 10 percent or more of income, or five percent or more of income\nif low-income (under 200% of Federal Poverty Level), not including health insurance premiums.",null,null,null,"C. Solis-Roman, Robert F. Wagner School of Public Service, New York University, analysis of 2014 and 2015 Current Population Survey, Annual Social and Economic Supplement (U.S. Census Bureau, CPS\nASES 2014, 2015).",null,null,null,null,4,1,"Out-of-pocket medical expenses equaled 10 percent or more of income, or five percent or more of income\nif low-income (under 200% of Federal Poverty Level), not including health insurance premiums.","c","CWF State Scorecard",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",6,"Patient had serious problems paying or was unable to pay medical bills",null,null,null,null,null,null,null,null,null,null,1,null,"c","CWF Int. Comparison (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",6,"Physicians think their patients often have difficulty paying for medications or out-of-pocket costs",null,null,null,null,null,null,null,null,null,null,1,null,"c","CWF Int. Comparison (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",6,"Patient's insurance denied payment for medical care or did not pay as much as expected",null,null,null,null,null,null,null,null,null,null,1,null,"e/ms","CWF Int. Comparison (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",6,"Personal spending burden: Health care-related bankruptcies","This measure, which captures the downstream effect of spending that exceeds individuals’ ability to pay, may provide additional information for certain stakeholder groups",null,null,null,null,null,null,null,null,"nA",1,"captures the downstream effect of spending that exceeds individuals’ ability to pay","c","IOM 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",6,"Personal spending burden: High spending relative to income","Income devoted to health care",null,null,null,null,null,null,null,null,"nA",1,"household income devoted to out-of-pocket health care spending","c","IOM 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",6,"Proportion of households impoverished due to out-of-pocket payments","check definition",null,"Fair financing, financial protection and coverage: protection against the financial risk of ill health",null,null,null,null,null,null,null,1,null,"c","Estonia HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",6,"Percentage of households in Hungary experiencing high levels of out-of-pocket health expenditures using different thresholds",null,null,null,null,null,null,null,null,null,null,1,null,"c","Hungary HSPA (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",6,"Percentage of households in Hungary experiencing catastrophic health expenditure or impoverishing health expenditure",null,null,null,null,"Hungarian Central Statistical Office (HCSO) Household Budget Survey data",null,null,null,null,null,1,null,"c","Hungary HSPA (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",6,"Percentage of households in Hungary experiencing catastrophic health expenditure or impoverishing health expenditure: comparison of the standard WHO methodology and the extended basket of essential goods approach",null,null,null,null,null,null,null,null,null,null,1,null,"c","Hungary HSPA (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",6,"Distribution of catastrophic expenditures according to income quintiles","a summary indicator of equity in financing widely used in international literature",null,"Unfortunately, there has\nbeen no monitoring of this aspect of equity over the years, except for\none study on private expenditure, which found it similarly regressive\nin 2007 (-0.2726) as in 1999 (Csaba, 2007).",null,null,null,null,null,null,null,1,null,"c","Hungary HSPA (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",7,"Shares of out-of-pocket medical spending by services and goods","Out-of-pocket payments are expenditures borne directly by a patient where neither public nor private insurance cover the full cost of the health good or service. They include cost-sharing and other expenditure paid directly by private households and should also include estimations of informal payments to health care providers. Only expenditure for medical spending (i.e. current health spending less expenditure for the health part of long-term care) is presented here, because the capacity of countries to estimate private long-term care expenditure varies widely.\nHousehold final consumption expenditure covers all purchases made by resident households to meet their everyday needs such as food, clothing, rent or health services.",null,null,null,null,"services and goods",null,null,null,null,1,"Services and goods include curative care, Dental care, Pharmaceuticals, Therapeutic appliances and Other","s","Health at a Glance 2015",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["C, E","Consolidated",8,"Private household out-of-pocket expenditure as a proportion of total health expenditure",null,null,null,null,null,null,null,null,null,null,1,"Out of pocket expenditure is any direct outlay by households, including gratuities and in-kind payments, to health practitioners and suppliers of pharmaceutical, therapeutic appliances and other goods and service whose primary intent is to contribute to the restoration or enhancement of the health status of individuals or population groups. It is a part of private expenditure’.","s","Consolidated",6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,1,1,0,1,0,1,0,0,0,0,0,0,0,0,0]
["C","WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",8,"Private household out-of-pocket expenditure as a proportion of total health expenditure","The level of out-of-pocket expenditure is expressed as a percentage of private expenditure on health.\nPrivate households’ out-of-pocket payments on health are the direct outlays of households, including gratuities and payments in kind made to health practitioners and suppliers of pharmaceuticals, therapeutic appliances and other goods and services, whose primary intent is to contribute to the restoration or enhancement of the health status of individuals or population groups. They also include household payments to public services, non-profit institutions or nongovernmental organizations, non-reimbursable cost sharing, deductibles, co-payments and fees for service. They exclude payments made by enterprises that deliver medical and paramedical benefits, mandated by law or not, to their employees and payments for overseas treatment.",null,"This is a core indicator of health financing systems. It contributes to the understanding of the relative weight of direct payments by households in total health expenditure. High out-of-pocket payments are strongly associated with catastrophic and impoverishing spending, so this indicator represents a key support for equity and planning processes.",null,null,"nA",null,null,null,16,1,"The level of out-of-pocket expenditure is expressed as a percentage of private expenditure on health.\nPrivate households’ out-of-pocket payments on health are the direct outlays of households, including gratuities and payments in kind made to health practitioners and suppliers of pharmaceuticals, therapeutic appliances and other goods and services, whose primary intent is to contribute to the restoration or enhancement of the health status of individuals or population groups. They also include household payments to public services, non-profit institutions or nongovernmental organizations, non-reimbursable cost sharing, deductibles, co-payments and fees for service. They exclude payments made by enterprises that deliver medical and paramedical benefits, mandated by law or not, to their employees and payments for overseas treatment.","c","WHO Health 2020",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",8,"Out-of-pocket payments (% of total health expenditures)",null,null,null,null,null,null,null,null,null,"A-2",1,null,"c","Belgium - Vrijens et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",8,"Out-of-pocket and other private expenditure on health as a percentage of total health expenditure",null,null,"Fair financing, financial protection and coverage: health system expenditures",null,null,null,null,null,null,null,1,null,"c","Estonia HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",8,"Out-of-pocket expenditure on health as a percent of total health expenditure",null,null,null,null,"WHO",null,null,null,null,null,1,null,"c","Hungary HSPA (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",8,"Out of pocket health expenditure as % of Total Health Expenditure/private Health Expenditure","Out of pocket expenditure is any direct outlay by households, including gratuities and in-kind payments, to health practitioners and suppliers of pharmaceutical, therapeutic appliances and other goods and service whose primary intent is to contribute to the restoration or enhancement of the health status of individuals or population groups. It is a part of private expenditure’.",null,null,null,null,null,null,null,null,49,1,null,"c","Malta - Grech et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0]
["E","World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",8,"Out-of-pocket payments as percent of total health care spending",null,null,"Equity in finance",null,null,null,null,null,null,null,1,null,"c","Portugal HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0]
["E","Consolidated",9,"Out-of-pocket payments as percentage of GDP, per capita",null,null,null,null,null,null,null,null,null,null,1,"Out of pocket expenditure is any direct outlay by households, including gratuities and in-kind payments, to health practitioners and suppliers of pharmaceutical, therapeutic appliances and other goods and service whose primary intent is to contribute to the restoration or enhancement of the health status of individuals or population groups. It is a part of private expenditure’, expressed in following units: i) as percentage of GDP, ii) in PPS per capita. ","s","Consolidated",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",9,"Out-of-pocket payments (in US $ PPP/capita)",null,null,null,null,null,null,null,null,null,"A-3",1,null,"c","Belgium - Vrijens et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",9,"Out-of-pocket payments as percentage of GDP, per capita",null,null,"Fair financing, financial protection and coverage: health system expenditures",null,null,null,null,null,null,null,1,null,"c","Estonia HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["C","WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",10,"Household final consumption expenditure per capita","Household final consumption expenditure is the market value of all goods and services, including durable products (such as cars, washing  machines  and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellings. It also includes payments and fees to governments to obtain permits and licenses. Here, household consumption expenditure includes expenditure by non-profit institutions serving households (NPISH), even when reported separately by the country. Data are in constant 2005 US dollars.",null,"An economy’s growth is measured by the change in the volume of its output or in the real incomes of its residents. The 2008 United Nations System of National Accountso offers three plausible indicators for calculating growth: the volume of gross domestic product (GDP), real gross domestic income and real gross national income. The volume of GDP is the sum of value added, measured at constant prices, by households, government and industries operating in the economy. GDP accounts for all domestic production, regardless of whether the income accrues to domestic or foreign institutions.",null,null,"Country",null,null,null,"15.1.",1,"Household final consumption expenditure is the market value of all goods and services, including durable products (such as cars, washing  machines  and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellings. It also includes payments and fees to governments to obtain permits and licenses. Here, household consumption expenditure includes expenditure by non-profit institutions serving households (NPISH), even when reported separately by the country. Data are in constant 2005 US dollars.\nOECD: Household spending is the amount of final consumption expenditure made by resident households to meet their everyday needs, such as: food, clothing, housing (rent), energy, transport, durable goods (notably, cars), health costs, leisure, and miscellaneous services. It is typically around 60% of gross domestic product (GDP) and is therefore an essential variable for economic analysis of demand. Household spending, including government transfers, is the actual individual consumption that it is equal to households' consumption expenditure plus those (individual) expenditures of general government and non-profit institutions serving households (NPISHs) that directly benefit households, such as, health care and education.  (https://data.oecd.org/hha/household-spending.htm#indicator-chart)","s","WHO Health 2020",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",11,"Informal payments to doctors","Mean response to question: \"Would patients be expected to make unofficial payments?\"",null,null,null,"Survey commissioned from Patient View by HCP 2014. National healthcare agencies.",null,null,null,null,"4.5.",1,"Mean response to question: \"Would patients be expected to make unofficial payments?\"","s","EHCI 2015",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",12,"Geographic distribution of doctors: Physicians density in predominantly urban and rural regions","Regions are classified in two territorial levels. The higher level (Territorial Level 2) consists of large regions corresponding generally to national adminis- trative regions. These broad regions may contain a mix of urban, intermediate and rural areas. The lower level is composed of smaller regions classified as pre- dominantly urban, intermediate or rural regions, although there are variations across countries in the classification of these regions.",null,null,null,null,null,null,null,null,null,1,"Density per 1 000 population","s","Health at a Glance 2015",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","Consolidated",13,"Access to acute care",null,null,null,null,null,null,null,null,null,null,1,"Percentage of people who can REACH primary, emergency and materinity care services within 15/30 minutes","s","Consolidated",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,9,0,0,0,0,0,0,0,0,0,0]
["E","Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",13,"Access to PCI for AMI patients admitted for AMI care","check definition\nDone and its further application is advised",null,"Cardiology/stroke: Access",null,null,null,null,null,null,null,1,"check definition\nDone and its further application is advised","c","Hungary HSPA (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",13,"Rate of premature newborns transported to perinatal intensive centre (PIC) after over one day","Done and its further application is advised",null,"Obstetrics/neonatology: Access",null,null,null,null,null,null,null,1,"Done and its further application is advised","c","Hungary HSPA (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",13,"Rate of psychiatric patients receiving antidepressant treatment","Theoretical proposal, but in practice use of indicator is not advised",null,"Psychiatry/addictology: Access",null,null,null,null,null,null,null,1,"Theoretical proposal, but in practice use of indicator is not advised","c","Hungary HSPA (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",13,"Percentage of people living more than a 30-minute car journey from the nearest out-ofhours GP centre",null,null,"Acute care - Accessibility",null,null,null,null,null,null,34,1,null,"c","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",13,"Percentage of people who can be reached within 30 minutes by a mobile medical team in the daytime hours",null,null,"Acute care - Accessibility",null,null,null,null,null,null,35,1,null,"c","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",13,"Percentage of people living within 15 minutes’ reach of the nearest ambulance station",null,null,"Acute care - Accessibility",null,null,null,null,null,null,32,1,null,"c","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",13,"Percentage of people who can be taken by ambulance to the nearest emergency department within 45 minutes",null,null,"Acute care - Accessibility",null,null,null,null,null,null,33,1,null,"c","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",13,"Percentage of pregnant women that can reach the nearest midwife practice within 10 minutes",null,null,"Antenatal, perinatal and postpartum care - Accessibility",null,null,null,null,null,null,1,1,null,"c","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",13,"Percentage of pregnant women that can reach a hospital maternity unit by car within 30 minutes",null,null,"Antenatal, perinatal and postpartum care - Accessibility",null,null,null,null,null,null,2,1,null,"c","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",13,"Percentage of pregnant women that can be transported to a hospital maternity unit by ambulance within 45 minutes",null,null,"Antenatal, perinatal and postpartum care - Accessibility",null,null,null,null,null,null,3,1,null,"c","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",13,"Percentages of people living more than a 10-minute car journey from nearest GP practice and nearest pharmacy",null,null,"Getting better: Non-acute curative health care - Accessibility: geographical access",null,null,null,null,null,null,48,1,null,"c","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",13,"Percentage of people living more than a 30-minute car journey from nearest hospital",null,null,"Getting better: Non-acute curative health care - Accessibility: geographical access",null,null,null,null,null,null,49,1,null,"c","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
["A, E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",14,"Percentage of preterm births delivered in maternity units without an on-site neonatal intensive care unit",null,null,"Antenatal, perinatal and postpartum care - Quality: integrated care",null,null,null,null,null,null,19,1,"The percentage of preterm live and stillbirths less than 32 completed weeks of gestation that are born in a maternity unit without an on-site neonatal intensive care unit. The place of birth of very preterm birth should be presented by level of neonatal intensive care unit using local official or, if no official definitions exist, unofficial definitions with the units without a NICU highlighted.","s","Netherlands - van den Berg et al. (2015)",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0]
["A","Euro-Peristat. (2012). Euro-Peristat project - Better statistics for better health for pregnant women and their babies.   Retrieved from http://www.europeristat.com/",14,"Percentage of very preterm babies delivered in units without a NICU","The percentage of preterm live and stillbirths less than 32 completed weeks of gestation that are born in a maternity unit without an on-site neonatal intensive care unit. The place of birth of very preterm birth should be presented by level of neonatal intensive care unit using local official or, if no official definitions exist, unofficial definitions with the units without a NICU highlighted.",null,null,null,null,null,null,null,null,"R17",1,null,"c","Europeristat (R) ",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0]
["A, D","Consolidated",15,"Patient mobility: non-resident people among all people being discharged from hospital",null,null,null,null,null,null,null,null,null,null,1,"Absolute number / Percentage","s","Consolidated",2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",15,"Patient mobility: non-resident people among all people being discharged from hospital","Absolute number and percentage of non-resident people among all people being discharged from hospital.","Absolute number and percentage of non-resident people among all people being discharged from hospital (both day-cases and in-patients) in a country and in a given calendar year. The definition of hospitals (HP.1) follows the International Classification for Health Accounts– Providers of health care (ICHA-HP) of the System of Health Accounts. For definitions of residents, an in-patient, day-case and a hospital discharge see remarks.","Meets the increasingly important EU-health policy issue of cross-border care. Increased patient mobility raises a number of issues and concerns in MS in respect of e.g. health care availability and utilisation, health\ninfrastructure development, cost sharing and patient safety.",null,"Eurostat","Country Year\nRegion (according to ISARE recommendations)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_co_dischnr&lang=en","http://epp.eurostat.ec.europa.eu/cache/ITY_SDDS/EN/hlth_act_esms.htm","http://ec.europa.eu/health/indicators/docs/echi_75.pdf",75,1,"Absolute number / Percentage","c","ECHI",null,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",15,"Cross-border care seeking freely allowed","Awareness of right to seek care in another EU state; at least 2 correct answers.",null,null,null,"Special Eurobarometer 425, May 2015, report p. 35",null,null,null,null,"1.8.",1,"Awareness of right to seek care in another EU state; at least 2 correct answers.","c","EHCI 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",null,"Average hospital waiting times for inpatient, outpatient and ambulatory care",null,null,"Access to health care services: utilization of health care services",null,null,null,null,null,null,null,1,null,"c","Estonia HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",null,"Distribution of waiting times for hospital inpatient care in large Estonian hospitals",null,null,"Access to health care services: utilization of health care services",null,null,null,null,null,null,null,1,null,"c","Estonia HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","Consolidated",16,"Ambulance response times",null,null,null,null,null,null,null,null,null,null,1,"Percentage of emergency ambulance callouts that arrive on the scene within the 15-minute standard","s","Consolidated",4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,1,0,1,0,0,0,0,0,0]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",16,"Percentage of emergency ambulance callouts that arrive on the scene within the 15-minute standard",null,null,"Acute care - Quality",null,null,null,null,null,null,36,1,null,"c","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",16,"Ambulance Response Time",null,null,null,null,null,null,null,null,null,6,1,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0]
["E","Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",16,"Ambulance response times","Emergency responses within 8 minutes (category A, life-threatening), %",null,null,null,null,null,null,null,null,null,1,"Emergency responses within 8 minutes (category A, life-threatening), %","c","UK - Bevan et al. (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0]
["D, E","Consolidated",17,"Waiting times for emergency department care",null,null,null,null,null,null,null,null,null,null,1,"Percentage of patients who were treated within national benchmarks for waiting times for each triage category in public hospital emergency departments. The national benchmarks are:\n􀁴 Resuscitation: immediate (within seconds)\n􀁴 Emergency: within 10 minutes\n􀁴 Urgent: within 30 minutes\n􀁴 Semi-urgent: within 60 minutes\n􀁴 Non-urgent: within 120 minutes.\nThis is presented as a percentage.","s","Consolidated",5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,2,1,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",17,"Waiting time for emergency department care","Percentage of patients who were treated within national benchmarks for waiting times for\neach triage category in public hospital emergency departments. The national benchmarks are:\n􀁴 Resuscitation: immediate (within seconds)\n􀁴 Emergency: within 10 minutes\n􀁴 Urgent: within 30 minutes\n􀁴 Semi-urgent: within 60 minutes\n􀁴 Non-urgent: within 120 minutes.\nThis is presented as a percentage.",null,null,null,null,null,null,null,null,null,1,null,"c","AIHW. (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",17,"Emergency Department Wait Time for Physician Initial Assessment (Hours, 90th Percentile)","Time is crucial to the effectiveness and outcome of patient care, especially for emergency patients. This indicator looks at the maximum length of time (in hours) that 90% of patients wait in the emergency department (ED) for a physician initial assessment.","This indicator examines the time interval between the earlier of triage date/time or registration date/time and the date/time of physician initial assessment in the ED. It is measured in hours and represents the maximum length of time that 90% of patients stay in the ED until they are initially assessed by a physician.","Lower is better. It means that 90% of patients spent less time in the ED waiting for a physician’s initial assessment.",null,"·      Canadian Community Health Survey, Statistics Canada",null,null,"http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=5111829",null,null,1,null,"c","CIHI In Depth (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",17,"Total Time Spent in Emergency Department for Admitted Patients (Hours, 90th Percentile)","Time is crucial to the effectiveness and outcome of patient care, especially for emergency patients. This indicator measures the maximum total length of time that 90% of patients admitted from the emergency department (ED) spend in the ED.","This indicator measures the time interval between the earlier of triage date/time or registration date/time and the date/time when a patient is admitted and leaves the ED. It is measured in hours and represents the maximum total length of time that 90% of patients admitted from the ED stay in the ED.","Lower is better. It means that 90% of admitted patients spent less time in the ED before transferring to an inpatient unit or an operating room.",null,"·      Canadian Institute for Health Information",null,null,"http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=5111863",null,null,1,null,"c","CIHI In Depth (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",17,"Waiting time for emergency care was 2 hours or more (base: used an emergency room in past 2 years)",null,null,null,null,null,null,null,null,null,null,1,null,"c","CWF Int. Comparison (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",17,"Waited 2 hours or more in ER (base: those going to ER) (by two income categories)","by two income categories: those who reported their incomes as above the country median and those who reported their incomes as below the country median. ",null,null,null,null,null,null,null,null,null,1,null,"c","CWF Int. Comparison (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",17,"A&E waiting times","“Waiting time”: the period between arrival at the hospital door and when a doctor starts treating/attending the problem.",null,null,null,"Survey commissioned by HCP from Patient View 2015. Interviews with healthcare officials, feedback from national agencies. www.socialstyrelsen.se : Väntetider cancervård",null,null,null,null,"2.6.",1,null,"c","EHCI 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D, E","Consolidated",18,"Reported waiting times for General Practitioners care",null,null,null,null,null,null,null,null,null,null,1,"Disaggregated by sex, age, income level. \nPercentage of patients who were given an appointment with a general practitioner for \ni) acute care: the same day or \nii) routine care: within seven days","s","Consolidated",6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,1,0,0,0,3,0,0,0,3,0,3,0,1,0,0,0,0,0,0]
["D","K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",18,"Last time needed medical attention, was able to see doctor or nurse the same or next day",null,null,null,null,null,null,null,null,null,null,1,"nA","c","CWF Int. Comparison (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",18,"Last time needed medical attention was able to see doctor or nurse the same or next day (by two income categories)","by two income categories: those who reported their incomes as above the country median and those who reported their incomes as below the country median. ",null,null,null,null,null,null,null,null,null,1,null,"c","CWF Int. Comparison (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",18,"Very or somewhat difficult to get medical care in the evening, weekend, or on a holiday without going to the emergency room (base: sought after-hours care)",null,null,null,null,null,null,null,null,null,null,1,"nA","c","CWF Int. Comparison (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",18,"Somewhat or very difficult to get care in the evenings, on weekends, or holidays (base: sought after-hours care) (by two income categories)","by two income categories: those who reported their incomes as above the country median and those who reported their incomes as below the country median. ",null,null,null,null,null,null,null,null,null,1,null,"c","CWF Int. Comparison (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",18,"Patients reporting always or often getting telephone answer from doctor the same day (base: have a regular doctor and tried to contact by phone)",null,null,"Patient-centered Care: Communication","percent",null,null,null,null,null,null,1,null,"c","CWF Int. Comparison (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",18,"Family doctor same day access","Can I count on seeing my primary care doctor today?",null,null,null,"Survey commissioned from Patient View by HCP 2015. National healthcare agencies.",null,null,null,null,"2.1.",1,null,"c","EHCI 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",18,"Reported waiting times for access to General Practitioners",null,null,"Access to health care services: utilization of health care services",null,null,null,null,null,null,null,1,null,"c","Estonia HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",18,"Percentage of GP practices not accessible by telephone within two minutes for non-urgent calls",null,null,"Getting better: Non-acute curative health care - Accessibility: timeliness",null,null,null,null,null,null,50,1,null,"c","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",18,"Percentage of GP practices conforming to the practice standard of 30 seconds for emergency telephone calls",null,null,"Acute care - Quality",null,null,null,null,null,null,37,1,null,"e/ms","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",18,"Percentage of emergency calls to out-of-hours GP centres answered within the practice standard of 30 seconds",null,null,"Acute care - Quality",null,null,null,null,null,null,38,1,null,"e/ms","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",18,"Appointment with a Primary Care Doctor within Seven Days","Percentage of patients who were given an appointment with a general practitioner within seven days",null,null,null,"Waiting Times in Health Care Database",null,null,null,null,31,1,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",18,"Perceived Availability of Appointments at Primary Care Clinics","\"How do you feel about the time you had to wait?\" Patient-perceived quality of primary care",null,null,null,"National Patient Survey",null,null,null,null,32,1,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",18,"Availability of Primary Care by Phone","Number of phone calls answered in primary care, Only health centres and computerised telephone systems.",null,null,null,"Waiting Times in Health Care Database",null,null,null,null,33,1,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0]
["E","Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",18,"Access to GP services","The weighted percentage of GP patient survey respondents who said they had a good experience of making an appointment. The percentage of respondents who answered the relevant question is also presented.",null,null,null,null,null,null,null,null,null,1,null,"c","UK - Bevan et al. (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0]
["E","Consolidated",19,"Reported waiting times for dental care",null,null,null,null,null,null,null,null,null,null,1,"Percentage of patients who were given an appointment with a dentist for \ni) acute care: the same day or \nii) routine care: within x days. \nExact day range to be defined. ","s","Consolidated",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,1,0,0,0,0,0,0]
["E","Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",19,"Access to NHS dental services","Patient experience of access to NHS dental services, measured by scoring the results of two questions from the GP Patient Survey.",null,null,null,null,null,null,null,null,null,1,null,"c","UK - Bevan et al. (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0]
["A, D, E","Consolidated",20,"Reported waiting times for access to specialist (care)",null,null,null,null,null,null,null,null,null,null,1,"No attempt was made to provide a single definition; instead following definitions are considered as examples: \nWaiting time of more than two weeks to get an appointment with a specialist (% of population asking an appointment). \nWaited 2 months or longer for specialist appointment (base: needed to see specialist in past 2 years) (by two income categories).\nWaiting time longer than 1 month for first contact in ambulatory mental health centre (% of pop with contact in ambulatory mental health centre).\nWaiting time, referral to treatment: Doctors report patients often experience long wait times to receive treatment after diagnosis (e.g. cancer treatment delays). Percentage of patients treated within 18 weeks. \n","s","Consolidated",13,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,2,1,1,2,3,2,0,1,1,0,8,0,1,0,0,0,0,0,0]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",20,"Cancer treatment delay","To be established, e.g. the average time (in days) between the date of first visit to general practitioner and the date of first treatment, by cancer site (breast, colon and rectal cancer). Time between incidence date and date of first treatment could also be an option.",null,"Indicator for the quality of cancer care. Indicators on cancer treatment quality are necessary to investigate the determinants of inequalities across Europe in terms of care. Explains part of the differences in cancer survival.","Topic needs much further development. The keys issues are:\n1) Is it appropriate to choose the following cancers: breast, colon and rectal cancer.\n2) Are first visit to general practitioner and first treatment the most appropriate starting and end points to measure treatment delay? For each cancer patient, five (six) dates in his/her patient history can be distinguished: 1) First visit to general practitioner, 2) First request for a clinical/hospital appointment,\n3) First clinical/hospital appointment, 4) Date of definitive diagnosis, 5) Date of first treatment (surgery, systemic therapy or radiotherapy), And for colon and rectal cancers, also 6) Information on elective or emergency surgery. Based on EUROCHIP-2 outcomes, time between first GP visit and first treatment seems the best option. The EUROCHIP-3 project looked into the availability of data for an indicator based on the definition of time between incidence date and date of first treatment (see remarks).\n3)  Data availability?",null,"nA","nA","nA","nA",83,1,"To be established, e.g. the average time (in days) between the date of first visit to general practitioner and the date of first treatment, by cancer site (breast, colon and rectal cancer). Time between incidence date and date of first treatment could also be an option.","c","ECHI",null,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",20,"Cancer treatment delay","currently being developed as a part of the ECHI initiative",null,"Equity of access to health care services",null,null,null,null,null,null,"nA",1,null,"c","ESIF for Health 2015",null,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",20,"Waiting time to see a specialist was 2 months or more (base: saw or needed to see a specialist in past 2 years)",null,null,null,null,null,null,null,null,null,null,1,null,"c","CWF Int. Comparison (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",20,"Waited 2 months or longer for specialist appointment (base: needed to see specialist in past 2 years) (by two income categories)","by two income categories: those who reported their incomes as above the country median and those who reported their incomes as below the country median. ",null,null,null,null,null,null,null,null,null,1,null,"c","CWF Int. Comparison (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",20,"Percent of children with emotional, behavioral, or developmental problems who received needed mental health care in the past year","Percent of children ages 2-17 who had any kind of emotional, developmental, or behavioral problem that required treatment or counseling and who received treatment from a mental health professional (as defined) during the past 12 months.",null,null,null,"2011/12 National Survey of Children’s Health (CAHMI, NSCH 2011/12).",null,null,null,null,11,1,"Percent of children ages 2-17 who had any kind of emotional, developmental, or behavioral problem that required treatment or counseling and who received treatment from a mental health professional (as defined) during the past 12 months.","c","CWF State Scorecard",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",20,"Doctors report patients often experience long wait times to receive treatment after diagnosis",null,null,null,null,null,null,null,null,null,null,1,null,"c","CWF Int. Comparison (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",20,"Direct access to specialist","Without referral from family doctor (GP)",null,null,null,"Survey commissioned by HCP from Patient View 2015. Interviews with healthcare officials, feedback from national agencies.",null,null,null,null,"2.2.",1,null,"c","EHCI 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",20,"Cancer therapy < 21 days","Time to get radiation/ chemotherapy after decision",null,null,null,"Survey commissioned by HCP from Patient View 2015. Interviews with healthcare officials, feedback from national agencies. www.socialstyrelsen.se : Väntetider cancervård",null,null,null,null,"2.4.",1,null,"c","EHCI 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",20,"Care access: Delay of needed care",null,null,null,null,null,null,null,null,null,"nA",1,null,"c","IOM 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",20,"Waiting times for youth access to mental health and alcohol and other drug services","nA",null,"‘Young people make good choices’",null,null,null,null,null,null,"6.1.",1,null,"c","MoH New Zealand 2016",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",20,"Waiting time of more than two weeks to get an appointment with a specialist (% of population asking an appointment)",null,null,null,null,null,null,null,null,null,"A-9",1,null,"c","Belgium - Vrijens et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",20,"Waiting time longer than 1 month for first contact in ambulatory mental health centre (% of pop with contact in ambulatory mental health centre)",null,null,null,null,null,null,null,null,null,"MH-3",1,null,"c","Belgium - Vrijens et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",20,"Reported waiting times for specialist services",null,null,"Access to health care services: utilization of health care services",null,null,null,null,null,null,null,1,null,"c","Estonia HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",20,"Oncology patients’ access to care","check definition\nDone, but the further application of the indicator is not advised, or only with precautions",null,"Oncology: Access",null,null,null,null,null,null,null,1,null,"c","Hungary HSPA (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",20,"Rehabilitation of acute addictology patients after more than 60 days","Done, but the further application of the indicator is not advised, or only with precautions",null,"Psychiatry/addictology: Timeliness",null,null,null,null,null,null,null,1,"nA","c","Hungary HSPA (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",20,"Waiting times for appointment at Out-patient Clinics (from date of request)","nA","nA",null,null,null,null,null,null,null,14,1,null,"c","Malta - Grech et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",20,"Percentages of clients obtaining care within waiting times prescribed by Treek standards",null,null,"Living with long-term illness or functional limitations - Accessibility (and availability)",null,null,null,null,null,null,76,1,null,"c","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",20,"Specialist Appointment within 90 Days","Percentage of patients who waited 90 days or less for appointments with specialists",null,null,null,"Waiting Times in Health Care Database",null,null,null,null,34,1,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",20,"Adult Psychiatry – Appointment within 90 Days","Appointments at adult psychiatric clinics – percentage of patients with waiting times longer than 90 days of everyone on the waiting list",null,null,null,null,null,null,null,null,140,1,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",20,"Child and Adolescent Psychiatry – Appointment within 30 Days","Appointments at child and adolescent psychiatric clinics – percentage of patients with waiting times longer than 30 days of everyone on the waiting list",null,null,null,null,null,null,null,null,139,1,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",20,"Waiting Times for Breast Cancer Surgery",null,null,null,null,null,null,null,null,null,125,1,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",20,"Waiting Time from Receipt of Referral until Decision to Treat a Lung Cancer Patient",null,null,"A key indicator of lung cancer care is the amount of time that transpires between\nthe date that a specialist clinic receives a referral – or is contacted by the patient –\nand the decision to treat. The waiting time includes assessment and diagnosis until a\ndecision is made at a multidisciplinary team meeting or in some other manner. The\nclinic ordinarily specialises in either pulmonary medicine or oncology.",null,null,null,null,null,null,128,1,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",20,"Waiting Time from Prostate Cancer Referral until Initial Appointment with a Urologist","Waiting time from a prostate cancer referral until the initial appointment with a urologist",null,null,null,null,null,null,null,null,129,1,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",20,"Waiting Time from Receipt of Referral until Commencement of Treatment for Head and Neck Cancer Patients","Average waiting time from receipt of a referral by a specialist clinic until commencement of treatment for malignant head and neck tumour",null,null,null,null,null,null,null,null,131,1,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",20,"Prostate Cancer – Curative Treatment of Patients Aged 75 and Younger","Prostate cancer – percentage of patients under 75 with a local medium-risk or high-risk tumour who received curative treatment",null,null,null,null,null,null,null,null,130,1,"Prostate cancer – percentage of patients under 75 with a local medium-risk or high-risk tumour who received curative treatment","c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0]
["E","Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",20,"Waiting time, referral to treatment","Referral to treatment, % of patients treated within 18 weeks",null,null,null,null,null,null,null,null,null,1,"Referral to treatment, % of patients treated within 18 weeks","c","UK - Bevan et al. (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0]
["D, E","Consolidated",21,"Reported waiting times for imaging tests",null,null,null,null,null,null,null,null,null,null,1,"Doctors report patients often experience difficulty getting specialized tests (e.g., CT, MRI). ","s","Consolidated",4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,2,0,0,1,0,0,0,0,0,0,0,0,0,0,0]
["D","K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",21,"Doctors report patients often experience difficulty getting specialized tests (e.g., CT, MRI)",null,null,null,null,null,null,null,null,null,null,1,null,"c","CWF Int. Comparison (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",21,"CT scan < 7days","Wait for advanced diagnostic (non-acute)",null,null,null,"Survey commissioned by HCP from Patient View 2015. Interviews with healthcare officials, feedback from national agencies. www.socialstyrelsen.se : Väntetider cancervård",null,null,null,null,"2.5.",1,null,"c","EHCI 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",21,"Waiting times for out-patient based investigations (Angiograms, MRI, ultrasound, CT scan), interventions (total knee replacement, total hip replacement, cataracts, varicose veins, inguinal hernias, chemotherapy, radiotherapy)","Average inpatient waiting time for elective (i.e. non-urgent) surgeries of Percutaneous Transluminal Coronary Angioplasty (PTCA), hip replacement and cataract operation, measured in number of days. Elective surgery is defined as when surgery is necessary, but the timing of the procedure can be scheduled and the patient can be sent home",null,null,null,null,null,null,null,null,30,1,null,"c","Malta - Grech et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0]
["A, B, D, E","Consolidated",22,"Waiting times for elective surgeries",null,null,null,null,null,null,null,null,null,null,1,"Average inpatient waiting time for elective (i.e. non-urgent) surgeries of Percutanerous Transluminal Coronary Angioplasty (PTCA), hip replacement and cataract operation, measured in number of days. Elective surgery is defined as when surgery is necessary, but the timing of the procedure can be scheduled and the patient can be sent home.","s","Consolidated",12,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,3,0,0,0,0,1,0,1,1,0,0,0,2,0,0,0,0,2,1,0,1,0,1,0,0,0,0]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",22,"Waiting times for elective surgeries","Average inpatient waiting time for elective (i.e. non-urgent) surgeries of Percutanerous Transluminal Coronary Angioplasty (PTCA), hip replacement and cataract operation, measured in number of days. Elective surgery is defined as when surgery is necessary, but the timing of the procedure can be scheduled and the patient can be sent home.",null,"Indicator for the accessibility of health care, with focus on elective interventions. Long waiting times can lead to deterioration in health, loss of effectiveness and extra costs. They generate dissatisfaction for the patients\nand among the general public","Topic needs much development. The keys issues are:\n1) Are the 3 procedures currently selected OK and enough? The three procedures were originally selected as examples from those that have best data availability at OECD, and as being similar to the ones measured under the ECHI indicator 73. Surgeries: PTCA, hip, cataract.\n2) There is a choice between concepts of “waiting times of the patients admitted” and “waiting times of the patients on the list at a census date”. Member States measure waiting times in very different ways. The most important distinction is between the ‘waiting times of the patients admitted’ (i.e. recording waiting of all patients at the time of admission for treatment) and the ‘waiting times of the patients on the list at a census date’ (i.e. taking a periodic census of patients on a list and recording waiting up to that date). We propose to take the first one.\n3) The measure of the length of waiting time, mean or median or both? Mean waiting times tend to be systematically higher than median waiting times. We propose to take the median.\n4) There is no regular/sustainable data collection for this indicator topic. Also OECD has not followed up on its earlier pilot data collections.",null,"nA","nA","nA","nA",81,1,"Average inpatient waiting time for elective (i.e. non-urgent) surgeries of Percutanerous Transluminal Coronary Angioplasty (PTCA), hip replacement and cataract operation, measured in number of days. Elective surgery is defined as when surgery is necessary, but the timing of the procedure can be scheduled and the patient can be sent home.","c","ECHI",null,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",22,"Waiting time for certain types of surgeries","currently being developed as a part of the ECHI initiative",null,"Equity of access to health care services",null,null,null,null,null,null,"nA",1,null,"c","ESIF for Health 2015",null,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",22,"Waiting Times, Waiting Lists in different parts of the health system",null,null,null,null,null,null,null,null,null,"nA",1,null,"c","EXPH 2014",null,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",22,"Waiting times for cataract surgery","measuring the waiting times for patients treated in a given period.\n",null,null,null,null,null,null,null,null,null,1,"Cataract surgery, waiting times from specialist assessment to treatment in days","c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",22,"Waiting times for knee replacement","measuring the waiting times for patients treated in a given period.\n",null,null,null,null,null,null,null,null,null,1,"Knee replacement, waiting times from specialist assessment to treatment","c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",22,"Waiting times for hip replacement",null,null,null,null,null,null,null,null,null,null,1,"Hip replacement, waiting times from specialist assessment to treatment","c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",22,"Waiting time for elective surgery","The median waiting times for elective surgery in public hospitals. Data are presented as a number of days.",null,null,null,null,null,null,null,null,null,1,null,"c","AIHW. (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",22,"Waiting time of 4 months or more for elective/nonemergency surgery (base: those needing elective surgery in past year)",null,null,null,null,null,null,null,null,null,null,1,null,"c","CWF Int. Comparison (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",22,"Major elective surgery <90 days","Coronary bypass/PTCA and hip/knee joint",null,null,null,"Survey commissioned by HCP from Patient View 2015. Interviews with healthcare officials, feedback from national agencies.",null,null,null,null,"2.3.",1,null,"c","EHCI 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",22,"Number of cases waiting for more than 120 days",null,null,"Access to health services",null,null,null,null,null,null,null,1,null,"c","Portugal HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0]
["E","World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",22,"Percent of surgeries completed within established target wait times",null,null,"Access to health services",null,null,null,null,null,null,null,1,"nA","c","Portugal HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",22,"Surgery within 90 Days","Percentage of patients who waited 90 days or less for surgery in specialist care",null,null,null,"Waiting Times in Health Care Database",null,null,null,null,35,1,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0]
["E","Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",22,"Waiting time, selected procedures","Waiting times in days for selected procedures (50th and 90th percentile)",null,null,null,null,null,null,null,null,null,1,null,"c","UK - Bevan et al. (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0]
["E","Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",22,"Reported waits for elective surgery",null,null,"timeliness of access to health care",null,"Commonwealth Fund. 2010 International Health Policy Survey in Eleven Countries.",null,null,null,null,null,1,null,"c","UK - Berry (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0]
["E","Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",23,"Rate of patients with colorectal tumour receiving chemotherapy whose treatment started within two months following surgery","Done and its further application is advised",null,"Oncology: Timeliness. The indicator for the analysis of timeliness proved to be appropriate to detect effects of the policy changes on timely delivery of services to colorectal cancer patients.",null,null,null,null,null,null,null,1,"This indicator aims to detect effects of the policy changes on timely delivery of services to colorectal cancer patients.","s","Hungary HSPA (2014)",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",24,"Medical records/test results did not reach doctor’s office in time for appointment, in past 2 years",null,null,"Efficiency",null,null,null,null,null,null,null,1,"Survey question. ","s","CWF Int. Comparison (2014)",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",25,"Numbers of people awaiting donor organs","The numbers refer to people actively awaiting a transplant, who have been approved by a transplantation centre and who are ready to receive the transplant.",null,"Getting better: Non-acute curative health care - Accessibility: timeliness",null,null,null,null,null,null,52,1,"The numbers refer to people actively awaiting a transplant, who have been approved by a transplantation centre and who are ready to receive the transplant.","s","Netherlands - van den Berg et al. (2015)",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
["E","Consolidated",26,"Waiting times for admission to public rehabilitation facility and to public long-term care facility",null,null,null,null,null,null,null,null,null,null,1,"Waiting times for admission to public rehabilitation facility\n‘The denominator is the total number of patients referred for rehabilitation in a year under review who are accepted for a period of rehabilitation at RHKG. The numerator is the total number of patients actually transferred for rehabilitation at RHKG during the year under review.\nThe median waiting time is from date of referral to date of transfer.\nExclusion criteria: deceased patients while waiting and discharged patients while waiting.’\nWaiting times for admission to public long-term care facility\n‘The denominator is the total number of patients applying for government long term care during the year under review. The numerator is the total number of patients admitted to government long term care within 18 months from the date of application.\nThe median waiting time is from date of application of long term care to date of admission.\nExclusion criteria: deceased patients while waiting and patients withdrawing their application’.","s","Consolidated",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0]
["E","Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",26,"Waiting times for admission to public rehabilitation facility and to public long-term care facility","Waiting times for admission to public rehabilitation facility\n‘The denominator is the total number of patients referred for rehabilitation in a year under review who are accepted for a period of rehabilitation at RHKG. The numerator is the total number of patients actually transferred for rehabilitation at RHKG during the year under review.\nThe median waiting time is from date of referral to date of transfer.\nExclusion criteria: deceased patients while waiting and discharged patients while waiting.’\nWaiting times for admission to public long-term care facility\n‘The denominator is the total number of patients applying for government long term care during the year under review. The numerator is the total number of patients admitted to government long term care within 18 months from the date of application.\nThe median waiting time is from date of application of long term care to date of admission.\nExclusion criteria: deceased patients while waiting and patients withdrawing their application’.","nA",null,null,null,null,null,null,null,23,1,null,"c","Malta - Grech et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",26,"Percentages of secondary care units with waiting times above Treek standards",null,null,"Getting better: Non-acute curative health care - Accessibility: timeliness",null,null,null,null,null,null,51,1,null,"c","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",26,"Numbers of people involuntarily on waiting lists for long-term care longer than the permissible waiting times",null,null,"Living with long-term illness or functional limitations - Accessibility (and availability)",null,null,null,null,null,null,75,1,null,"c","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
["E","Consolidated",27,"Waiting times for home/social care services",null,null,null,null,null,null,null,null,null,null,1,"Percentages of clients receiving home help services within one month of approval","s","Consolidated",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",27,"Percentages of clients receiving home help services within one month of approval",null,null,"Living with long-term illness or functional limitations - Accessibility (and availability)",null,null,null,null,null,null,77,1,null,"c","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",28,"Percentages of informal carers of people with dementia who receive timely psychosocial and practical support for their own needs",null,null,"Living with long-term illness or functional limitations - Accessibility (and availability)",null,null,null,null,null,null,78,1,"Informal carers taking part in the Informal Care Monitoring Study reported needing psychosocial and practical support for themselves.","s","Netherlands - van den Berg et al. (2015)",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",29,"Waiting times for terminal palliative care","The number of people waiting for palliative care (AWBZ VV-10 care) in excess of the Treek standard of 6 weeks is very low. Waiting times for palliative care provided by volunteers are short",null,"End-of-life care - Accessibility (and availability)",null,null,null,null,null,null,111,1,"The number of people waiting for i) institutional and/or ii) mobile palliative care in excess of a defined national standard of (6) x weeks. ","s","Netherlands - van den Berg et al. (2015)",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",29,"Number of consultation requests submitted to IKNL palliative care consultation teams",null,null,"End-of-life care - Accessibility (and availability): palliative care",null,null,null,null,null,null,110,1,null,"ms","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",29,"Relationships between standardized mortality rates compared with hospitalization rates","check definition",null,"Access to health care services: equity in utilization of health care services",null,null,null,null,null,null,null,1,"nA","e","Estonia HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",29,"Relationships between standardized mortality rates compared with GP contacts","check definition",null,"Access to health care services: equity in utilization of health care services",null,null,null,null,null,null,null,1,"nA","e","Estonia HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","Consolidated",30,"Percentage of dialysis done outside of hospital/centre",null,null,null,null,null,null,null,null,null,null,1,"Percentage of all Dialysis patients on peritoneal dialysis (PD) and hemodialysis (HD) in the home of patient. ","s","Consolidated",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",30,"% of dialysis done outside of clinic","% of all Dialysis patients on PD or HD in the home",null,null,null,"European Renal Association Annual Report 2013, www.ceapir.org",null,null,null,null,"4.7.",1,"% of all Dialysis patients on PD or HD in the home","c","EHCI 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A, D","Consolidated",31,"Employment in human health and social work activities",null,null,null,null,null,null,null,null,null,null,2,"Disaggregated by age, by educational attainment level, by NUTS regions. \nEmployment in health and social work, NACE rev 2 Q. Number of employees between age 15 and 64. ","s","Consolidated",3,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",31,"Number of jobs created in health care sector",null,null,"Health workforce",null,null,null,null,null,null,"nA",2,null,"c","ESIF for Health 2015",null,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","EC, Europe 2020 (2015) European Semester Thematic Fiche: Health and Health Systems, from http://ec.europa.eu/europe2020/pdf/themes/2015/health-and-health-systems.pdf",31,"Employment of workers holding a tertiary degree as a percentage of total employment in health and social work and in all sectors",null,null,null,null,null,null,null,null,null,"nA",2,"nA","c","EU Semester thematic fiche Health 2015 (DG-ECFIN)",null,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","EC, Europe 2020 (2015) European Semester Thematic Fiche: Health and Health Systems, from http://ec.europa.eu/europe2020/pdf/themes/2015/health-and-health-systems.pdf",31,"Average annual changes in jobs between 2008 (Q3) and 2014 (Q3) in human health and in all other sectors",null,null,null,null,null,null,null,null,null,"nA",2,"nA","c","EU Semester thematic fiche Health 2015 (DG-ECFIN)",null,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","Eurostat. (2016). Health Statistics and Labour Force Survey  Retrieved from http://ec.europa.eu/eurostat/web/health.   http://ec.europa.eu/eurostat/web/health, http://ec.europa.eu/eurostat/web/lfs/data",31,"Employment in human health and social work activities",null,null,null,null,null,null,null,null,null,null,2,"Disaggregated by age, by educational attainment level, by NUTS regions. \nEmployment in health and social work, NACE rev 2 Q. Number of employees between age 15 and 64. ","c","Eurostat",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",31,"Net growth in health workforce","The change over time in the full-time equivalent number of people employed in selected (medical practicioners, nurses and midwives) health workforce professions.",null,null,null,null,null,null,null,null,null,2,null,"c","AIHW. (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",31,"Numbers of volunteers that provide palliative care",null,null,"End-of-life care - Accessibility (and availability): palliative care",null,null,null,null,null,null,109,2,null,"e/ms","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",31,"Infrastructure staff (WTE)",null,null,null,null,null,null,null,null,null,null,2,null,"ms","UK - Bevan et al. (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A, B, C, D, E","Consolidated",32,"Practising physicians",null,null,null,null,null,null,null,null,null,null,2,"Practising physicians per 100,000 population by category (MD, dentists, pharmacists, physiotherapists, psychiatrists) and partly by age and sex\nPhysicians by specialty per 100 000 population (GP, general paediatricians, obstetricians and gynaecologists, psychiatrists, medical group of specialists, surgical group of specialists). ","s","Consolidated",13,2,0,1,8,0,0,0,0,0,0,0,1,0,1,0,0,4,0,0,0,6,0,1,0,0,0,0,3,1,0,0,0,0,1,0,0,1,0,1,0,0,0,0]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",32,"Practising doctors","The total number of practising physicians (medical doctors) per 100,000 inhabitants.","The total number of practising physicians (medical doctors) by 31 December of a given calendar year, per 100,000 inhabitants (end of year population). Practising physicians provide services directly to patients. Practising physicians include:\n• Persons who have completed studies in medicine at university level (granted by adequate diploma) and who are licensed to practice\n• Interns and resident physicians (with adequate diploma and providing services under\n• supervision of other medical doctors during their postgraduate internship or residency in a\n• health care facility)\n• Salaried and self-employed physicians delivering services irrespectively of the place of\n• service provision\n• Foreign physicians licensed to practice and actively practising in the country.\nFor a more detailed definition: see references (definitions on health care statistics (non-expenditure data), available in CIRCA).","Indicator widely used in assessments of accessibility and efficiency of health care services. It describes availability of staff for the whole country and the distribution of staff across the country. Time trends may\nhelp to identify e.g. staff shortages due to demographic developments such as migration.","Per 100,000 inhabitants","Eurostat","• Calendar year\n• Country\n• Region (according to ISARE recommendations; see data availability)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_rs_prs1&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_res_esms.htm","http://ec.europa.eu/health/indicators/docs/echi_63.pdf",63,2,"Practising physicians per 100,000 population by category (MD, dentists, pharmacists, physiotherapists) and partly by age and sex","c","ECHI",null,1]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",32,"European health indicator on other health professionals","The indicator on practising dentists gives the total number of practising dentists per 100,000 inhabitants.","nA",null,null,null,"working status: practising, professionally active or licensed to practice; ","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_rs_prs1&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_res_esms.htm",null,"63/64",2,"The indicator on practising dentists gives the total number of practising dentists per 100,000 inhabitants.","c","ECHI",null,1]
["A","Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",32,"Number of GPs per 100 000 inhabitants","Generalist medical practitioners (Eurostat: variable \"GEN\" in dataset \"hlth_rs_spec\") per 100 000 inhabitants.",null,null,null,null,null,null,null,null,18,2,null,"c","Eckfeldt et al. 2014 (DG-ECFIN)",null,0,null,1]
["A","ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",32,"Practicing physicians","Number per 100 000 inhabitants",null,"Health workforce",null,null,null,null,null,null,"nA",2,null,"c","ESIF for Health 2015",null,0,null,null,1]
["A","ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",32,"Practicing dentists","Number per 100 000 inhabitants",null,"Health workforce",null,null,null,null,null,null,"nA",2,null,"c","ESIF for Health 2015",null,0,null,null,1]
["A","ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",32,"Average age of general practitioners",null,null,"Health workforce",null,null,null,null,null,null,"nA",2,null,"c","ESIF for Health 2015",null,0,null,null,1]
["A","ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",32,"Percentage of physicians aged 35 years and younger",null,null,"Health workforce",null,null,null,null,null,null,"nA",2,null,"c","ESIF for Health 2015",null,0,null,null,1]
["A","ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",32,"Percentage of physicians aged 55 years and older",null,null,"Health workforce",null,null,null,null,null,null,"nA",2,null,"c","ESIF for Health 2015",null,0,null,null,1]
["A","ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",32,"Number of inhabitants per one general practitioner, by region",null,null,"Access to primary care",null,null,null,null,null,null,"nA",2,null,"c","ESIF for Health 2015",null,0,null,null,1]
["A","ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",32,"Number of inhabitant per one dentist, by region",null,null,"Access to primary care",null,null,null,null,null,null,"nA",2,"nA","c","ESIF for Health 2015",null,0,null,null,1]
["A","ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",32,"Number of women per one gynaecologist, by region",null,null,"Access to primary care",null,null,null,null,null,null,"nA",2,"nA","c","ESIF for Health 2015",null,0,null,null,1]
["A","EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",32,"Practising physicians or doctors","Total number of practising physicians (medical doctors) per 100 000 inhabitants.",null,null,null,"Eurostat (Joint questionnaire with OECD/WHO)",null,null,null,null,"R-8",2,null,"c","JAF Health (DG EMPL)",null,0,0,0,0,0,0,0,0,0,0,0,1]
["A","Medeiros J & Schwierz C (2015) Efficiency estimates of health care systems - European Commission Economic Papers (Vol. 549). Brussels: European Economy.",32,"Number of physicians per 100 000 inhabitants","Practicing physians per 100 000 inhabitants.",null,null,null,null,null,null,null,null,"nA",2,null,"c","Medeiros & Schwierz 2015 (DG-ECFIN)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",32,"Practising doctors per 1 000 population","practising doctors, defined as the number of doctors who are providing care directly to patients. In many countries, the numbers include interns and residents (doctors in training). The numbers are based on head counts. ",null,null,null,null,null,null,null,null,null,2,null,"c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",32,"Share of doctors aged 55 years and over","practising doctors, defined as the number of doctors who are providing care directly to patients. In many countries, the numbers include interns and residents (doctors in training). The numbers are based on head counts. ",null,null,null,null,null,null,null,null,null,2,"practising doctors, defined as the number of doctors who are providing care directly to patients. In many countries, the numbers include interns and residents (doctors in training). The numbers are based on head counts. Share of doctors aged 55 years and over","c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",32,"Share of female doctors",null,null,null,null,null,null,null,null,null,null,2,null,"c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",32,"Practising pharmacists","Practicing pharmacists are defined as the number of phar- macists who are licensed to practice and provide direct services to clients/patients. They can be either salaried or self-employed, and work in community pharmacies, hospitals and other settings. Assistant pharmacists and the other employees of pharmacies are normally excluded.\nCommunity pharmacies are premises which in accordance to the local legal provisions and definitions may operate as a facility in the provision of pharmacy services in the community settings. The number of community phar- macies reported are the number of premises where dispensing of medicines happened under the supervision of a pharmacist.",null,null,null,null,null,null,null,null,null,2,"number of pharmacists who are licensed to practice and provide direct services to clients/patients 100 000 population","c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["C","World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",32,"Physicians per 100 000 population",null,null,null,null,null,null,null,null,null,42,2,null,"c","WHO Core Health 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["C","World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",32,"Dentists per 100 000 population",null,null,null,null,null,null,null,null,null,45,2,null,"c","WHO Core Health 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["C","World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",32,"Physiotherapists per 100 000 population",null,null,null,null,null,null,null,null,null,47,2,null,"c","WHO Core Health 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["C","World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",32,"Physicians by age and sex (%)",null,null,null,null,null,null,null,null,null,"50-51",2,null,"c","WHO Core Health 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["C","World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",32,"Physicians by specialty per 100 000 population (GP, general paediatricians, obstetricians and gynaecologists, psychiatrists, medical group of specialists, surgical group of specialists)",null,null,null,null,null,null,null,null,null,"52-57",2,null,"c","WHO Core Health 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["C","World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",32,"Pharmacists per 100 000 population",null,null,null,null,null,null,null,null,null,46,2,null,"c","WHO Core Health 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",32,"Family Medicine Physicians per 100,000 Population",null,null,"Regional Characteristics and Inputs",null,"·      Canadian Institute for Health Information",null,null,null,null,null,2,null,"c","CIHI In Depth (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",32,"Practising physicians (/1000 population)",null,null,null,null,null,null,null,null,null,"A-5",2,null,"c","Belgium - Vrijens et al. (2015)",null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",32,"Physicians aged 55+ (% of those practising)",null,null,null,null,null,null,null,null,null,"S-7",2,null,"c","Belgium - Vrijens et al. (2015)",null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",32,"Practising psychiatrists (/1000 pop)",null,null,null,null,null,null,null,null,null,"MH-2",2,null,"c","Belgium - Vrijens et al. (2015)",null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
["E","WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",32,"Physicians per 100 hosptal beds",null,null,"Efficiency and effectiveness of the health system: technical efficiency",null,null,null,null,null,null,null,2,null,"c","Estonia HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",32,"Physicians per 1,000 population",null,null,"Non-financial sustainability",null,null,null,null,null,null,null,2,null,"c","Portugal HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",32,"Hospital doctors (WTE)","Medical and dental professionals (WTE), per 1,000 population",null,null,null,null,null,null,null,null,null,2,null,"c","UK - Bevan et al. (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",32,"Practising doctors per 1 000 population",null,null,null,null,"OECD",null,null,null,null,null,2,null,"c","UK - Berry (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A, B, E","Consolidated",33,"Share of GPs in all physicians",null,null,null,null,null,null,null,null,null,null,2,"Share of generalist medical practitioners in all physicians.","s","Consolidated",7,0,0,1,3,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,2,0,0,0,2,0,0,0,0,0,0]
["A","Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",33,"Share of GPs in all physicians","Share of generalist medical practitioners in all physicians.",null,null,null,null,null,null,null,null,19,2,"Share of generalist medical practitioners in all physicians.","c","Eckfeldt et al. 2014 (DG-ECFIN)",null,0,null,1]
["A","ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",33,"Percentage of ambulatory physicians on total number of physicians",null,null,"Primary and ambulatory care",null,null,null,null,null,null,"nA",2,null,"c","ESIF for Health 2015",null,0,null,null,1]
["A","ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",33,"Percentage of general practitioners in outpatient care",null,null,"Primary and ambulatory care",null,null,null,null,null,null,"nA",2,"nA","c","ESIF for Health 2015",null,0,null,null,1]
["A","ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",33,"Percentage of ambulatory specialists in outpatient care",null,null,"Primary and ambulatory care",null,null,null,null,null,null,"nA",2,"nA","e/ms","ESIF for Health 2015",null,0,null,null,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",33,"Generalists and specialists as a share of all doctors","practising doctors, defined as the number of doctors who are providing care directly to patients. In many countries, the numbers include interns and residents (doctors in training). The numbers are based on head counts. ",null,null,null,null,null,null,null,null,null,2,null,"c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",33,"Mean age of practising GPs (in FTE, years)",null,null,null,null,null,null,null,null,null,"S-6",2,null,"c","Belgium - Vrijens et al. (2015)",null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
["E","WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",33,"GPs and specialist physicians per 100.000 population",null,null,"Efficiency and effectiveness of the health system: allocative efficiency",null,null,null,null,null,null,null,2,null,"c","Estonia HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",33,"Numbers of GPs with special interest in palliative care",null,null,"End-of-life care - Accessibility (and availability): palliative care",null,null,null,null,null,null,108,2,"nA","e/ms","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",33,"Number of SCEN doctors",null,null,"End-of-life care - Accessibility (and availability): end-of-life decisions",null,null,null,null,null,null,112,2,null,"c","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",33,"General practitioners (GPs) (wholetime equivalent, WTE)","GPs (WTE) per 1,000 population",null,null,null,null,null,null,null,null,null,2,null,"c","UK - Bevan et al. (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",33,"GPs (headcount)","GPs (headcount) per 1,000 population",null,null,null,null,null,null,null,null,null,2,null,"c","UK - Bevan et al. (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","Consolidated",34,"Shortage of doctors (physicians and dentists): vacancy rate","a) Vacancy rate, b) Percentage of care not covered",null,"Health workforce",null,null,null,null,null,null,"nA",2,"A job vacancy is defined as a newly created, unoccupied, or about to become vacant, post. The job vacancy rate (JVR) measures the proportion of total posts that are vacant expressed as a percentage as follows:\nJVR = number of job vacancies * 100 / (number of occupied posts + number of job vacancies).\nhttp://ec.europa.eu/eurostat/en/web/products-datasets/-/TEILM310","s","Consolidated",1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",34,"Shortage of physicians (nationwide, regional): vacancy rate","a) Vacancy rate, b) Percentage of care not covered",null,"Health workforce",null,null,null,null,null,null,"nA",2,"nA","c","ESIF for Health 2015",null,0,null,null,1]
["A","Consolidated",35,"Shortage of doctors (physicians and dentists): percentage of care not covered","a) Vacancy rate, b) Percentage of care not covered",null,"Health workforce",null,null,null,null,null,null,"nA",2,"nA","s","Consolidated",1,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",35,"Shortage of physicians (nationwide, regional): percentage of care not covered","a) Vacancy rate, b) Percentage of care not covered",null,"Health workforce",null,null,null,null,null,null,"nA",2,"nA","c","ESIF for Health 2015",null,0,null,null,1]
["A","ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",35,"Shortage of dentists","Vacancy rate\nPercentage of care not covered",null,"Health workforce",null,null,null,null,null,null,"nA",2,"a) Vacancy rate, b) Percentage of care not covered","c","ESIF for Health 2015",null,0,null,null,1]
["A, B, C, E","Consolidated",36,"Medical graduates",null,null,null,null,null,null,null,null,null,null,2,"Medical graduates are defined as the number of students who have graduated from medical schools in a given year. ","s","Consolidated",4,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",36,"Number of jobs created in health care sector for qualified workforce holding post-secondary degree",null,null,"Health workforce",null,null,null,null,null,null,"nA",2,null,"c","ESIF for Health 2015",null,0,null,null,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",36,"Medical graduates","Medical graduates are defined as the number of students who have graduated from medical schools in a given year. ",null,null,null,null,null,null,null,null,null,2,"Medical graduates are defined as the number of students who have graduated from medical schools in a given year. ","c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["C","World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",36,"Physician Graduates per 100 000 population",null,null,null,null,null,null,null,null,null,48,2,null,"c","WHO Core Health 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",36,"Medical graduates (/100 000 population)",null,null,null,null,null,null,null,null,null,"S-4",2,null,"c","Belgium - Vrijens et al. (2015)",null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",36,"Medical graduates becoming GP (% of those with medical specialisation)",null,null,null,null,null,null,null,null,null,"S-5",2,null,"c","Belgium - Vrijens et al. (2015)",null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",37,"Remuneration of doctors (general practitioners and specialists), ratio to average wage","The remuneration of doctors refers to average gross annual income, including social security contributions and income taxes payable by the employee. It should normally exclude practice expenses for self-employed doctors.",null,null,null,null,null,null,null,null,null,2,"The remuneration of doctors refers to average gross annual income, including social security contributions and income taxes payable by the employee. It should normally exclude practice expenses for self-employed doctors.","s","Health at a Glance 2015",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",37,"Growth in the remuneration of GPs and specialists",null,null,null,null,null,null,null,null,null,null,2,"Average annual growth rate (%, in nominal terms)","c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A, B, C, E","Consolidated",38,"Practising qualified nurses and midwives",null,null,null,null,null,null,null,null,null,null,2,"Practising qualified nurses and midwives, per 100,000 population","s","Consolidated",10,1,0,0,2,0,0,0,0,0,0,0,1,0,1,0,0,1,0,0,0,2,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",38,"Practising nurses","The total number of practising nursing and caring professionals per 100,000 inhabitants.","The total number of practising nursing and caring professionals by 31 December of a given calendar year, per 100,000 inhabitants (end of year population). Practising nurses provide services directly to patients. Practising nurses include:\n• Professional nurses\n• Associate professional nurses\n• Foreign nurses licensed to practice and actively practising in the country.\nFor more detailed definitions: see references (definitions and data collection specifications on health care statistics (non-expenditure data), available in CIRCA).","Indicator widely used in assessments of accessibility and efficiency of health care services. It describes availability of staff for the whole country and the distribution of staff across the country. Time trends may\nhelp to identify e.g. staff shortages due to demographic developments such as migration.","Per 100,000 inhabitants","Eurostat","• Calendar year\n• Country\n• Region (according to ISARE recommendations; see data availability)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_rs_prsns&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_res_esms.htm","http://ec.europa.eu/health/indicators/docs/echi_64.pdf",64,2,"Practising qualified nurses and midwives, per 100,000 population","c","ECHI",null,1]
["A","ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",38,"Practicing nurses",null,null,"Health workforce",null,null,null,null,null,null,"nA",2,null,"c","ESIF for Health 2015",null,0,null,null,1]
["A","ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",38,"Percentage of nurses aged 35 years and older",null,null,"Health workforce",null,null,null,null,null,null,"nA",2,null,"c","ESIF for Health 2015",null,0,null,null,1]
["A","EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",38,"Practising and professionally active nurses and midwives","Total number of professional nurses and midwives per 100 000 inhabitants.",null,null,null,"Eurostat (Joint questionnaire with OECD/WHO)",null,null,null,null,"R-9",2,null,"c","JAF Health (DG EMPL)",null,0,0,0,0,0,0,0,0,0,0,0,1]
["A","Medeiros J & Schwierz C (2015) Efficiency estimates of health care systems - European Commission Economic Papers (Vol. 549). Brussels: European Economy.",38,"Number of nurses per 100 000 inhabitants","Practicing nursing and caring professionals including midwives per 100 000 inhabitants",null,null,null,null,null,null,null,null,"nA",2,null,"c","Medeiros & Schwierz 2015 (DG-ECFIN)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",38,"Practising nurses per 1 000 population","The number of nurses includes those employed in public and private settings providing services directly to patients (“practising”) and in some cases also those working as managers, educators or researchers.",null,null,null,null,null,null,null,null,null,2,null,"c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["C","World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",38,"Nurses per 100 000 population",null,null,null,null,null,null,null,null,null,43,2,null,"c","WHO Core Health 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["C","World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",38,"Midwives per 100 000 population",null,null,null,null,null,null,null,null,null,44,2,null,"c","WHO Core Health 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",38,"Practising nurses (/1000 population)",null,null,null,null,null,null,null,null,null,"A-6",2,null,"c","Belgium - Vrijens et al. (2015)",null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",38,"Nurses aged 50+ (% of those practising)",null,null,null,null,null,null,null,null,null,"S-10",2,null,"c","Belgium - Vrijens et al. (2015)",null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",38,"Patient-to-nurse ratio",null,null,null,null,null,null,null,null,null,"A-8",2,null,"c","Belgium - Vrijens et al. (2015)",null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
["E","World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",38,"Nurses per 1,000 population",null,null,"Non-financial sustainability",null,null,null,null,null,null,null,2,null,"c","Portugal HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",38,"Nurses (WTE)","Qualified nursing, midwifery and health visiting staff (WTE) per 1,000 population",null,null,null,null,null,null,null,null,null,2,null,"c","UK - Bevan et al. (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",38,"Practising nurses per 1 000 population",null,null,null,null,"OECD",null,null,null,null,null,2,null,"c","UK - Berry (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["B, C, E","Consolidated",39,"Nursing graduates",null,null,null,null,null,null,null,null,null,null,2,"Nursing graduates refer to the number of students who have obtained a recognised qualification required to become a licensed or registered nurse. They include graduates from both higher level and lower level nursing programmes. They exclude graduates from Masters or PhD degrees in nursing to avoid double-counting nurses acquiring further qualifications.","s","Consolidated",3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",39,"Nursing graduates","Nursing graduates refer to the number of students who have obtained a recognised qualification required to become a licensed or registered nurse. They include graduates from both higher level and lower level nursing programmes. They exclude graduates from Masters or PhD degrees in nursing to avoid double-counting nurses acquiring further qualifications.",null,null,null,null,null,null,null,null,null,2,"Nursing graduates refer to the number of students who have obtained a recognised qualification required to become a licensed or registered nurse. They include graduates from both higher level and lower level nursing programmes. They exclude graduates from Masters or PhD degrees in nursing to avoid double-counting nurses acquiring further qualifications.","c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["C","World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",39,"Nurses Graduates per 100 000 population",null,null,null,null,null,null,null,null,null,49,2,null,"c","WHO Core Health 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",39,"Nursing graduates (/100 000 population)",null,null,null,null,null,null,null,null,null,"S-8",2,null,"c","Belgium - Vrijens et al. (2015)",null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",39,"Nursing students following the bachelor track (% of new graduates)",null,null,null,null,null,null,null,null,null,"S-9",2,null,"c","Belgium - Vrijens et al. (2015)",null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",40,"Remuneration of nurses","The remuneration of nurses refers to average gross annual income, including social security contribu- tions and income taxes payable by the employee. It should normally include all extra formal payments, such as bonuses and payments for night shifts and overtime.",null,null,null,null,null,null,null,null,null,2,"The remuneration of nurses refers to average gross annual income, including social security contribu- tions and income taxes payable by the employee. It should normally include all extra formal payments, such as bonuses and payments for night shifts and overtime.","s","Health at a Glance 2015",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A, B, E","Consolidated",41,"Ratio of nurses and midwives to physicians",null,null,null,null,null,null,null,null,null,null,2,"Ratio of practicing nursing and caring professionals including midwives (Eurostat: hlth_rs_prsns) to the total number of practicing physicians","s","Consolidated",5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0]
["A","Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",41,"Ratio of nurses and midwives to physicians","Ratio of practicing nursing and caring professionals including midwives (Eurostat: hlth_rs_prsns) to the total number of practicing physicians",null,null,null,null,null,null,null,null,20,2,"Ratio of practicing nursing and caring professionals including midwives (Eurostat: hlth_rs_prsns) to the total number of practicing physicians","c","Eckfeldt et al. 2014 (DG-ECFIN)",null,0,null,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",41,"Ratio of nurses to physicians",null,null,null,null,null,null,null,null,null,null,2,null,"c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",41,"Ratio of nurses to physicians",null,null,"Efficiency and effectiveness of the health system: allocative efficiency",null,null,null,null,null,null,null,2,null,"c","Estonia HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",41,"Numbers and ratios of all practicing doctors, GPs, specialists, and nurses & midwives per 100,000 inhabitants (GPs : specialists, nurses : physicians)","All practicing doctors: The total number of practicing physicians (medical doctors) per 100,000 inhabitants. \nPracticing nurses: The total number of practising nursing and caring professionals by 31 December of a given calendar year, per 100,000 inhabitants (end of year population). Practicing nurses provide services directly to patients. Practising nurses include professional nurses, associate professional nurses and foreign nurses licensed to practice and actively practicing in the country. ","All practicing doctors: The total number of practicing physicians (medical doctors) by 31 December of a given calendar year, per 100,000 inhabitants (end of year population). Practicing physicians provide services directly to patients. \nPracticing nurses: The total number of practicing nursing and caring professionals by 31 December of a given calendar year, per 100,000 inhabitants (end of year population). Practicing nursing and caring professionals provide services directly to patients. Nursing and caring professionals include midwives, qualified nurses, associate nurses and caring personnel (e.g. nursing aids, assistants). A nurse is a person who has completed a programme of basic nursing education and is qualified and authorised in his/her country to practice nursing in all settings. ",null,null,null,null,null,null,null,41,2,null,"c","Malta - Grech et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",41,"Ratio of nurses to physicians working in hospitals",null,null,"Non-financial sustainability",null,null,null,null,null,null,null,2,null,"c","Portugal HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A, E","Consolidated",42,"Shortage of nurses: vacancy rate",null,null,null,null,null,null,null,null,null,null,2,"A job vacancy is defined as a newly created, unoccupied, or about to become vacant, post. The job vacancy rate (JVR) measures the proportion of total posts that are vacant expressed as a percentage as follows:\nJVR = number of job vacancies * 100 / (number of occupied posts + number of job vacancies).\nhttp://ec.europa.eu/eurostat/en/web/products-datasets/-/TEILM310","s","Consolidated",2,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",42,"Shortage of nurses: vacancy rate","Vacancy rate\nPercentage of care not covered",null,"Health workforce",null,null,null,null,null,null,"nA",2,"Number of nurse vacancies","c","ESIF for Health 2015",null,0,null,null,1]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",42,"Number of nurse vacancies",null,null,null,null,null,null,null,null,null,"A-7",2,null,"c","Belgium - Vrijens et al. (2015)",null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
["A","ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",43,"Shortage of nurses: Percentage of care not covered","Vacancy rate\nPercentage of care not covered",null,"Health workforce",null,null,null,null,null,null,"nA",2,"nA","s","ESIF for Health 2015",1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A, B","Consolidated",44,"Share of foreign-trained doctors",null,null,null,null,null,null,null,null,null,null,2,"The data relate to foreign-trained doctors working in OECD countries measured in terms of total stocks. The OECD health database also includes data on the annual flows for most of the countries shown here, as well as by country of origin. ","s","Consolidated",2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",44,"Mobility of professionals","To be developed, definition covering both inflow and outflow aspects, e.g.:\n(1) The number and percentage of health care professionals emigrating\n(2) The number and percentage of health care professionals immigrating.","Still a lot of methodological and data availability issues to be resolved, as shown by the PROMeTHEUS project","The EU has promoted the freedom of movement of workers, the freedom of establishment and the freedom\nto provide services as the cornerstones of the EU structure. Therefore, professional mobility has been high on the European political agenda in recent years. Health professionals are key players in the provision of\nhealth services, but in the health sector, occupational mobility should never be at the expense of quality and safety of care in any Member State. Thus, the role of mobility of health professionals should be adequately\naddressed and evaluated, from a (public) health perspective.",null,"n.a.","nA","nA","nA","nA",65,2,"To be developed, definition covering both inflow and outflow aspects, e.g.:\n(1) The number and percentage of health care professionals emigrating\n(2) The number and percentage of health care professionals immigrating.","c","ECHI",null,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",44,"Share of foreign-trained doctors","The data relate to foreign-trained doctors working in OECD countries measured in terms of total stocks. The OECD health database also includes data on the annual flows for most of the countries shown here, as well as by country of origin. ",null,null,null,null,null,null,null,null,null,2,"The data relate to foreign-trained doctors working in OECD countries measured in terms of total stocks. The OECD health database also includes data on the annual flows for most of the countries shown here, as well as by country of origin. ","c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",45,"International migration of nurses","The data relate to foreign-trained nurses working in OECD countries measured in terms of total stocks. The OECD health database also includes data on the annual flows for most of the countries shown here, as well as by country of origin. The data sources in most countries are professional registries or other adminis- trative sources.",null,null,null,null,null,null,null,null,null,2,"The data relate to foreign-trained nurses working in OECD countries measured in terms of total stocks. The OECD health database also includes data on the annual flows for most of the countries shown here, as well as by country of origin. The data sources in most countries are professional registries or other adminis- trative sources.","s","Health at a Glance 2015",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A, B, D, E","Consolidated",46,"Hospital beds",null,null,null,null,null,null,null,null,null,null,3,"The total number of hospital beds per 100,000 inhabitants. (total number, acute care, psychiatric care, long-term care)","s","Consolidated",9,1,0,1,4,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",46,"Hospital beds","The total number of hospital beds per 100,000 inhabitants. (total number, acute care, psychiatric care, long-term care)","The total number of hospital beds in a given calendar year by 31 December, per 100,000 inhabitants (end of year population). Total hospital beds are all hospital beds which are regularly maintained and staffed\nand immediately available for the care of admitted patients. Both occupied and unoccupied beds in general hospitals, mental health and substance abuse hospitals and other specialty hospitals are included. Definitions applied in the calculation of this indicator are in line with the ICHA-HP classification of providers of health care of the System of Health Accounts (see references).","Data on health care resources form a major element of public health information as they describe the capacities available for different types of health care provision. The quantity and quality of health care services provided and the division of work established between the different institutions are a subject of\nongoing debate in all countries. Sustainability – continuously providing the necessary monetary and personal resources needed – and meeting the challenges of ageing societies are the primary perspectives used when analysing and using these data.",null,"Eurostat","• Calendar year\n• Country\n• Region (according to ISARE recommendations; see data availability)\n• Type of facility; curative care beds in hospitals, psychiatric care beds in hospitals, long-term care beds (excluding psychiatric) in hospitals\n• Health care sector; public, private (see data availability)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_rs_bds&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_res_esms.htm","http://ec.europa.eu/health/indicators/docs/echi_62.pdf",62,3,"The total number of hospital beds per 100,000 inhabitants. (total number, acute care, psychiatric care, long-term care)","c","ECHI",null,1]
["A","Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",46,"Acute hospital beds per 1 000 pop","Curative (Eurostat: HBED_CUR) care beds in hospitals (HP.1), excluding psychiatric care beds in hospitals (Eurostat: HBED_PSY), long-term care beds ( HBED_LT), and other beds(HBED_OTH), measured per 1 000 inhabitants.",null,null,null,null,null,null,null,null,12,3,null,"c","Eckfeldt et al. 2014 (DG-ECFIN)",null,0,null,1]
["A","ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",46,"Hospital beds per 100 000 inhabitants",null,null,"Hospital care",null,null,null,null,null,null,"nA",3,null,"c","ESIF for Health 2015",null,0,null,null,1]
["A","ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",46,"Acute care hospital beds per 100 000 inhabitants",null,null,"Hospital care capacities",null,null,null,null,null,null,"nA",3,null,"c","ESIF for Health 2015",null,0,null,null,1]
["A","ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",46,"Psychiatric hospital beds per 100 000 inhabitants",null,null,"Hospital care capacities",null,null,null,null,null,null,"nA",3,null,"c","ESIF for Health 2015",null,0,null,null,1]
["A","ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",46,"Long-term hospital beds per 100 000 inhabitants",null,null,"Hospital care capacities",null,null,null,null,null,null,"nA",3,null,"c","ESIF for Health 2015",null,0,null,null,1]
["A","Medeiros J & Schwierz C (2015) Efficiency estimates of health care systems - European Commission Economic Papers (Vol. 549). Brussels: European Economy.",46,"Hospital beds per 1 000 pop","Curative, psychiatric, long-term care and other hospital beds  per 1 000 inhabitants.",null,null,null,null,null,null,null,null,"nA",3,null,"c","Medeiros & Schwierz 2015 (DG-ECFIN)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",46,"Hospital beds per 1 000 population","Hospital beds are defined as all beds that are regularly maintained and staffed and are immediately available for use. They include beds in general hospitals, mental health hospitals, and other specialty hospitals. Beds in residential long-term care facilities are excluded ",null,null,null,null,null,null,null,null,null,3,null,"c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",46,"Hospital beds by function of health care",null,null,null,null,null,null,null,null,null,null,3,"curative care beds, psychiatric care beds, long-term care beds, other hospital beds","c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",46,"Number of Acute Care Beds",null,null,"Facility Characteristics",null,"·      Canadian Institute for Health Information",null,null,null,null,null,3,null,"c","CIHI In Depth (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",46,"Type of Hospital",null,null,"Facility Characteristics",null,"·      Canadian Institute for Health Information",null,null,null,null,null,3,null,"c","CIHI In Depth (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",46,"Hospital beds per 1.000.000 population",null,null,"Efficiency and effectiveness of the health system: technical efficiency",null,null,null,null,null,null,null,3,null,"c","Estonia HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",46,"Number of hospital beds (acute, palliative, rehabilitation, Long-term care, dementia) per 100,000 population","Number of hospital beds per 100,000 inhabitants","The total number of hospital beds in a given calendar year by 31 December divided by the end of year population expressed per 100,000 inhabitants. Total hospital beds are all hospital beds which are regularly maintained and staffed and immediately available for the care of admitted patients. Both occupied and unoccupied beds in general hospitals, mental health and substance abuse hospitals and other specialty hospitals are included",null,null,null,null,null,null,null,20,3,null,"c","Malta - Grech et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",46,"Hospital beds per 1 000 population",null,null,null,null,"OECD",null,null,null,null,null,3,null,"c","UK - Berry (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["B, D","Consolidated",47,"Long-term care beds in institutions and hospitals",null,null,null,null,null,null,null,null,null,null,3,"Number of nursing home and elderly care beds per 100 000 population 65+","s","Consolidated",3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",47,"Long-term care beds in institutions and hospitals",null,null,null,null,null,null,null,null,null,null,3,"Per 1 000 population aged 65 and over","c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",47,"Trends in long-term care beds in institutions and in hospitals",null,null,null,null,null,null,null,null,null,null,3,"Average annual change in beds per 1 000 population aged 65 and over","c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",47,"Long-Term Care Facility Size",null,null,"Facility Characteristics",null,"·      Canadian Institute for Health Information",null,null,null,null,null,3,null,"c","CIHI In Depth (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",47,"Long-Term Care Facility Location",null,null,"Facility Characteristics",null,"·      Canadian Institute for Health Information",null,null,null,null,null,3,null,"c","CIHI In Depth (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",47,"Long term care for the elderly: # of nursing home and elderly care beds per 100 000 population 65+","# of nursing home and elderly care beds per 100 000 population 65+",null,null,null,"WHO HfA database, September 2015",null,null,null,null,"4.6.",3,null,"c","EHCI 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",48,"Numbers of palliative care facilities",null,null,"End-of-life care - Accessibility (and availability): palliative care",null,null,null,null,null,null,107,3,"nA","s","Netherlands - van den Berg et al. (2015)",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",49,"Number of high-care hospices with a quality accreditation",null,null,"End-of-life care - Quality: palliative care",null,null,null,null,null,null,117,3,"nA","s","Netherlands - van den Berg et al. (2015)",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
["A, B, D, E","Consolidated",50,"Medical technologies (CT/MRI)",null,null,null,null,null,null,null,null,null,null,3,"Number of CT/MRI per 100,000 by provider (hopsital, ambulatory health care)","s","Consolidated",6,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,2,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,2,0,0,0,0,0,0,0,0,0]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",50,"Medical technologies (CT/MRI)","1) Number of Computer tomography scanners (CT units) per 100,000 inhabitants.\n2) Number of Magnetic resonance imaging units (MRI units) per 100,000 inhabitants.","1) The total number of computer tomography scanners (CT units) in hospitals and ambulatory sector registered by 31 December in a given calendar year, per 100,000 inhabitants (end of year population).\n2) The total number of magnetic resonance imaging units (MRI units) in hospitals and ambulatory sector by 31 December in a given calendar year, per 100,000 inhabitants (end of year population).","The availability of modern medical equipments is an indicator for the delivery of up-to-date health care services. There is no general recommendation which per population ratio for the above listed medical\ntechnologies is regarded optimal. However, a high per population ratio may indicate over treatment (overprovision), e.g. the diagnostic measures are applied without indication-based requirement. Due to the high costs of acquisition and operation of these  techniques a careful, indication-based use is regarded essential.","Per 100,000 inhabitants","Eurostat","• Calendar year\n• Country\n• Region (according to ISARE recommendations; see data availability)\n• Provider (hospital, ambulatory sector),\n• Sector (public, not-for-profit and private hospitals)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_rs_equip&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_res_esms.htm","http://ec.europa.eu/health/indicators/docs/echi_66.pdf",66,3,"Number of CT/MRI per 100,000 by provider (hopsital, ambulatory health care)","c","ECHI",null,1]
["A","EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",50,"MRI units","Number of magnetic resonance imaging units provided by hospitals and ambulatory health care per 100 000 inhabitants.",null,null,null,"Eurostat (Joint questionnaire with OECD/WHO)",null,null,null,null,"R-10",3,null,"c","JAF Health (DG EMPL)",null,0,0,0,0,0,0,0,0,0,0,0,1]
["A","EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",50,"CTS units","Number of computer tomography scanners provided by hospitals and ambulatory health care per 100 000 inhabitants.",null,null,null,"Eurostat (Joint questionnaire with OECD/WHO)",null,null,null,null,"R-11",3,null,"c","JAF Health (DG EMPL)",null,0,0,0,0,0,0,0,0,0,0,0,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",50,"MRI units per capita","The data in most countries cover MRI units and CT scanners installed both in hospitals and the ambula- tory sector, but the coverage is more limited in some countries. \nData for most countries marked with an * do not include MRI units and CT scanners installed outside hospitals, leading to an under-estimation. In Australia and Hungary, the data only include MRI units and CT scanners eligible for public reimbursement, also leading to an under-estimation.",null,null,null,null,null,null,null,null,null,3,"Per million population","c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",50,"CT scanners per capita","The data in most countries cover MRI units and CT scanners installed both in hospitals and the ambula- tory sector, but the coverage is more limited in some countries. \nData for most countries marked with an * do not include MRI units and CT scanners installed outside hospitals, leading to an under-estimation. In Australia and Hungary, the data only include MRI units and CT scanners eligible for public reimbursement, also leading to an under-estimation.",null,null,null,null,null,null,null,null,null,3,"Per million population","c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",50,"Access to diagnostics","nA",null,"‘Person centred care’",null,null,null,null,null,null,"3.5.",3,null,"c","MoH New Zealand 2016",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",50,"Availability of diagnostic and therapeutic infrastructure (MRI, CT etc)","1) Number of Computer tomography scanners (CT units) per 100,000 inhabitants.\n2) Number of Magnetic resonance imaging units (MRI units) per 100,000 inhabitants","1) The total number of computer tomography scanners (CT units) in hospitals and ambulatory sector registered by 31 December in a given calendar year, per 100,000 inhabitants (end of year population).\n2) The total number of magnetic resonance imaging units (MRI units) in hospitals and ambulatory sector by 31 December in a given calendar year, per 100,000 inhabitants (end of year population).",null,null,null,null,null,null,null,24,3,null,"c","Malta - Grech et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",50,"Magnetic resonance imaging units per million population",null,null,"Non-financial sustainability",null,null,null,null,null,null,null,3,null,"c","Portugal HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",50,"Computed tomography units per million population",null,null,"Non-financial sustainability",null,null,null,null,null,null,null,3,null,"c","Portugal HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",51,"MRI/CT exams","Data are collected for the total number of exams and for the breakdown between hospitals and\nambulatory care providers.\nAn exam is defined as a medical imaging session to study one (or more than one) body part that\nyields one or more views for diagnostic purposes.\nData are collected for Computed Tomography (CT) exams, Magnetic Resonance Imaging (MRI)\nexams, and Positron Emission Tomography (PET) exams.\na) Computed Tomography (CT): CT or CAT scanner is an x-ray machine which combines many\nx-ray images with the aid of a computer to generate cross-sectional views and, if needed,\nthree-dimensional images of the internal organs and structures of the body.\nb) Magnetic Resonance Imaging (MRI): MRI is an imaging technique designed to visualise\ninternal structures of the body using magnetic and electromagnetic fields which induce a\nresonance effect of hydrogen atoms. The electromagnetic emission created by these atoms is\nregistered and processed by a dedicated computer to produce the images of the body\nstructures.\nc) Positron Emission Tomography (PET): PET is a highly specialised imaging technique using\nshort-lived radioactive substances. This technique produces three dimensional images which\nare used mainly for the assessment of cancer spread in a patient's body.",null,null,null,null,null,null,null,null,null,3,"Number of diagnostic exams per 1 000 population","s","Health at a Glance 2015",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",null,"Percentage of schools with a health-team",null,null,null,null,null,null,null,null,null,null,3,"nA","ms","Belgium - Vrijens et al. (2015)",null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
["A, B, C, D, E","Consolidated",52,"Hospital utilization",null,null,null,null,null,null,null,null,null,null,4,"Total, disaggregated by selected diagnoses. \nHospital in-patient discharges / age-standardized rate of hospitalization / Volume of admissions, selected diagnoses: \nThe number of hospital in-patient discharges from all hospitals during a given calendar year, expressed per 100,000 population,  age-standardized by age group (0-64, 65+), by sex for selected diagnoses (ISHMT code 0000 = ICD-10 codes A00-Z99 excluding V,W,X & Y codes and healthy newborns Z38). \nCalculated and presented by the following 25 categories of the International Shortlist for Hospital Morbidity Tabulation (ISHMT). (Total (All Causes), Infectious and Parasitic Diseases, Neoplasms, Malignant Neoplasm of Colon, Rectum & Anus; Trachea / Bronchus / Lung; Breast; Uterus; Prostate; Diabetes Mellitus, Mental & Behavioural Disorders, Dementia, Mental and Behavioural Disorders due to Alcohol, Mood [Affective] Disorders, Diseases of the Nervous System/Circulatory/Respiratory System; AMI, Cerebrovascular Disease, COPD and Bronchiectasis, Asthma, Diseases of the Digestive System, Alcoholic Liver Disease, Diseases of the Musculoskeletal System & Connective Tissue, Diseases of the Genitourinary System, Injury, Poisoning & Certain Other Consequences of External Causes)\n","s","Consolidated",11,1,3,0,1,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,2,4,0,0,0,1,0,0,1,71,0,0,0,0,0,1,0,0,0,0,0,0]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",52,"Hospital in-patient discharges, selected diagnoses","The number of hospital in-patient discharges from all hospitals during a given calendar year, expressed per 100,000 population. Calculated and presented by the following 25 categories of the International Shortlist for Hospital Morbidity Tabulation (ISHMT). (Total (All Causes), Infectious and Parasitic Diseases, Neoplasms, Malignant Neoplasm of Colon, Rectum & Anus; Trachea / Bronchus / Lung; Breast; Uterus; Prostate; Diabetes Mellitus, Mental & Behavioural Disorders, Dementia, Mental and Behavioural Disorders due to Alcohol, Mood [Affective] Disorders, Diseases of the Nervous System/Circulatory/Respiratory System; AMI, Cerebrovascular Disease, COPD and Bronchiectasis, Asthma, Diseases of the Digestive System, Alcoholic Liver Disease, Diseases of the Musculoskeletal System & Connective Tissue, Diseases of the Genitourinary System, Injury, Poisoning & Certain Other Consequences of External Causes)","The indicator is calculated as the total number of hospital in-patient discharges from all hospitals during a given calendar year, expressed per 100,000 inhabitants (end of year population). The definition of hospitals (HP.1) follows the International Classification for Health Accounts– Providers of health care (ICHA-HP) of the System of Health Accounts.","Hospital in-patient discharges are the most commonly used measure of the utilization of hospital services. Indicators based on hospital discharges from particular diseases can be used as an estimate of the burden\nof these diseases on health services. Besides, this indicator is often used as a measure for the occurrence of certain diseases in the population and as an indicator of the quality of primary health care (especially with regard to the care for diabetes, asthma and COPD). Finally, this indicator is often used in assessments of\ncosts and efficiency.",null,"Eurostat","• Calendar year\n• Country\n• Region (according to ISARE recommendations; see data availability)\n• Age groups: 0-64 and 65+ Age group exceptions:\n• dementia: no disaggregation according to age (not relevant for population below 65)\n• asthma: 0-14 and 15+ (similar to asthma incidence indicator: nr 26; hospital admissions for asthma in particular relevant in children)\n• injury and poisoning & certain other consequences of external causes: 0-14, 15-24, 25-64, and 65+ (similar to injury incidence indicators: nr 29, 30 and 31; injuries are an important cause of burden of disease particularly in children and young adults).","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_co_disch2&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_act_esms.htm","http://ec.europa.eu/health/indicators/docs/echi_67.pdf",67,4,"The number of hospital in-patient discharges from all hospitals during a given calendar year, expressed per 100,000 population, by age group (0-64, 65+), by sex for selected diagnoses (ISHMT code 0000 = ICD-10 codes A00-Z99 excluding V,W,X & Y codes and healthy newborns Z38). \nCalculated and presented by the following 25 categories of the International Shortlist for Hospital Morbidity Tabulation (ISHMT). (Total (All Causes), Infectious and Parasitic Diseases, Neoplasms, Malignant Neoplasm of Colon, Rectum & Anus; Trachea / Bronchus / Lung; Breast; Uterus; Prostate; Diabetes Mellitus, Mental & Behavioural Disorders, Dementia, Mental and Behavioural Disorders due to Alcohol, Mood [Affective] Disorders, Diseases of the Nervous System/Circulatory/Respiratory System; AMI, Cerebrovascular Disease, COPD and Bronchiectasis, Asthma, Diseases of the Digestive System, Alcoholic Liver Disease, Diseases of the Musculoskeletal System & Connective Tissue, Diseases of the Genitourinary System, Injury, Poisoning & Certain Other Consequences of External Causes)\n","c","ECHI",null,1]
["A","ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",52,"Hip fracture hospital admissions","Hip fracture admissions per 10,000 inhabitants aged 35 and older. ","Numerator: Admissions of patients aged 35 and older, with a principal diagnosis of hip fracture. Pathological fractures and accidents are excluded.\nDenominator: Population aged 35 and older. ","Hip fracture is a relatively common cause of hospital admission. Osteoporosis associated with ageing is the condition most frequently related to hip fracture. Hip fracture requires hospitalization and, in the vast majority of cases, surgical repair.\n\nSystematic variation in hip fracture data is very low across territories, as it happens to colectomy in colorectal cancer and hysterectomy in uterus cancer. Accordingly, these values represent the desired behaviour of healthcare providers if they were to perfectly match population’s need.\n\nWithin the ECHO framework, hip fracture is used as calibrator of the variation observed in orthopaedic procedures.",null,"http://www.echo-health.eu/handbook/ORT_HFRA.html",null,null,null,null,"OC3",4,"Hip fracture admissions per 10,000 inhabitants aged 35 and older. \nNumerator: Admissions of patients aged 35 and older, with a principal diagnosis of hip fracture. Pathological fractures and accidents are excluded.\nDenominator: Population aged 35 and older. ","c","ECHO",null,0,1]
["A","ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",52,"Coronary Ischaemic Disease admission (CID) ","Unplanned angina and/or acute myocardial infarction (AMI) admissions per 10,000 inhabitants aged 18 and older.","Numerator: Unplanned discharges of patients aged 18 and older with a primary diagnosis code of AMI or angina.\nDenominator: Population aged 18 and older. ","Coronary ischaemic disease (CID) is a common cause of hospital admission. In geographic studies on practice variation CID admissions are frequently proposed as a proxy measure of the burden of cardiovascular disease at the population level.\n\nIn ECHO, CID admissions are used in the study of revascularization procedures as both a risk adjuster and a calibrator; in the former case the CID admission rates are used to stratify or standardize revascularization rates at the population level, and in the latter case CID admissions, given their low systematic variation, are used to provide a measure of the expected systematic variation in revascularization rates. ",null,"http://www.echo-health.eu/handbook/CV_CID.html",null,null,null,null,"CV1",4,null,"c","ECHO",null,0,1]
["A","ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",52,"Acute Myocardial Infarction admission (AMI) ","Urgent acute myocardial infarction (AMI) admissions per 10,000 inhabitants aged 18 and older.","Numerator: Urgent discharges aged 18 and older with a primary diagnosis code of AMI.\nDenominator: Population aged 18 and older. ","Acute myocardial infarction (AMI) is a common cause of hospital admission. In geographic studies on practice variation AMI admissions are widely interpreted as a proxy of the burden of cardiovascular disease at population the level. Since AMI always requires an admission, AMI admissions tend to serve as a better proxy than CID.\n\nAs with CID, AMI admissions are used in the study of revascularization procedures as a risk adjuster or as a calibrator. In the former case revascularization rates at the population level are stratified or standardized using AMI admission rates, while in the latter case AMI admissions, which have very little systematic variation, are used to provide a measure of the expected systematic variation in revascularization rates. ",null,"http://www.echo-health.eu/handbook/CV_AMI.html",null,null,null,null,"CV2",4,null,"c","ECHO",null,0,1]
["A","ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",52,"Standardized rate of hospitalization","Number of hospital admissions per 100 000 inhabitants",null,"Hospital care",null,null,null,null,null,null,"nA",4,"Number of hospital admissions per 100 000 inhabitants by hospital category (acute, etc.)","c","ESIF for Health 2015",null,0,null,null,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",52,"Hospital discharges for circulatory diseases","Discharge is defined as the release of a patient who has stayed at least one night in hospital. It includes deaths in hospital following inpatient care. Same-day discharges are usually excluded",null,null,null,null,null,null,null,null,null,4,"Per 1 000 population","c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",52,"Hospital discharges for cancers",null,null,null,null,null,null,null,null,null,null,4,"Per 1 000 population","c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["C","World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",52,"Discharges per 100 population",null,null,null,null,null,null,null,null,null,32,4,null,"c","WHO Core Health 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",52,"Differential access to hospital procedures","The number of hospitalisations involving selected procedures per 1,000 population for selected population groups. Data are presented as a number per 1,000 population (age-standardised).",null,null,null,null,null,null,null,null,null,4,null,"c","AIHW. (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",52,"Hospitalisation for injury and poisoning","The number of hospitalisations with a principal diagnosis of injury or poisoning. This is presented as a number per 1,000 people (age-standardised).",null,null,null,null,null,null,null,null,null,4,null,"c","AIHW. (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",52,"Number of Acute Care Hospital Stays",null,null,"Facility Characteristics",null,"·      Canadian Institute for Health Information",null,null,null,null,null,4,null,"c","CIHI In Depth (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",52,"Self-Injury Hospitalizations","Age-standardized rate of hospitalization in a general hospital due to self-injury, per 100,000 population.","This indicator examines the age-standardized rate of hospitalization in a general hospital due to self-injury. It is calculated by dividing the total number of discharges for self-injury for patients age 15 and older by the mid-year population age 15 and older.","This indicator looks at how many patients were admitted to the hospital because of a deliberate bodily injury. High rates may reflect a failure to prevent self-injuries severe enough to require hospitalization.\nLower is better. It means fewer hospitalizations for self-injury.",null,"·      Canadian Institute for Health Information",null,null,"http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=1114197",null,null,4,null,"c","CIHI In Depth (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",52,"Hospitalized Heart Attacks (AMI)","This indicator measures the age-standardized rate of new acute myocardial infarction (AMI) events admitted to an acute care hospital for the population age 18 and older.\n\nA new event is defined as a first-ever hospitalization for an AMI or a recurrent hospitalized AMI occurring more than 28 days after the admission for the previous event in the reference period.","This indicator examines the age-standardized rate of new heart attacks admitted to an acute care hospital. It is calculated by dividing the total number of new heart attacks for persons age 20 and older by the mid-year population age 20 and older and multiplying by 100,000.","Acute myocardial infarction (AMI), or heart attack, is one of the leading causes of morbidity and death. This indicator looks at the age-standardized rate of new heart attacks admitted to an acute care hospital for the population age 20 and older. Although heart attacks admitted to a hospital do not reflect all heart attacks in the community, this information provides a useful and timely estimate of the disease occurrence in the population.\nLower is better. Low rates mean fewer hospitalized heart attacks (acute myocardial infarctions), suggesting that fewer heart attacks occurred in the community.",null,"·      Canadian Institute for Health Information",null,null,"http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=5111832",null,null,4,null,"c","CIHI In Depth (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",52,"Hospitalized Strokes","This indicator measures the age-standardized rate of new stroke events admitted to an acute care hospital for the Canadian population age 18 and older.\nA new event is defined as a first-ever hospitalization for stroke or a recurrent hospitalized stroke occurring more than 28 days after the admission for the previous event in the reference period. ","This indicator examines the age-standardized rate of new strokes admitted to an acute care hospital. It is calculated by dividing the total number of new strokes for persons age 20 and older by the mid-year population age 20 and older and multiplying by 100,000.","Stroke is one of the leading causes of long-term disability and death. This indicator looks at the age-standardized rate of new strokes admitted to an acute care hospital for the Canadian population age 20 and older. Although strokes admitted to a hospital do not reflect all strokes in the community, this information provides a useful and timely estimate of the disease occurrence in the population.\nLower is better. Low rates mean fewer hospitalized strokes, suggesting that fewer strokes occurred in the community.",null,"·      Canadian Institute for Health Information",null,null,"http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=5111834",null,null,4,null,"c","CIHI In Depth (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",52,"Admission rates – ASH","nA",null,"‘Using health resources effectively’ ",null,null,null,null,null,null,"2.8.",4,null,"c","MoH New Zealand 2016",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",52,"Hospital discharges per 1,000 population",null,null,"technical efficiency: However, the number of hospital discharges is not the best measure of outputs for several reasons. First, it includes not only the acute but also long-term care cases. Second, it does not take into account how complex or resource-intensive patients were cared for in the hospital, i.e. it does not measure the case-mix.",null,null,null,null,null,null,null,4,null,"c","Hungary HSPA (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Myocardial Infarction (MI): Volume of admissions","nA","nA","frequencies/volumes",null,null,null,null,null,"http://95.110.213.190/PNEed14_EN/risultati/protocolli/pro_122.pdf",null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"PCI for conditions other than myocardial infarction (MI)","nA","nA","frequencies/volumes",null,null,null,null,null,"http://95.110.213.190/PNEed14_EN/risultati/protocolli/pro_13.pdf",null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"STEMI: Volume of admissions","nA","nA","frequencies/volumes",null,null,null,null,null,"http://95.110.213.190/PNEed14_EN/risultati/protocolli/pro_98.pdf",null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"N-STEMI: Volume of admissions","nA","nA","frequencies/volumes",null,null,null,null,null,"http://95.110.213.190/PNEed14_EN/risultati/protocolli/pro_99.pdf",null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"MI unspecified site: Volume of admissions",null,null,"frequencies/volumes",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"PCI: Volume of admissions with at least one PCI","nA","nA","frequencies/volumes",null,null,null,null,null,"http://95.110.213.190/PNEed14_EN/risultati/protocolli/pro_113.pdf",null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"aortic abdominal aneurysm unruptured: Volume of admissions",null,null,"frequencies/volumes",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Aortic abdominal aneurysm ruptured: Volume of admissions",null,null,"frequencies/volumes",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Coronary artery bypass graft (CABG): Volume of admissions","nA","nA","frequencies/volumes",null,null,null,null,null,"http://95.110.213.190/PNEed14_EN/risultati/protocolli/pro_115.pdf",null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Valvuloplasty: Volume of admissions","nA","nA","frequencies/volumes",null,null,null,null,null,"http://95.110.213.190/PNEed14_EN/risultati/protocolli/pro_121.pdf",null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Carotid revascularization: Volume of admissions",null,null,"frequencies/volumes",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Carotid revascularization: stenting and angioplasty",null,null,"frequencies/volumes",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Carotid revascularization: endarterectomy",null,null,"frequencies/volumes",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Heart Failure: Volume of admissions","nA","nA","frequencies/volumes",null,null,null,null,null,"http://95.110.213.190/PNEed14_EN/risultati/protocolli/pro_130.pdf",null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Lower extremity revascularization: Volume of admissions",null,null,"frequencies/volumes",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Ischemic stroke: Volume of admissions",null,null,"frequencies/volumes",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Subarachnoid haemorrhage: Volume of admissions",null,null,"frequencies/volumes",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Unruptured brain aneurysm : Volume of admissions",null,null,"frequencies/volumes",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Ruptured brain aneurysm : Volume of admissions",null,null,"frequencies/volumes",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"COPD: Volume of admissions",null,null,"frequencies/volumes",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Cholecystectomy : Volume of admissions",null,null,"frequencies/volumes",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Laparoscopic cholecystectomy  : Volume of admissions",null,null,"frequencies/volumes",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Cholecystectomy  via laparotomy: Volume of admissions",null,null,"frequencies/volumes",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Laparoscopic cholecystectomy in ordinary admission: Volume of admissions",null,null,"frequencies/volumes",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Deliveries: Volume of admissions",null,null,"frequencies/volumes",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Hip fracture: Volume of admissions",null,null,"frequencies/volumes",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Tibia and Fibula Fracture: Volume of admissions",null,null,"frequencies/volumes",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Knee arthroscopy: Volume of admissions",null,null,"frequencies/volumes",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Surgical intervention for cancer of the lung: Volume of admissions",null,null,"frequencies/volumes",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Surgical intervention for cancer of the stomach: Volume of admissions",null,null,"frequencies/volumes",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Surgical intervention for cancer of the pancreas: Volume of admissions",null,null,"frequencies/volumes",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Surgical intervention for cancer of the colon: Volume of admissions",null,null,"frequencies/volumes",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Surgical intervention for cancer of the esophagus : Volume of admissions",null,null,"frequencies/volumes",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Surgical intervention for cancer of the liver: Volume of admissions",null,null,"frequencies/volumes",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Surgical intervention for cancer of the breast: Volume of admissions",null,null,"frequencies/volumes",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Surgical intervention for cancer of the gallbladder: Volume of admissions",null,null,"frequencies/volumes",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Surgical intervention for cancer of the prostate: Volume of admissions",null,null,"frequencies/volumes",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Surgical intervention for cancer of the kidney: Volume of admissions",null,null,"frequencies/volumes",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Surgical intervention for cancer of the bladder: Volume of admissions",null,null,"frequencies/volumes",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Surgical intervention for cancer of the rectum: volume of interventions",null,null,"frequencies/volumes",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Surgical intervention for cancer of the thyroid : Volume of admissions",null,null,"frequencies/volumes",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Surgical intervention for cancer of the uterus: Volume of admissions",null,null,"frequencies/volumes",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Surgical intervention for cancer of the brain: volume of craniotomy",null,null,"frequencies/volumes",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Tonsillectomy: Volume of admissions",null,null,"frequencies/volumes",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Hysterectomy: Volume of admissions",null,null,"frequencies/volumes",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Prostatectomy: Volume of admissions",null,null,"frequencies/volumes",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"AIDS: Volume of admissions",null,null,"frequencies/volumes",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Hospitalization for influenza",null,"Numerator\n: ordinary admission\ns\nwith discharge \nbetween 1 January 2\n008 and 30 November 2013.\nAge: \n65\n+ years\nMain diagnosis (ICD 9CM codes\n) : \n487.0, 487.1,\n487.8\nExcluded\n: \n\nPatients transferred from other hospital \n\nDRG \n370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, \n387, 388, 389, 390\n\nPatients non\n-\nresident in Italy\nDenominator\n: \nresidents aged \n65\nor over \n(\nresident population 1 January \n2013)","hospitalizations",null,null,null,null,null,"http://95.110.213.190/PNEed14_EN/risultati/protocolli/pro_44.pdf",null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Hospitalization for pediatric gastroenteritis","H\nospitalization \nrate \nfor \npediatric gastroenteritis \nby\narea\nof residence","Numerator\n: ordinary admission\ns\nwith discharge \nbetween 1 January 2\n008 and 30 November 2013.\nAge: \n0\n-\n17\nyears\nMain \ndiagnosis (ICD 9CM codes\n) : \n008.6_, 008.8, 009._, 5589\nExcluded\n: \n\nPatients transferred from other hospital \n\nDRG \n370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, \n387, 388, 389, 390\n\nPatients non\n-\nresident in Italy\nDenominator\n: \nresidents aged \n0\n-\n17\nyears\n(\nresident population 1 January \n2013)","hospitalizations",null,null,null,null,null,"http://95.110.213.190/PNEed14_EN/risultati/protocolli/pro_45.pdf",null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Hospitalization for Asthma pediatric",null,null,"hospitalizations",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Hospitalization for Asthma in adults",null,null,"hospitalizations",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Hospitalization for Asthma in the elderly",null,null,"hospitalizations",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Hospitalization for uncontrolled diabetes  (without complications)",null,null,"hospitalizations",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Hospitalization for short-term complications of diabetes",null,null,"hospitalizations",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Hospitalization for long-term complications of diabetes",null,null,"hospitalizations",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Hospitalization for lower-extremity amputation in diabetic patients",null,null,"hospitalizations",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Hospitalization for COPD",null,null,"hospitalizations",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Hospitalization for urinary tract infections",null,null,"hospitalizations",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Hospitalization for Hypertension",null,null,"hospitalizations",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Hospitalization for heart failure",null,null,"hospitalizations",null,null,null,null,null,"http://95.110.213.190/PNEed14_EN/risultati/protocolli/pro_59.pdf",null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Hospitalization for angina without procedure",null,null,"hospitalizations",null,null,null,null,null,"http://95.110.213.190/PNEed14_EN/risultati/protocolli/pro_60.pdf",null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Hospitalization for short and long-term complications of diabetes",null,null,"hospitalizations",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Hospitalization for Cholecystectomy  in patients with uncomplicated cholelithiasis ",null,null,"hospitalizations",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Hospitalization for intervention of tonsillectomy",null,null,"hospitalizations",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Hospitalization for Vein stripping surgery",null,null,"hospitalizations",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Hospitalization for knee replacement surgery",null,null,"hospitalizations",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Hospitalization for PCI",null,"Numerator\n: \nplanned \nordinary admission\ns\nand day\n-\nhospital \nwith discharge \nbetween 1 January 2\n008 \nand 30 November 2013.\nAge: 18+ years\nMain \nand secondary diagnosis \n(ICD 9 CM code\ns\n): \n36.01, 36.02, 36.06, 36.07, 00.66\nExcluded\n: \n\nPatients transferred from other hospital \nor from the same hospital but with other type of \nadmission\n\nMDC \n14 and\n1\n5\n\nPatients non\n-\nresident in Italy\nDenominator\n: \nresidents aged 18 or over \n(\nresident population 1 January \n2013)","hospitalizations",null,null,null,null,null,"http://95.110.213.190/PNEed14_EN/risultati/protocolli/pro_233.pdf",null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Planned admission for  transurethral prostatectomy for benign prostatic hyperplasia",null,null,"hospitalizations",null,null,null,null,null,null,null,4,null,"e ","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Planned admission for intervention of hysterectomy",null,null,"hospitalizations",null,null,null,null,null,null,null,4,null,"e ","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Hospitalization for hip fracture in elderly patients",null,null,"hospitalizations",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,"Vaginal delivery:admissions during puerperium",null,null,"mortality-procedures",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",52,"Inpatient activity","Inpatient admissions (spells) per 1,000.\nAdmissions are ordinary inpatient admissions (elective and nonelective), excluding day-cases, regular attenders, maternity and births, mental health",null,null,null,null,null,null,null,null,null,4,null,"c","UK - Bevan et al. (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Consolidated",53,"Crude productivity by health care professional type",null,null,null,null,null,null,null,null,null,null,4,"Inpatient admissions per hospital doctor/nurse","s","Consolidated",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0]
["E","Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",53,"Crude productivity, doctors","Inpatient admissions per hospital doctor",null,null,null,null,null,null,null,null,null,4,"Inpatient admissions per hospital doctor","c","UK - Bevan et al. (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",53,"Crude productivity, nurses","Inpatient admissions per nurse",null,null,null,null,null,null,null,null,null,4,"Inpatient admissions per nurse","c","UK - Bevan et al. (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A, E","Consolidated",54,"Hospital day-cases, total and selected diagnoses",null,null,null,null,null,null,null,null,null,null,4,"Hospital day cases total and for selected diagnoses (ISHMT code 0000 = ICD-10 codes A00-Z99 excluding V,W,X & Y codes and healthy newborns Z38), per 100,000 inhabitants: total population, by age group (0-64, 65+), by sex\n","s","Consolidated",9,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,3,1,1,1,2,0,1,0,0,0,0,0,0]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",54,"Hospital day-cases, selected diagnoses","The number of hospital day-cases from all hospitals during the given calendar year, expressed per 100,000 population. Calculated and presented by the following 25 categories of the International Shortlist for Hospital Morbidity Tabulation (ISHMT).","The indicator is calculated as the total number of hospital day-cases from all hospitals during a given calendar year, expressed per 100,000 inhabitants. The definition of hospitals (HP.1) follows the International Classification for Health Accounts– Providers of health care (ICHA-HP) of the System of Health Accounts. For definitions of day-cases see remarks.","Indicators based on hospital day-cases for particular diseases provide information on the burden of these\ndiseases on health services, complementing the information on hospital discharges. Besides, hospital daycases give information on the situation and evolution of these modes of production in health care sector. The\nindicator is also used in assessment of quality of care, costs and efficiency.","Eurostat",null,"• Calendar year\n• Country\n• Region (according to ISARE recommendations; see data availability)\n• Age groups: 0-64 and 65+\n• Age group exceptions:\n- dementia: no disaggregation according to age (not relevant for population below 65)\n- asthma: 0-14 and 15+ (similar to asthma incidence indicator: nr 26; hospital admissions for asthma in particular relevant in children)\n• injury and poisoning & certain other consequences of external causes: 0-14, 15-24, 25-64, and 65+ (similar to injury incidence indicators: nr 29, 30 and 31; injuries are an important cause of burden of disease particularly in children and young adults).","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_co_disch4&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_act_esms.htm","http://ec.europa.eu/health/indicators/docs/echi_68.pdf",68,4,"Hospital day cases, for selected diagnoses (ISHMT code 0000 = ICD-10 codes A00-Z99 excluding V,W,X & Y codes and healthy newborns Z38), per 100,000 inhabitants: total population, by age group (0-64, 65+), by sex\n","c","ECHI",null,1]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",54,"Hospital day-cases as percentage of total patient population (in-patients & day- cases), selected diagnoses","Hospital day-cases, for specific ICD-10 diagnosis groups, divided by the sum of number of in-patient discharges and the number of day-cases for the same diagnosis group. Calculated and presented for the following 25 categories of the International Shortlist for Hospital Morbidity Tabulation (ISHMT).","The indicator is calculated as the total number of hospital day-cases from all hospitals during the given calendar year, divided by the sum of the number of hospital in-patient discharges from all hospitals and the number of hospital day-cases from all hospitals, for each of the diagnosis groups, during the given calendar year. The definition of hospitals (HP.1) follows the International Classification for Health Accounts– Providers of health care (ICHA-HP) of the System of Health Accounts.\nFor the definition of a day case, an in-patient and a (hospital) discharge see remarks for indicators 67. Hospital in-patient discharges and 68. Hospital day-cases.\n","Hospital day-cases as percentage of total patient population provides information on the situation and\nevolution of this mode of production in health care sector. By combining the information on hospital inpatient discharges and day cases, it provides extra insight in issues of quality of care, costs and efficiency.","Eurostat",null,"• Calendar year\n• Country\n• Region (according to ISARE recommendations; see data availability)\n• Age groups: 0-64 and 65+ Age group exceptions:\n• dementia: no disaggregation according to age (not relevant for population below 65)\n• asthma: 0-14 and 15+ (similar to asthma incidence indicator: nr 26; hospital admissions for asthma in particular relevant in children)\n• injury and poisoning & certain other consequences of external causes: 0-14, 15-24, 25-64, and 65+ (similar to injury incidence indicators: nr 29, 30 and 31; injuries are an important cause of burden of disease particularly in children and young adults).","http://ec.europa.eu/eurostat/web/health/health-care/data/database","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_act_esms.htm","http://ec.europa.eu/health/indicators/docs/echi_69.pdf",69,4,"Hospital day cases, for selected diagnose (ISHMT code 0000 = ICD-10 codes A00-Z99 excluding V,W,X & Y codes and healthy newborns Z38), divided by the sum of number of in- patient discharges and the number of day cases for the same diagnosis groups: total population, by age group (0-64, 65+), by sex.\n","c","ECHI",null,1]
["A","Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",54,"Hospital day cases as % of total hospital discharges","Hospital discharges for all diagnoses (ICD 10: All causes of diseases (A00-Z99) excluding V00-Y98); Day cases: Day care comprises patients that are formally admitted for receiving health care being discharge on the day of admission (Eurostat: hlth_co_disch3). An episode of care for a patient who stays overnight is classified as an in-patient case (Eurostat: hlth_co_disch1).",null,null,null,null,null,null,null,null,15,4,null,"c","Eckfeldt et al. 2014 (DG-ECFIN)",null,0,null,1]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",54,"One-day surgical admissions (% of surgical admissions)",null,null,"Efficiency of care",null,null,null,null,null,null,"E-1",4,null,"c","Belgium - Vrijens et al. (2015)",null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",54,"Cholecystectomy  in ordinary admission/day surgery: proportion of laparoscopic cholecystectomy",null,null,"mortality-procedures",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",54,"Laparoscopic cholecystectomy: proportion of day-surgery admissions",null,null,"mortality-procedures",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",54,"Laparoscopic cholecystectomy in  day surgery: Volume of admissions",null,null,"frequencies/volumes",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",54,"Day case discharges as a % of total discharges","Hospital day-cases, for specific ICD-10 diagnosis groups, divided by the sum of number of inpatient discharges and the number of day-cases for the same diagnosis group","The indicator is calculated as the total number of hospital day-cases from all hospitals during the given calendar year, divided by the sum of the number of hospital in-patient discharges from all hospitals and the number of hospital day-cases from all hospitals, for each of the diagnosis groups, during the given calendar year",null,null,null,null,null,null,null,40,4,null,"c","Malta - Grech et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",54,"Productivity in Dutch hospital care","Not clearly defined - consists partly of the following indicators: \n* Dutch hospital admissions into day-patient and inpatient care; increasing proportions of hospital interventions were delivered in daypatient attendances; \n* Hospital size",null,"Health expenditure and efficiency: efficiency. \nthe same number of admissions could be carried out in 2009 at lower cost than in 2003. The trend was largely attributable to organic growth (general technological development) in all hospitals. Because the study did not assess quality of care, it is unclear whether the additional production resulted in additional health gains.",null,null,null,null,null,null,140,4,"Not clearly defined - consists partly of the following indicators: \n* Dutch hospital admissions into day-patient and inpatient care; increasing proportions of hospital interventions were delivered in daypatient attendances; \n* Hospital size","c","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",54,"Percent of selected procedures performed on a day surgery basis","check definition",null,"Health system efficiency",null,null,null,null,null,null,null,4,null,"c","Portugal HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",54,"Uterine Prolapse – Frequency of Day-case Surgery",null,null,null,null,null,null,null,null,null,57,4,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",54,"Inguinal Hernia – Percentage of Day-case Operations","Percentage of day-case operations for inguinal hernia",null,"Day-case surgery, a common approach, is less resource-intensive than inpatient care. The purpose of this indicator is to identify variations in resource utilisation.",null,null,null,null,null,null,144,4,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",54,"Day-cases","Day-cases per 1,000. \nA patient admitted electively during the course of a day with the intention of receiving care who does not\nrequire the use of a hospital bed overnight and who returns home as scheduled. If this original intention is not fulfilled and the patient stays overnight, such a patient should be counted as an ordinary admission.",null,null,null,null,null,null,null,null,null,4,null,"c","UK - Bevan et al. (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A, B, C, D, E","Consolidated",55,"Average length of stay (ALOS), total and selected diagnoses",null,null,null,null,null,null,null,null,null,null,4,"Total population age-standardized, for selected diagnoses; by type of care (acute, mental and rehabilitation hospitals) disaggregated by age group (0-64, 65+), by sex.\nIn-patient average length of stay (in days) , for selected diagnose (ISHMT code 0000 = ICD-10 codes A00-Z99 excluding V,W,X & Y codes and healthy newborns Z38, e.g. cancers, AMI, normal delivery, ). \nAverage length of stay (ALOS) is computed by dividing the total number of in-patient hospital days , in all hospitals, counted from the date of admission to the date of discharge by the total number of discharges (including deaths) in all hospitals during a given year. A hospital day (or bed-day or in-patient day) is a day, during which a person admitted as an in-patient, is confined to a bed and stays overnight in a hospital.\nDay-cases (patients formally admitted for a medical procedure or surgery in the morning and discharged before the evening) are excluded. Patients admitted with the intention of discharge on the same day, but who subsequently stay in hospital overnight, are included.","s","Consolidated",16,1,0,1,2,0,0,0,0,0,0,0,0,0,0,0,1,3,7,0,0,1,0,3,0,0,0,1,1,1,1,0,1,1,1,0,0,0,0,1,0,0,0,0]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",55,"Average length of stay (ALOS), limited diagnoses","The average length of stay (ALOS) in days in a hospital per discharged in-patient, i.e. average duration of a single episode of hospitalization. Calculated and presented by the following 25 categories of the International Shortlist for Hospital Morbidity Tabulation (ISHMT)","Average length of stay (ALOS) is computed by dividing the total number of in-patient hospital days , in all hospitals, counted from the date of admission to the date of discharge by the total number of discharges (including deaths) in all hospitals during a given year. A hospital day (or bed-day or in-patient day) is a day, during which a person admitted as an in-patient, is confined to a bed and stays overnight in a hospital.\nDay-cases (patients formally admitted for a medical procedure or surgery in the morning and discharged before the evening) are excluded. Patients admitted with the intention of discharge on the same day, but who subsequently stay in hospital overnight, are included.","Average length of stay (ALOS) is used in assessment of quality of care, costs and efficiency. The indicator is often used for health planning purposes. But it has to be pointed out that the type of reimbursement system or health insurance plan in a country can play a significant role in the patient length of stay in hospitals.","Eurostat",null,"• Calendar year\n• Country\n• Region (according to ISARE recommendations; see data availability)\n• Age groups: 0-64 and 65+ Age group exceptions:\n• dementia: no disaggregation according to age (not relevant for population below 65)\n• asthma: 0-14 and 15+ (similar to asthma incidence indicator: nr 26; hospital admissions for asthma in particular relevant in children)\n• injury and poisoning & certain other consequences of external causes: 0-14, 15-24, 25-64, and 65+ (similar to injury incidence indicators: nr 29, 30 and 31; injuries are an important cause of burden of disease particularly in children and young adults).","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_co_disch&lang=en","http://epp.eurostat.ec.europa.eu/cache/ITY_SDDS/EN/hlth_care_esms.htm ","nA",70,4,"In-patient average length of stay (in days) , for selected diagnose (ISHMT code 0000 = ICD-10 codes A00-Z99 excluding V,W,X & Y codes and healthy newborns Z38): total population, by age group (0-64, 65+), by sex\n","c","ECHI",null,1]
["A","Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",55,"Average acute care length of stay (ALOS) in days","Average length of stay in curative care beds is calculated by dividing the number of days stayed (from the date of admission in an hospital or other in-patient institution) by the number of discharges during the year. It includes deaths in hospitals, but excludes same-day separations.",null,null,null,null,null,null,null,null,14,4,"Average length of stay in curative care beds is calculated by dividing the number of days stayed (from the date of admission in an hospital or other in-patient institution) by the number of discharges during the year. It includes deaths in hospitals, but excludes same-day separations.","c","Eckfeldt et al. 2014 (DG-ECFIN)",null,0,null,1]
["A","ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",55,"In-patient average length of stay in days, all diagnosis","Average duration in days of a single episode of hospitalization in a hospital per discharged in-patient",null,"Hospital care",null,null,null,null,null,null,"nA",4,null,"c","ESIF for Health 2015",null,0,null,null,1]
["A","ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",55,"In-patient average length of stay in days, for individual diagnosis groups",null,null,"Hospital care",null,null,null,null,null,null,"nA",4,null,"c","ESIF for Health 2015",null,0,null,null,1]
["A","Smith PC, Cylus J & Papanicolas I (2016) Efficiency book, European Observatory …",55,"Average Length of Stay for particular conditions","As the name suggests, this measure provides information on the number of days per inpatient stay, on average. \nAverage length of stay in hospitals can be used both as a general measure (to cover all conditions), and by particular condition/treatment (e.g. average length of stay for hip replacement). Average length of stay in hospitals as an indicator of efficiency relies on the assumption that with all other things being equal, a shorter hospital stay will imply reduced costs as the patient moves out of the expensive inpatient care setting. ",null,"What does it tell you, and what does it not tell you?\n\nAverage length of stay for particular conditions can help to highlight variations in resource use across providers. However, in most cases it is not clear what is an ideal length of time for the average length of stay to be. It is commonly assumed that lower length of stay is more efficient, as a shorter stay implies reduced costs, however this may not always hold true for a number of reasons, such as:\n\n• Even within the same condition, cases are different in terms of their severity and the intensity of treatment. For example, it is likely that an older, frailer patient will need to stay in the hospital longer than a younger healthier patient who underwent the same treatment. \n• Shorter length of stay may be inefficient in the long run. While discharging patients earlier may appear efficient in the short term but cutting costs, it may result in increased probability of complications, or slower recovery, which can cost more in the long term either through expensive readmissions or accumulated outpatient services. \n• Hospital costs are not the same across all days of an inpatient stay. It is likely that costs in the initial days of the stay are more expensive, as these are the days where diagnostic tests and/or interventions are likely to occur. Later days may entail necessary bed rest and continuing medications, which will be cheaper. \n\nWhat should you next if you find variation?\n\nIf providers, or indeed countries, have different average length of stay, for particular conditions or overall, it is important to find out which of these explanations may apply. \n\nDifferences in length of stay across providers may reflect differences in patient characteristics such as age, severity of treatment or other factors. It is thus important to look at these characteristics before concluding that higher length of stay is inefficient.  However, longer length of stay can also reflect inefficiencies, for example it may be linked to administrative delays (such as, delays in scheduling tests, coordinating care across providers, performing a treatment). \n\nTo explore variation in average length of stay across countries it may be useful to explore differences in health system structures and definitions. For example, care may be structured differently across countries such that rehabilitation is performed in hospitals in some countries, while in other countries it occurs in rehabilitation facilities. Indeed, it may also be that different countries employ different definitions for what they consider to be ‘hospitals’ and thus do not record the same information for this indicator. \n\nOther structural factors that may be important to consider are payment systems or targets. Different payment systems put in place to reimburse hospital stays, such as budgets, per-diem payments or DRGs, produce different incentives for early or late discharge. For example, hospitals who are paid on a per diem basis can generate more income by discharging patients later than hospitals who are paid through budgets. ",null,null,null,null,null,null,null,4,null,"c","Smith et al. (2016)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",55,"Average length of stay in hospitals","Average length of stay refers to the average number of days that patients spend in hospital. It is generally measured by dividing the total number of days stayed by all inpatients during a year by the number of admissions or discharges. Day cases are excluded. The data cover all inpatient cases (including not only cura- tive/acute care cases) for most countries",null,null,null,null,null,null,null,null,null,4,"in days","c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",55,"Average length of stay for normal delivery",null,null,null,null,null,null,null,null,null,null,4,"in days","c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",55,"Average length of stay for acute myocardial infarction (AMI)",null,null,null,null,null,null,null,null,null,null,4,null,"c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["B","Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",55,"Average length of stay (ALOS), Total in-patient",null,null,null,null,null,null,null,null,null,"nA",4,null,"c","Joumard et al. 2010",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["B","Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",55,"ALOS, AMI",null,null,null,null,null,null,null,null,null,"nA",4,null,"c","Joumard et al. 2010",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["B","Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",55,"ALOS, Breast cancer",null,null,null,null,null,null,null,null,null,"nA",4,null,"c","Joumard et al. 2010",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["B","Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",55,"ALOS, Trachea, bronchus and lung cancer",null,null,null,null,null,null,null,null,null,"nA",4,null,"c","Joumard et al. 2010",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["B","Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",55,"ALOS, Colon, rectum and anus cancer",null,null,null,null,null,null,null,null,null,"nA",4,null,"c","Joumard et al. 2010",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["B","Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",55,"ALOS, Fracture of femur",null,null,null,null,null,null,null,null,null,"nA",4,null,"c","Joumard et al. 2010",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["B","Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",55,"ALOS, Tuberculosis",null,null,null,null,null,null,null,null,null,"nA",4,null,"c","Joumard et al. 2010",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["C","World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",55,"Average length of stay",null,null,null,null,null,null,null,null,null,33,4,null,"c","WHO Core Health 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",55,"Average Length of a Hospital Stay (Days)",null,null,"Facility Characteristics",null,"·      Canadian Institute for Health Information",null,null,null,null,null,4,null,"c","CIHI In Depth (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",55,"Patient Days in Alternate Level of Care (Percentage)",null,null,"Regional Characteristics and Inputs",null,"·      Canadian Institute for Health Information",null,null,null,null,null,4,null,"c","CIHI In Depth (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",55,"Average Length of a Long-Term Care Stay (Years)",null,null,"Facility Characteristics",null,"·      Canadian Institute for Health Information",null,null,null,null,null,4,null,"c","CIHI In Depth (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",55,"Length of stay","nA",null,"‘Using health resources effectively’ ",null,null,null,null,null,null,"2.1.",4,null,"c","MoH New Zealand 2016",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",55,"Length of stay normal delivery (mean, days)",null,null,"Efficiency of care",null,null,null,null,null,null,"E-2",4,null,"c","Belgium - Vrijens et al. (2015)",null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
["E","WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",55,"Average length of stay, all hospitals",null,null,"Efficiency and effectiveness of the health system: technical efficiency",null,null,null,null,null,null,null,4,null,"c","Estonia HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",55,"average length of stay",null,null,"technical efficiency: the association between the number of hospital days and cost of care is not linear, with the bulk of the costs being concentrated in the first couple of days of acute inpatient care",null,null,null,null,null,null,null,4,null,"c","Hungary HSPA (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",55,"Hospital average length of stay (acute, mental and rehabilitation hospitals)","The average length of stay (ALOS) in days in a hospital per discharged in-patient, i.e. average duration of a single episode of hospitalization","ALOS is computed by dividing the total number of in-patent hospital days, in all hospitals, counted from the date of admission to the date of discharge by the total number of discharges (including deaths) in all hospitals during a given year. A hospital day (or bed-day or in-patient day) is a day, during which a person admitted as an in-patient, is confined to a bed and stays overnight in a hospital. Day-cases (patients formally admitted for a medical procedure or surgery in the morning and discharged before the evening) are excluded. Patients admitted with the intention of discharge on the same day, but who subsequently stay in hospital overnight, are included’.",null,null,null,null,null,null,null,15,4,null,"c","Malta - Grech et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",55,"Average lengths of hospital stays in the Netherlands and internationally",null,null,"Health expenditure and efficiency: efficiency",null,null,null,null,null,null,141,4,null,"c","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",55,"Average length of hospital stay",null,null,"Health system efficiency",null,null,null,null,null,null,null,4,null,"c","Portugal HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",55,"Average length of stay in hospital, all causes (days)",null,null,null,null,"OECD",null,null,null,null,null,4,null,"c","UK - Berry (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",55,"Average Acute Care Resource Use Intensity",null,null,"Facility Characteristics",null,"·      Canadian Institute for Health Information",null,null,null,null,null,4,"nA","e","CIHI In Depth (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",55,"Total Acute Care Resource Use Intensity",null,null,"Facility Characteristics",null,"·      Canadian Institute for Health Information",null,null,null,null,null,4,"nA","e","CIHI In Depth (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",55,"Productivity in Dutch mental health care","In the study by Niaounakis, mental health care productivity was measured in terms of the numbers of outpatient sessions, part-time treatments, inpatient days and days in sheltered accommodation. Weights were determined on the basis of recent fee levels to estimate the relative intensity of care in those four categories.",null,"Health expenditure and efficiency: efficiency",null,null,null,null,null,null,143,4,"In the study by Niaounakis, mental health care productivity was measured in terms of the numbers of outpatient sessions, part-time treatments, inpatient days and days in sheltered accommodation. Weights were determined on the basis of recent fee levels to estimate the relative intensity of care in those four categories.","e/ms","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",55,"Productivity in Dutch nursing homes, residential homes and home care","Numbers of nursing home bed days and the numbers of home care hours",null,"Health expenditure and efficiency: efficiency",null,null,null,null,null,null,144,4,"Numbers of nursing home bed days and the numbers of home care hours","e/ms","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D, E","Consolidated",56,"Bed days per capita",null,null,null,null,null,null,null,null,null,null,4,"Total number of bed-days in acute, mental and rehabilitation hospitals during the year. ","s","Consolidated",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",56,"Acute hospital bed days per capita","A measure of acute demand on secondary care that is amenable to good upstream primary care, discharge planning and transition requiring good communication between primary and secondary care.",null,"‘Using health resources effectively’ ",null,null,null,null,null,null,2,4,null,"c","MoH New Zealand 2016",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",56,"Curative care bed-days (number/capita)","Curative care bed days, number per capita.","Numerator: total number of days of inpatient stays spent in acute care beds\nDenominator: total Belgian population.","The number of acute care bed days per capita gives an idea about the population’s need for acute care beds, and thus about the needed infrastructure. This indicator gives an idea about how this need is met (sustainability). This indicator combines results from two other indicators: number of hospital admission per capita, and average length of hospitalisation.",null,null,null,null,null,null,"S-11",4,null,"c","Belgium - Vrijens et al. (2015)",null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",56,"Number of hospitalisation days in psychiatric hospital wards (/1000 pop)","Number of hospitalisations days in psychiatric hospital per capita","Numerator: Number of hospitalisation days in psychiatric hospital or in psychiatric services of general hospital with at least one overnight.\nDenominator: Mid-year Belgian population","This indicator provides contextual information on the utilization of mental healthcare services outside ambulatory\nsetting. It may reflect differences between regions, such as the health of the population, differing health service\ndelivery models and variations in the availability and accessibility of specialized, residential and/or ambulatory and\ncommunity-based services. We acknowledge that monitoring psychiatric hospital service use captures only a\nrelatively small proportion of individuals who require mental healthcare services. However, in Belgium (like in other\nWestern countries) recent reforms (e.g. art 107 projects) in mental healthcare aim to shift the organisation of mental\nhealthcare from a model that was based on ‘large isolated institutions’ towards a balanced care model. This implies\nthat care is offered and delivered as close as possible to the patient’s living environment, and only if necessary in an\ninstitution. As such, one may expect a decreasing trend of psychiatric hospitalisation days.",null,null,null,null,null,null,"MH-10",4,"Number of hospitalisations days in psychiatric hospital per capita","c","Belgium - Vrijens et al. (2015)",null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
["B","Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",57,"Turnover rate","the number of cases per available acute care bed","The formula linking the occupancy rate (OR), turnover rate (TR) and ALOS is as follows: OR=ALOS*TR/365. Definitions and methods for collecting data may not be fully consistent and this relationship does not always hold exactly.","often considered to be relevant for assessing efficiency in the use of existing medical facilities",null,null,null,null,null,null,"nA",4,"The number of cases per available acute care bed. ","s","Joumard et al. 2010",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A, B, D, E","Consolidated",58,"Occupancy rate",null,null,null,null,null,null,null,null,null,null,4,"The occupancy rate is calculated as the number of beds effectively occupied (bed-days) for curative care divided by the number of beds available for curative care multiplied by 365 days, with the ratio multiplied by 100. Occupancy rate = Total number of bed-days during the year / (Number of beds available * 365 days) * 100","s","Consolidated",7,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0]
["A","Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",58,"Acute care bed occupancy rates","Number of acute care beds effectively occupied (beddays) in in- patient institutions divided by the number of available acute care beds and multiplied by 100.",null,null,null,null,null,null,null,null,13,4,null,"c","Eckfeldt et al. 2014 (DG-ECFIN)",null,0,null,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",58,"Occupancy rate of curative (acute) care beds",null,null,null,null,null,null,null,null,null,null,4,"The occupancy rate is calculated as the number of beds effectively occupied (bed-days) for curative care divided by the number of beds available for curative care multiplied by 365 days, with the ratio multiplied by 100. Occupancy rate = Total number of bed-days during the year / (Number of beds available * 365 days) * 100","c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["B","Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",58,"Occupancy rate, acute care beds",null,"The formula linking the occupancy rate (OR), turnover rate (TR) and ALOS is as follows: OR=ALOS*TR/365. Definitions and methods for collecting data may not be fully consistent and this relationship does not always hold exactly.","Often considered to be relevant for assessing efficiency in the use of existing medical facilities. A high occupancy rate (usually considered as an efficient use of resources) can either reflect long\nALOS (usually considered as an inefficient use of resources) or a high turnover rate.",null,null,null,null,null,null,"nA",4,"nA","c","Joumard et al. 2010",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",58,"Hospital Occupancy Rate",null,null,"Facility Characteristics",null,"·      Canadian Institute for Health Information",null,null,null,null,null,4,null,"c","CIHI In Depth (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",58,"Bed occupancy rate (%), acute care hospitals only",null,null,"Efficiency and effectiveness of the health system: technical efficiency",null,null,null,null,null,null,null,4,null,"c","Estonia HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",58,"bed occupancy rate",null,null,"technical efficiency: the expenditures depend on the number of beds, which alone is only loosely correlated to actual costs of acute care (in the case of long-term care the number of beds is a better proxy).",null,null,null,null,null,null,null,4,null,"c","Hungary HSPA (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",58,"Acute hospital bed-occupancy rates by sector","The occupancy rate is calculated as the number of beds effectively occupied (bed-days) for curative care divided by the number of beds available for curative care multiplied by 365 days, with the ratio multiplied by 100. Occupancy rate = Total number of bed-days during the year / (Number of beds available * 365 days) * 100",null,null,null,null,null,null,null,null,10,4,null,"c","Malta - Grech et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A, B, E","Consolidated",59,"General practitioner (GP) utilisation: self-reported visits / Number of doctor consultations",null,null,null,null,null,null,null,null,null,null,4,"Disaggregated by age group (15+, 15-64, 65+), by sex, by educational level (ISCED class 0-2, 3-4, 5-6) and income level.\nMean number of self-reported visits to general practitioner age-standardized per person per year. \nDerived from EHIS questions HC10 and HC11. \nHC10: When was the last time you consulted a GP (general practitioner) or family doctor on your own behalf? (1) Less than 12 months ago /2) 12 months ago or longer / 3) Never) \nIf HC10 is 1) HC11: During the past four weeks ending yesterday, that is since (date), how many times did you consult a GP (general practitioner) or family doctor on your own behalf? (number of times). Total number of contacts reported under HC11 is extrapolated from 4 to 52 weeks, and divided by the total number of respondents in the sample","s","Consolidated",6,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",59,"General practitioner (GP) utilisation: self-reported visits ","Mean number of self-reported visits to general practitioner per person per year.","Mean number of visits to general practitioner per person per year, derived from EHIS questions HC10 and HC11. HC10: When was the last time you consulted a GP (general practitioner) or family doctor on your\nown behalf? (1) Less than 12 months ago /2) 12 months ago or longer / 3) Never) If HC10 is 1): ➛ HC11:\nDuring the past four weeks ending yesterday, that is since (date), how many times did you consult a GP (general practitioner) or family doctor on your own behalf? (number of times). Total number of contacts reported under HC11 is extrapolated from 4 to 52 weeks, and divided by the total number of respondents in the sample. EHIS data will not be age standardized.","A basic indicator for the use of medical services. The differences by sex, age and socio-economic status provide information that can be used in assessment of the cost and (equity of ) access to health services.","Eurostat (EHIS)",null,"• Country\n• Calendar year\n• Sex\n• Age group (15-64, 65+)\n• SES (educational level. ISCED 3 aggregated groups: 0-2; 3+4; 5+6)","nA","nA","nA",71,4,"Mean number of self-reported visits to general practitioner per person by age group (15+, 15-64, 65+), by sex and by educational level (ISCED class 0-2, 3-4, 5-6) per year","c","ECHI",null,1]
["A","ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",59,"Percentage of illness cases where the first point of contact is a general practitioner",null,null,"Primary and ambulatory care",null,null,null,null,null,null,"nA",4,null,"c","ESIF for Health 2015",null,0,null,null,1]
["A","EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",59,"Care utilisation (total, by SES)","To be defined and possibly also broken down by socio-economic group.",null,null,"Eurostat (future EU-SILC 3-year health module)",null,null,null,null,null,"A-5",4,"To be defined and possibly also broken down by socio-economic group.","c","JAF Health (DG EMPL)",null,0,0,0,0,0,0,0,0,0,0,0,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",59,"Number of doctor consultations per person","Consultations with doctors refer to the number of contacts with physicians, including both generalists and specialists. \nThis indicator presents data on the number of consultations patients have with doctors in a given year. Consultations with doctors can take place in doctors’ offices or clinics, in hospital outpatient departments or, in some cases, in patients’ own homes. There are variations across countries in the coverage of different types of consultations, notably in outpatient departments of hospitals. The data come from administrative sources or surveys, depending on the country. This indicator is measured per capita.",null,null,null,null,null,null,"https://data.oecd.org/healthcare/doctors-consultations.htm",null,null,4,"Consultations with doctors refer to the number of contacts with physicians, including both generalists and specialists. \nThis indicator presents data on the number of consultations patients have with doctors in a given year. Consultations with doctors can take place in doctors’ offices or clinics, in hospital outpatient departments or, in some cases, in patients’ own homes. There are variations across countries in the coverage of different types of consultations, notably in outpatient departments of hospitals. The data come from administrative sources or surveys, depending on the country. This indicator is measured per capita.","c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",59,"GP Contacts per capita","Mean number of self-reported visits to general practitioner per person per year","Mean number of visits to general practitioner per person per year, derived from EHIS questions HC10 and HC11. HC10: When was the last time you consulted a GP (general practitioner) or family doctor on your own behalf? (1) Less than 12 months ago /2) 12 months ago or longer / 3) Never) If HC10 is 1) HC11: During the past four weeks ending yesterday, that is since (date), how many times did you consult a GP (general practitioner) or family doctor on your own behalf? (number of times). Total number of contacts reported under HC11 is extrapolated from 4 to 52 weeks, and divided by the total number of respondents in the sample.",null,null,null,null,null,null,null,43,4,"Mean number of visits to general practitioner per person per year, derived from EHIS questions HC10 and HC11. HC10: When was the last time you consulted a GP (general practitioner) or family doctor on your own behalf? (1) Less than 12 months ago /2) 12 months ago or longer / 3) Never) If HC10 is 1) HC11: During the past four weeks ending yesterday, that is since (date), how many times did you consult a GP (general practitioner) or family doctor on your own behalf? (number of times). Total number of contacts reported under HC11 is extrapolated from 4 to 52 weeks, and divided by the total number of respondents in the sample.","c","Malta - Grech et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",59,"Study on level of income-related inequity in doctor visits","nA",null,"Inequalities in access to health care services: Do the methods of health system financing influence the utilization of health care services?",null,null,null,null,null,null,null,4,"nA","c","Portugal HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["B","Consolidated",60,"Estimated number of consultations per doctor",null,null,null,null,null,null,null,null,null,null,4,"Annual consultations per doctor","s","Consolidated",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",60,"Estimated number of consultations per doctor",null,null,null,null,null,null,null,null,null,null,4,"Annual consultations per doctor","c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["B","Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",60,"Number of consultations per doctor",null,null,null,null,null,null,null,null,null,"nA",4,null,"c","Joumard et al. 2010",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A, D, E","Consolidated",61,"Selected outpatient visits, self-reported",null,null,null,null,null,null,null,null,null,null,4,"a) Mean number of self-reported visits to a (dentist or orthodontist / medical or surgical specialist) per person by age group (15+, 15-64, 65+) and by education level (ISCED class 0-2, 3-4, 5-6) per year. \nB) Proportion of population by age group (15+, 15-64, 65+) and by education level (ISCED class 0-2, 3-4, 5-6) reporting to have had a contact with a psychologist or psychotherapist during the past 12 months","s","Consolidated",5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",61,"Selected outpatient visits","1) Mean number of self-reported visits to a dentist or orthodontist per person per year.\n2) Mean number of self-reported visits to a medical or surgical specialist per person per year.\n3) Proportion of population reporting to have had a contact with a psychologist or psychotherapist during\nthe past 12 months.","1) Mean number of self-reported visits to a dentist or orthodontist per person per year, derived from EHIS questions HC08 and HC09. HC08: When was the last time you visited a dentist or orthodontist on your own behalf (that is not while only accompanying a child, spouse etc)? (1) Less than 12 months ago\n/2) 12 months ago or longer / 3) Never) If HC08 is 1): ➛ HC09: During the past four weeks ending\nyesterday, that is since (date), how many times did you consult a dentist or orthodontist on your own behalf? (number of times). Total number of contacts reported under HC09 is extrapolated from 4 to 52 weeks, and divided by the total number of respondents in the sample.\n2) 2. Mean number of self-reported visits to a medical or surgical specialist per person per year, derived from EHIS questions HC12 and HC13. HC12: When was the last time you consulted a medical or surgical specialist on your own behalf? (1) Less than 12 months ago /2) 12 months ago or longer /\n3) Never) If HC12 is 1): ➛ HC13: During the past four weeks ending yesterday, that is since (date),\nhow many times did you consult a specialist on your own behalf? (number of times). Total number of contacts reported under HC13 is extrapolated from 4 to 52 weeks, and divided by the total number of respondents in the sample.\n3) Percentage of respondents reporting to have had a contact with a psychologist or psychotherapist during the past 12 months, derived from EHIS question HC.16 During the past 12 months, that is since (date on year ago), have you visited on your own behalf a …? (different types of health care providers are listed among which ‘psychologist or psychotherapist’). Numerator = number of respondents answering yes\nto the question whether they visited a psychologist or psychotherapist. Denominator = total number of respondents in sample.\nEHIS data will not be age standardized.","Indicator used in assessment of cost and (equity of ) access.","Eurostat (EHIS)",null,"• Country\n• Calendar year\n• Sex\n• Age group (15-64, 65+)\n• SES (educational level. ISCED 3 aggregated groups: 0-2; 3+4; 5+6)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_hc5&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_det_esms.htm","nA",72,4,"a) Mean number of self-reported visits to a (dentist or orthodontist / medical or surgical specialist) per person by age group (15+, 15-64, 65+) and by education level (ISCED class 0-2, 3-4, 5-6) per year. \nB) Proportion of population by age group (15+, 15-64, 65+) and by education level (ISCED class 0-2, 3-4, 5-6) reporting to have had a contact with a psychologist or psychotherapist during the past 12 months","c","ECHI",null,1]
["C","World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",61,"Outpatient contacts per person per year",null,null,null,null,null,null,null,null,null,31,4,null,"c","WHO Core Health 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",61,"Percent of children with a medical and dental preventive care visit in the past year","Percent of children 0-17 with a preventive medical visit and, if ages 1-17, a preventive dental visit in the past year.",null,null,null,"2011/12 National Survey of Children’s Health (CAHMI, NSCH 2011/12).",null,null,null,null,10,4,"Percent of children 0-17 with a preventive medical visit and, if ages 1-17, a preventive dental visit in the past year.","c","CWF State Scorecard",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",61,"Core Well Child Tamariki Ora visits achieved","nA",null,"‘Keeping children out of the hospital’.",null,null,null,null,null,null,"1.6.",4,null,"c","MoH New Zealand 2016",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",61,"Outpatient activity","All attendances, per 1,000 population",null,null,null,null,null,null,null,null,null,4,null,"c","UK - Bevan et al. (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D, E","Consolidated",62,"Dentist utilization: No regular contacts with dentist",null,null,null,null,null,null,null,null,null,null,4,"Disaggregated by age group (15+, 15-64, 65+), by sex, by educational level (ISCED class 0-2, 3-4, 5-6) and income level.\nPercentage of population aged 3+ reporting no regular contacts with dentist: i) at least at 2 contacts on 2 different years over a three year period; ii) without a dental visit in the past year. ","s","Consolidated",3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",62,"Percent of adults without a dental visit in the past year","Percent of adults who did not visit a dentist, or dental clinic within the past year.",null,null,null,"2012 and 2014 Behavioral Risk Factor Surveillance System (NCCDPHP, BRFSS 2012, 2014).",null,null,null,null,6,4,"Percent of adults who did not visit a dentist, or dental clinic within the past year.","c","CWF State Scorecard",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",62,"Enrolment with oral health services","nA",null,"‘Keeping children out of the hospital’.",null,null,null,null,null,null,"1.10.",4,null,"c","MoH New Zealand 2016",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",63,"Rates of inpatient admissions and outpatient contacts",null,null,"Access to health care services: utilization of health care services",null,null,null,null,null,null,null,4,null,"c","Estonia HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",64,"Access to and utilisation of Youth One Stop Shop and school-based health services","nA",null,"‘Young people make good choices’",null,null,null,null,null,null,"6.2.",4,null,"c","MoH New Zealand 2016",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",65,"Patients Admitted Through the Emergency Department",null,null,"Facility Characteristics",null,"·      Canadian Institute for Health Information",null,null,null,null,null,4,null,"c","CIHI In Depth (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",67,"Ambulatory surgery: Share of cataract surgeries carried out as ambulatory cases","Share of cataract surgery and tonsillectomies carried out as ambulatory cases",null,null,null,null,null,null,null,null,null,4,null,"c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",67,"Cataract operations per 100 000 age 65+","Total number of procedures divided by 100 000's of pop. ≥ 65 years",null,null,null,"OECD Health Data 2014, WHO HfA database, WHO Prevention of Blindness and Visual Impairment Programme, European Community Health Indicators, national data",null,null,null,null,"4.2.",4,null,"c","EHCI 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",68,"Knee Replacement ","Primary knee replacements per 10,000 inhabitants aged 45 years and older. ","Numerator: Admissions of patients aged 45 and older, undergoing primary knee replacement. Fractures and accidents are excluded.\nDenominator: Population aged 45 and older. ","Osteoarthritis (OA) is a prevalent condition associated with ageing. The main symptoms are pain, stiffness and functional limitation of daily life activities.\n\nWhile drug therapy is usually effective in controlling symptoms, knee replacement (total knee arthroplasty) is an effective and less risky alternative in cases of severe pain and functional impairment.\n\nEvidence indicates consistently high systematic variation in knee replacement utilisation. This finding is likely explained by differences in doctors´ opinions on the relative benefits of the procedure and their propensity to indicate surgery as well as differences in available payment schemes.\n\nWithin ECHO framework, once differences in age and sex across areas are discarded as an alternative explanation, high rates of knee replacement are considered an indicator of overexposure. Given evidence suggesting that less affluent areas are underserved, low rates of knee replacement may indicate underexposure. ",null,"http://www.echo-health.eu/handbook/ORT_KRPL.html",null,null,null,null,"OC4",4,null,"c","ECHO",null,0,1]
["A","ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",68,"Percutaneous Coronary Intervention (PCI) ","All PCI procedures per 10,000 inhabitants aged 40 and older. ","Numerator: PCI procedures performed in patients aged 40 and older.\nDenominator: Population aged 40 and older. ","Percutaneous coronary intervention (PCI) is an effective and less invasive alternative in the treatment of coronary ischaemic disease (CID), including the first hours of an AMI, generally superseding any other alternative.\n\nVariation in PCI rates at the population level should be minimal, and comparable to that observed for CID or AMI. Accordingly, high PCI rates are expected in areas with a high CID burden, while low rates are expected in areas with lower CID burdens. However, evidence has shown a poor correlation between CID and PCI rates, and moderate to high systematic variation in PCI rates.\n\nUnder the ECHO framework, once differences in age, sex, burden of disease, or socioeconomic status across areas are ruled out as an alternative explanation, PCI rates are considered a potential indicator of uneven access to effective care (in areas with lower rates) or of overexposure to PCI (in areas with higher rates). ",null,"http://www.echo-health.eu/handbook/CV_PCI.html",null,null,null,null,"CV3",4,null,"c","ECHO",null,0,1]
["A","ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",68,"Adenoidectomy and/or tonsillectomy","Tonsillectomy and/or adenoidectomy per 10,000 children aged 14 or younger.","Numerator: Discharges including a tonsillectomy and/or adenoidectomy, in patients aged 14 or younger.\nDenominator: Population aged 14 and younger. ","Tonsillectomies and adenoidectomies are frequently performed in children. Evidence of the effectiveness of these procedures is limited to very specific indications: obstructive apnoea, recurrent otitis media and ventilation-tube insertion, chronic or recurrent sinusitis with failure of the appropriate antibiotic therapy and severe acute recurrent tonsillitis. However, the vast majority of children can benefit from conservative treatment and/or antibiotic therapy.\n\nUnexpectedly high rates and dramatic variations across geographic areas, along with unlikely differences in child epidemiology across areas, point to differences in physician practice style and doctors’ preferences as the most important underlying factors.\n\nWithin the ECHO framework, both procedures are considered of lower value since they are essentially ineffective in the vast majority of children, but are widely used. ",null,"http://www.echo-health.eu/handbook/LVC_ADETON.html",null,null,null,null,"LVC11",4,"Tonsillectomy and/or adenoidectomy per 10,000 children aged 14 or younger.\nNumerator: Discharges including a tonsillectomy and/or adenoidectomy, in patients aged 14 or younger.\nDenominator: Population aged 14 and younger. ","c","ECHO",null,0,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",68,"Hip replacement surgery","Hip replacement is a surgical procedure in which the hip joint is replaced by a prosthetic implant. It is gen- erally conducted to relieve arthritis pain or treat severe physical joint damage following hip fracture.\nKnee replacement is a surgical procedure to replace the weight-bearing surfaces of the knee joint in order to relieve the pain and disability of osteoarthritis. It may also be performed for other knee diseases such as rheumatoid arthritis.",null,null,null,null,null,null,null,null,null,4,"Per 100 000 population","c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",68,"Variation in knee arthroscopy and in cardiac catheterisation (coefficient of variation measured at level of province)","nA",null,"Efficiency of care: Illustrative indications of inefficiency - Unexplained geographic variation",null,null,null,null,null,null,"nA",4,"nA","c","Belgium - Vrijens et al. (2015)",null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",68,"Cholecystectomy  in ordinary admission: proportion of laparoscopic cholecystectomy",null,null,"mortality-procedures",null,null,null,null,null,null,null,4,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",68,"Selected procedures","Selected procedures per 10,000 population (finished consultant episodes, FCE)",null,null,null,null,null,null,null,null,null,4,null,"c","UK - Bevan et al. (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",69,"Caesarean section in low risk pregnancy & delivery","C-section in low-risk pregnancies or deliveries per 10,000 women aged 15 to 55. ","Numerator: Women aged 15 to 55 undergoing a caesarean section without evidence of pregnancy or delivery risks, inclunding multiple gestation, abnormality of pelvic organs, pre-eclampsia, eclampsia, antepartum haemorrhage, premature birth, AIDS infection, abnormal foetal presentation, dystocia, prolonged labour, obstructed labour.\nDenominator: Female population aged 15 to 55. ","C-section is an effective and safe procedure, with specific indications aimed at reducing foetal and maternal risks. Although, some frequent adverse events are associated with caesarean sections, these are outweighed by the benefits of an appropriate indication. However, benefits are unlikely to outweigh risks when the procedure is performed in low-risk deliveries.\n\nWithin the ECHO framework, C-sections in cases of low-risk pregnancy and delivery are considered as a proxy of low-value obstetric care, as in these scenarios a conservative approach (vaginal delivery) is preferable in terms of benefit-risk balance. ",null,"http://www.echo-health.eu/handbook/LVC_CSELRD.html",null,null,null,null,"LVC6",4,null,"c","ECHO",null,0,1]
["A","ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",69,"Percentage caesarean section in low obstetric risk over total deliveries ","C-section in low-risk pregnancies or deliveries per 100 deliveries. ","Numerator: Women aged 15 to 55 undergoing a caesarean section without evidence of pregnancy or delivery risks, inclunding multiple gestation, abnormality of pelvic organs, pre-eclampsia, eclampsia, antepartum haemorrhage, premature birth, AIDS infection, abnormal foetal presentation, dystocia, prolonged labour, obstructed labour.\nDenominator: Deliveries female population aged 15 to 55. ","C-section is an effective and safe procedure, with specific indications aimed at reducing foetal and maternal risks. Although, some frequent adverse events are associated with caesarean sections, these are outweighed by the benefits of an appropriate indication. However, benefits are unlikely to outweigh risks when the procedure is performed in low-risk deliveries.\n\nWithin the ECHO framework, C-sections in cases of low-risk pregnancy and delivery are considered as a proxy of low-value obstetric care, as in these scenarios a conservative approach (vaginal delivery) is preferable in terms of benefit-risk balance. ",null,"http://www.echo-health.eu/handbook/LVC_CSEOLRD.html",null,null,null,null,"LVC8",4,null,"c","ECHO",null,0,1]
["D","CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",69,"Low-Risk Caesarean Sections","This indicator examines the risk-adjusted rate of deliveries via C-section among singleton term cephalic pregnancies for women without placenta previa or previous C-section. The indicator is expressed as the rate of C-sections per 100 deliveries.","This indicator examines the risk-adjusted rate of deliveries via C-section among singleton term cephalic pregnancies for women without placenta previa or previous C-section. The indicator is expressed as the rate of C-sections per 100 deliveries.","Unnecessary C-section delivery increases maternal morbidity and mortality and is associated with higher costs. This indicator looks at the rate of deliveries via C-section as a measure of appropriateness of care. This indicator is limited to pregnancies considered to be at low risk for C-section.\nLower is better. It means that there were fewer C-sections among low-risk pregnancies. Lower rates may indicate more appropriate as well as more efficient care.",null,"·      Canadian Institute for Health Information",null,null,"http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=5111842",null,null,4,null,"c","CIHI In Depth (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",69,"Percentage of emergency caesarean deliveries in the nulliparous term singleton vertex group",null,null,"Antenatal, perinatal and postpartum care - Quality: secondary and tertiary obstetric care",null,null,null,null,null,null,"10.4.",4,null,"c","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Ann Roinn Sláinte Department of Health. (2015). NHQRS-National Healthcare Quality Reporting System - First annual report 2014. Retrieved from Dublin: http://health.gov.ie/wp-content/uploads/2015/03/NHQRS-Annual-Report-2014.pdf",69,"Caesarean Section Rate","The rate of caesarean section deliveries per 100 live births.","Data are based on the caesarean section rate per 100 live births for total maternities.","3. Helping people when they are being treated and cared for in our health services",null,"National Perinatal Reporting System (NPRS)",null,null,null,null,null,4,null,"c","Ireland - NHQSR (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",70,"Percentage of induced deliveries in the nulliparous term singleton vertex group","The modes of delivery in the so-called nulliparous term singleton vertex (NTSV) or low-risk group. Deliveries in this low-risk group have the following characteristics: it is a first-time pregnancy (nulliparous), it is a singleton pregnancy, the baby is full-term (≥ 37 weeks) and in a head-down position. In the international literature the term ‘nulliparous term singleton vertex’ (NTSV) is often used. These low-risk women are expected to need fewer interventions, such as induced labour, assisted delivery, and caesarean sections. However, some risks can be higher for women who give birth to their first child (Gardosi, 2013).",null,"Antenatal, perinatal and postpartum care - Quality: secondary and tertiary obstetric care",null,null,null,null,null,null,"10.2.",4,null,"c","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",71,"Abortion rates","# per 1000 live births; low = Good, Very low=purple",null,null,null,"WHO Health for All Database Sept 2015, United Nations Information on Abortion",null,null,null,null,"3.7.",4,null,"c","EHCI 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D, E","Consolidated",72,"GPs using an electronic medical file",null,null,null,null,null,null,null,null,null,null,4,"Percentage of GP practices using electronic patient records for diagnostic data","s","Consolidated",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","Consolidated",73,"ePrescriptions transacted on line",null,null,null,null,null,null,null,null,null,null,4,"Number of completed ePrescription transactions during a calendar year, divided by the total number of residents","s","Consolidated",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0]
["D","IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",null,"Population spending burden: Total cost of care",null,null,"total cost of care provides actionable information about the state of spending at a health care institution, as well as potential areas of waste or misallocation of resources",null,null,null,null,null,null,"nA",5,"To be developed","c","IOM 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",null,"Total Health Expenditures (% financed by public sector)",null,null,null,null,null,null,null,null,null,"S-3",5,null,"c","Belgium - Vrijens et al. (2015)",null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
["E","Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",null,"Government expenditure on health","Government expenditure on health, per head",null,null,null,null,null,null,null,null,null,5,null,"c","UK - Bevan et al. (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",75,"Total health care expenditure by public sector, as percentage of GDP",null,null,null,null,null,null,null,null,null,"77 (A)",5,"Total health care expenditure as % of GDP, general government (HF1).","c","ECHI",null,1]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",75,"Total health care expenditure by all financing agents (total), in millions of PPS ",null,null,null,null,null,null,null,null,null,"77 (B)",5,"Total national health expenditure for total, public, and private sectors expressed in millions of Purchasing Power Standard (PPS).","c","ECHI",null,1]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",75,"Total health care expenditure by private sector, in millions of PPS",null,null,null,null,null,null,null,null,null,"77 (B)",5,null,"c","ECHI",null,1]
["A","EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",75,"% of Public Health Expenditure related to GDP",null,null,null,null,"Eurostat",null,null,null,null,"nA",5,null,"c","EXPH 2014",null,0,0,0,0,0,0,0,0,0,0,1]
["C","WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",75,"Total expenditure on health (as a percentage of GDP)","Total health expenditure represents the sum of general government and private expenditure on health. Estimates for this indicator are produced by WHO jointly with OECD and the World Bank. The estimates are, to the greatest extent possible, based on the NHA classification (see the 2006 World health reportj for details). The  sources  include  both  nationally reported  data and estimates from international organizations such as the International Monetary Fund, OECD, UN and World Bank. They may therefore differ somewhat from official national statistics reported by countries.",null,"This is a core indicator of health financing systems. It contributes to the understanding of total expenditure on health relative to the beneficiary population, adjusted by purchasing power parity (PPP) to facilitate international comparisons.",null,"HFA (53)","nA",null,null,null,17,5,null,"c","WHO Health 2020",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",75,"Government spending on health as a percentage of GDP",null,null,"Fair financing, financial protection and coverage: health system expenditures",null,null,null,null,null,null,null,5,null,"c","Estonia HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",75,"Sources of health care financing as a percentage of total health care expenditures",null,null,"Fair financing, financial protection and coverage: fairness of health system financing",null,null,null,null,null,null,null,5,null,"c","Estonia HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",75,"Percentage of Dutch gross domestic product spent on health care",null,null,"Health expenditure and efficiency: expenditure",null,null,null,null,null,null,134,5,null,"c","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",76,"Current health care expenditure by public sector, as percentage of GDP","They define the Current Health care Expenditure (CHE) as the sum (HC1-9) of expenditure on activities of services of curative care (HC1), services of rehabilitative care (HC2), services of long-term nursing care (HC3), ancillary services to health care (HC4), medical goods dispensed to out-patients (HC5), prevention and public health services (HC6), health administration and health insurance (HC7) and other care not specified by kind (HC9).",null,null,null,null,null,null,null,null,"77 (A)",5,"Current health care expenditure as % of GDP, general government (HF1).","c","ECHI",null,1]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",76,"Current health care expenditure by public sector, in millions of PPS",null,null,null,null,null,null,null,null,null,"77 (B)",5,null,"c","ECHI",null,1]
["A","Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",76,"Public CHE in per capita PPS","As definition 1, measured in purchasing power standard per capita",null,null,null,null,null,null,null,null,3,5,null,"c","Eckfeldt et al. 2014 (DG-ECFIN)",null,0,null,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",76,"Annual average growth rate in per capita health expenditure, real terms",null,null,null,null,null,null,null,null,null,null,5,null,"c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",76,"Total private expenditure as percent of total health care spending",null,null,"Equity in finance",null,null,null,null,null,null,null,5,null,"c","Portugal HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",77,"Health expenditure as share of total government expenditure","Data refer to total health expenditure (= current health expenditure plus capital formation).",null,null,null,null,null,null,null,null,5,5,"Data refer to total health expenditure (= current health expenditure plus capital formation).","c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["C","World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",77,"Government expenditure on health as % of total government expenditure",null,null,null,null,null,null,null,null,null,35,5,null,"c","WHO Core Health 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",77,"General Government Health Expenditure as a % of Total Government Expenditure and % of Total Health Expenditure","General Government Health Expenditure as a percentage of Total Health Expenditure\n‘Public health expenditure consists of recurrent and capital spending from government (central and local) budgets, external borrowings and grants (including donations from international agencies and nongovernmental organizations), and social (or compulsory) health insurance funds. Total health expenditure is the sum of public and private health expenditure. It covers the provision of health services (preventive and curative), family planning activities, nutrition activities, and emergency aid designated for health but does not include provision of water and sanitation’.27\nPublic-sector expenditure on health as % of GDP, WHO estimates\nPublic sector (or general government) expenditure on health is the sum of outlays for health maintenance, restoration or enhancement paid for in cash or in kind by government entities, such as the Ministry of Health, other ministries, parastatal organizations, social security agencies, (without double-counting the government transfers to social security and to extra-budgetary funds). Includes transfer payments to households to offset medical care costs and extra-budgetary funds to finance health. The revenue base of these entities may comprise multiple sources, including external funds. Estimates for this indicator were produced by WHO. The estimates are, to the greatest extent possible, based on the National Health Accounts classification (see the World Health Report 2006 for details). The sources include both nationally reported data and estimates from international organisations like IMF, WB, UN and OECD. Therefore they may somewhat differ from official national statistics reported by countries.",null,null,null,null,null,null,null,null,36,5,null,"c","Malta - Grech et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",78,"Expenditure on health by type of financing as % of current health expenditure","The financing of health care can be analysed from the point of view of the sources of funding (households, employers and the state), financing schemes (e.g. compulsory or voluntary insurance) and financing agents (organisations managing the financing schemes). Here “financing” is used in the sense of financing schemes as defined in the System of Health Accounts (OECD, 2000; OECD, Eurostat and WHO, 2011). Public financing includes expenditure by the general government and social security funds. Private financ- ing covers households’ out-of-pocket payments, pri- vate health insurance and other private funds (NGOs and private corporations). Out-of-pocket payments are expenditures borne directly by patients. They include cost-sharing and, in certain countries, estima- tions of informal payments to health care providers.\nTotal government expenditure is used as defined in the System of National Accounts and includes as major components intermediate consumption, com- pensation of employees, interest, social benefits, social transfers in kind, subsidies, other current expenditure and capital expenditure payable by cen- tral, regional and local governments as well as social security funds.",null,null,null,null,null,null,null,null,4,5,"Expenditure on health by type of financing (public = government, social security; private = out-of-pocket, insurance; other) as % of current health expenditure","c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",80,"Publicly funded health care expenditure per employed person",null,null,"Health expenditure and efficiency: expenditure",null,null,null,null,null,null,136,5,"Public health expenditures in relation to the number of people in employment (per national labour force). Numbers of employed persons according to the OECD definition of total civilian employment (not adjusted for international variations in working hours)","s","Netherlands - van den Berg et al. (2015)",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
["A","EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",null,"Current health care expenditures (CHE) by function as % of current expenditure on health care",null,null,null,null,null,null,null,null,null,null,5,"Current health expenditure comprises personal health care (curative care, rehabilitative care, long-term care, ancillary services and medical goods) and collective services (prevention and public health services as well as health administration).\n[inpatient care, outpatient care, long-term care, medical goods, collective services]\nCurative, rehabilitative and long-term care can also be classified by mode of production (inpatient, day care, outpatient and home care).","c","JAF Health (DG EMPL)",null,0,0,0,0,0,0,0,0,0,0,0,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",null,"Growth rates of health spending for selected functions per capita",null,null,null,null,null,null,null,null,null,null,5,"Average annual growth rates in real terms, %","c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",83,"Expenditure on curative care as % of current expenditure on health care","Curative care' means the health care services during which the principal intent is to relieve symptoms or to reduce the severity of an illness or injury, or to protect against its exacerbation or complication that could threaten life or normal function.",null,null,null,"Eurostat (Joint questionnaire with OECD/WHO)",null,null,null,null,"R-4",5,null,"c","JAF Health (DG EMPL)",null,0,0,0,0,0,0,0,0,0,0,0,1]
["A","European Commission (2014). Comparative efficiency of health systems, corrected for selected lifestyle factors. Retrieved from http://ec.europa.eu/health/systems_performance_assessment/docs/2015_maceli_report_en.pdf",83,"expenditures on curative care","Curative care is defined as the sum of the SHA categories hospital care (HP.1), ambulatory care (HP.3) and outpatient medication (HP.4). These provider groups constitute around 80% of total health spending (on average across countries). Only the OECD and Eurostat provide detailed information on health spending by type of provider.",null,null,null,null,null,null,null,null,null,5,null,"c","EC-MACELI 2014",null,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",84,"Total long-term care expenditure as % of GDP","Expenditure on long-term nursing care (category HC.3 in SHA 2011) plus expenditure with administration and provision of social services in kind to assist living with disease and impairment (category HC.R.1 in SHA 2011) as a % of GDP.",null,null,null,"Eurostat (Joint questionnaire with OECD/WHO)",null,null,null,null,"R-3",5,"Expenditure on long-term nursing care (category HC.3 in SHA 2011) plus expenditure with administration and provision of social services in kind to assist living with disease and impairment (category HC.R.1 in SHA 2011) as a % of GDP.","c","JAF Health (DG EMPL)",null,0,0,0,0,0,0,0,0,0,0,0,1]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",84,"Total AWBZ expenditure in 2013 by sector",null,null,"Living with long-term illness or functional limitations - Costs",null,null,null,null,null,null,100,5,null,"c","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",85,"Mean AWBZ expenditure per insured person per region",null,null,"Living with long-term illness or functional limitations - Costs",null,null,null,null,null,null,104,5,null,"ms","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",86,"Public expenditures on outpatient pharmaceutical as % of GDP","Public outpatient pharmaceutical as % of public CHE, based on pharmaceuticals and other medical non-durables (HC.51) dispensed to out-patients. Data on pharmaceutical spending is not available for the inpatient sector for most of the EU Member States. In some countries (e.g. BG, CY, HU), outpatient pharmaceuticals may be also part of hospital expenditure.",null,null,null,null,null,null,null,null,22,5,null,"c","Eckfeldt et al. 2014 (DG-ECFIN)",null,0,null,1]
["A","Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",86,"Public per capita spending on outpatient pharmaceuticals in PPS","As definition 22, measured in purchasing power standard per capita.",null,null,null,null,null,null,null,null,25,5,null,"c","Eckfeldt et al. 2014 (DG-ECFIN)",null,0,null,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",86,"Expenditure on pharmaceuticals per capita","Pharmaceutical expenditure covers spending on prescription medicines and self-medication, often referred to as over-the-counter products. In some countries, other medical non-durable goods are also included. Pharmaceuticals consumed in hospitals and other health care settings are excluded. Final expendi- ture on pharmaceuticals includes wholesale and retail margins and value-added tax. It also includes phar- macists’ remuneration when the latter is separate from the price of medicines. Total pharmaceutical spending refers in most countries to “net” spending,\ni.e. adjusted for possible rebates payable by manufac- turers, wholesalers or pharmacies.",null,null,null,null,null,null,null,null,null,5,null,"c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",86,"Average annual growth in public pharmaceutical expenditure per capita, in real terms","Health services refer to inpatient and outpatient care (including day cases), long-term health care and auxiliary services.",null,null,null,null,null,null,null,null,null,5,null,"c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",86,"Adjusted Drug Cost Per Capita","Cost of drugs covered by the pharmaceutical benefits scheme per capita",null,null,null,null,null,null,null,null,"36B",5,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",86,"Expenditure on pharmaceuticals per capita","Pharmaceutical expenditure covers spending on pre- scription medicines and self-medication, often referred to as over-.the-counter products. In some countries, other medical non-durable goods are also included. Pharmaceuticals consumed in hospitals and other health care settings are excluded. Final expendi- ture on pharmaceuticals includes wholesale and retail margins and value-added tax. It also includes phar- macists’ remuneration when the latter is separate from the price of medicines. Total pharmaceutical spending refers in most countries to “net” spending,\ni.e. adjusted for possible rebates payable by manufac- turers, wholesalers or pharmacies.",null,null,null,null,null,null,null,null,null,5,null,"c","UK - Berry (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",87,"Per capita percentage of health expenditure devoted to preventive care",null,null,"Staying health - Costs",null,null,null,null,null,null,31,5,null,"c","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",88,"Expenditure on health administration and health insurance as % of public CHE","As definition 28, measured as % of public CHE.",null,null,null,null,null,null,null,null,29,5,null,"c","Eckfeldt et al. 2014 (DG-ECFIN)",null,0,null,1]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",88,"Administrative burdens in health care in the Netherlands and internationally",null,null,"Health expenditure and efficiency: efficiency",null,null,null,null,null,null,139,5,null,"c","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",88,"Determinants of changes in health expenditure in terms of price and volume","Average percentage growth in health expenditure in price and volume according to the Health and Social Care Accounts definition (source: Slobbe et al., 2011); the volume figures are broken down further by demographic (mainly ageing) and other factors. ",null,"Health expenditure and efficiency: expenditure",null,null,null,null,null,null,132,5,"Average percentage growth in health expenditure in price and volume; the volume figures are broken down further by demographic (mainly ageing) and other factors (including epidemiological and technological) to shed light on determinants of changes. ","e/ms","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","EC, Europe 2020 (2015) European Semester Thematic Fiche: Health and Health Systems, from http://ec.europa.eu/europe2020/pdf/themes/2015/health-and-health-systems.pdf",91,"Public hospital expenditure in PPS per capita",null,null,null,null,null,null,null,null,null,"nA",5,"General government and social security funds (HF.1) expenditure on hospitals (HP.1), including general hospitals (HP.11), mental health and substance abuse hospitals (HP.12) and other specialty hospitals (HP.13), measured in PPS","c","EU Semester thematic fiche Health 2015 (DG-ECFIN)",null,0,null,null,null,1]
["A, E","Consolidated",92,"Public expenditure for ambulatory services",null,null,null,null,null,null,null,null,null,null,5,"General government and social security funds (HF.1) expenditure on providers of ambulatory health care (HP.3) including offices of physicians (HP.31), dentists (HP.32), other health practitioners (HP.33), out-patient care centres (HP.34), medical and diagnostic laboratories (HP.35), providers of home health care services (HP.36) and other providers of ambulatory health care (HP.39), measured according to following units: as % of GDP, as % of public Current Health Expenditure, in PPS per capita","s","Consolidated",4,0,0,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0]
["E","World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",92,"Percent of health care spending devoted to primary care",null,null,"Patterns in health system spending and financial sustainability",null,null,null,null,null,null,null,5,null,"c","Portugal HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",93,"Share of hospital inpatient expenditures by main diagnostic category","Expenditure by disease and age allocates current health expenditure by patient characteristics. Guide- lines developed propose disease categories according to ICD-10. To ensure comparability between countries, expenditures are also linked to the System of Health Accounts (SHA) framework and a common methodol- ogy is proposed advocating primarily a top-down allo- cation of expenditures based on principal diagnosis. The main comparability issues relates to the treat- ment of non-allocated and non-disease-specific expenditures. In the former case this is due to data limitations (often in outpatient and pharmaceutical expenditure) and in the latter case mainly prevention and administration expenditure.\nCirculatory diseases; Cancer; Injury, poisoning and other consequences of external causes; Mental and behavioural disorders; Respiratory system; Diseases of musculoskeletal system; Digestive diseases and connective tissue",null,null,null,null,null,null,null,null,7,5,"Circulatory diseases; Cancer; Injury, poisoning and other consequences of external causes; Mental and behavioural disorders; Respiratory system; Diseases of musculoskeletal system; Digestive diseases and connective tissue","c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",93,"Total expenditure for hospital obstetric care",null,null,"Antenatal, perinatal and postpartum care - Costs",null,null,null,null,null,null,21,5,"The analyses use data from Vektis and the DBC Information System (DIS) and reflect expenses for care insured under the basic package. Funding of secondary obstetric care is based on diagnosis-treatment combinations (DBCs in Dutch) Gynaecology. Paediatrics and\nanaesthesiology were not included in the analyses.","c","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",93,"Cost Per Inpatient Care Event for Knee Arthroplasty",null,null,null,null,null,null,null,null,null,78,5,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",94,"Expenditure per hospital discharge for two diagnostic categories (circulatory disease, cancer)",null,null,null,null,null,null,null,null,null,8,5,null,"c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",94,"Cost of a Standard Hospital Stay (cost per weighted case (CPWC))","This indicator measures the ratio of a hospital's total acute inpatient care expenses to the number of acute inpatient weighted cases related to the inpatients for which the hospital provided care.","This indicator divides a hospital’s total inpatient expenses by the number of hospitalizations it sees in a year. The number is adjusted for some differences in the types of patients a hospital sees to make it more comparable with other hospitals. The province of Quebec collects financial and statistical data differently than the rest of Canada does. Techniques have been used to enable the use of data from Quebec to calculate comparable indicators.","This measure looks at the cost of a standard hospital stay after adjusting for differences in the types of patients a hospital sees. It gives a sense of how efficiently acute care hospital services are provided, though it does not tell us how well those services are delivered.\nA higher cost means that a hospital or region spent relatively more per patient stay. When comparing hospital costs, it is important to consider the type of hospital. For example, inpatient care at teaching hospitals is generally more expensive, because of the extra people and time it takes to train new doctors and nurses, as well as extra costs related to research activities.",null,"·      Canadian Institute for Health Information",null,null,"http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=1114237",null,null,5,null,"c","CIHI In Depth (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",96,"Sum of DRG cost weights/points (in thousands)",null,null,"technical efficiency: a better measure of outputs in acute inpatient care is the total number of DRG points produced by hospitals. The analysis of the time series of the sum of DRG points should also consider that the point value attached to a DRG could change due to the changes in technology and due to “re-standardization” applied to adjust for DRG creep which is the inflation of case severity reported by hospitals.",null,null,null,null,null,null,null,5,"nA","c","Hungary HSPA (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",96,"Cost Per DRG Point Produced","Cost per DRG point – specialised medical care",null,"One problem that arises when only costs per inpatient care event are included is that they must be uniformly allocated between outpatient and inpatient care. Otherwise such accounting differences affect productivity estimates. The remainder of the report presents hospitals per county rather than ranking them by outcome.",null,null,null,null,null,null,38,5,"Cost per DRG point – specialised medical care","c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",97,"Cost Per Contact with the Primary Care System","Cost per weighted primary care event in primary care, Home health care and drugs covered by the pharmaceutical benefits scheme are excluded.","Cost is defined as net cost. \nWeighted outpatient contact includes the number of visits (clinic, home, etc.) and phone calls (only one if they take the place of a visit) with a doctor or other caregiver. The contacts are aggregated based on average resource consumption.\nOutpatient contacts are weighted according to place (phone or clinic), the type of\ncaregiver involved, and the category for which they are reported (such as occupational\ntherapists or general practitioners). The various types of visits and phone calls\nare weighted according to average resource consumption. Contacts with doctors and\nother caregivers are weighted similarly. A home visit corresponds to two visits at a\nclinic, and a phone call corresponds to 1/3 of a visit at a clinic. A visit with another\nhealthcare professional corresponds to 40 per cent of a visit with a doctor. The outpatient\ncontacts are then weighted according to the average cost per contact for each\ncategory (general practitioners, nurses, etc.).",null,null,null,null,null,null,null,39,5,"Cost per weighted primary care event in primary care, Home health care and drugs covered by the pharmaceutical benefits scheme are excluded.","s","Sweden - Socialstyrelsen. (2013)",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",null,"Degree of regressivity of financing healthcare (Ratio regressive receipts / progressive receipts)","Since 2005, the financing of the Belgian social security system is based on the principle of pooling of receipts (the so-called ‘financial global management’). That means that all financial resources are globalized and then transferred to the different branches of the social security in function of their respective financial needs. The financing of the healthcare system is also composed of some ‘own receipts’. We consider here these two parts of the financing of the health care system in order to characterize the financing in terms of progressivity.","Three ratios are calculated: respectively progressive, proportional and regressive receipts divided by the total receipts (excluded diverse receipts). The 'own receipts' of the health system sector are well defined (personal social contributions, alternative financing and allocated receipts). The transferred receipts from the ‘global management’ of the two social security systems (employed workers and self-employed) are no longer specific to the health care branch. Therefore, we have calculated the ‘transferred social contributions’, the ‘transferred allocated receipts’ and the ‘transferred subsidies’ using as 'repartition key’ the proportion of these three sources of financing in the total receipts of social security in the two systems.",null,null,null,null,null,null,null,"EQ-3",5,null,"ms","Belgium - Vrijens et al. (2015)",null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
["A","EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",98,"Vaccination coverage for children","Percentage of infants who have been fully vaccinated against important infectious childhood diseases (reaching their 1st birthday in the given calendar year against pertussis, diphtheria, tetanus, and poliomyelitis; reaching their 2nd birthday in the given calendar year against measles, mumps and rubella).",null,null,null,"WHO (HfA)",null,null,null,null,"Q-7",6,null,"c","JAF Health (DG EMPL)",null,0,0,0,0,0,0,0,0,0,0,0,1]
["C","WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",98,"Percentage of children vaccinated against measles (1 dose by second birthday), polio (3 doses by first birthday) and rubella (1 dose by second birthday)","The percentage of children vaccinated against measles is the proportion of children reaching their second birthday who have been fully vaccinated against measles (1 dose).\nThe percentage of infants vaccinated against polio is the proportion of infants reaching their first birthday in the given calendar year who have been fully vaccinated against polio (3 doses).\nThe percentage of infants vaccinated against rubella is the proportion of children reaching their second birthday in the given calendar year who have been fully vaccinated against rubella (1 dose).\nData for all three are reported annually to and available from the Communicable Diseases Unit at the WHO Regional Office for Europe.",null,"Information on immunization coverage is used for a variety of purposes:\n to  monitor  the  performance  of  immunization  services  at  the  local, national and international levels;\n to guide accelerated disease-control initiatives such as polio eradication, measles control and neonatal tetanus elimination;\n to identify areas of weak system performance that may require extra resources and focused attention;\n as a consideration when deciding whether to introduce a new vaccine.\nAn accurate historical representation of immunization coverage is important to assess trends in immunization system performance, to better establish the relationship between immunization service delivery and disease occurrence, and to provide a framework for setting future goals for coverage achievement.",null,"HFA","type of vaccine",null,null,null,5,6,null,"c","WHO Health 2020",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",98,"Immunisations","nA",null,"‘Keeping children out of the hospital’.",null,null,null,null,null,null,"1.9.",6,null,"c","MoH New Zealand 2016",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",98,"Hepatitis B vaccination in children (%, 3th/4th dose)",null,null,null,null,null,null,null,null,null,"P-3",6,null,"c","Belgium - Vrijens et al. (2015)",null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
["E","Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",98,"Number of vaccine preventable diseases covered by the national vaccination programme","Number of vaccines on the national vaccination programme that prevent preventable diseases","Count of types of vaccines",null,null,null,null,null,null,null,32,6,"Number of vaccines on the national vaccination programme that prevent preventable diseases","c","Malta - Grech et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",98,"Childhood vaccination programme","Vaccination rates reflect the percentage of children that receives the respective vaccination in the recom- mended timeframe. The age of complete immunisation differs across countries due to different immunisation schedules. For those countries recommending the first dose of a vaccine after age one, the indicator is calculated as the proportion of children less than two years of age who have received that vaccine. Thus, these indicators are based on the actual policy in a given country.\nSome countries administer combination vaccines (e.g. DTP for diphtheria, tetanus and pertussis) while oth- ers administer the vaccinations separately. Some countries ascertain vaccinations based on surveys and others based on encounter data, which may influ- ence the results.",null,null,null,null,null,null,null,null,null,6,"i) against diphteria, tetanus and pertussis, children aged 1; \nii) against measles, children aged 1; \niii) against hepatitis B, children aged 1. ","c","UK - Berry (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Ann Roinn Sláinte Department of Health. (2015). NHQRS-National Healthcare Quality Reporting System - First annual report 2014. Retrieved from Dublin: http://health.gov.ie/wp-content/uploads/2015/03/NHQRS-Annual-Report-2014.pdf",98,"Immunisation rates for Meningitis C at 24 months","% of children 24 months of age who have received third dose of the Meningitis C vaccine","Numerator:\nNumber of children who have received 3 doses of the Meningitis C vaccination by their second birthday.\nDenominator:\nNumber of children who have reached their second birthday.","1. Helping people to stay healthy and well",null,"Health Protection Surveillance Centre",null,null,null,null,null,6,null,"c","Ireland - NHQSR (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",99,"HPV vaccination","National programme for teenage girls",null,null,null,"European Centre for Disease Prevention and Control. Introduction of HPV vaccines in EU countries – an update. Stockholm: ECDC; 2012. Seme et al.: Acta Dermatovenerologica APA 2013; 22:21-25. www.bag.admin.ch/themen/medizin/00682/00684/03853/",null,null,null,null,"5.6.",6,"National programme for teenage girls","c","EHCI 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",100,"Influenza vaccination for 65+ (total, by educational level gap between ISCED 0-2 and 5-6)","Proportion of elderly individuals reporting to have received one shot of influenza vaccine during the last 12 months.",null,null,null,"Eurostat (EHIS)",null,null,null,null,"Q-8",6,null,"c","JAF Health (DG EMPL)",null,0,0,0,0,0,0,0,0,0,0,0,1]
["D","CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",100,"Influenza Immunization for Seniors","This indicator examines the percentage of persons age 65 and older who reported that they had their last influenza immunization (flu shot) less than 1 year ago, compared with the total number of survey respondents age 65 and older.","This indicator examines the percentage of persons age 65 and older who reported that they had their last influenza immunization (flu shot) less than 1 year ago, compared with the total number of survey respondents age 65 and older.","It has been recognized for many years that people age 65 and older are at greater risk of serious complications from the flu than young, healthy adults. For this reason, seniors age 65 and older are advised to get the influenza vaccine each year. This indicator looks at how many people age 65 and older got the flu shot in the last year.\nHigher is better. It means that a higher percentage of seniors reported that they had their flu shot.",null,"·      Canadian Community Health Survey, Statistics Canada",null,null,"http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=5112002",null,null,6,null,"c","CIHI In Depth (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",100,"Influenza vaccine coverage in 65+","Proportion of elderly individuals reporting to have received one shot of influenza vaccine during the last 12 months","Percentage of persons aged 65 and older reporting to have been vaccinated against influenza (brand name of vaccine to be verified in each country) during the last 12 months, derived from EHIS questions PA.1, PA.2 and PA.3. PA.1: Have you ever been vaccinated against flu? 1. Yes / 2. No; PA.2: When were you last time vaccinated against flu? 1. Since the beginning of this year / 2. Last year /3. Before last year; PA.3: Can I just check, what month was that? Month (01-12).",null,null,null,null,null,null,null,50,6,null,"c","Malta - Grech et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",100,"Percentages of people in target groups of the National Influenza Prevention Programme that have received flu vaccinations",null,null,"Staying health - Quality",null,null,null,null,null,null,27,6,null,"c","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",101,"Breast cancer screening, proportion of women","Proportion of women (aged 50-69) reporting to have undergone a breast cancer screening test within the past two years.","Percentage of women aged 50-69 reporting to have had a breast examination by X-ray (i.e. mammography) within past 2 years, derived from EHIS questions PA.10 and PA.11: PA.10: Have you ever had a mammography, which is an X-ray of one or both of your breasts? Yes / No / Don’t know / Refusal; and PA.11: When was the last time you had a mammography (breast X-ray)? Within the past 12 months / More than 1 year, but not more than 2 years / More than 2 years, but not more than 3 years / Not within the past 3 years / Don’t know / Refusal. EHIS data will not be age standardized.","Breast cancer is the most frequent cancer among women; it represents 15 to 35% of all cancers diagnosed\nin Europe. Population-based cancer registries have consistently documented a continuing rise of incidence\nrates since the 1960s. Breast cancer screening programmes based on mammography and organised at the\npopulation level allow an effective decrease of breast cancer mortality by 30% among women aged 50 to 69\nyears. Information collected in population surveys can be directly used by the public health decision makers\nin order to possibly adapt the organisation of the prevention/screening programmes. The domain of breast\ncancer screening is a priority in European Community public health policy.",null,"Eurostat (EHIS) or national HIS","• Country\n• Calendar year\n• Age group (50-69)\n• Socio-economic status (educational level. ISCED 3 aggregated groups: 0-2; 3+4; 5+6)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_hc2&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_det_esms.htm","http://ec.europa.eu/health/indicators/docs/echi_58.pdf",58,6,"Proportion of women (aged 50-69) by educational level (ISCED class 0-2, 3-4, 5-6) reporting to have undergone a breast cancer screening test within the past two years.","c","ECHI",null,1]
["A","ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",101,"% of women aged 50-69, whose highest level of education is ISCED class 0, 1 or 2 (lower secondary), reporting a mammography in the past two years (screening)",null,null,"Equity of access to health care services",null,null,null,null,null,null,"nA",6,null,"c","ESIF for Health 2015",null,0,null,null,1]
["A","EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",101,"Cervical cancer screening (women)","Proportion of women (aged 20-69) reporting to have undergone a cervical cancer screening test within the past three years.",null,null,null,"Eurostat (Joint questionnaire with OECD/WHO)",null,null,null,null,"Q-5",6,null,"c","JAF Health (DG EMPL)",null,0,0,0,0,0,0,0,0,0,0,0,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",101,"Breast cancer screening","defined in indicator “Screening, survival and mortality for cervical cancer” ",null,null,null,null,null,null,null,null,null,6,"Mammography screening in women aged 50-69","c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",101,"Percent of adults age 50 and older received recommended screening and preventive care","Percent of adults age 50 and older who have received: sigmoidoscopy or colonoscopy in the last ten years or a fecal occult blood test in the last two years; a mammogram in the last two years (women only); a pap smear in the last three years (women only); and a flu shot in the past year and a pneumonia vaccine ever (age 65 and older only).",null,null,null,"2012 and 2014 Behavioral Risk Factor Surveillance System (NCCDPHP, BRFSS 2012, 2014).",null,null,null,null,8,6,"Percent of adults age 50 and older who have received: sigmoidoscopy or colonoscopy in the last ten years or a fecal occult blood test in the last two years; a mammogram in the last two years (women only); a pap smear in the last three years (women only); and a flu shot in the past year and a pneumonia vaccine ever (age 65 and older only).","c","CWF State Scorecard",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",101,"Breast cancer screening - organized programme (% women aged 50-69)",null,null,null,null,null,null,null,null,null,"P-7",6,null,"c","Belgium - Vrijens et al. (2015)",null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",101,"Percentages of people in target groups that take part in organised population screening schemes",null,null,"Staying health - Quality",null,null,null,null,null,null,23,6,null,"c","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",101,"Cervical Cancer Screening",null,null,null,null,null,null,null,null,null,10,6,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Ann Roinn Sláinte Department of Health. (2015). NHQRS-National Healthcare Quality Reporting System - First annual report 2014. Retrieved from Dublin: http://health.gov.ie/wp-content/uploads/2015/03/NHQRS-Annual-Report-2014.pdf",101,"Screening rate for breast cancer","Percentage uptake of breast screening by eligible women in the population","Numerator: the number of eligible women in the population who were invited in the reporting period and have had a satisfactory screening test\nDenominator: the number of eligible women invited in the reporting period","1. Helping people to stay healthy and well",null,"National Screening Service",null,null,null,null,null,6,null,"c","Ireland - NHQSR (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",102,"Proportion of pregnancies with an antenatal visit in the first trimester","Pregnant females who have a live birth who had at least 1 antenatal visit in the first 13 weeks of pregnancy. Presented as a percentage of all females who had a live birth.",null,null,null,null,null,null,null,null,null,6,null,"c","AIHW. (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",102,"Early registration with Lead Maternity Carer","nA",null,"‘Healthy start’",null,null,null,null,null,null,"5.4.",6,null,"e/ms","MoH New Zealand 2016",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",102,"Referral rate from Lead Maternity Carer to Well Child Tamariki Ora","nA",null,"‘Keeping children out of the hospital’.",null,null,null,null,null,null,"1.4.",6,null,"e/ms","MoH New Zealand 2016",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",104,"Unprotected sex - teenage abortions","Abortions among women under 19 years of age per 1 000 women 15–19 years old",null,"Lifestyle and living habits: sexual and reproductive health and rights",null,null,null,null,null,null,41,6,"Abortions among women under 19 years of age per 1 000 women 15–19 years old","s","Sweden - Socialstyrelsen. (2015)",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0]
["D, E","Consolidated",108,"Patients in primary care - discussing lifestyle and living habits",null,null,null,null,null,null,null,null,null,null,6,"Patients who answered “Yes” to the question: Did the doctor or another member of staff discuss any of the following living habits with you: tobacco, alcohol, exercise or eating habits?\nPatients in primary care - discussing lifestyle and living habits","s","Consolidated",3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",108,"Percentages of smokers visiting GPs who were given smoking cessation advice",null,null,"Staying health - Quality",null,null,null,null,null,null,28,6,null,"c","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",108,"Patients in primary care - discussing lifestyle and living habits","Patients who answered “Yes” to the question: Did the doctor or another member of sta¡ discuss any of the following living habits with you: tobacco, alcohol, exercise or eating habits?",null,"Lifestyle and living habits: patient-reported experiences",null,null,null,null,null,null,38,6,null,"c","Sweden - Socialstyrelsen. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",109,"Cardiovascular risk management","nA",null,"‘Prevention and early detection’",null,null,null,null,null,null,"4.2.",6,null,"c","MoH New Zealand 2016",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",111,"Hospital mortality (%)",null,null,"Crude indicators of quality in acute inpatient care",null,null,null,null,null,null,null,7,"Number of in-hospital deaths by the expected number of in-hospital deaths","c","Hungary HSPA (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",112,"30-day in-hospital case-fatality AMI and stroke","OECD indicator: admission-based AMI and ischemic stroke 30 day in-hospital (same hospital) mortality rate. This indicator is defined as the age-sex standardised percentage of people aged 45+ who die within 30 days of being admitted to a hospital in a specified year with principal diagnosis of: a) acute myocardial infarction (AMI) or b) ischemic stroke.","Numerator: the number of deaths in the same hospital that occurred within 30 days of hospital admission with a principal diagnosis of AMI / ischemic stroke in a specified year. Denominator: the number of patients admitted to a hospital with a principal diagnosis of AMI / ischemic stroke in a specified year, including same day admissions. AMI diagnostic codes: ICD-10: I21, I22; ICD-9: 410. Ischemic stroke diagnostic codes: ICD-10: I63-I64; ICD-9: 433, 434, 436. The indicator is age-sex standardised according to 2005 OECD population (45+). Therefore 5-year age specific numerators and denominators are needed, separate for men and women: 45-49, 50-54, .., 85+.","AMI and ischemic stroke are important causes of death in European countries. Also the burden of disease and health care costs are considerable. Adequate and timely treatment can improve survival. This indicator\nmeasures the quality of the treatment of acute exacerbations of chronic cardiovascular diseases in hospitals.",null,"OECD","• Calendar year\n• Country\n• Sex","http://stats.oecd.org/index.aspx?DataSetCode=HEALTH_STAT","http://stats.oecd.org/index.aspx?DataSetCode=HEALTH_STAT","http://ec.europa.eu/health/indicators/docs/echi_79.pdf",79,7,"Proportion of hospital in-patients with primary diagnosis of AMI/stroke who died within 30 days after the admission.","c","ECHI",null,1]
["A","ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",112,"In Hospital Case-Fatalities Rate after Coronary Artery Bypass Graft (CABG)","Case fatality rate per 1,000 CABG performed in patients aged 40 and older. ","Numerator: Deaths among cases meeting the inclusion and exclusion rules for the denominator.\nDenominator: Patients aged 40 years and older, with any procedure code for CABG. Obstetric discharges are excluded.","Coronary artery bypass graft (CABG) is a procedure that requires technical proficiency and the use of complex equipment. Technical errors may lead to clinically significant complications, such as myocardial infarction, stroke, and death. In-hospital case-fatality rates are widely accepted as an inpatient quality indicator, and are closely related to hospital and physician volume; the lower the volume the greater the risk.\n\nUnder the ECHO framework, CABG case-fatality rates beyond a defined threshold signal differences in hospital quality, after ruling out differences between patients. ",null,"http://www.echo-health.eu/handbook/CV_CABG_MORT.html",null,null,null,null,"CV7",7,null,"c","ECHO",null,0,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",112,"Thirty-day mortality after admission to hospital for ischemic stroke based on admission data","The case-fatality rate measures the percentage of people aged 45 and over who die within 30 days following admission to hospital for a specific acute condition. Rates based on admission data refer to the death occurred in the same hospital as the initial admission. Admissions resulting in a transfer were excluded for all countries except Australia, Belgium, Denmark, Hungary, Ireland, Israel, Japan, Luxembourg, Mexico, Netherlands, Slovak Republic and Sweden. This exclusion generally increases the rate compared with those countries which do not exclude these transfers. Rates based on patient data refer to the death occurred in the same hospital, a different hos- pital, or out of hospital.\nRates are age-sex standardised to the 2010 OECD population aged 45+ admitted to hospital for a specific acute condition such as AMI and ischemic stroke.",null,null,null,null,null,null,null,null,null,7,null,"c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",112,"Hospital Deaths Following Major Surgery","risk-adjusted rate of in-hospital deaths within 30 days of major surgery per 100 major surgical cases","This indicator examines the risk-adjusted rate of in-hospital deaths within 30 days of major surgery per 100 major surgical cases. The risk-adjusted rate is calculated by dividing the observed number of deaths by the expected number of deaths and multiplying by the Canadian average.","Although not all deaths are preventable, reporting on and comparing mortality rates for major surgical procedures may increase awareness of surgical safety and act as a signal for hospitals to investigate their processes of care. This indicator looks at the rate of in-hospital deaths within 30 days of major surgery per 100 major surgical cases.\nLower is better. It means that there were fewer in-hospital deaths due to all causes within 30 days of major surgery.",null,"·      Canadian Institute for Health Information",null,null,"http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=5111812",null,null,7,null,"c","CIHI In Depth (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",112,"Variation in 30-day mortality (%) in patients with acute myocardial infarction according to county of the hospital of first admission",null,null,"allocative efficiency",null,null,null,null,null,null,null,7,null,"c","Hungary HSPA (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",112,"Chronic kidney disease : 30-day mortality from admission",null,null,"mortality-procedures",null,null,null,null,null,null,null,7,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",112,"Myocardial Infarction (MI) without PCI: 30-day mortality",null,null,"mortality-procedures",null,null,null,null,null,"http://95.110.213.190/PNEed14_EN/risultati/protocolli/pro_3.pdf",null,7,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",112,"STEMI: 30-day crude mortality ","P\nroportion of \nmajor adverse ca\nrdiovascular and cerebrovascular\nevents\n(MACCE)\nwithin \n1 year\nafter \nthe hospitalization\nfor \nan\nepisode of AMI \nby admitting hospital or area of residence",null,"mortality-procedures",null,null,null,null,null,"http://95.110.213.190/PNEed14_EN/risultati/protocolli/pro_92.pdf",null,7,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",112,"Non-variceal upper gastrointestinal haemorrhage: 30-day mortality",null,null,"mortality-procedures",null,null,null,null,null,null,null,7,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",112,"Ischemic stroke: 30-day mortality",null,null,"mortality-procedures",null,null,null,null,null,null,null,7,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",112,"30-day in-hospital fatality rates following AMI and ischemic stroke",null,null,"Quality, safety and outcomes of health care services",null,null,null,null,null,null,null,7,null,"c","Portugal HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",112,"First-ever Stroke – 28-day and 90-day Case Fatality Rate","28-day case fatality rate for first-ever stroke. Both hospitalised patients and those who died without hospital care\nStroke is defined as all cases that include a diagnosis of cerebral haemorrhage, cerebral\ninfarction or unspecified stroke in the Cause of Death Register or the inpatient\nsection of the National Patient Register. Thus, both patients who were hospitalised\nand those who died without being hospitalised are included.",null,null,null,null,null,null,null,null,101,7,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Ann Roinn Sláinte Department of Health. (2015). NHQRS-National Healthcare Quality Reporting System - First annual report 2014. Retrieved from Dublin: http://health.gov.ie/wp-content/uploads/2015/03/NHQRS-Annual-Report-2014.pdf",112,"In-hospital Mortality following Acute Myocardial Infarction","The age-sex standardised mortality rate within 30 days of admission with a principal diagnosis of Acute Myocardial Infarction (AMI), ages 45 and over.","Numerator:\nNumber of deaths in hospital that occurred within 30 days of hospital admission with a principal diagnosis of acute myocardial infarction in a specified year, ages 45 and over.\nDenominator:\nNumber of hospitalisations of patients aged 45 and over with a principal diagnosis of acute myocardial infarction in the specified year.\nAge-sex standardisation: Data have been age and sex standardised based on the methodology developed and used by the OECD Health Care Quality Indicators (HCQI) data collection.","3. Helping people when they are being treated and cared for in our health services",null,"Hospital In-Patient Enquiry (HIPE)",null,null,null,null,null,7,null,"c","Ireland - NHQSR (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Ann Roinn Sláinte Department of Health. (2015). NHQRS-National Healthcare Quality Reporting System - First annual report 2014. Retrieved from Dublin: http://health.gov.ie/wp-content/uploads/2015/03/NHQRS-Annual-Report-2014.pdf",112,"In-hospital Mortality following Haemorrhagic Stroke","The age-sex standardised mortality rate within 30 days of admission with a principal diagnosis of haemorrhagic stroke, ages 45 and over.","Numerator:\nNumber of deaths in hospital that occurred within 30 days of hospital admission with a principal diagnosis of haemorrhagic stroke in a specified year, ages 45 and over.\nDenominator:\nNumber of hospitalisations of patients aged 45 and over with a principal diagnosis of haemorrhagic stroke in the specified year.\nAge-sex standardisation: Data have been age and sex standardised based on the methodology developed and used by the OECD Health Care Quality Indicators (HCQI) data collection.","3. Helping people when they are being treated and cared for in our health services",null,"Hospital In-Patient Enquiry (HIPE)",null,null,null,null,null,7,null,"c","Ireland - NHQSR (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",114,"Hip Fracture Surgery Within 48 Hours","This indicator looks at how many patients age 65 and older received hip fracture surgery within 48 hours of being admitted to hospital.","This indicator examines the risk-adjusted proportion of hip fractures that were surgically treated within 48 hours of a patient’s admission to hospital, among patients age 65 and older. Wait time is calculated from the admission date/time of the first hospitalization with a hip fracture diagnosis to the procedure date/time of the hip fracture surgery.","Long wait times in older patients who have a hip fracture are associated with a higher risk of complications following surgery, including death.\nHigher is better. It means that a greater proportion of patients age 65 and older underwent hip fracture repair surgery within 48 hours of being admitted to hospital.",null,"·      Canadian Institute for Health Information",null,null,"http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=1114199",null,null,7,null,"c","CIHI In Depth (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",114,"Tibia and Fibula Fracture: waiting time for surgery",null,null,"waiting times",null,null,null,null,null,null,null,7,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",115,"Survival after Cardiac Arrest outside of Hospital","Percentage of cardiac arrest patients outside hospital who had been administered CPR and were alive 30 days later",null,null,null,null,null,null,null,null,86,7,"Percentage of cardiac arrest patients outside hospital who had been administered CPR and were alive 30 days later","s","Sweden - Socialstyrelsen. (2013)",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",116,"Survival rates cancer","The relative survival rate for (10 different groups of ) cancer; the proportion of patients who survive at least five years after diagnosis, after correction for background mortality. [1) all cancers combined without non-melanoma skin (ICD codes C00-C97), 2) trachea, bronchus or lung (C33-34), 3) breast (C50), 4) colorectal (C18-C21), 5) prostate (C61) , 6) stomach, 7) melanoma, 8) cervical (C53), 9) leukaemias/lymphomas, 10) all childhood cancers (0-14).]","Relative survival rate is calculated as the observed rate of persons diagnosed with cancer surviving five years after diagnosis, divided by expected survival rate in the general population. Age-standardized 5-year relative survival rate is calculated for the following 10 cancer-groups: 1) all cancers combined without non-melanoma skin (ICD codes C00-C97), 2) trachea, bronchus or lung (C33-34), 3) breast (C50),\n4) colorectal (C18-C21), 5) prostate (C61) , 6) stomach, 7) melanoma, 8) cervical (C53), 9) leukaemias/ lymphomas, 10) all childhood cancers (0-14).","High burden diseases. Cancer survival is an indicator of the effectiveness of a country’s health care system in\nthe area of cancer screening, screening/early detection and treatment. The health care system can improve the survival of certain cancers through early detection and appropriate treatment. Monitoring of a larger array of important cancers is important for the overall effectiveness of the system, including prevention.",null,"Eurocare","• Calendar year\n• Country\n• Region (according to ISARE recommendations; see data availability),\n• Sex (when appropriate).\n• Age group (0-64, 65+)","http://www.eurocare.it/Database/tabid/77/Default.aspx","https://w3.iss.it/site/EU5Results/forms/SA0007.aspx","http://ec.europa.eu/health/indicators/docs/echi_78.pdf",78,7,"Relative survival rate for [selected cancer], all patients by sex, by age group (0-64, 65+), by ","c","ECHI",null,1]
["A","EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",116,"Cervical cancer survival rates (women)","Age-standardized 5-year relative cervical survival rate is the observed rate of women diagnosed with cervical cancer (C53) surviving five years after diagnosis, divided by expected survival rate in the general population.",null,null,null,"Eurocare",null,null,null,null,"Q-3a",7,null,"c","JAF Health (DG EMPL)",null,0,0,0,0,0,0,0,0,0,0,0,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",116,"Breast cancer five-year relative survival","defined in indicator “Screening, survival and mortality for cervical cancer” ",null,null,null,null,null,null,null,null,null,7,null,"c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",116,"Cancer survival","1 minus ratio of mortality/incidence 2012 (\"survival rate\")",null,null,null,"Survey commissioned by HCP from Patient View 2015. Interviews with healthcare officials, feedback from national agencies. www.socialstyrelsen.se : Väntetider cancervård",null,null,null,null,"3.4.",7,null,"c","EHCI 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",116,"Breast cancer 5-year relative survival rate (%)",null,null,null,null,null,null,null,null,null,"QE-3",7,null,"c","Belgium - Vrijens et al. (2015)",null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",116,"Myocardial Infarction (MI): 1 year mortality","Proportion of readmissions within 2 days after the hospitalization for an episode of AMI by admitting hospital or by area of residence",null,"mortality-procedures",null,null,null,null,null,"http://95.110.213.190/PNEed14_EN/risultati/protocolli/pro_88.pdf",null,7,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",116,"Surgical intervention for cancer of the colon: proportion of laparoscopic interventions",null,null,"mortality-procedures",null,null,null,null,null,null,null,7,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",116,"Surgical intervention for cancer of the prostate: readmissions within 30 days",null,null,"mortality-procedures",null,null,null,null,null,null,null,7,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",116,"Surgical intervention for cancer of the pancreas: 30-day mortality",null,null,"mortality-procedures",null,null,null,null,null,null,null,7,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",116,"5-year relative survival rate following diagnosis of cancer",null,null,"Quality, safety and outcomes of health care services",null,null,null,null,null,null,null,7,null,"c","Portugal HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",116,"Rectal Cancer – Relative Five-year Survival Rates",null,null,null,null,null,null,null,null,null,119,7,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",116,"Rectal Cancer Surgery – 30-day and 90-day Case Fatality Rates","Percentage of deaths within 30 and 90 days after rectal cancer surgery",null,null,null,null,null,null,null,null,121,7,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",116,"Deaths within 90 Days after Elective Surgery for Aortic Aneurysm","The indicator reflects mortality within 90 days after scheduled surgery for an aortic aneurysm.",null,null,null,null,null,null,null,null,154,7,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",116,"Five-year survival from all cancers","A measure of the number of adults diagnosed with any type of cancer in a year who are still alive five years after diagnosis.\nFive-year net survival for adults (15-99 years) suffering from any type of cancer.",null,null,null,null,null,null,null,null,"1.4.ii.",7,null,"c","UK - NHS (2016)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",116,"Five-year survival from all cancers in children","Five-year net survival for children (0-14 years) suffering from any type of cancer.\nFive-year survival is a measure of the number of children diagnosed with cancer in a year who are still alive five years after diagnosis.","The five-year survival rate is the cumulative probability of all-cause (overall) survival up to five years after diagnosis using the actuarial method. This means that all deaths are included in the analysis, whatever the cause of death written on the death certificate. For the adult cancer indicators the net survival indicator is used to compensate for mortality from other causes, which may be considerable. For children, overall survival is considered a reliable estimator of cancer survival because, unlike in adults, death within five years of diagnosis is almost always due to the cancer.\nSurvival varies with age at diagnosis, and the age profile of patients can change over time.\nTo enable comparison of overall survival for the age range 0–14 years over long periods of\ntime, age-standardised estimates are calculated as a weighted sum of the age-specific survival estimates. For children, it is conventional to use equal weights for the three five-year age groups, 0–4, 5–9 and 10–14 years, by taking the simple arithmetic mean of the age-specific survival estimates.",null,null,null,null,null,null,null,"1.6.ii.",7,null,"c","UK - NHS (2016)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",116,"Breast cancer five-year relative survival","defined in indicator “Screening, survival and mortality for cervical cancer” ",null,null,null,null,null,null,null,null,null,7,null,"c","UK - Berry (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Ann Roinn Sláinte Department of Health. (2015). NHQRS-National Healthcare Quality Reporting System - First annual report 2014. Retrieved from Dublin: http://health.gov.ie/wp-content/uploads/2015/03/NHQRS-Annual-Report-2014.pdf",116,"Breast cancer survival rates","Age-standardised estimates of cumulative 5-year relative survival for Irish female breast cancer patients for the period 2005-2010","Age-standardized Period estimates of Ederer II relative survival for the follow-up period 2005-2010.\nFive-year observed survival for women aged 15-99 diagnosed with breast cancer (first primary cancer at the specified site) divided by the expected survival of a comparable group from the general population (expressed in percentage).\nSurvival estimates are standardized to the International Cancer Survival Standard (ICSS) populations by Corazziari I., Quinn M. & Capocaccia R. 2004. Standard cancer patient population for age standardising survival ratios. Eur J Cancer 40: 2307-2316.","3. Helping people when they are being treated and cared for in our health services",null,"National Cancer Registry of Ireland",null,null,null,null,null,7,null,"c","Ireland - NHQSR (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",117,"Reoperation for Rectal Cancer","Percentage of reoperations within 30 days after primary surgery for rectal cancer",null,null,null,null,null,null,null,null,120,7,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D, E","Consolidated",118,"Patient reported outcome after an intevention/treatment",null,null,null,null,null,null,null,null,null,null,7,"Percentage of patients who reported that they were satisfied or very satisfied with the results / reported improvement (one year) after selected surgery/treatment: hysterectomy, total hip arthroplasty, urinary incontinence, spinal stenosis, Biologic Drug Therapy, Tonsillectomy, etc","s","Consolidated",3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,10,0,0,4,0,0,0,0,0]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",118,"Patient-reported Success of Surgery for Urinary Incontinence","Percentage of women who reported being continent one year after urinary incontinence surgery",null,"The indicator reflects patient assessment of the success of surgery one year later.",null,null,null,null,null,null,56,7,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",118,"Patient-reported Outcome of Total Hip Arthroplasty","Patient-reported outcome of total hip arthroplasty. Improvement in quality of life  in accordance with the EQ-5D instrument at 1-year follow-up.",null,null,null,null,null,null,null,null,63,7,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",118,"Patient-reported Outcome of Septoplasty","Percentage of patients who were completely or fairly satisfied six months after septoplasty",null,"Septoplasty is surgery to correct a deviated nasal septum. The main indication for\nthe surgery is nasal congestion. Nasal congestion can produce a number of secondary\nsymptoms, including dryness of the mouth, snoring and fatigue, as well as leading\nto considerably reduced health-related quality of life. Eighty per cent of the\noperations are performed on men.",null,null,null,null,null,null,156,7,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",118,"Total health gain as assessed by patients for elective procedures: Physical health-related procedures","nA",null,null,null,null,null,null,null,null,"3.1.i.",7,null,"c","UK - NHS (2016)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",119,"Percentage of patients committing suicide while in mental health treatment",null,null,"Getting better: Non-acute curative health care - Quality: patient safety",null,null,null,null,null,null,65,7,null,"c","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",121,"Admission of full-term babies to neonatal care","Number of full-term neonatal episodes, as a percentage of all full-term births.\nThe number of full-term babies (gestation greater than 36 weeks) admitted within 28 days of birth to a neonatal unit, expressed as a percentage of all full-term births.",null,null,null,null,null,null,null,null,"5.5.",7,"Number of full-term neonatal episodes, as a percentage of all full-term births.\nThe number of full-term babies (gestation greater than 36 weeks) admitted within 28 days of birth to a neonatal unit, expressed as a percentage of all full-term births.","s","UK - NHS (2016)",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
["A","ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",122,"Potentially avoidable hospitalisation: asthma in adults","Asthma admissions per 10,000 inhabitants aged 18 and older. ","Numerator: Admissions with primary diagnosis of asthma in patients aged 18 years and older. Obstetric admissions and admissions for congestive heart failure, cystic fibrosis, mental disorders, respiratory diseases and COPD are excluded.\nDenominator: Population aged 18 years and older. ","Asthma in adults, characterized by a reversible airflow obstruction and bronchospasm, is one of the most common reasons for hospital admission and emergency room care. Nonetheless, it is widely accepted that most cases of asthma could be managed with the appropriate therapy on an outpatient basis.\n\nAs a consequence, potentially avoidable hospitalizations for asthma are widely accepted as a proxy measure of effective outpatient care and, provided that inpatient care is more expensive than outpatient care, a surrogate of efficiency.\n\nUnder the ECHO framework, low rates of asthma hospitalizations may indicate effective outpatient care and a more efficient use of resources, at the population level. Conversely, high rates in specific geographic areas may indicate ineffective outpatient care and an inefficient use of resources. ",null,"http://www.echo-health.eu/handbook/PAH_asthma.html",null,null,null,null,"PAH1",8,null,"c","ECHO",null,0,1]
["A","EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",122,"Avoidable admission: uncontrolled diabetes","The indicator for uncontrolled diabetes is defined as the number of hospital discharges of people aged 15 years and over with diabetes Type I or II without mention of a short- term or long-term complication per 100 000 population. The rates have been adjusted to take account of the age and sex composition of each country’s population structure.",null,null,null,"OECD /\npossibly Eurostat in the future",null,null,null,null,"Q-10",8,null,"c","JAF Health (DG EMPL)",null,0,0,0,0,0,0,0,0,0,0,0,1]
["B","Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",122,"Avoidable hospital admissions: asthma",null,null,null,null,null,null,null,null,null,"nA",8,null,"c","Joumard et al. 2010",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["B","Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",122,"Avoidable hospital admissions: Chronic obstructive pulmonary diseases",null,null,null,null,null,null,null,null,null,"nA",8,null,"c","Joumard et al. 2010",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",122,"Ambulatory Care Sensitive Conditions","This age-standardized rate is calculated by dividing the total number of acute care hospitalizations for ambulatory care sensitive conditions in patients younger than age 75 by the mid-year population younger than age 75 and multiplying by 100,000.","This age-standardized rate is calculated by dividing the total number of acute care hospitalizations for ambulatory care sensitive conditions in patients younger than age 75 by the mid-year population younger than age 75 and multiplying by 100,000.","This indicator looks at the acute care hospitalization rate for conditions that can be prevented or reduced if appropriate ambulatory care is provided.\nLower is better. Low rates suggest fewer hospitalizations for ambulatory care sensitive conditions. High rates could reflect problems in obtaining access to appropriate primary care.",null,"·      Canadian Institute for Health Information",null,null,"http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=1114181",null,null,8,null,"c","CIHI In Depth (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",122,"Evidence-based care: Preventable hospitalization rate",null,null,"It encompasses the broades range of potential causes and conditions and also reflects such key health system performance issues as communication with patients, availability of ambulatory resources, care coordination, and social services. It is a relevant measure that captures accountability for a broad range of stakeholder groups. ",null,null,null,null,null,null,"nA",8,null,"c","IOM 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",122,"hospital admissions for uncontrolled diabetes or complication of diabetes","Number of hospital admissions for uncontrolled (or complication of) diabetes in people aged 15 years and over, per 100 000 population","Numerator: All non-maternal/non-neonatal hospital admission with principal diagnosis code of \n- Uncontrolled diabetes\n- Diabetes Short-term complication (ie. ketoacidosis, hyperosmolarity)\n- Long term complication (ie. renal, eye; neurological, circulatory, or complication not otherwise specified).\nDenominator: Population count\nExclude cases: Transferring from another institution; MDC 14 (pregnancy, childbirth and puerperium); MDC 15 (new-born and other neonates); Same day/day only admissions.","Asthma and diabetes are two widely prevalent long term conditions. Common to all two conditions is the fact that the evidence base for effective treatment is well established and much of it can be delivered at a primary care level. A high performing primary\ncare system can to a significant extent, therefore, avoid acute deterioration in people living with asthma, or diabetes and prevent their admission to hospital. High hospital admission rates for these two conditions can thus serve as a proxy for pointing to poor effectiveness of first line care, as well as poor co-ordination or continuity of care. ",null,null,null,null,null,null,"QE-2",8,"Number of hospital admissions for uncontrolled (or complication of) diabetes in people aged 15 years and over, per 100 000 population","c","Belgium - Vrijens et al. (2015)",null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",122,"Numbers of hospital admissions per 100,000 population per year for conditions whose prevention and treatment is managed primarily by outpatient services",null,null,"Getting better: Non-acute curative health care - Quality: effectiveness",null,null,null,null,null,null,56,8,null,"c","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",122,"Avoidable Inpatient Medical Care for People with a Psychiatric Diagnosis","Number of people age 20-59 with avoidable inpatient medical care events and previous psychiatric care per 100 000 inhabitants. Age-standardised.",null,"This indicator reflects the quality of outpatient treatment, such as primary care and\npreventive public health efforts, for certain specific conditions. The assumption is\nthat unnecessary hospitalisation can be avoided if patients with the selected conditions\nreceive proper outpatient medical care.",null,null,null,null,null,null,135,8,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",122,"Emergency admissions for children with LRTI","Emergency admissions to hospital of children with selected types of lower respiratory tract infections (bronchiolitis, bronchopneumonia and pneumonia). It is expressed as the indirectly standardised rate of admissions per 100,000 population aged under 19 (0 to 18 years).",null,null,null,null,null,null,null,null,"3.2.",8,null,"c","UK - NHS (2016)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Ann Roinn Sláinte Department of Health. (2015). NHQRS-National Healthcare Quality Reporting System - First annual report 2014. Retrieved from Dublin: http://health.gov.ie/wp-content/uploads/2015/03/NHQRS-Annual-Report-2014.pdf",122,"Asthma Hospitalisation Rate","The age-sex standardised rate of hospitalisations of people aged 15 years and older with a principal diagnosis of asthma per 100,000 population.","Numerator:\nNumber of hospital discharges with a principal diagnosis of asthma in a specified year, ages 15 and over.\nDenominator:\nPopulation aged 15 years and older.","2. Supporting people with long term conditions: Ambulatory care sensitive conditions",null,null,null,null,null,null,null,8,null,"c","Ireland - NHQSR (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Ann Roinn Sláinte Department of Health. (2015). NHQRS-National Healthcare Quality Reporting System - First annual report 2014. Retrieved from Dublin: http://health.gov.ie/wp-content/uploads/2015/03/NHQRS-Annual-Report-2014.pdf",122,"Diabetes Hospitalisation Rate","The age-sex standardised rate of hospitalisations of people aged 15 years and older with a principal diagnosis of diabetes per 100,000 population.","Numerator:\nNumber of hospital discharges with a principal diagnosis of diabetes in a specified year, ages 15 and over.\nDenominator:\nPopulation aged 15 years and older.","2. Supporting people with long term conditions: Ambulatory care sensitive conditions",null,null,null,null,null,null,null,8,null,"c","Ireland - NHQSR (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",124,"Complications of diabetes - annual incidence rates of stroke, myocardial infarction, dialysis and/or renal transplantation in patients with diabetes","Annual incidence rate by age category of diabetic patients with stroke: ‘Number of patients discharged from Mater Dei Hospital in 2013 with a recorded primary discharge diagnosis of Stroke (Codes: I63.x and I64.x) on the Electronic Case Summary database and who were alive and on the POYC diabetes register in May 2014, per 100,000 diabetic population’\nAnnual incidence rate by age category of diabetic patients with myocardial infarction: ‘Number of patients discharged from Mater Dei Hospital in 2013 with a recorded primary discharge diagnosis of myocardial infarction (Code: I21.x) on the Electronic Case Summary database and who were alive and on the POYC diabetes register in May 2014, per 100,000 diabetic population’\nAnnual incidence rate by age category of diabetic patients with renal dialysis: ‘Number of patients admitted to the Renal Unit to start renal replacement therapy in 2013 and who were alive and on the POYC diabetes register in May 2014, per 100,000 diabetic population’\nAnnual incidence rate by age category of diabetic patients with renal transplant:\n‘Number of patients with recorded renal transplantation (Code: 55.69) performed at Mater Dei Hospital in 2013 and who were alive and on the POYC diabetes register in May 2014, per 100,000 diabetic population’",null,null,null,null,null,null,null,null,25,8,".","s","Malta - Grech et al. (2015)",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0]
["D","CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",125,"All Patients Readmitted to Hospital ","risk-adjusted rate of urgent readmissions to acute care facilities within 30 days of discharge for the obstetric, patients age 19 and younger, surgical and medical patient groups","This indicator examines the risk-adjusted rate of urgent readmissions to acute care facilities within 30 days of discharge for the obstetric, patients age 19 and younger, surgical and medical patient groups. The risk-adjusted rate is calculated by dividing the observed number of readmissions by the expected number of readmissions and multiplying by the Canadian average.","Urgent returns to hospital are difficult for patients and costly for the health system. This indicator looks at how many patients were readmitted to hospital within 30 days of their initial discharge. While not all readmissions can be prevented, the rate can often be reduced through better follow-up and coordination of care for patients after discharge.\nLower is better. Lower readmission rates may suggest effective interventions during and after a hospitalization.",null,"·      Canadian Institute for Health Information",null,null,"http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=1114173",null,null,8,null,"c","CIHI In Depth (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",125,"Obstetric Patients Readmitted to Hospital ","isk-adjusted rate of urgent readmissions to an acute care facility within 30 days of discharge for the obstetric patient group","This indicator examines the risk-adjusted rate of urgent readmissions to an acute care facility within 30 days of discharge for the obstetric patient group. The risk-adjusted rate is calculated by dividing the observed number of readmissions by the expected number of readmissions and multiplying by the Canadian average.","Urgent returns to hospital are difficult for patients and costly for the health system. This indicator looks at how many obstetric patients were readmitted to hospital within 30 days of their initial discharge. While not all readmissions can be prevented, the rate can often be reduced through better follow-up and coordination of care for patients after discharge.",null,"·      Canadian Institute for Health Information",null,null,"http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=1114171",null,null,8,null,"c","CIHI In Depth (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",125,"Hospitalized patients went to ER or rehospitalized for complication after discharge",null,null,"Efficiency",null,null,null,null,null,null,null,8,null,"c","CWF Int. Comparison (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",125,"Heart Failure: readmissions within 30 days",null,null,"mortality-procedures",null,null,null,null,null,"http://95.110.213.190/PNEed14_EN/risultati/protocolli/pro_201.pdf",null,8,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",125,"COPD acute exacerbation: readmissions within 30 days",null,null,"mortality-procedures",null,null,null,null,null,null,null,8,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",125,"Emergency readmissions within 30 days of discharge from hospital","Indirectly standardised percentage of emergency admissions to any hospital in England occurring within 30 days of the last, previous discharge after admission. Admissions for cancer and obstetrics are excluded.",null,null,null,null,null,null,null,null,"3b",8,null,"c","UK - NHS (2016)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",126,"Percent of short-stay nursing home residents readmitted within 30 days of hospital discharge to the nursing home","Percent of newly admitted nursing home residents (never been in a facility before) who are re-hospitalized within 30 days of being discharged to nursing home.",null,null,null,"V.Mor, Brown University, analysis of 2010 and 2012 Medicare enrollment data and Medicare Provider and Analysis Review (CMS, MEDPAR 2010, 2012).",null,null,null,null,26,8,"Percent of newly admitted nursing home residents (never been in a facility before) who are re-hospitalized within 30 days of being discharged to nursing home.","s","CWF State Scorecard",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",129,"Readmission within 3 and 6 Months after Treatment for Schizophrenia","Percentage of patients age 20–59 who were readmitted within 3 or 6 months after inpatient care for schizophrenia",null,"This indicator is intended as a tool in assessing follow-up and care after discharge.\nThe percentage of readmissions within six months can help describe the quality of\noutpatient care, municipal and social service interventions, and the interplay between\nthe various providers. Readmission within 14 or 28 days is regarded as a more\naccurate gauge of inpatient care quality. The indicator is part of the preliminary\nnational guidelines for psychosocial interventions in schizophrenia.",null,null,null,null,null,null,137,8,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",130,"Repeat Hospital Stays for Mental Illness","This indicator measures what’s known as the \"revolving door\" syndrome for mental health patients. It looks at how many patients have at least 3 repeat hospital stays for a mental illness in a single year. Frequent hospitalizations may reflect challenges in getting appropriate care, medication and support in the community.","This indicator examines the risk-adjusted proportion of patients with repeat hospitalizations for mental illness. It is calculated by dividing the number of individuals who had at least 3 episodes of care for a selected mental illness in a 1-year period by the number of individuals who had at least 1 episode of care for a selected mental illness in a 1-year period.","Lower is better. It means that a lower proportion of patients had repeat hospitalizations for mental illness, which suggests that appropriate care was provided.",null,"·      Canadian Institute for Health Information",null,null,"http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=1114193",null,null,8,"This indicator measures what’s known as the \"revolving door\" syndrome for mental health patients. It looks at how many patients have at least 3 repeat hospital stays for a mental illness in a single year. Frequent hospitalizations may reflect challenges in getting appropriate care, medication and support in the community.","s","CIHI In Depth (2014)",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",131,"Knee arthroplasty: other intervention within 6 months",null,null,"mortality-procedures",null,null,null,null,null,null,null,8,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",131,"Reoperation within Two Years after Total Hip Arthroplasty","Percentage of reoperations within two years after total hip arthroplasty.","Numerator: Number of operations, regardless of the reason, within two years after initial surgery. Refers to all types of additional surgery (a broader concept than revision) after primary surgery.\nDenominator: All hip arthroplasty procedures entered in the Swedish Hip Arthroplasty Register.","Ten-year survival of hip prosthesis is a central quality variable, but indicators are\nalso needed that can provide quicker feedback to clinics and that can spur them to\nlaunch improvement efforts without undue delay.\nOne faster indicator concerns the percentage of reoperations within two years of\ninitial surgery, regardless of the reason. Reoperation is a broader concept than revision\nand includes all forms of additional surgery. The short follow-up time primarily\nreflects early and serious postoperative complications, such as deep infection\nand revision due to repeated dislocation of the hip prosthesis. Able-bodied patients\nwho are reoperated on due to prosthesis-related infection or dislocation frequently\nexperience poorer final results, costing the healthcare system and society millions\nof kronor per complication.\nOnly surgically treated complications are included. Neither infections treated with\nantibiotics nor dislocations treated non-surgically are reported to the register. If a\npatient was repeatedly reoperated on for the same complication, only a single complication\nwas reported. Data for patients reoperated on at a clinic other than the\nprimary one are still assigned to the primary clinic.",null,null,null,null,null,null,61,8,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",132,"A measure of the effectiveness of post-diagnosis care in sustaining independence and improving quality of life","check ASCOF 2F",null,null,null,null,null,null,null,null,"2.6.ii.",8,null,"c","UK - NHS (2016)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",134,"Hemiarthroplasty – Implant Survival","Estimated percentage of patients who were not reoperated on within one year after hemiarthroplasty for femur fracture",null,null,null,null,null,null,null,null,67,8,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",136,"Loss of Excess BMI One Year after Bariatric Surgery","Loss of excess BMI one year after bariatric surgery. \nThis indicator is an internationally established outcome measure for bariatric surgery.\nThe variable is the percentage of preoperative excess weight that the patient\nhas lost one year after surgery. Preoperative excess weight is defined as the difference\nbetween the preoperative BMI value and 25. Weight loss (occasionally gain) is\nthe difference between BMI one year after surgery and the preoperative level.",null,null,null,null,null,null,null,null,147,8,"Loss of excess BMI one year after bariatric surgery. \nThis indicator is an internationally established outcome measure for bariatric surgery.\nThe variable is the percentage of preoperative excess weight that the patient\nhas lost one year after surgery. Preoperative excess weight is defined as the difference\nbetween the preoperative BMI value and 25. Weight loss (occasionally gain) is\nthe difference between BMI one year after surgery and the preoperative level.","s","Sweden - Socialstyrelsen. (2013)",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0]
["E","Consolidated",137,"Recovery from hip fracture surgery",null,null,null,null,null,null,null,null,null,null,8,"Following indicators are used: \nThe proportion of patients, expressed as a percentage, with a hip fracture recovering to their previous levels of mobility at 30 days after admission. \nThe proportion of patients, expressed as a percentage, with a hip fracture recovering to their previous levels of mobility at 120 days after admission. \nPercentage of patients, age 50 and older, who returned to their original residence within four months after hip fracture surgery. \nProportion of older people (65 and over) who were still at home 91 days after discharge from hospital into reablement/rehabilitation service. \n","s","Consolidated",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,3,0,0,0,0,0]
["E","NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",138,"Proportion offered rehabilitation following discharge from acute or community hospital","The proportion, expressed as a percentage, of older people aged 65 and over offered reablement services following discharge from hospital.\nReablement/rehabilitation services are focused on improving people’s health, well-being, confidence and independence after an acute episode of ill health, injury or a gradual decline in functioning in the community. They include all episodes of support provided that are intended to be time limited and aim at maximising the independence of the individual and reducing/eliminating their need for on-going support.",null,null,null,null,null,null,null,null,"3.6.ii.",8,"The proportion, expressed as a percentage, of older people aged 65 and over offered reablement services following discharge from hospital.\nReablement/rehabilitation services are focused on improving people’s health, well-being, confidence and independence after an acute episode of ill health, injury or a gradual decline in functioning in the community. They include all episodes of support provided that are intended to be time limited and aim at maximising the independence of the individual and reducing/eliminating their need for on-going support.","s","UK - NHS (2016)",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
["E","Consolidated",142,"Compliance of patients with prescribed medications",null,null,null,null,null,null,null,null,null,null,8,"Percentage of patients age 18 and older with ongoing i) antihypertensive, ii) lithium therapy who continued treatment. Age-standardised.","s","Consolidated",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0]
["E","NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",143,"Suicide and mortality from injury of undetermined intent among people with recent contact from NHS services","check PHOF 4.10",null,null,null,null,null,null,null,null,"1.5.iii.",8,null,"c","UK - NHS (2016)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","Consolidated",144,"Self-reported pharmaceutical consumption by selected groups",null,null,null,null,null,null,null,null,null,null,8,"Disaggregated by age group (15+, 15-64, 65+),  by sex and by education level (ISCED 0-2, 3-4, 5-6) \nProportion of people who report having used medication for asthma, COPD, high blood pressure, cardiovascular diseases, diabetes, tension/anxiety and depression prescribed by a physician during the past 2 weeks.","s","Consolidated",1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",145,"Overall volume of antibiotics prescribed",null,null,null,null,null,null,null,null,null,null,8,"DDS per 1 000 population, per day","c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",145,"Pharmaceutical consumption: Antidiabetic drugs consumption","Defined daily dose (DDD) is the assumed average maintenance dose per day for a drug used for its main indication in adults. DDDs are assigned to each active ingredient(s) in a given therapeutic class by international expert consensus. For instance, the DDD for oral aspirin equals 3 grams, which is the assumed maintenance daily dose to treat pain in adults. DDDs do not necessarily reflect the average daily dose actu- ally used in a given country. DDDs can be aggregated within and across therapeutic classes of the Anatomic- Therapeutic Classification (ATC). For more detail, see www.whocc.no/atcddd.\nThe volume of hypertension drugs consumption refers to the sum of five ATC2 categories which can all be prescribed against hyper- tension (antihypertensives, diuretics, beta-blocking agents, calcium channel blockers and agents acting on the renin-angiotensin system).\nData generally refer to outpatient consumption only, except for the Czech Republic, Estonia, Italy and Sweden where data also include hospital consumption.",null,null,null,null,null,null,null,null,null,8,"by Defined daily dose (DDD) per 1 000 people","c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",145,"Arthritis drugs: TNF-α inhibitors, Standard Units per capita, prevalence adjusted","TNF-α inhibitors, Standard Units per capita, prevalence adjusted",null,null,null,"IMS MIDAS database, eumusc.net: Report v5.0 Musculoskeletal Health in Europe (2012), Special Eurobarometer 272 (2007)",null,null,null,null,"6.5.",8,null,"c","EHCI 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",145,"Metformin use","Metformin use; SU per diabetic case",null,null,null,"IMS MIDAS database, full year 2013",null,null,null,null,"6.5.",8,null,"c","EHCI 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",145,"Variation in use of prescription drugs for diabetes (age and sex standardized)",null,null,"allocative efficiency",null,null,null,null,null,null,null,8,null,"c","Hungary HSPA (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",146,"Use of antibiotics at least once in the year (% of population)",null,null,"Appropriateness",null,null,null,null,null,null,"QA-4",8,null,"c","Belgium - Vrijens et al. (2015)",null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",146,"Biologic Drugs for Rheumatoid Arthritis","Rheumatoid arthritis – percentage of patients age 18 and older treated with biologic drugs.",null,null,null,null,null,null,null,null,74,8,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",146,"Effect after Commencement of Biologic Drug Therapy","Percentage of rheumatoid arthritis patients with little or no disease activity 4–12 months after commencement of treatment with their first biologic drug",null,null,null,null,null,null,null,null,75,8,null,"e/ms","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A, D, E","Consolidated",148,"Specific disease care performance according to key indicators of quality of care",null,null,null,null,null,null,null,null,null,null,8,"This includes all possible quality of care indicators as defined by evidence based medicine, i.e. stroke performace, diabetes control, asthma action plan, Good Viral Control for HIV, etc. \nNo attempt was made to list all of them individually.  ","s","Consolidated",10,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,1,0,6,0,5,0,3,4,0,1,0,26,0,9,0,0,0,0,0,0]
["D","IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",148,"Evidence-based care: Cardiovascular risk reduction, hypertension control, heart attack therapy protocol, stroke therapy protocol, unnecessary care composite","These three measures deal with major chronic diseases and the extent to which they are managed by both clinicians and patients, and their selection reflects the significant and growing impact of these behavior-linked diseases on both the health of Americans and the cost of American health care.",null,null,null,null,null,null,null,null,"nA",8,"To be defined [These three measures deal with major chronic diseases and the extent to which they are managed by both clinicians and patients, and their selection reflects the significant and growing impact of these behavior-linked diseases on both the health of Americans and the cost of American health care.]","c","IOM 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",148,"Evidence-based care: Stroke therapy protocol",null,null,null,null,null,null,null,null,null,"nA",8,"To be defined [These three measures deal with major chronic diseases and the extent to which they are managed by both clinicians and patients, and their selection reflects the significant and growing impact of these behavior-linked diseases on both the health of Americans and the cost of American health care.]","c","IOM 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",148,"Evidence-based care: Diabetes control composite",null,null,null,null,null,null,null,null,null,"nA",8,null,"c","IOM 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",148,"Proportion of adult diabetics (under oral antidiabetic only) with a convention/passport/care trajectory (% of patients, 50+)",null,null,null,null,null,null,null,null,null,"QC-5",8,null,"c","Belgium - Vrijens et al. (2015)",null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",148,"Myocardial Infarction (MI): proportion of treated with PCI within 2 days",null,null,"mortality-procedures",null,null,null,null,null,"http://95.110.213.190/PNEed14_EN/risultati/protocolli/pro_4.pdf",null,8,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",148,"N-STEMI: crude proportion of treated with PCI within 2 days ","nA","nA","mortality-procedures",null,null,null,null,null,"http://95.110.213.190/PNEed14_EN/risultati/protocolli/pro_96.pdf",null,8,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",148,"Use of Antibiotics prior to Cholecystectomy","The indicator shows the percentage of elective cholecystectomies for which antibiotic prophylaxis is given.",null,"Whether antibiotics are required prior to elective cholecystectomy in order to prevent\npostoperative infection has long been a topic of debate. Quite a few studies, including\none based on a relatively large number of patients in the Swedish National\nRegister for Gallstone Surgery and ECRP, have found that antibiotic prophylaxis\ndoes not reduce the risk. Thus, the current recommendation is that it not be administered.",null,null,null,null,null,null,150,8,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",148,"Multidisciplinary Team Meetings for Lung Cancer Patients","This indicator shows the percentage of patients who were assessed at such a meeting prior to primary treatment. The results reflect whether the hospital and region have a structure for treating lung cancer patients and the extent to which the service is provided.",null,null,null,null,null,null,null,null,127,8,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",148,"Time until Reperfusion Therapy for Patients with ST-segment Elevation Myocardial Infarction (STEMI)","The indicator looks at the percentage of STEMI patients for whom reperfusion therapy commenced within the target time (90 minutes for PCI and 30 minutes for thrombolysis) after the initial EKG.",null,"The shorter the delay, the greater the chances that reperfusion therapy will succeed.\nThe international limit of 30 minutes for thrombolytic therapy is based on the time\nrequired to complete the various preparatory steps. The 90-minute deadline for\nPCI, which is a more complex procedure, stems from its incontrovertible medical\nadvantages, assuming that transport to the hospital or the delay after pre-hospital\nEKG can be held down to that time.\nDefining initial EKG as the starting point places the responsibility squarely in the\nlap of the healthcare system. The total time from the onset of chest pain and other\nsymptoms of myocardial infarction to commencement of therapy is also a function\nof reactions by the patient, family members, hotline and emergency service centre,\nas well as the distance to the clinic.",null,null,null,null,null,null,91,8,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",148,"Thrombolytic Therapy after Stroke","Percentage of eligible stroke patients who received thrombolytic therapy",null,null,null,null,null,null,null,null,104,8,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",148,"Swallow Test after Acute Stroke","The indicator reflects the percentage of patients who were given a swallow test upon arrival or who were excluded due to their medical condition among everyone\nwho was hospitalised for acute stroke.",null,"Stroke can impair the ability to swallow such that food gets caught in the airways.\nIf worse comes to worst, the result can be respiratory arrest or severe pneumonia.\nThe ability of stroke patients to swallow should be routinely assessed at the time of\nhospitalisation by means of a simple test. The test has priority 1 (out of 10) in the\nnational guidelines.",null,null,null,null,null,null,105,8,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",148,"Persons with Diabetes in Primary Care Who Achieve The Goal for Blood Glucose Levels","Percentage of persons with diabetes, younger than 80, in primary care who achieved the blood glucose goal (HbA1c < 52 mmol/mol)",null,null,null,null,null,null,null,null,79,8,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",148,"Persons with Diabetes in Primary Care Who Achieve the Goal for LDL Cholesterol Levels","Percentage of persons with diabetes, younger than 80, in primary care who achieved the LDL cholesterol goal (< 2.5 mmol/l)",null,null,null,null,null,null,null,null,83,8,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",148,"Stroke performance: Brain scan within 24 hours of stroke",null,null,null,null,null,null,null,null,null,null,8,null,"c","UK - Bevan et al. (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",148,"Stroke performance: Commenced aspirin by 48 hours after stroke",null,null,null,null,null,null,null,null,null,null,8,null,"c","UK - Bevan et al. (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",149,"Proportion of people with mental illness with a GP care plan","The number of people aged 16–84 with a GP mental health treatment plan, as a percentage of the estimated number of people aged 16–84 with mental illness.",null,null,null,null,null,null,null,null,null,8,"The number of people aged 16–84 with a GP mental health treatment plan, as a percentage of the estimated number of people aged 16–84 with mental illness.","s","AIHW. (2014)",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",150,"Rate of patients discharged from acute psychiatric/addictology ward within a week","Done and its further application is advised",null,"Psychiatry/addictology: Appropriateness",null,null,null,null,null,null,null,8,null,"c","Hungary HSPA (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",150,"Percentage of Recidivists during Forensic Psychiatric Care",null,null,"The objective\nof forensic psychiatric care is to prevent recidivism, as well as recurrence of mental\nillness or substance abuse.\nThe period of care averages approximately five years, which permits the development\nof trusting relationships between patients and caregivers. The compulsory\nnature of the care makes it particularly important that the patient is willing to cooperate.\nFully respecting the patient’s privacy and autonomy is a delicate task. Such\ncare must be of uniform high quality throughout the country. The various services\nneed to compare their results with each other in order to progress and improve.",null,null,null,null,null,null,141,8,null,"ms","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",151,"Have a Regular Doctor","The percentage of the population that reported having a regular medical doctor. \nAccess to family doctors is an important concern for the public and a priority for many governments. This indicator looks at how many Canadians age 12 and older have a regular primary care physician. Having a regular doctor is important for early screening, prevention and treatment of medical conditions.","This indicator examines the percentage of the population that reported having a regular medical doctor. It is calculated by dividing the number of people who report that they have a regular medical doctor by the number of survey respondents.","Higher is better. It means that a greater percentage of Canadians had a regular doctor.",null,"·      Canadian Institute for Health Information",null,null,"http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=1114249",null,null,8,null,"c","CIHI In Depth (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",151,"Care access: Usual source of care",null,null,null,null,null,null,null,null,null,"nA",8,null,"c","IOM 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",151,"Proportion of contacts with the usual GP (%)(UPC index)",null,null,null,null,null,null,null,null,null,null,8,"nA","c","Belgium - Vrijens et al. (2015)",null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",152,"GP encounter within 7 days after hospital discharge (% patients 65+)",null,null,null,null,null,null,null,null,null,"QC-3",8,null,"s","Belgium - Vrijens et al. (2015)",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",155,"Regular doctor or place always or often helps coordinate and arrange care from other doctors or places",null,null,"Coordinated Care","percent",null,null,null,null,null,null,8,"Survey question. ","s","CWF Int. Comparison (2014)",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",157,"When primary care physicians refer a patient to a specialist, they always or often receive a report back with all relevant health information",null,null,"Coordinated Care","percent",null,null,null,null,null,null,8,"Survey question. ","s","CWF Int. Comparison (2014)",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",162,"Receive written plan for care after discharge (base: those hospitalized or having surgery within past 2 years)",null,null,"Coordinated Care","percent",null,null,null,null,null,null,8,"Survey question. ","s","CWF Int. Comparison (2014)",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",166,"Primary care physicians receive the information needed to manage a patient's care within 2 days after they were discharged from the hospital",null,null,"Coordinated Care","percent",null,null,null,null,null,null,8,"Survey question. ","s","CWF Int. Comparison (2014)",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",166,"Patient experienced delays in being notified about abnormal test results in past 2 years (base: had a lab test ordered)",null,null,"Safe Care","percent",null,null,null,null,null,null,8,null,"c","CWF Int. Comparison (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",169,"Death at usual place of residence (home or in residential care) (% of terminal cancer patients who died in the year)",null,null,null,null,null,null,null,null,null,"EOL-4",9,null,"c","Belgium - Vrijens et al. (2015)",null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",170,"Percentage of cases of continuous deep sedation in which artificial hydration or nutrition is administered",null,null,"End-of-life care - Quality: palliative sedation",null,null,null,null,null,null,125,9,null,"c","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",171,"Number of notifications of euthanasia and assisted suicide","Euthanasia is defined as deliberately ending a person’s life at that person’s explicit request by a doctor administering lethal medication. A request for euthanasia does not need to be made in writing, but can also be made verbally. Assisted suicide differs from euthanasia in that the person self-administers medication that is prescribed by a doctor.",null,"End-of-life care - Accessibility (and availability): end-of-life decisions",null,null,null,null,null,null,114,9,null,"c","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",171,"Percentage of deaths due to intensification of pain and symptom relief",null,null,"End-of-life care - Accessibility (and availability): end-of-life decisions",null,null,null,null,null,null,115,9,null,"c","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Consolidated",174,"Perceived quality of end-of-life care according to relatives",null,null,null,null,null,null,null,null,null,null,9,"This indicator refers to following individual indicators: \n*) Degree to which relatives report being treated well by care providers. \n*) Degree to which relatives report care providers having discussed the end of life with patients and relatives and aftercare with relatives. \n*) Degree to which relatives report having the opportunity to be alone with the patients. \n*) Degree to which relatives report being supported by care providers after the death of the patients. ","s","Consolidated",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",174,"Percentage of hospital protocols for palliative sedation matching the Royal Dutch Medical Association (KNMG) guideline",null,null,"End-of-life care - Quality: palliative sedation",null,null,null,null,null,null,123,9,null,"ms","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",176,"Sentinel events in hospital and primary care","nA",null,"‘Person centred care’",null,null,null,null,null,null,"3.4.",10,"Wikipedia: A Sentinel Event is defined by The Joint Commission (TJC) as any unanticipated event in a healthcare setting resulting in death or serious physical or psychological injury to a patient or patients, not related to the natural course of the patient's illness. Sentinel events specifically include loss of a limb or gross motor function, and any event for which a recurrence would carry a risk of a serious adverse outcome. ","c","MoH New Zealand 2016",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",176,"Patient safety incidents reported","The rate or number of patient safety incidents reported to the National Reporting and Learning System (NRLS) by provider organisations.\nThe number of patient safety incidents reported to the National Reporting and Learning System (NRLS) by provider organisations, per 100,000 population.\nA patient safety incident (PSI) is defined as ‘any unintended or unexpected incident(s) that could have, or did, lead to harm for one or more person(s) receiving NHS funded healthcare’.",null,null,null,null,null,null,null,null,"5.6.",10,"The rate or number of patient safety incidents reported to the National Reporting and Learning System (NRLS) by provider organisations.\nThe number of patient safety incidents reported to the National Reporting and Learning System (NRLS) by provider organisations, per 100,000 population.\nA patient safety incident (PSI) is defined as ‘any unintended or unexpected incident(s) that could have, or did, lead to harm for one or more person(s) receiving NHS funded healthcare’.","c","UK - NHS (2016)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","Euro-Peristat. (2012). Euro-Peristat project - Better statistics for better health for pregnant women and their babies.   Retrieved from http://www.europeristat.com/",177,"Prevalence of tears to the perineum","the number of women who had a first-, second-, third-, or fourth-degree tear of the perineum expressed as a proportion of all women who had a vaginal delivery. Presented for all vaginal deliveries and then for non-instrumental and instrumental separately.\nCategories as follows (ICD10) 1st degree tear (ICD O70.0) involves the fourchette, perineal skin and vaginal membrane. \n2nd degree tear (ICD O70.1) includes the skin and mucous membrane, and the fascia and muscles of the perineal body.\n3rd degree tear (ICD O70.2) extends through skin, mucous membrane and perineal body and involves the muscle of the anal sphincter.\n4th degree tear (ICD O70.3) extends through the rectal mucosa to expose the lumen of the rectum.",null,null,null,null,null,null,null,null,"R7",10,null,"c","Europeristat (R) ",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",177,"Cesarean delivery: complications during the delivery and puerperium (admitting hospital )",null,null,"mortality-procedures",null,null,null,null,null,null,null,10,"nA","c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",177,"Rate of perineal tears among instrumental vaginal deliveries",null,null,"Antenatal, perinatal and postpartum care - Quality: secondary and tertiary obstetric care",null,null,null,null,null,null,13,10,null,"c","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",177,"Rate of perineal tears among unassisted vaginal deliveries",null,null,"Antenatal, perinatal and postpartum care - Quality: secondary and tertiary obstetric care",null,null,null,null,null,null,14,10,null,"c","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",179,"Pulmonary Thromboembolism or deep venous thrombosis after surgical procedure ","Perioperative pulmonary embolism or deep vein thrombosis (as secondary diagnosis) per 1,000 surgical discharges for patients aged 18 years and older. Excludes cases with a principal diagnosis of pulmonary embolism or deep vein thrombosis; cases in which interruption of vena cava is the only operating room procedure; and obstetric discharges. ","Numerator: Discharges, aged 18 and older, with a secondary diagnosis code for deep vein thrombosis or r pulmonary embolism.\n\nDenominator: : All surgical discharges aged 18 and older with a code for an operating room procedure, excluding those for whom interruption of the vena cava is the only procedure and obstetric discharges. Length of stay should be > 2 days. ","Patient Safety Indicators (PSIs) are a set of indicators developed by AHRQ that provide information on potential in-hospital complications and adverse events following surgeries, medical procedures, and childbirth. These indicators provide a means of assessing the incidence of adverse events and in-hospital complications using administrative data contained in the typical discharge record and can be used to help hospitals to identify potential adverse events that may require further study.\n\nPSI 12 captures how often a blood clot ends up in the lungs (pulmonary embolism, PE) or in a large vein (deep vein thrombosis, DVT) after a surgical procedure. Both PE and DVT are common complications that can be prevented through continuous in-hospital risk assessment and appropriate prophylactic treatments.\n\nLink: http://www.qualitymeasures.ahrq.gov/content.aspx?id=38522",null,"http://www.echo-health.eu/handbook/PSI_psi12.html",null,null,null,null,"PS1",10,null,"c","ECHO",null,0,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",179,"Surgical complications: Postoperative pulmonary embolism (PE) or deep vein thrombosis (DVT) in hip and knee surgeries","Surgical complications are defined as the number of discharges with ICD codes for complication in any secondary diagnosis field for the “surgical admission” and any diagnosis field for any subsequent related re- admission within 30 days, divided by the total number of discharges for patients aged 15 and older. Contrary to the data presented in Health at a Glance 2013, the indicator rates have not been adjusted by the average number of secondary diagnoses, given a strong posi- tive correlation between the number of secondary diagnoses and indicator rates reported by countries was not evident in the most recent data.",null,null,null,null,null,null,null,null,null,10,"per 100.000 hospital discharges","c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",179,"In-Hospital Sepsis","The risk-adjusted rate of sepsis that is identified after admission","This indicator examines the risk-adjusted rate of in-hospital sepsis events per 1,000 discharges. The unit of analysis is a hospital discharge. The risk-adjustment model was applied separately to children (younger than age 18) and adults (age 18 and older) to account for the difference in risk of developing sepsis in these 2 groups. For each group, the risk-adjustment model includes age, sex, comorbidity (Charlson Index), admission category (elective versus urgent), surgical versus medical patients and immunocompromised states.","Lower is better. It means that fewer in-hospital sepsis events occurred per 1,000 discharges.\nAppropriate preventive and therapeutic measures during a hospital stay can reduce the rate of infections and/or progression of infection to sepsis. This indicator looks at the extent to which acute care hospitals are effective in preventing the development of sepsis.",null,"·      Canadian Institute for Health Information",null,null,"http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=5111838",null,null,10,null,"c","CIHI In Depth (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",179,"Laparoscopic cholecystectomy   in ordinary admission: complications within 30 days",null,null,"mortality-procedures",null,null,null,null,null,null,null,10,null,"c","Italy - PNE (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",179,"Patient-reported Complications after Uterine Prolapse Surgery","Percentage of patients who reported that they had no complications or adverse events after uterine prolapsed surgery",null,null,null,null,null,null,null,null,53,10,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",179,"Complications after Pacemaker Implantation","The indicator shows the percentage of patients who experienced complications after\ninitial implantation, replacement or correction of a standard pacemaker. The\nlocation of the clinic rather than where the patient was living formed the basis of\ncounty reporting.",null,"Pacemaker surgery is typically uncomplicated and lasts for an hour. Patients are normally\nhospitalised, but day-case surgery may be an option. Nevertheless, the procedure\nis associated with the risk of complications. Thus, the frequency of complications\nis an obvious indicator for monitoring quality.",null,null,null,null,null,null,98,10,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",180,"MRSA infections","Susceptibility results for S. aureus isolates, %",null,null,null,"http://ecdc.europa.eu/en/healthtopics/antimicrobial_resistance/database/Pages/table_reports.aspx; (data 2013)",null,null,null,null,"3.6.",10,null,"c","EHCI 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",180,"Incidence of hospital-acquired MRSA infections (/1000 hospital stays)",null,null,null,null,null,null,null,null,null,"QS-2",10,null,"c","Belgium - Vrijens et al. (2015)",null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
["E","Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",180,"Incidence of MRSA Hospital Acquired Infection/1000 admissions","An infection is considered an HAI if all elements of a CDC/NHSN (Centers for Disease Control and Prevention/National Healthcare Safety Networks) site-specific infection criterion were first present together on or after the 3rd hospital day (day of hospital admission is day 1). For an HAI, an element of the infection criterion may be present during the first 2 hospital days as long as it is also present on or after day 3. All elements used to meet the infection criterion must occur within a timeframe that does not exceed a gap of 1 calendar day between elements’",null,null,null,null,null,null,null,null,12,10,null,"c","Malta - Grech et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",180,"Incidence of healthcare associated infection (HSAI) – C. difficile","The number of Clostridium difficile infections reported to Public Health England (PHE), in patients aged two years or older.",null,null,null,null,null,null,null,null,"5.2.ii.",10,null,"c","UK - NHS (2016)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Ann Roinn Sláinte Department of Health. (2015). NHQRS-National Healthcare Quality Reporting System - First annual report 2014. Retrieved from Dublin: http://health.gov.ie/wp-content/uploads/2015/03/NHQRS-Annual-Report-2014.pdf",180,"Clostridium Difficile (C Difficile) Infection Rates","The rate of new cases of Clostridium Difficile in acute hospitals per 10,000 bed days used.",null,"5. Treating and caring for people in a safe environment: Health care associated infection rates",null,"Health Protection Surveillance Centre",null,null,null,null,null,10,null,"c","Ireland - NHQSR (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",181,"Deaths attributable to problems in healthcare","nA",null,null,null,null,null,null,null,null,"5a",10,null,"e/ms","UK - NHS (2016)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",182,"Proportion of patients with category 2, 3 and 4 pressure ulcers","nA",null,null,null,null,null,null,null,null,"5.3.",10,null,"c","UK - NHS (2016)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",183,"Percentages of patients experiencing an adverse event during hospitalisation","Adverse events (treatment-related harm) involving hospital inpatients. Most adverse events are probably attributable to actions, or failures to act, on the part of health care providers.",null,"Getting better: Non-acute curative health care - Quality: patient safety",null,null,null,null,null,null,61,10,null,"c","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",184,"Medical radiation exposure due to inappropriate medical imaging (mSv/capita/year)",null,null,"Appropriateness - Illustrative indications of inefficiency: Over-use of investigations/equipment",null,null,null,null,null,null,"QA-6",10,null,"c","Belgium - Vrijens et al. (2015)",null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
["A","Smith PC, Cylus J & Papanicolas I (2016) Efficiency book, European Observatory …",185,"Duplicate tests ",null,"Duplicate testing indicators provide information on whether a particular test has been administered repeatedly to the same patient within a short period of time. The data is often collected through patient surveys, though it can also be collected using patient records.","What does it tell you, and what does it not tell you?\n\nDuplicate tests can be indicative of inefficient use of resources. Tests can be expensive and if the results of a test are already known, there might not be a good reason to conduct the test again. Alternatively, some tests may have high rates of false positives or false negatives, or be inconclusive; therefore, on some occasions, a provider might need to administer a second test to make an accurate diagnosis. Additionally, patients may require a test to be redone if enough time has passed since the last test and there is a possibility that the results have changed.\n\nWhat should you do next if you find variation?\n\nIf patients are receiving the same tests more than once, it is important to find out where this is happening and what types of tests are being repeatedly administered. For example, it could be that patients are receiving the same tests in a hospital because patient records are not being shared across wards. Or, it could be that patients visit different primary care providers who are unaware that a patient has already been given a particular test in another setting, again because information is not being shared. Alternatively, it could be that tests are being repeated because of the possibility that the results have changed; this should be investigated before taking action that limits access to repeat testing.\n",null,null,null,null,null,null,null,10,null,"c","Smith et al. (2016)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",185,"Sent for duplicate tests in past 2 years",null,null,"Efficiency",null,null,null,null,null,null,null,10,null,"c","CWF Int. Comparison (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",185,"Patients who received chemotherapy in the last 14 days of life (% of terminal cancer patients who died in the year)",null,null,null,null,null,null,null,null,null,"EOL-3",10,null,"c","Belgium - Vrijens et al. (2015)",null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",186,"Consumption of Appropriate Soporifics by the Elderly","Percentage of people age 80 and older who were using appropriate soporifics (zopiklon).",null,null,null,null,null,null,null,null,134,10,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",186,"Drug-drug Interactions among the Elderly",null,null,null,null,null,null,null,null,null,12,10,"Percent of Medicare beneficiaries with dementia, hip/pelvic fracture, or chronic renal failure received prescription in an ambulatory care setting that is contraindicated for that condition","c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",null,"Percent of Medicare beneficiaries with dementia, hip/pelvic fracture, or chronic renal failure received prescription in an ambulatory care setting that is contraindicated for that condition","Percent of Medicare beneficiaries with dementia, hip/pelvic fracture, or chronic renal failure received prescription in an ambulatory care setting that is contraindicated for that condition",null,null,null,"Y. Zhang and S.H. Baik, University of Pittsburgh, analysis of 2011 and 2012 5% sample of Medicare beneficiaries enrolled in stand-alone Medicare Part D plans.",null,null,null,null,14,10,"Percent of Medicare beneficiaries with dementia, hip/pelvic fracture, or chronic renal failure received prescription in an ambulatory care setting that is contraindicated for that condition","e/ms","CWF State Scorecard",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D, E","Consolidated",190,"Patient experience with inpatient care",null,null,null,null,null,null,null,null,null,null,11,"Patient experience with inpatient care [hospitalization (admission/discharge)] refers to: \n*) Caregiver Respect and Consideration during Admission to Hospital, \n*) Information during Admission to Hospital, \n*) Participation during Admission to Hospital, \n*) Satisfaction with Care at Hospital. ","s","Consolidated",4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,1,0,1,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0]
["D","D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",190,"Percent of patients reported hospital staff always managed pain well, responded when needed help to get to bathroom or pressed call button, and explained medicines and side effects","nA",null,null,null,"Hospital Consumer Assessment of Healthcare Providers and Systems Survey data (HCAHPS n.d.) retrieved April 2015 from CMS Hospital Compare (DHHS n.d.).",null,null,null,null,18,11,null,"c","CWF State Scorecard",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",190,"Caregiver Respect and Consideration during Admission to Hospital","\"Did you feel that you were treated respectfully and considerately?\" Percentages for the various responses, 2011. Covers specialised medical care.",null,null,null,"National Patient Survey: ",null,null,null,null,28,11,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",191,"Medicare fee-for-service patients whose health provider always listens, explains, shows respect, and spends enough time with them","Percent of Medicare fee-for-service patients who had a doctor’s office or clinic visit in the last 12 months whose health providers always listened carefully, explained things clearly, respected what they had to say, and spent enough time with them.",null,null,null,"Data from National Consumer Assessment of Healthcare Providers and Systems (CAHPS) Benchmarking Database (AHRQ,",null,null,null,null,15,11,"Percent of Medicare fee-for-service patients who had a doctor’s office or clinic visit in the last 12 months whose health providers always listened carefully, explained things clearly, respected what they had to say, and spent enough time with them.","c","CWF State Scorecard",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",191,"Degree to which health care users report having sufficient consultation time with health care providers",null,null,"Getting better: Non-acute curative health care - Quality: client-centredness",null,null,null,null,null,null,72,11,null,"c","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",192,"Doctor or health care professional gives clear instructions about symptoms, when to seek further care (base: has chronic condition)",null,null,"Patient-centered Care: Engagement and Patient Preferences","percent",null,null,null,null,null,null,11,null,"c","CWF Int. Comparison (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",192,"Doctor always or often explains things in a way that is easy to understand",null,null,"Patient-centered Care: Communication","percent",null,null,null,null,null,null,11,null,"c","CWF Int. Comparison (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",192,"Information at Primary Care Appointments","\"Did you receive enough information about your condition?\" Patient-perceived quality of primary care",null,null,null,"National Patient Survey: ",null,null,null,null,23,11,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",194,"Patient experience with ambulatory care: Doctor giving opportunity to ask questions or raise concerns, ",null,null,null,null,"Commonwealth Fund International Health Policy Survey 2010 and other national sources",null,null,null,null,null,11,null,"c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",195,"Patient experience with ambulatory care: Doctor involving patient in decisions about care and treatment",null,null,null,null,"Commonwealth Fund International Health Policy Survey 2013 and other national sources",null,null,null,null,null,11,null,"c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",195,"Specialist always or often involves patient as much as they want in decisions about care and treatment (base: saw or needed to see specialist in past 2 years)",null,null,"Patient-centered Care: Engagement and Patient Preferences","percent",null,null,null,null,null,null,11,null,"c","CWF Int. Comparison (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",195,"Participation at Primary Care Appointments","\"Did you feel as though you participated in decisions about your care and treatment as much as you wanted?\" Patient-perceived quality of primary care",null,null,null,"National Patient Survey: ",null,null,null,null,24,11,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A, D, E","Consolidated",197,"Satisfaction with healthcare services (% good or very good)",null,null,null,null,null,null,null,null,null,null,11,"Measuring the opinion of the population regarding their personal experience when using health services (hospital care, GP, outpatient care, maternity, mental health care, etc.)","s","Consolidated",12,0,0,0,1,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,2,0,1,2,1,5,0,0,0,5,4,2,0,1,15,0,0,0,0,0]
["A","EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",197,"Responsiveness - Self perceived acceptability of Health Systems","measuring  the  opinion  of  the population regarding the performance of health systems",null,null,null,999,null,null,null,null,"nA",11,null,"c","EXPH 2014",null,0,0,0,0,0,0,0,0,0,0,1]
["D","K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",197,"Rated quality of care fair/poor (by two income categories)","by two income categories: those who reported their incomes as above the country median and those who reported their incomes as below the country median. ",null,null,null,null,null,null,null,null,null,11,null,"c","CWF Int. Comparison (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",197,"Satisfaction with the health care",null,null,"Responsiveness of the health system",null,null,null,null,null,null,null,11,null,"c","Estonia HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",197,"Satisfaction with health care benefit package","check definition",null,"Responsiveness of the health system",null,null,null,null,null,null,null,11,null,"c","Estonia HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",197,"Percentages of clients and their representatives reporting never, or only sometimes, having good experiences with the quality of the care received in the care home and home care sector, in terms of staff-client interaction, communication, engagement in decisions, professionalism, quality of meals and mealtime atmosphere (where appropriate)",null,null,"Living with long-term illness or functional limitations - Quality",null,null,null,null,null,null,84,11,null,"c","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",197,"Perceptions of availability, affordability and quality of dental care, medical and surgical specialists, and family doctors",null,null,"Health system responsiveness",null,null,null,null,null,null,null,11,null,"c","Portugal HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",197,"Confidence in Health Centres","Percentage of the general population who report having high or very high confidence in the care provided by primary care centres or the equivalent.\nThe indicator reflects confidence among members of the general population in primary care regardless of whether or not they had recent contact with a health centre.","Numerator: Number of selected members of the general population for the year reporting that they had high or very high confidence in the care provided by health centres.\nDenominator: All interviewees in the sample of the general population for the year.",null,null,"Healthcare Survey: the purpose is to measure the attitudes, experience, knowledge and expectations of the adult population when it comes to the healthcare system. The rolling survey has been conducted once a year in every county and region since 2001.",null,null,null,null,20,11,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",197,"Patient experience of primary care - GP services","This indicator measures the weighted percentage of people who report their overall experience of GP services as ‘fairly good’ or ‘very good’.\nPatient experience of GP services, measured by scoring the results of one question from the GP Patient Survey.",null,null,null,null,null,null,null,null,"4a.i.",11,null,"c","UK - NHS (2016)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",197,"Patient experience characterised as poor or worse: Hospital care","nA",null,null,null,null,null,null,null,null,"4d.ii.",11,null,"c","UK - NHS (2016)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",197,"Patient experience of outpatient services","The average patient experience measured across the three stages of the care pathway: pre-visit; during the visit to the Outpatients Department; and the transition/post-visit period.",null,null,null,null,null,null,null,null,"4.1.",11,null,"c","UK - NHS (2016)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",197,"Patient experience of community mental health services","Patient experience of community mental health services based on contact with a health and social care worker.",null,null,null,null,null,null,null,null,"4.7.",11,null,"c","UK - NHS (2016)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","Consolidated",199,"Physicians reporting it is easy to print out a list",null,null,null,null,null,null,null,null,null,null,11,"Physicians reporting it is easy to print out a list of: i) patients by diagnosis, ii) all medications taken by individual patients, including those prescribed by other doctors, iii) patients who are due or overdue for tests or preventive care. ","s","Consolidated",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",200,"Pharmacist or doctor did not review and discuss all medications patient uses in the past year (base: taking 2 or more prescriptions regularly)",null,null,"Effective Care: Chronic Care","percent",null,null,null,null,null,null,11,"Survey question. ","s","CWF Int. Comparison (2014)",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",201,"Patients receive reminders for preventive care",null,null,"Effective Care: Prevention","percent",null,null,null,null,null,null,11,"Survey question. ","s","CWF Int. Comparison (2014)",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",205,"Doctor routinely receives and reviews data on patient satisfaction and experiences with care",null,null,"Patient-centered Care: Continuity and Feedback","percent",null,null,null,null,null,null,11,"Survey question. ","s","CWF Int. Comparison (2014)",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",208,"Patient organisation involvement","nA",null,null,null,"Patients' Perspectives of Healthcare Systems in Europe; survey commissioned by HCP 2015. Personal interviews.",null,null,null,null,"1.2.",11,"nA","s","EHCI 2015",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D, E","Consolidated",214,"Proportion of population that accesses own health data on-line",null,null,null,null,null,null,null,null,null,null,11,"Proportion of the population aged 14 and over that has successfully logged into online services that provide access to the person’s own health data","s","Consolidated",3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0]
["D","Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",214,"E portal uptake and use","nA",null,"‘Person centred care’",null,null,null,null,null,null,"3.1.",11,null,"c","MoH New Zealand 2016",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",216,"Percentages of professional care providers expressing satisfaction with the quality of care delivered by their organisation",null,null,"Living with long-term illness or functional limitations - Quality",null,null,null,null,null,null,81,12,"Survey question. ","s","Netherlands - van den Berg et al. (2015)",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
["A","Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",220,"Share of generics in the total pharmaceutical market","Market shares in volume of generics in all pharmaceutical products consumed, 2010 or most recent data; Generics are therapeutic alternatives to originator medicines. They are as effective, but on average cheaper than the respective off-patent originals.",null,null,null,null,null,null,null,null,26,13,"Market shares in volume of generics in all pharmaceutical products consumed","c","Eckfeldt et al. 2014 (DG-ECFIN)",null,0,null,1]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",220,"Use of low-cost medication (% of total ambulatory DDDs)",null,null,"Efficiency of care",null,null,null,null,null,null,"E-3",13,null,"c","Belgium - Vrijens et al. (2015)",null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
["E","Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",220,"Generic share of pharmaceuticals in value/volume (public)","‘A generic is defined as a pharmaceutical product which has the same qualitative and quantitative composition in active substances and the same pharmaceutical form as the reference product, and whose bioequivalence with the reference product has been demonstrated. Generics can be classified in branded generics (generics with a specific trade name) and unbranded generics (which use the international non-proprietary name and the name of the company)’.","Value: ‘Data are collected as a share expressed in value. Values can for instance be the turnover of pharmaceutical companies, the amount paid for pharmaceuticals by third-party payers, or the amount paid by all payers (third-party and consumers). Market value are most often at ex-factory prices, while amounts paid by third-party payers (and consumers) are in general at retails prices’.\nVolume: ‘Data are collected as a share expressed in volume. Volumes can be expressed in DDDs or as a number of packages/boxes or standard units’",null,null,null,null,null,null,null,45,13,null,"c","Malta - Grech et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",222,"W.A.I.T indicator for innovative medicinesa (in days)","W.A.I.T indicator defined as average number of days between marketing authorisation and patient access","The rate of availability, measured by the number of medicines available to patients in European countries, compared to the number of medicines with EU MA granted in the reference period;\nThe average time between marketing authorisation and patient access, measured by the number of days elapsing from the date of EU marketing authorisation (MA) to the day of completion of post-marketing authorisation administrative processes.","In 2012 the European Commission enacted the EC Transparency Directive 89/105/EEC mandating no more than 120 days of delay for national pricing and reimbursement decision. Monitoring this delay ensures that Belgium fulfils this criteria, and that patients get timely access to innovative medicines.\nHowever, this period should not necessarily be interpreted as an undue delay: the time between the MA and patient access reflects the pricing and reimbursement procedure necessary to evaluate e.g. the therapeutic value, therapeutic and societal needs, the budgetary impact for the health insurance and the cost-effectiveness of the new medicine.",null,"European Federation of Pharmaceutical Industries and Associations (EFPIA) reports\nSimilar reports have been prepared for cancer drugs, innovative treatments in rheumatoid arthritis, and multiple sclerosis.\nEFPIA reports have also recently been updated by IMS3 and show similar conclusions.",null,null,null,null,"S-12",13,"W.A.I.T indicator defined as average number of days between marketing authorisation and patient access","c","Belgium - Vrijens et al. (2015)",null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",225,"Numbers of multiple-bed rooms in residential and nursing homes",null,null,"Living with long-term illness or functional limitations - Quality",null,null,null,null,null,null,79,14,"nA","s","Netherlands - van den Berg et al. (2015)",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
["A","European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",226,"Age structure, EU28",null,null,null,null,"Eurostat, Europop 2013",null,null,null,null,7,14,null,"c","European Pillar of Social Rights",null,0,0,0,0,0,0,0,0,1]
["C","World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",226,"Population aged ≥ 65 years (% of total)",null,null,null,null,null,null,null,null,null,2,14,null,"c","WHO Core Health 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",227,"Old age dependency ratio","Population 65 and over to population 15 to 64 years.",null,null,null,"Eurostat (Demographic data)",null,null,null,null,"S-1",14,"Population 65 and over to population 15 to 64 years.","c","JAF Health (DG EMPL)",null,0,0,0,0,0,0,0,0,0,0,0,1]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",227,"Degree to which the quality of Dutch dementia care differs from that in other European countries",null,null,"Living with long-term illness or functional limitations - Quality",null,null,null,null,null,null,86,14,"nA","ms","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",229,"Female Long-Term Care Residents ",null,null,"Facility Characteristics",null,"·      Canadian Institute for Health Information",null,null,null,null,null,14,null,"c","CIHI In Depth (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",229,"Long-Term Care Residents Older Than 85",null,null,"Facility Characteristics",null,"·      Canadian Institute for Health Information",null,null,null,null,null,14,null,"c","CIHI In Depth (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",229,"Long-term care in residential facility (% pop aged 65+)","a) Home for the elderly in Dutch: woonzorgcentra (previously called rustoorden voor bejaarden – ROB) and in French: maison de repos pour personnes âgées (MRPA)\nb) Nursing home in Dutch: rust- en verzorgingstehuis (RVT) and in French: maison de repos et de soins (MRS)",null,null,null,null,null,null,null,null,"LT-1",14,null,"c","Belgium - Vrijens et al. (2015)",null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
["D","CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",231,"Improved Physical Functioning in Long-Term Care","Percentage of Residents Whose Status Improved on Mid-Loss ADL Functioning (Transfer and Locomotion) or Remained Completely Independent in Mid-Loss ADLs. \nThis indicator looks at how many long-term care residents improved or remained independent in transferring and locomotion. Being independent or showing an improvement in these 2 activities of daily living (ADLs) may indicate an improvement in overall health status and provide a sense of autonomy for the resident.","This indicator examines the percentage of residents who improved or remained independent in transferring and locomotion (mid-loss ADLs). It is calculated by dividing the number of residents whose mid-loss ADLs improved or who remained independent by the number of all residents (excluding comatose and end-of-life residents) with valid assessments within the applicable time period.","his indicator looks at how many long-term care residents improved or remained independent in transferring and locomotion. Being independent or showing an improvement in these 2 activities of daily living (ADLs) may indicate an improvement in overall health status and provide a sense of autonomy for the resident.\nHigher is better. It means that a higher percentage of residents improved or remained independent in transferring and locomotion (mid-loss ADLs).",null,"·      Canadian Institute for Health Information",null,null,"http://indicatorlibrary.cihi.ca/display/HSPIL/Improved+Physical+Functioning+in+Long-Term+Care",null,null,14,"Percentage of Residents Whose Status Improved on Mid-Loss ADL Functioning (Transfer and Locomotion) or Remained Completely Independent in Mid-Loss ADLs. \nThis indicator looks at how many long-term care residents improved or remained independent in transferring and locomotion. Being independent or showing an improvement in these 2 activities of daily living (ADLs) may indicate an improvement in overall health status and provide a sense of autonomy for the resident.","c","CIHI In Depth (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",232,"Worsened Depressive Mood in Long-Term Care","This indicator looks at the number of long-term care residents whose mood from symptoms of depression worsened. Depression affects quality of life and may also contribute to deteriorations in activities of daily living (ADLs) and an increased sensitivity to pain.","This indicator examines the percentage of residents whose mood from symptoms of depression worsened. It is calculated by dividing the number of residents whose mood from symptoms of depression worsened by the number of all residents (excluding comatose residents) with valid assessments whose depression symptoms could worsen within the applicable time period.","This indicator looks at the number of long-term care residents whose mood from symptoms of depression worsened. Depression affects quality of life and may also contribute to deteriorations in activities of daily living (ADLs) and an increased sensitivity to pain.\nLower is better. It means that a lower percentage of residents had symptoms of depression that worsened.",null,"·      Canadian Institute for Health Information",null,null,"http://indicatorlibrary.cihi.ca/display/HSPIL/Worsened+Depressive+Mood+in+Long-Term+Care",null,null,14,"This indicator looks at the number of long-term care residents whose mood from symptoms of depression worsened. Depression affects quality of life and may also contribute to deteriorations in activities of daily living (ADLs) and an increased sensitivity to pain.","s","CIHI In Depth (2014)",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",235,"Proportion of people feeling supported to manage their long-term condition","The directly standardised proportion of people with a long-term health condition who report having had enough support from local services or organisations to help manage their condition, in the last six months. Patients are asked to consider all services and organisations, not just health services. This is expressed as a percentage.",null,null,null,"GP Patient Survey (GPPS) from Ipsos MORI (http://www.gp-patient.co.uk/) – Official Statistics",null,null,null,null,"2.1.",14,"The directly standardised proportion of people with a long-term health condition who report having had enough support from local services or organisations to help manage their condition, in the last six months. Patients are asked to consider all services and organisations, not just health services. This is expressed as a percentage.","s","UK - NHS (2016)",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
["D","CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",236,"Falls in the Last 30 Days in Long-Term Care","Percentage of Residents Who Fell in the Last 30 Days","This indicator examines the percentage of residents who fell in the 30 days leading up to the date of their quarterly clinical assessment. It is calculated by dividing the number of residents who had a fall in those 30 days by the number of all residents with valid assessments within the applicable time period.","This indicator looks at how many long-term care residents fell in the 30 days leading up to the date of their quarterly clinical assessment. Falls are the leading cause of injury for seniors and contribute to a significant burden on the health care system. Residents are at a higher risk of falling if they have a history of falls or are taking certain medications. Preventing falls increases the safety and quality of care of residents.\nLower is better. It means that a lower percentage of long-term care residents had a fall in the month leading up to their quarterly assessment.",null,"·      Canadian Institute for Health Information",null,null,"http://indicatorlibrary.cihi.ca/display/HSPIL/Falls+in+the+Last+30+Days+in+Long-Term+Care",null,null,14,null,"c","CIHI In Depth (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",236,"Avoidable problems in clients in care homes and home care: pressure ulcers, malnutrition, malnutrition risks, falls, restraint use",null,null,"Living with long-term illness or functional limitations - Quality",null,null,null,null,null,null,80,14,"*) Prevalence of pressure ulcers (grade II-IV) in home for the elderly (% of residents), \n*) Falls in the Last 30 Days in Long-Term Care, \n*) Restraint Use in Long-Term Care: This indicator examines the percentage of residents in daily physical restraints. It is calculated by dividing the number of residents who were in daily physical restraints by the number of all residents with valid assessments within the applicable time period.\n","c","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",237,"Elderly patients with prescription of long-term benzodiazepines or related drugs",null,"Numerator: Number of users ≥ 65 years of age at 1 January with > 365 DDDs of benzodiazepines (N05BA or N05CD or N05CF)\nDenominator: population ≥ 65 years of age at 1 January in database\nNote: If your database does not report DDD, please derive indicator using > 365 days of benzodiazepines per year",null,null,null,null,null,null,null,null,14,null,"c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",237,"Long-stay nursing home residents with an antipsychotic medication","The percent of long-stay nursing home residents that received an antipsychotic medication, excluding residents with Schizophrenia, Tourette’s syndrome, and Huntington’s disease.",null,null,null,"2013 and 2014 Minimum Data Set (CMS, MDS n.d.) as reported in CMS Nursing Home Compare, 2013 and 2014 single quarter quality measure summary files. Data retrieved October 2015 from CMS Nursing Home compare.",null,null,null,null,22,14,"The percent of long-stay nursing home residents that received an antipsychotic medication, excluding residents with Schizophrenia, Tourette’s syndrome, and Huntington’s disease.","c","CWF State Scorecard",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",237,"Polymedication (5 or more different medicines within last 24 hours) (% pop aged 65+)","Proportion of the population aged 65 years and older reporting having taken respectively 5 or 9 or more different medicines during the last 24 hours. by specific groups of medicines (e.g. lipid modifying agents, antithrombotic agents, antidepressants, etc.)","Numerator: number of people aged 65 years and older participating to the Health Interview Survey (HIS), reporting having taken respectively 5 or 9 or more medicines during the last 24 hours. Are considered here as medicines only the official medicines that are listed in the Annotated Medicines Registry published by the Belgian Centre for Pharmacotherapeutic Information (BCPI).\nDenominator : number of people aged 65 years and older participating to the HIS",null,null,null,null,null,null,null,"QS-6",14,null,"c","Belgium - Vrijens et al. (2015)",null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",237,"Polypharmacy – Elderly Who Consume Ten or More Drugs",null,null,null,null,null,null,null,null,null,11,14,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",239,"Frequency of care provided by informal carers",null,null,null,null,null,null,null,null,null,null,14,"daily, weekl (% of carers)","s","Health at a Glance 2015",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",240,"Percentages of informal carers reporting problems with their own social participation as a result of their care provision",null,null,"Living with long-term illness or functional limitations - Quality",null,null,null,null,null,null,88,14,"Survey question. ","s","Netherlands - van den Berg et al. (2015)",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",242,"Long-term care workers per 100 people aged 65 and over",null,null,null,null,null,null,null,null,null,null,14,"Workers per 100 people aged 65+","s","Health at a Glance 2015",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",244,"Life expectancy by educational attainment","Life expectancy at a given age represents the average number of years of life remaining if a group of persons at that age were to experience the mortality rates for a particular year over the course of their remaining life.\nLife expectancy at birth is a summary measure of the age-specific all cause mortality rates in an area in a given period.","Life expectancies are calculated using (abridged) life tables presenting age specific mortality rates. Life\nexpectancy tables are calculated based on death probabilities according to Farr’s death rate method: qx = Mx\n/ (Bx + (Mx/2)) where Mx = the number of deaths at the age of x to under x+1 years in the reported period;\nBx = average population aged x to under x+1 in the base period; qx = death probability from age x to x+1.\nFarr’s method of calculation of abridged life-tables assumes that there is a constant mortality within the age\nintervals and thus the years of life lived by a person dying in the interval is (on average) half of the length of\nthe interval.","Basic indicator for population health. It reflects the cumulative effect of the impact of risk factors, occurrence and severity of disease, and the effectiveness of interventions and treatment.","Number of years","Eurostat","age group (including at birth and at age 65), sex, socio-economic status","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=demo_mlexpec&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/demo_mor_esms.htm","http://ec.europa.eu/health/indicators/docs/echi_10_ds_en.pdf","10(B)",15,null,"c","ECHI",null,1]
["A","ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",244,"Life expectancy at 65 years of age (total population, men / women)","Average number of years of life remaining at the age of 65",null,"health status",null,null,null,null,null,null,"nA",15,null,"c","ESIF for Health 2015",null,0,null,null,1]
["A","EC, Europe 2020 (2015) European Semester Thematic Fiche: Health and Health Systems, from http://ec.europa.eu/europe2020/pdf/themes/2015/health-and-health-systems.pdf",244,"life expectancy",null,null,null,null,null,null,null,null,null,"nA",15,null,"c","EU Semester thematic fiche Health 2015 (DG-ECFIN)",null,0,null,null,null,1]
["A","EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",244,"Life Expectancy at Birth",null,null,null,null,"Eurostat",null,null,null,null,"nA",15,null,"c","EXPH 2014",null,0,0,0,0,0,0,0,0,0,0,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",244,"Life expectancy at birth by sex","Life expectancy at birth measures how long, on average,\npeople would live based on a given set of age-specific\ndeath rates. However, the actual age-specific death\nrates of any particular birth cohort cannot be known in\nadvance. If age-specific death rates are falling (as has\nbeen the case over the past decades), actual life spans\nwill be higher than life expectancy calculated with\ncurrent death rates.","Life expectancy at birth for the total population is calculated by the OECD Secretariat for all OECD countries, using the unweighted average of life expectancy of men and women.\n\nLife expectancy at birth and at ages 40, 60, 65 and 80 years old is the average number of years\nthat a person at that age can be expected to live, assuming that age-specific mortality levels\nremain constant.",null,null,"Eurostat",null,null,null,null,1,15,null,"c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["C","WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",244,"Life expectancy at birth, disaggregated by sex","Life expectancy at birth is the average number of years a newborn could expect to live if he or she were to pass through life exposed to the sex- and age- specific death rates prevailing at the time of his or her birth for a specific year, in a given country, territory or geographical area.",null,"Life expectancy at birth reflects the overall mortality level of a population. It summarizes the mortality pattern that prevails across all age groups – children and adolescents, adults and the elderly.",null,"HFA","Sex",null,null,null,7,15,null,"c","WHO Health 2020",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",244,"Life expectancy by gender","The number of years that a baby born in a given year can expect to live, if age-specific death rates do not change.",null,null,null,null,null,null,null,null,null,15,null,"c","AIHW. (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",244,"Life expectancy at birth",null,null,"Life expectancy is a validated, readily available, and easily comprehensible indicator for a critical health concept - length of life - based on the simple logic that healthier people tend to live longer. Because life expectancy depends on a full range of individual and community influences on health - from cancer to homocide - it provides an inclusive, high-level indicator for health, broadly defined. ",null,"CDC",null,null,null,null,"nA",15,null,"c","IOM 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",244,"Changes in life expectancy 2000 versus 2008 attributable to different disease groups","check definition",null,"Health status (level and distribution): life expectancy",null,null,null,null,null,null,null,15,null,"c","Estonia HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",244,"Life Expectancy",null,null,null,null,null,null,null,null,null,1,15,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",244,"Life Expectancy at birth, at age 30, by sex",null,null,null,null,null,null,null,null,null,1,15,null,"c","Sweden - Socialstyrelsen. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A, B, C, D, E","Consolidated",246,"Healthy Life Years (HLY)",null,null,null,null,null,null,null,null,null,null,15,"Total population, at birth and at age 65 disaggregated by sex.\nThe indicator of healthy life years (HLY) measures the number of remaining years that a person of specific age is expected to live without any severe or moderate health problems. The notion of health problem for Eurostat's HLY is reflecting a disability dimension and is based on a self-perceived question which aims to measure the extent of any limitations, for at least six months, because of a health problem that may have affected respondents as regards activities they usually do (the so-called GALI - Global Activity Limitation Instrument foreseen in the annual EU-SILC survey). The indicator is therefor also called disability-free life expectancy (DFLE). So, HLY is a composite indicator that combines mortality data with health status data.","s","Consolidated",18,3,0,0,1,1,0,1,1,0,0,1,1,2,2,2,0,1,2,0,1,0,0,0,1,0,0,0,3,1,0,0,0,0,1,0,0,0,0,1,0,0,0,0]
["A","EC, Europe 2020 (2015) European Semester Thematic Fiche: Health and Health Systems, from http://ec.europa.eu/europe2020/pdf/themes/2015/health-and-health-systems.pdf",246,"Healthy Life Years at birth by gender",null,null,null,null,null,null,null,null,null,"nA",15,null,"c","EU Semester thematic fiche Health 2015 (DG-ECFIN)",null,0,null,null,null,1]
["A","Eurostat (2015) Sustainable development indicators, from http://ec.europa.eu/eurostat/web/sdi/indicators ",246,"Healthy life years by sex",null,null,null,null,null,null,null,"http://ec.europa.eu/eurostat/cache/metadata/DE/tsdph100_esmsip.htm",null,"nA",15,null,"c","Eurostat - SDI",null,0,0,0,0,0,0,0,1]
["A","European Commission (2014). Comparative efficiency of health systems, corrected for selected lifestyle factors. Retrieved from http://ec.europa.eu/health/systems_performance_assessment/docs/2015_maceli_report_en.pdf",246,"healthy life years at birth (HLY)",null,null,null,null,null,null,null,null,null,null,15,null,"c","EC-MACELI 2014",null,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",246,"Healthy life years at 65-females",null,null,null,null,"Eurostat (EU-SILC)",null,null,null,null,null,15,null,"c","SPC - SPPM (DG EMPL)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",246,"Healthy life expectancy at age 60 (average of women and men)","nA",null,null,null,"WHO Global Health Observatory Data Repository",null,null,null,null,null,15,null,"c","CWF Int. Comparison (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",246,"Disability-free life expectancy",null,null,"Health status (level and distribution): life expectancy without disabilities",null,null,null,null,null,null,null,15,null,"c","Estonia HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A, B, C, D",null,246,"Health expectancy: Healthy Life Years (HLY) at 65",null,null,null,null,null,null,null,null,null,null,15,"Expected remaining years lived at age 65 a) in good perceived health and b) without self-reported chronic morbidity, population by sex.","c999","Consolidated",null,0]
["A","EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",247,"Potential years of life lost (PYLL)  (total, by SES)","Current OECD definition: Potential Years of Life Lost (PYLL) is a summary measure of premature mortality which provides an explicit way of weighting deaths occurring at younger ages, which are, a priori, preventable. The calculation of PYLL involves summing up deaths occurring at each age multiplying this with the number of remaining years to live up to a selected age limit (70 years for OECD Health data calculation).","http://www.oecd.org/eco/growth/2732311.pdf",null,null,"Eurostat (possible sources: COD and Demographic data)",null,null,null,null,"H-7",15,"Current OECD definition: Potential Years of Life Lost (PYLL) is a summary measure of premature mortality which provides an explicit way of weighting deaths occurring at younger ages, which are, a priori, preventable. The calculation of PYLL involves summing up deaths occurring at each age multiplying this with the number of remaining years to live up to a selected age limit (70 years for OECD Health data calculation).","c","JAF Health (DG EMPL)",null,0,0,0,0,0,0,0,0,0,0,0,1]
["D","D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",247,"Years of potential life lost before age 75","nA",null,null,null,"Robert Wood Johnson Foundation analysis of National Vital Statistics System Mortality Data, 2012 and 2013, using the Centers for Disease Control and Prevention (CDC) National Center for Injury Prevention and Control Web-based Injury Statistics Query and Reporting System (WISQARS). Retrieved September 2015 from Robert Wood Johnson Foundation National DataHub. (NVSS 2012 and 2013).",null,null,null,null,33,15,null,"c","CWF State Scorecard",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",247,"Potential years of life lost from causes considered amenable to healthcare – adults","The number of years of life lost by every 100,000 adults aged 20 and over dying from conditions which are usually treatable, measured in a way which allows for comparisons between populations with different age profiles and over time.","The PYLL rate is calculated by weighting the number of ‘amenable’ deaths in a given year by the number of additional years the person who died might have been expected to live in the presence of timely and effective healthcare.\nThe average age-specific life expectancies for each five-year age band are used to weight the number of deaths in that age band to give the average number of years of life lost for that age band. The life expectancy for the 90+ age band is calculated as an average of the single-year life expectancies for ages 90 to 100. This is then applied to the number of deaths for people aged 90 or over. The age-specific period life expectancy is different for each year and gender and can be found in appendices 2a and 2b. The total number of years of life lost for males and females is summed for each age band and the result is expressed as a European age-standardised rate per 100,000 population. For person-level PYLL values the total number of years of life lost for males and females is added up to get a years of life lost (YLL) value for all persons. This is then expressed as a European age-standardised rate per 100,000 population as for males and females.",null,null,null,"by age, gender, geo area",null,null,null,"1a.i.",15,null,"c","UK - NHS (2016)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",247,"Potential years of life lost from causes considered amenable to healthcare – children and young people","The number of years of life lost by every 100,000 persons aged 0 to 19 dying from conditions which are usually treatable, measured in a way which allows for comparisons between populations with different age profiles and over time.","The PYLL rate is calculated by weighting the number of ‘amenable’ deaths in a given year by the number of additional years the person who died might have expected to live in the presence of timely and effective healthcare.\nThe average age-specific life expectancies for each five-year age band are used to weight the number of deaths in that age band to give the average number of years of life lost for that age band. The age-specific period life expectancy is different for each year and gender and can be found in appendices 2a and 2b. The total number of years of life lost for males and females is summed for each age band and the result is expressed as a European age-standardised rate per 100,000 population. For person-level PYLL values the total number of years of life lost for males and females is added up to get a years of life lost (YLL) value for all persons. As for males and females, this is then expressed as a European age-standardised rate per 100,000 population.",null,null,null,"by gender",null,null,null,"1a.ii.",15,null,"c","UK - NHS (2016)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",249,"Percentage of live births at home with an Apgar score at 5 minutes of less than 7",null,null,"Antenatal, perinatal and postpartum care - Quality: midwifery",null,null,null,null,null,null,8,15,null,"c","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","Euro-Peristat. (2012). Euro-Peristat project - Better statistics for better health for pregnant women and their babies.   Retrieved from http://www.europeristat.com/",250,"Infant mortality rate by gestational age, birth weight, plurality","The number of deaths (day 0-364) after live birth in a given year per 1000 live births in the same year calculated by gestational age, birth weight and plurality.\nThis rate is presented for all births at or after 22 completed weeks of gestation.\nCohort rates (deaths after live birth in the year, even if the deaths occur in the following year) are also collected by the Euro-Peristat project",null,null,null,null,null,null,null,null,"C3",15,null,"c","Europeristat",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0]
["A","EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",250,"Infant mortality rate (total)","Ratio of the number of deaths of children under one year of age during the year to the number of live births in that year. The value is expressed per 1 000 live births.",null,null,null,"Eurostat (Demographic data)",null,null,null,null,"H-5",15,null,"c","JAF Health (DG EMPL)",null,0,0,0,0,0,0,0,0,0,0,0,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",250,"Infant mortality","The infant mortality rate is the number of deaths of\nchildren under one year of age, expressed per\n1 000 live births.",null,null,null,null,null,null,null,null,2,15,"Deaths per 1 000 live births","c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",250,"Life expectancy: Infant mortality",null,null,null,null,null,null,null,null,null,"nA",15,null,"c","IOM 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",250,"Infant deaths per 1,000 live births",null,null,null,null,"WHO",null,null,null,null,null,15,null,"c","Hungary HSPA (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["B","Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",251,"Perinatal mortality per 1.000 births","Includes both late foetal deaths and early neonatal infant deaths",null,null,null,null,"nA",null,null,null,"nA",15,null,"c","Joumard et al. 2010",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",251,"Perinatal mortality",null,null,"Improving the health status of the Portuguese",null,null,null,null,null,null,null,15,null,"c","Portugal HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",251,"Foetal Mortality Rate","Foetal mortality after the 28th week of pregnancy. Rate per 1 000 births. Age-standardised.",null,null,null,null,null,null,null,null,43,15,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","Euro-Peristat. (2012). Euro-Peristat project - Better statistics for better health for pregnant women and their babies.   Retrieved from http://www.europeristat.com/",252,"Neonatal mortality rate by gestational age, birth weight, plurality","The number of neonatal deaths (day 0 through 27) after live birth in a given year per 1000 live births in the same year calculated by gestational age, birth weight and plurality.\nThis rate is presented for all births at or after 22 completed weeks of gestation.\nThis rate is sub-divided by timing of death into early neonatal deaths (0-6 days of life) and late neonatal deaths (7-27 days).",null,null,null,null,null,null,null,null,"C2",15,"The number of neonatal deaths (day 0 through 27) after live birth in a given year per 1000 live births in the same year calculated by gestational age, birth weight and plurality.\nThis rate is presented for all births at or after 22 completed weeks of gestation.\nThis rate is sub-divided by timing of death into early neonatal deaths (0-6 days of life) and late neonatal deaths (7-27 days).","c","Europeristat",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0]
["E","Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",253,"Postneonatal deaths per 1,000 live births",null,null,null,null,"WHO",null,null,null,null,null,15,null,"c","Hungary HSPA (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","Euro-Peristat. (2012). Euro-Peristat project - Better statistics for better health for pregnant women and their babies.   Retrieved from http://www.europeristat.com/",362,"Fetal mortality rate by gestational age, birth weight, plurality","The number of fetal deaths at or after 22 completed weeks of gestation in a given year per 1000 live and stillbirths in the same year calculated by gestational age, birth weight\nand plurality.\nFetal deaths are differentiated by whether they are spontaneous fetal deaths or result from a termination of pregnancy.\nCohort rates (deaths after live birth in the year, even if the deaths occur in the following year) are also collected by the Euro-Peristat project.",null,null,null,null,null,null,null,null,"C1",15,"The number of fetal deaths at or after 22 completed weeks of gestation in a given year per 1000 live and stillbirths in the same year calculated by gestational age, birth weight\nand plurality.\nFetal deaths are differentiated by whether they are spontaneous fetal deaths or result from a termination of pregnancy.\nCohort rates (deaths after live birth in the year, even if the deaths occur in the following year) are also collected by the Euro-Peristat project.","s","Europeristat",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0]
["E","WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",254,"child mortality rate",null,null,"Health status (level and distribution): changes in mortality rates",null,null,null,null,null,null,null,15,null,"c","Estonia HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["C","WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",255,"Maternal deaths per 100 000 live births (ICD-10 codes O00–O99)","The maternal mortality ratio is the annual number of female deaths from any cause related to or aggravated by pregnancy or its management (excluding accidental or incidental causes), during pregnancy and childbirth or within 42 days of termination of pregnancy, irrespective of the duration and site of the pregnancy, per 100 000 live births, for a specified year.",null,"Complications during pregnancy and childbirth are a leading cause of death and disability among women of reproductive age in developing countries. The maternal mortality ratio represents the risk associated with each pregnancy: the obstetric risk. It is also a Millennium Development Goal indicator for monitoring Goal 5 – improving maternal health.\nThe indicator monitors deaths related to pregnancy and childbirth. It reflects the capacity of health systems to provide effective health care to prevent and address the complications occurring during pregnancy and childbirth.",null,"HFA (49)","nA",null,null,null,"16.1.",15,"The maternal mortality ratio is the annual number of female deaths from any cause related to or aggravated by pregnancy or its management (excluding accidental or incidental causes), during pregnancy and childbirth or within 42 days of termination of pregnancy, irrespective of the duration and site of the pregnancy, per 100 000 live births, for a specified year.","c","WHO Health 2020",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",256,"Avoidable mortality rate: amenable and preventable deaths","Avoidable mortality: A death is considered avoidable if, in the light of medical knowledge and technology or in the light of understanding of the determinants of health at the time of death, all or most deaths from that cause (subject to age limits if appropriate) could be avoided through good quality healthcare (amenable mortality) or by public health interventions in the broadest sense (preventable mortality). More precisely: \nA death is amenable if, in the light of medical knowledge and technology at the time of death, all or most deaths from that cause could be avoided through good quality health care. \nA death is preventable if, in the light of understanding of the determinants of health at the time of death, all or most deaths from that cause could be avoided by public health interventions in the broadest sense.",null,"Assessing the performance of health care systems is of increasing importance in the EU. While amenable and preventable mortality indicators are not meant to be a definite measurement of the quality of the health care in Member States, they provide some indication for the quality and performance of health care and (wider) public health policies in a country. In addition to health care and public health policies, other factors related to the likelyhood of individuals to contract a disease or to seek medical advice - such as education, social class, health beliefs, levels of concerns, costs of diagnosis and treatment - are likely to influence the amount of amenable and preventable deaths in countries.[9] Improvements in health policies should translate into lower values for amenable and preventable deaths. However, there is likely to be a long time lag between implementation of health (care) policies and changes in the mortality rates, and hence conclusions need to be drawn with caution. ",null,"Eurostat (COD)",null,"http://ec.europa.eu/eurostat/statistics-explained/index.php/Amenable_and_preventable_deaths_statistics","http://ec.europa.eu/eurostat/product?code=hlth_cd_apreu&language=en&mode=view","http://ec.europa.eu/eurostat/cache/metadata/Annexes/hlth_cdeath_esms_an4.pdf\nhttp://ec.europa.eu/eurostat/cache/metadata/en/hlth_cdeath_esms.htm","H-8a/b",15,"Avoidable mortality: A death is considered avoidable if, in the light of medical knowledge and technology or in the light of understanding of the determinants of health at the time of death, all or most deaths from that cause (subject to age limits if appropriate) could be avoided through good quality healthcare (amenable mortality) or by public health interventions in the broadest sense (preventable mortality). More precisely: \nA death is amenable if, in the light of medical knowledge and technology at the time of death, all or most deaths from that cause could be avoided through good quality health care. \nA death is preventable if, in the light of understanding of the determinants of health at the time of death, all or most deaths from that cause could be avoided by public health interventions in the broadest sense.","c","JAF Health (DG EMPL)",null,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",256,"Avoidable Deaths","Potentially Avoidable Mortality number of deaths for for every 100,000 people that could potentially have been avoided through better treatment and prevention efforts.","This indicator examines deaths in people younger than 75 from both preventable and treatable causes. Deaths from preventable causes are those that might have been avoided through efforts such as vaccinations, lifestyle changes (such as quitting smoking) or injury prevention. Deaths from treatable causes are those that could potentially have been avoided through effective screening and treatment of disease. It is calculated by dividing the number of deaths from avoidable causes for those age 75 and younger by the mid-year population age 75 and younger.","Avoidable deaths tell us about the effectiveness of health care, health promotion and disease prevention policies in preventing premature deaths. It counts the number of deaths for every 100,000 people that could potentially have been avoided through better treatment and prevention efforts.\nLower is better. It means that fewer Canadians died prematurely from preventable or treatable causes. Differences in avoidable mortality between places and groups can help us see where the health system has made gains and where more work is needed.",null,"·      Vital Statistics, Statistics Canada",null,null,"http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=1114195",null,null,15,null,"c","CIHI In Depth (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",256,"Potential gains in life expectancy in days if avoidable mortality were avoided in 2008",null,null,"Health expenditure and efficiency: efficiency",null,null,null,null,null,null,null,15,null,"c","Estonia HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",257,"Preventable mortality","Total number of deaths which can be attributed to preventable deaths (list of ICD codes defined by Eurostat's TS Satellite list).",null,null,null,"Eurostat (COD)",null,null,null,null,"H-8b",15,null,"c","JAF Health (DG EMPL)",null,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",257,"Avoidable Deaths from Ischaemic Heart Disease","The indicator measures the number of deaths from ischaemic heart disease per 100 000 inhabitants younger than 80.",null,null,null,null,null,null,null,null,4,15,null,"c","Sweden - Socialstyrelsen. (2013)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",257,"Avoidable deaths from ischaemic heart disease per 100 000 inhabitants age 1–79",null,null,null,null,null,null,null,null,null,8,15,null,"c","Sweden - Socialstyrelsen. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",258,"Amenable mortality","Total number of deaths which can be attributed to amenable deaths (list of ICD codes defined by Eurostat's TS Satellite list).",null,null,null,"Eurostat (COD)",null,"http://ec.europa.eu/eurostat/statistics-explained/index.php/Amenable_and_preventable_deaths_statistics","http://ec.europa.eu/eurostat/product?code=hlth_cd_apreu&language=en&mode=view","http://ec.europa.eu/eurostat/cache/metadata/Annexes/hlth_cdeath_esms_an4.pdf\nhttp://ec.europa.eu/eurostat/cache/metadata/en/hlth_cdeath_esms.htm","H-8a",15,null,"c","JAF Health (DG EMPL)",null,0,0,0,0,0,0,0,0,0,0,0,1]
["D","K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",258,"Mortality amenable to health care (deaths per 100,000)","nA",null,null,null,"2006–07 World Health Organization (WHO) mortality data; Canada data from 2002–03.",null,null,null,null,null,15,null,"c","CWF Int. Comparison (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",258,"Amenable mortality","‘Potential Years of Life Lost (PYLL) is a summary measure of premature mortality which provides an explicit way of weighting deaths occurring at younger ages, which are, a priori, preventable’.","‘The calculation of PYLL involves summing up deaths occurring at each age and multiplying this with the number of remaining years to live up to a selected age limit’",null,null,null,null,null,null,null,38,15,null,"c","Malta - Grech et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A, B, C, D, E","Consolidated",259,"Standardized mortality rate from all causes, disaggregated by age, sex and cause of death",null,null,null,null,null,null,null,null,null,null,15,"Standardised death rate caused by specific diseases or disease groups per 100,000 inhabitants for the following ICD-10 codes: Total (All Causes), Infectious & Parasitic Diseases, AIDS (HIV Disease), Malignant Neoplasms, Malignant Neoplasm of Stomach, Malignant Neoplasm of Colon, Malignant Neoplasm of Larynx & Trachea / Bronchus / Lung, Malignant Melanoma of Skin, Malignant Neoplasm of Breast, Malignant Neoplasm of Cervix, Malignant Neoplasm of Prostate, Malignant Neoplasm of Lymphatic / Haematopietic Tissue, All Childhood Cancers (Age 0-14 Years), Mental and Behavioural Disorders, Diseases of the Circulatory System, Ischaemic Heart Disease, Cerebrovascular Disease, Diseases of the Respiratory System, Chronic Lower Respiratory Diseases, Diseases of the Digestive System, External Causes of Injury & Poisoning, Accidents, Transport Accidents, Accidental Falls, Suicide & Intentional Self Harm, Homicide / Assault. ","s","Consolidated",20,5,0,0,0,0,0,1,2,0,1,0,1,0,0,0,0,10,0,0,8,1,0,0,3,3,3,0,1,2,2,0,2,0,2,1,1,0,6,1,0,0,0,0]
["E","Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",259,"age-standardized death rates hernia (0-64 years, per 10,000 inhabitants)","Hernia and intestinal obstruction, all ages, per 100 000 (age-standardized death rate)",null,"Crude indicators of quality in acute inpatient care",null,null,null,"http://portal.euro.who.int/en/indicators/hfa-indicators/hfa_556-6470-sdr-hernia-and-intestinal-obstruction-all-ages-per-100-000/",null,null,null,15,"Hernia and intestinal obstruction, all ages, per 100 000 (age-standardized death rate)","c","Hungary HSPA (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","Eurostat (2015) Sustainable development indicators, from http://ec.europa.eu/eurostat/web/sdi/indicators ",260,"Death rate due to chronic diseases, by sex","It is defined as the standardised death rate per 100 000 persons of certain chronic diseases for persons aged under 65 years, by gender.\nThe following diseases have been considered:malignant neoplasms, diabetes mellitus, ischaemic heart diseases, cerebrovascular diseases, chronic lower respiratory diseases, and chronic liver diseases.",null,null,null,null,"Health and health inequalities",null,"http://ec.europa.eu/eurostat/cache/metadata/DE/tsdph210_esmsip.htm",null,"nA",15,null,"c","Eurostat - SDI",null,0,0,0,0,0,0,0,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",260,"Colorectal cancer mortality","Survival and mor- tality rates of colorectal cancer are based on ICD-10 codes C18-C21 (colon, rectosigmoid junction, rectum, and anus).",null,null,null,null,null,null,null,null,null,15,"Age-standardised rates per 100 000 population","c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",260,"Main causes of cancer deaths among men and women",null,null,null,null,"WHO Mortality Database",null,null,null,null,2,15,null,"c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",260,"Decrease of stroke deaths","Inclination of stroke death trend line (log values)",null,null,null,"Survey commissioned by HCP from Patient View 2015. Interviews with healthcare officials, feedback from national agencies. www.socialstyrelsen.se : Väntetider cancervård",null,null,null,null,"3.2.",15,null,"c","EHCI 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",260,"Under 75 mortality rate from respiratory disease","A measure of the likelihood of dying of respiratory disease under the age of 75, which allows for comparisons between populations with different age profiles and over time.\nDirectly standardised mortality rate from respiratory disease for people aged under 75.",null,null,null,null,null,null,null,null,"1.2.",15,null,"c","UK - NHS (2016)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",261,"Excess under 75 mortality rate in adults with serious mental illness","A measure of the extent to which adults with a serious mental illness die younger than adults in the general population.\nThe ratio (expressed as a percentage) of the observed number of deaths in adults in contact with secondary mental health services to the expected number of deaths in that population based on age and gender-specific mortality rates in the general population in England.",null,null,null,null,null,null,null,null,"1.5.i.",15,null,"c","UK - NHS (2016)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",261,"Excess under 75 mortality rate in adults with common mental illness","nA",null,null,null,null,null,null,null,null,"1.5.ii.",15,null,"c","UK - NHS (2016)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["C","WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",262,"Agestandardized mortality rates from accidental poisoning (ICD-10 codes X40–X49)",null,null,null,null,"HFA-MDB (mortality indicator database of WHO Europe)",null,null,null,null,"6.2.",15,null,"c","WHO Health 2020",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",262,"Traffic deaths","SDR/ 100 000 population",null,null,null,"WHO HfA Sept 2015",null,null,null,null,"5.7.",15,null,"c","EHCI 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",263,"Fatal Accidents at work by economic activity",null,null,"Productive or main activity: Quality of employment - Health and safety at work",null,null,null,"http://ec.europa.eu/eurostat/product?mode=view&code=hsw_n2_02",null,null,null,15,null,"c","Eurostat - Quality of Life",null,0,null,null,null,null,null,1]
["E","WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",263,"deaths from work-related accidents",null,null,"Broader determinants of health: occupational health",null,null,null,null,null,null,null,15,null,"c","Estonia HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","European Commission (2011). Commission Staff Working Document on EU indicators in the field of youth. SEC(2011) 401 final.  Retrieved from http://ec.europa.eu/youth/library/publications/indicator-dashboard_en.pdf\nEuropean Commission (2015). Youth monitor - European Commission.   Retrieved from http://ec.europa.eu/youth/dashboard/index_en.htm",264,"Suicide death rate, by age group","Deaths caused by suicide per 100 000 inhabitants aged 15-24",null,null,null,null,"Health and health inequalities",null,"http://ec.europa.eu/eurostat/cache/metadata/DE/tsdph240_esmsip.htm",null,null,15,"the crude death rate from suicide and intentional self-harm per 100 000 people, by age group and sex.","c","EU Youth Health 2015 (DG EAC)",null,0,0,0,0,0,0,0,0,0,1]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",264,"Deaths due to suicide (/100 000 pop)",null,null,null,null,null,null,null,null,null,"MH-1",15,null,"c","Belgium - Vrijens et al. (2015)",null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",265,"Drug-related deaths","Drug-related deaths per 100,000 population.","Drug-related deaths (also called for the purpose of the EMCDDA indicator ‘drug-induced deaths’ or\n‘overdoses’) are defined as deaths happening shortly after consumption of one or more illicit psychoactive\ndrugs, and directly related to this consumption.\nEMCDDA recomends that the definition is operationalised as follows:\n1) When information is extracted from General Mortality Registers, deaths are included when the\nunderlying cause of death is\n• mental and behavioural disorders due to psychoactive substance use or\n• poisoning (accidental, intentional or by undetermined intent), following the ICD-10 codes:\n-- Harmful use, dependence, and other mental and behavioural disorders due to: opioids (F11),\ncannabinoids (F12), cocaine (F14), other stimulants (F15), hallucinogens (F16), multiple drug use\n(F19).\n-- Accidental (X41, X42), intentional (X61, X62), or poisoning by undetermined intent (Y11, Y12)\nby: opium (T40.0), heroin (T40.1), other opioids (T40.2), methadone (T40.3), other synthetic\nnarcotics (T40.4), cocaine (T40.5), other and unspecified narcotics (T40.6), cannabis (T40.7),\nlysergide (T40.8), other and unspecified psychodysleptics (T40.9), psychostimulants (T43.6);\nPoisoning by unspecified drugs (X44, X64, Y14), if in combination with T codes T40.0-9 and\nT43.6.\nThis is called “selection B” of the EMCDDA standard definitions.\n2) 2When the information is extracted from Special Registries (usually based on medico-legal files) cases are\nincluded when the death is due to poisoning by accident, suicide, homicide, or undetermined intent by a\nset of illegal drugs of abuse. This is called “selection D” of the EMCDDA standard definitions.\n3) The few EU countries that cannot apply exactly the above standard procedure (“Selection B” or\n“Selection D”), they provide the data extracted either from their GMR or SR with ad-hoc procedures\n(“ad-hoc national definitions”) that are the closest approximations of selections B and D.\nEMCDDA presents national data (Table 2) with what is considered the best estimation in each country.\nIn most cases it is one of the standard definitions (either Selection B or Selection D). See remarks for more\ninformation.","Important group of premature and preventable deaths.","Absolute numbers","EMCDDA","sex, age, ","http://www.emcdda.europa.eu/data/stats2015","http://www.emcdda.europa.eu/data/stats2015","http://ec.europa.eu/health/indicators/docs/echi_14.pdf",14,15,"Drug-related deaths per 100,000 inhabitants by sex, age-group (<25y)","c","ECHI",null,1]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",265,"Alcohol-related deaths","Mortality caused by alcohol consumption. Number of premature deaths that may be attributed to alcohol\nconsumption in the population (Alcohol Atributable Deaths (AAD)) out of the total number of deaths*100)","The methodology described below is based on the methodology applied in the European ODHIN project,\nthough the selection of ICD codes is divergent; this is based on the deaths codes used by WHO for the\nGlobal Burden of Disease study (for reasons of comparability with other international data on alcohol\nattributable mortality).\nAlcohol Attributable Deaths (AAD) are defined as:\nAAD = AAF*D\nAADs = Sum AAD (all causes)\nwhere D is the number of deaths due to a specific cause or group of causes affected by the risk factor with\nrelative risk, in this case alcohol consumption. The AAF by age groups and gender has to be multiplied by\nthe total number of deaths per cause.\nAlcohol-attributable fractions (AAFs) are generally defined as the proportion of a disease in a population that\nwill disappear if alcohol is removed. AAFs are calculated by using the Alcohol-Attributable Fraction formula:\nAAF = [Σk\ni =1 Pi(RRi – 1)] / [Σ k\ni =0 Pi(RRi – 1) + 1]\nwhere i is the category of alcohol usage (i = 1-3) or no alcohol (i=0), RRi is the relative risk at exposure level\ni, compared with no alcohol consumption, Pi is the prevalence of the ith category of alcohol consumption,\nand k is the highest drinking category.\nRelative Risks of drinking exposure levels are available from several studies and will be used from selected\nsources (see references 1-3), and the overview of RRs to be used for the calculation of this indicator in annex 1.\nThe drinking categories required for the calculation of this indicator are: category i=1: females=(0.25-19.99\ng/day); males=(0.25- 39.99 g/day); category i=2: females=(20-39.99 g/day); males (40-59.99 g/day); category\ni=3: females=(40+ g/day); males=(60+ g/day).\nThere are diseases wholly attributable to alcohol (group 1 for which AAF=1), meaning that they would\nnot exist without it. Furthermore, alcohol is a contributory cause in a fair number of diseases partially\nattributable to alcohol (group 2) and unintentional and intentional injuries (group 3). The total number\nof Alcohol-attributable deaths is equal to AAD(group1)+ AAD(group2)+AAD(group3). See annex 2 for an\noverview of ICD codes to be used in the calculation of this indicator.",null,null,"Eurostat (EHIS) or national HIS for data on alcohol use; Eurostat for mortality data","sex, 8 age groups","nA","nA","nA",16,15,"Death rates from combined, selected causes of death which are related to alcohol use in people, per 100,000 by age-group (aged 15+, 15-44, 45-64, 65+), by sex","c","ECHI",null,1]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",266,"Excess mortality by extreme temperatures (formerly 'by heat waves')","To be developed: Daily number of observed deaths and death rates (all cause) in a region during a heat wave or a period of extreme winter cold in relation to the expected number of deaths and death rate for the same calendar day.","to be developed","Extreme temperatures can induce excess mortality in the population. Excess mortality affects vulnerable\ngroups, particularly those who are old or ill. Important indicator in the frame of health effects of climate\nchange. In some countries winter excess mortality is a problem and in others excess mortality by heat waves. Therefore both excess mortality by heat waves and winter excess mortality are included.",null,"n.a.","nA","nA","nA","nA",17,15,"To be developed: Daily number of observed deaths and death rates (all cause) in a region during a heat wave or a period of extreme winter cold in relation to the expected number of deaths and death rate for the same calendar day.","s","ECHI",1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",267,"Incidence of sexually transmitted infections and blood-borne viruses (syphillis, HIV, Hep B, Hep C, chlamydia, gonococcal infection)","The number of new cases of syphilis, HIV, hepatitis B, hepatitis C, chlamydia and gonococcal infections.",null,null,null,null,null,null,null,null,null,16,null,"c","AIHW. (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",267,"Incidence rate of Hepatitis B per 100,000 population","Incidence of HIV-infected and in a given calendar year, per 100,000 population","The rates are calculated as the number of newly diagnosed cases per 100,000 population, based on the number of cases reported by national surveillance systems to the joint WHO-Euro/ECDC database for surveillance in The European Surveillance System (TESS). A case of HIV infection is defined following the European HIV surveillance case definitions’",null,null,null,null,null,null,null,31,16,null,"c","Malta - Grech et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",267,"Number of cases of congenital syphilis",null,null,"Quality, safety and outcomes of health care services",null,null,null,null,null,null,null,16,"nA","c","Portugal HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",268,"TB incidence and multi-drug resistant case notification rates","‘Number of newly diagnosed tuberculosis cases, all forms (ICD-9:010-018; ICD-10: A15-A19) during the given calendar year. The definition has been modified in June 2001 version of Health for All Database. Now, relapses are included in the incidence figures (before relapses were excluded)’.\n","The incidence of a disease per year is calculated as the total number of reported new cases of the disease in a specific year divided by the population of the country in question in the same year, expressed per 100 000 population.",null,null,null,null,null,null,null,17,16,null,"c","Malta - Grech et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A, B, D, E","Consolidated",271,"Birth weight distribution by vital status, gestational age, plurality",null,null,null,null,null,null,null,null,null,null,16,"Number of births within each 500g weight interval expressed as a proportion of all live and stillbirths calculated by gestational age and vital status at birth for singletons and multiples.\nPercentage of life births with weighing less than 2500 grams per 100 live births in a given year.","s","Consolidated",5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",271,"Infant health: Low birth weight","Low birth weight is defined by the World Health\nOrganization (WHO) as the weight of an infant at birth\nof less than 2 500 grams (5.5 pounds) irrespective of\nthe gestational age of the infant. This threshold is\nbased on epidemiological observations regarding the\nincreased risk of death to the infant and serves for\ninternational comparative health statistics. The number\nof low weight births is expressed as a percentage of\ntotal live births.",null,null,null,null,null,null,null,null,8,16,"% of newborns weighing less than 2 500 g","c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",271,"Low birth weight infants",null,null,"Improving the health status of the Portuguese",null,null,null,null,null,null,null,16,null,"c","Portugal HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",272,"Self-perceived health: by sex, age and income quintile",null,null,"Health - Outcomes: Morbidity & health status",null,"http://ec.europa.eu/eurostat/product?mode=view&code=hlth_silc_10",null,null,null,null,null,16,null,"c","Eurostat - Quality of Life",null,0,null,null,null,null,null,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",272,"Perceived health status by income level",null,null,null,null,null,null,null,null,null,null,16,null,"c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",272,"Self-assessed health status","The percentage of persons 15 and over who self-assess their health as excellent or very good.",null,null,null,null,null,null,null,null,null,16,null,"c","AIHW. (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",272,"Perceived Health","This indicator measures the percentage of the population age 12 and older who report their health to be excellent, very good or good. Self-rated health is measured on a scale from excellent to poor. ","Self-rated health is measured on a scale from excellent to poor. This indicator examines the percentage of the population age 12 and older who reported their health to be excellent, very good or good. It is calculated by dividing the number of respondents age 12 and older who rated their health as excellent, very good or good by the total number of survey respondents.","Good-to-excellent self-reported health status correlates with lower risk of mortality and use of health services. This indicator looks at how many Canadians age 12 and older report their health to be excellent, very good or good.\nHigher is better. It means that a higher percentage of people reported good health.",null,"·      Canadian Community Health Survey, Statistics Canada",null,null,"http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=5112017",null,null,16,null,"c","CIHI In Depth (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",272,"Self-assessed health",null,null,"Health status (level and distribution): self-assessed health",null,null,null,null,null,null,null,16,null,"c","Estonia HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",273,"Dental health ","Individuals who stated that they consider their dental health to be fairly good or very good, 16–84 years old",null,null,null,null,null,null,null,null,4,16,"by sex, age group (16-29, 30-44, 45-64, 65-84), education","c","Sweden - Socialstyrelsen. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",275,"Long-term activity limitations","Proportion of people reporting that they have long-term restrictions in daily activities.","Proportion of people who answer “yes strongly limited” or “yes limited” to EU-SILC question: For at least the past 6 months, to what extend you have been limited because of a health problem in activities people usually do? (Answering categories; yes strongly limited, yes limited, no not limited). Numbers of people answering “yes strongly limited” or “yes limited” should be added and divided by the total number of people who were interviewed. Age-standardization: see remarks.","Widely used measure of general health, contributing to the evaluation of health problems, the burden of\ndiseases and health needs at the population level.","Percentage","Eurostat (EU-SILC)","• Calendar year\n• Country\n• Sex\n• Age group (16-64, 65+)\n• Socio-economic status (educational level. ISCED 3 aggregated groups: 0-2; 3+4; 5+6; see remarks\n","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_silc_07&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_silc_01_esms.htm","http://ec.europa.eu/health/indicators/docs/echi_35.pdf",35,16,"Proportion of people reporting that they have long- term restrictions in daily activities by sex, by age-group (15-64, 65+), by educational level (ISCED class 0-1, 2, 3-4, 5-6)","c","ECHI",null,1]
["A","ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",275,"Population with health-related restrictions","Proportion of people reporting to have long-term restrictions in daily- activities",null,"Active and healthy ageing",null,null,null,null,null,null,"nA",16,"Proportion of people reporting to have long-term restrictions in daily- activities","c","ESIF for Health 2015",null,0,null,null,1]
["A","Consolidated",277,"Self-reported general musculoskeletal pain",null,null,null,null,null,null,null,null,null,null,16,"To be developed: Prevalence of general musculoskeletal pain, measured by means of health interview survey using representative population sample.","s","Consolidated",2,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A, D","Consolidated",278,"Self-reported chronic morbidity",null,null,null,null,null,null,null,null,null,null,16,"Disaggregated by sex, by age-group (15-64, 64+) and by educational level (ISCED class 0-1, 2, 3-4, 5-6). \nProportion of people reporting that they have any long-standing chronic illness or long-standing health problem.","s","Consolidated",2,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",279,"Well-being: Multiple chronic conditions",null,null,null,null,null,null,null,null,null,"nA",16,null,"c","IOM 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A, B, C, D, E","Consolidated",280,"Standardised incidence rates of cancer (breast, colorectal, prostate, lung, cervical)",null,null,null,null,null,null,null,null,null,null,16,"Total population, disaggregated by sex, age group (0-64, 65+) and SES. \nTotal cancer incidence and incidence of the most important cancers, per 100,000 population, in a given year’.","s","Consolidated",7,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,3,1,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0]
["C","World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",280,"Cervix uteri Cancer incidence",null,null,null,null,null,null,null,null,null,29,16,"per 100 000","c","WHO Core Health 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",280,"Incidence rate of lung cancer per 10 000 inhabitants. Age-standardised. By sex, education. ",null,null,null,null,null,null,null,null,null,6,16,null,"c","Sweden - Socialstyrelsen. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",281,"Prevalence of Diabetes",null,null,null,null,"·      Canadian Community Health Survey, Statistics Canada",null,null,null,null,null,16,null,"c","CIHI In Depth (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A, E","Consolidated",282,"Incidence rate of Diabetes",null,null,null,null,null,null,null,null,null,null,16,"Percentage of persons with diabetes diagnosed in the past 12 months.","s","Consolidated",2,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0]
["A, D, E","Consolidated",283,"Attack rate of acute myocardial infarction (AMI) (non-fatal and fatal) and coronary death",null,null,null,null,null,null,null,null,null,null,16,"Disaggregated by sex and by age-group (35-74, 35-64).\nAttack rate of acute myocardial infarction (non-fatal and fatal) and coronary death per 100,000 population.","s","Consolidated",4,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0]
["A","Consolidated",284,"Attack rate of stroke (non-fatal and fatal)",null,null,null,null,null,null,null,null,null,null,16,"Disaggregated by sex and by age-group (35-84, 35-64). \nAttack rate of stroke (non-fatal and fatal) per 100,000 population.","s","Consolidated",1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",285,"Blood pressure","Proportion of persons reporting diagnosed high blood pressure (hypertension) in the last 12 months",null,"Preventive health determinants",null,null,null,null,null,null,"nA",16,null,"c","ESIF for Health 2015",null,0,null,null,1]
["C","World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",285,"Estimated age-standardized prevalence of raised blood pressure (systolic blood pressure ≥ 140 or diastolic blood pressure ≥ 90)",null,null,null,null,null,null,null,null,null,41,16,null,"c","WHO Core Health 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",286,"Asthma, register-based prevalence","Number of individuals that have ever been diagnosed with asthma and that have been affected by this condition during the past 12 months. Expressed per 100,000 and as percentage of total population.","National best estimate of number of individuals that have ever been diagnosed with asthma and that have\nbeen affected by this condition during the past 12 months (ICD-10 codes J45, J46). Age standardization\nshould be done for men and women separately, according to the direct method, using the 1976 WHO\nEuropean population as standard population (this is the method applied for the Eurostat diagnosis-specific\nmorbidity statistics; see references (document principles and guidelines in CIRCA)).","Asthma is a significant public health problem and a high-burden disease for which prevention is partly\npossible and treatment can be quite effective.",null,"n.a., Eurostat (morbidity strand) or national data","• Country.\n• Calendar year.\n• Sex.\n• Age group:\n- for age standardization data must be collected by 5 year age groups (see calculation)\n- for data presentations it is required to present the following age groups; 0-14, 15+\n• Socio-economic status (see data availability).\n• Region (according to ISARE recommendations; see data availability)","nA","nA","nA","26 (B)",16,"Number of individuals per sex and by age-group (0-14, 15+), per 100,000/% of population, that have ever been diagnosed with asthma and that have been affected by this condition during the past 12 months.","c","ECHI",null,1]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",287,"COPD, register-based prevalence rate","Number of individuals that have ever been diagnosed with chronic obstructive pulmonary disease and that\nhave been affected by this condition during the past 12 months. Expressed per 100,000 and as percentage of\ntotal population.","National best estimate of number of individuals that have ever been diagnosed with chronic lower respiratory\ndiseases other than asthma, including COPD, and that have been affected by this condition during the past\n12 months (ICD-10 codes J40-J44; includes chronic bronchitis, emphysema and other chronic obstructive\npulmonary disease (COPD)). Age standardization should be done for men and women separately, according\nto the direct method, using the 1976 WHO European population as standard population (this is the method\napplied for the Eurostat diagnosis-specific morbidity statistics; see references (document principles and\nguidelines in CIRCA)).","COPD is a high-burden disease causing disability and impairing quality of life, as well as generating high\ncosts. COPD is among the leading causes of chronic morbidity and mortality in the EU. Prevention is partly\npossible and treatment can be quite effective. Smoking is the major risk factor for COPD.",null,"n.a., Eurostat (morbidity strand) or national data","• Country.\n• Calendar year.\n• Sex.\n• Age group:\n- for age standardization data must be collected by 5 year age groups (see calculation)\n- for data presentations it is required to present the following age groups; 15-64, 65+\n• Socio-economic status (see data availability).\n• Region (according to ISARE recommendations; see data availability)","nA","nA","nA","27 (B)",16,"Disaggregated by sex and age-group (15+, 15-64). \nNumber of individuals that have ever been diagnosed with chronic obstructive pulmonary disease (COPD) and that have been affected by this condition during the past 12 months, per 100,000 / % of population.","c","ECHI",null,1]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",289,"Injuries: home/leisure, self-reported incidence rate","1) Proportion of individuals reporting to have had an accident at home, during leisure activities, and/or at\nschool during the past 12 months, which resulted in injury.\n2) Proportion of individuals reporting to have had an accident at home, during leisure activities, and/or at\nschool during the past 12 months, which resulted in injury for which medical treatment was sought.","1) Proportion of individuals reporting to have had a home and leisure accident during the past 12 months, derived from EHIS question HS.7: In the past 12 months, have you had any of the following type\nof accidents resulting in injury (external or internal)? 3. Accident at school, and 4. Home and leisure accident (yes / no). Respondents answering yes to either or both of the above mentioned HS7 answering categories should be added.\n2) Proportion of individuals reporting to have had a home and leisure accident during the past 12 months, derived from EHIS: question HS.7 and HS.8: HS.7 In the past 12 months, have you had any of the following type of accidents resulting in injury (external or internal)? 3. Accident at school, and 4. Home and leisure accident (yes / no). Respondents answering yes to either or both of the above mentioned HS7 answering categories should be added, and from these respondents the ones answering positively to HS.8 should be extracted; HS.8: Did you visit a doctor, a nurse or an emergency department of a hospital as\na result of this accident? (Yes, I visited a doctor or nurse / Yes, I went to an emergency department / No consultation or intervention was necessary).\nEHIS data will not be age standardized.","Annually, in the EU more than 60 million people receive medical treatment for an injury, from which\nan estimated 7 million are admitted to hospital. Two-thirds of all injuries occur in home and leisure\nenvironments - a trend that is on the increase across Europe. Detailed injury data (in particular on external\ncircumstances as activities, settings, products involved) makes it possible to develop prevention measures,\nmonitor injury trends, prioritise issues, guide policies and evaluate the success of interventions designed to\nreduce injuries.",null,"Eurostat (EHIS) or national HIS","• Country\n• Calendar year\n• Sex\n• Age group (15-24; 25-64; 65+)\n• Socio-economic status (educational level. ISCED 3 aggregated groups: 0-2; 3+4; 5+6)\n• Region (according to ISARE recommendations; see data availability)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_st2&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_det_esms.htm","http://ec.europa.eu/health/indicators/docs/echi_29a.pdf","29 (A)",16,"Disaggregated by sex, age-group (15+, 15-24, 25-64, 65+), by educational level (ISCED class 0-2, 3-4, 5-6). \nProportion of individuals reporting to have had an accident at home, during leisure activities, and/ or at school during the past 12 months, which a) resulted in injury; b) resulted in injury for which medical treatment was sought ","c","ECHI",null,1]
["A","EuroSafe. (2016). European Association for Injury Prevention and Safety Promotion (EuroSafe).   Retrieved from http://www.eurosafe.eu.com/",289,"Injuries: home/leisure, register-based incidence",null,"The ECHI indicator 29b (home, leisure and school injuries) is based on the calculated ED-based injury incidence rate. The calculation of the valid national incidence rate is the responsibility of each MS. However, comparability requires a standardized methodology. In most MSs injury relevant ED contacts are only registered in a sample of hospitals in a systematic and harmonised manner. Therefore the incidence rate calculation must be based on extrapolation from the sample to the national level and the uncertainty of the national estimate should be described by a confidence interval around the estimate. In some MSs within-hospital case sampling is performed which shall be a random sampling.",null,null,null,null,null,null,null,null,16,"Number of accidents at home and/or during leisure activities during the past 12 months, resulting in an injury that required treatment in a hospital, expressed per 100,000 by sex and age-group (0-14, 15-24, 25-64, 65+).","c","EuroSafe",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",290,"Injuries: road traffic, self-reported incidence","1) Proportion of individuals reporting to have had a road traffic accident, which resulted in injury during\nthe past 12 months.\n2) Proportion of individuals reporting to have had a road traffic accident, which resulted in injury for\nwhich medical treatment was sought during the past 12 months.","1) Proportion of individuals reporting to have had a road traffic accident during the past 12 months, derived from EHIS question HS.7: In the past 12 months, have you had any of the following type of accidents resulting in injury (external or internal)? 1. Road traffic accident (yes / no).\n2) Proportion of individuals reporting to have had a road traffic accident during the past 12 months, derived from EHIS: question HS.7 and HS.8: HS.7 In the past 12 months, have you had any of the following type of accidents resulting in injury (external or internal)? 1. Road traffic accident (yes / no). If yes, select respondents who answered positively to HS.8; HS.8: Did you visit a doctor, a nurse or an emergency department of a hospital as a result of this accident? (Yes, I visited a doctor or nurse / Yes, I went to an emergency department / No consultation or intervention was necessary).\nEHIS data will not be age standardized.","The EU IDB estimates that road injuries account for 10% of all hospital treated injuries or a total of\n4.3 million victims annually. Though preventive measures have been proven effective, resulting in declining\nincidence rates, large health gains can still be achieved and inequalities between Member States can still be\ndiminished.",null,"Eurostat (EHIS) or national HIS","• Country\n• Calendar year\n• Sex\n• Age group (15-24; 25-64; 65+)\n• Socio-economic status (educational level. ISCED 3 aggregated groups: 0-2; 3+4; 5+6)\n• Region (according to ISARE recommendations; see data availability)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_st2&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_det_esms.htm","http://ec.europa.eu/health/indicators/docs/echi_30a.pdf","30 (A)",16,"a) Proportion of individuals by sex, age-group (15+, 15-24, 25-64, 65+) and educational level (ISCED class 0-2, 3-4, 5-6) reporting to have had a road traffic accident during the past 12 months, which resulted in injury; b) for which medical treatment was sought.","c","ECHI",null,1]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",291,"Injuries: workplace","Standardised incidence rate of serious accidents at work.","The standardised incidence rate of serious accidents at work is the number of persons involved in accidents at work resulting in more than 3 days’ absence per 100,000 persons in employment. An accident at work is a discrete occurrence in the course of work which leads to physical or mental harm. This includes accidents in the course of work outside the premises of one’s business, even if caused by a third party (on clients’ premises, on another company’s premises, in a public place or during transport, including road traffic accidents) and cases of acute poisoning. Occurrences having only a medical origin, occupational diseases and accidents on the way to work are excluded. A serious accident is one that causes more than three days absence from work excluding the day of the accident. The incident rates are standardised by economic activity to eliminate differences due to different distributions of the national workforce across the high-risk\nand low-risk industries. This is achieved by giving each aggregated NACE branch the same weight at national level as in the European Union total (see remarks and references for more information on NACE and the standardisation procedure).\n","This indicator provides information about the risk of the occurrence of a serious accident at work. This is\nregarded as an indication/determinant of the (occupational) health and an indication of safety regulations in\na country.","Rate","Eurostat (ESAW)","• Calendar year\n• Country\n• Region (according to ISARE recommendations; see data availability)\n• Sex\n• Age group (18-24, 25-64 and 65+)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hsw_mi01&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hsw_acc_work_esms.htm","http://www.healthindicators.eu/healthindicators/object_binary/o3009_31.-Injuries-workplace.pdf",31,16,"Standardises incidence rate of accidents at work per 100,000 workers by sex and age-group (18-24, 25-64, 65+)","c","ECHI",null,1]
["A","Eurostat (2015) Sustainable development indicators, from http://ec.europa.eu/eurostat/web/sdi/indicators ",291,"Accidents at work by sex and age",null,null,null,null,null,null,null,null,null,"nA",16,"nA","c","Eurostat - SDI",null,0,0,0,0,0,0,0,1]
["E","Consolidated",292,"Incidence rate of occupational diseases",null,null,null,null,null,null,null,null,null,null,16,"Incidence rates (new cases) of work-related/occupational diseases. \nWHO definition: An “occupational disease” is any disease contracted primarily as a result of an exposure to risk factors arising from work activity. “Work-related diseases” have multiple causes, where factors in the work environment may play a role, together with other risk factors, in the development of such diseases. (http://www.who.int/occupational_health/activities/occupational_work_diseases/en/)","s","Consolidated",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",293,"Psychological distress","To be developed, e.g. occurrence and extent of psychological distress during past month.","Topic needs further development:\n• In the European Health Interview Survey (EHIS) wave I, variables for computing psychological distress were gathered by means of the Mental Health Index (MHI-5) scale of the RAND Short Form 36. Though this is a well-validated instrument in Western countries, problems were encountered with its application in Eastern European countries. Based on these experiences, the plan for EHIS wave II is to drop the MHI-5 scale from the questionnaire and to not replace it with an alternative for measuring generic mental health.\n• What instrument should we use for gathering data on psychological distress in Europe, now that the MHI-5 has proven inadequate in practice?\n• What data source to use now that EHIS will no longer provide data?","Psychological distress is associated with high use of health services and decreased level of functioning. It\nis also predictor of mortality. Promotion and prevention activities may decrease the level of psychological\ndistress.",null,"n.a.","nA","nA","nA","nA",38,16,"To be developed, e.g. occurrence and extent of psychological distress during past month.","c","ECHI",null,1]
["A","EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",293,"Psychological well-being",999,null,null,null,"Eurostat (EHIS)",null,null,null,null,"nA",16,null,"c","EXPH 2014",null,0,0,0,0,0,0,0,0,0,0,1]
["D","AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",293,"Psychological distress","The proportion of adults with very high levels of psychological distress as measured using the Kessler Psychological Distress Scale—10 items (K10). (The K10 is a scale of non-specific psychological distress based on 10 questions about negative emotional states in the 4 weeks before being interviewed.)",null,null,null,null,null,null,null,null,null,16,null,"c","AIHW. (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",293,"Impaired mental well-being by sex, age group, education","Individuals who estimated to have a weakened general mental health based on the General Health Questionnaire GHQ12, 16–84 years old.",null,null,null,null,null,null,null,null,9,16,"Individuals who estimated to have a weakened general mental health based on the General Health Questionnaire GHQ12, 16–84 years old.","c","Sweden - Socialstyrelsen. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",294,"Well-being: Depression",null,null,null,null,null,null,null,null,null,"nA",16,null,"c","IOM 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",295,"Depression","Average score on 5 mental health questions",null,null,null,"Special Eurobarometer 345, October 2011; www.fhi.no \"Psykisk helse i Norge 2011:2\", http://worlddatabaseofhappiness.eur.nl/hap_nat/nat_fp.php?mode=8",null,null,null,null,"3.8.",16,null,"c","EHCI 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",297,"Dementia/Alzheimer","Number of individuals aged 65+ that have been diagnosed with dementia. Expressed per 100,000 and as\npercentage of total population.","National best estimate of number of individuals aged 65+ that have ever been diagnosed with dementia\n(ICD-10 codes F00-F03, G30; including Alzheimer). Age standardization should be done for men and\nwomen separately, according to the direct method, using the 1976 WHO European population as standard\npopulation (this is the method applied for the Eurostat diagnosis-specific morbidity statistics; see references\n(document principles and guidelines in CIRCA)).","An increasingly important public health issue as the European populations are aging rapidly.\nDementia in older people is one of the most concerning issue worldwide and particularly in Europe.","Values","Alzheimer-Europe: EURODEM, EuroCoDe","• Country.\n• Calendar year.\n• Sex.\n• Age group:\n- for age standardization data must be collected by 5 year age groups (see calculation)\n- for data presentations it is required to present the following age groups; 65-84, 85+\n• Socio-economic status (see data availability).\n• Region (according to ISARE recommendations; see data availability)\n","http://www.alzheimer-europe.org/","http://www.alzheimer-europe.org/","nA",22,16,"Number of individuals by sex aged 65+ that have been diagnosed with dementia, per 100,000","c","ECHI",null,1]
["A","ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",297,"Limitations in personal care","Proportion of people aged 65+ reporting to have long-term restrictions in daily activities",null,"Active and healthy ageing",null,null,null,null,null,null,"nA",16,null,"c","ESIF for Health 2015",null,0,null,null,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",297,"Estimated number of people with dementia",null,null,null,null,null,null,null,null,null,null,16,"Million population","c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",298,"Individual engagement: Health literacy rate",null,null,null,null,null,null,null,null,null,"nA",17,null,"c","IOM 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",299,"Daily smokers of cigarettes by sex, age and educational level",null,null,"Health - Determinants: healthy and unhealthy behaviours",null,"http://ec.europa.eu/eurostat/product?mode=view&code=hlth_ehis_de3",null,null,null,null,null,17,null,"c","Eurostat - Quality of Life",null,0,null,null,null,null,null,1]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",299,"Daily smokers of cigarettes by sex, age and income quintile",null,null,"Health - Determinants: healthy and unhealthy behaviours",null,"http://ec.europa.eu/eurostat/product?mode=view&code=hlth_ehis_de4",null,null,null,null,null,17,null,"c","Eurostat - Quality of Life",null,0,null,null,null,null,null,1]
["A","European Commission (2014). Comparative efficiency of health systems, corrected for selected lifestyle factors. Retrieved from http://ec.europa.eu/health/systems_performance_assessment/docs/2015_maceli_report_en.pdf",299,"Never smoked",null,null,null,null,"Eurobarometer data",null,null,null,null,null,17,null,"nr","EC-MACELI 2014",null,0,0,0,0,0,0,0,0,0,0,0,0,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",299,"Change in daily smoking in adults",null,null,null,null,null,null,null,null,null,null,17,"% of population aged 15 years and over","c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["C","WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",299,"Prevalence of weekly tobacco use among adolescents","Current prevalence estimates for use of any tobacco product are derived from the results of the latest adolescent tobacco-use survey (or a survey that asks tobacco-use questions), adjusted using the WHO regression method for standardization described in the section on method of estimation below.\n“Tobacco use” includes cigarettes, cigars, pipes or any other oral tobacco and snuff products.\n“Current use” includes both daily and non-daily or occasional smoking.\nThis indicator is measured using the standard questionnaire during a health interview of a representative sample of the population aged 15 years and over. Many countries carry out such health interview surveys on a more or less regular basis, but most of the data are collected from multiple sources by the tobacco or health units at the WHO Regional Office for Europe. When data on male and female use are available, the total is calculated as the average of the male and female value.",null,"The prevalence of current tobacco use among adolescents is an important measure of the health and economic burden of tobacco, and provides a baseline for evaluating the effectiveness of tobacco control programmes over time.\nThe risk of chronic diseases starts early in childhood and such behaviour continues into adulthood. Tobacco is an addictive substance and use often starts in adolescence, before the development of risk perception. By the time the risk to health is recognized, addicted individuals find it difficult to stop tobacco use.\nAdjusted and age-standardized prevalence rates are constructed solely for the purpose of comparing tobacco-use prevalence estimates across multiple countries or across multiple time periods for the same country. These rates should not be used to estimate the number of smokers in the population.",null,"HBSC study (38)","Sex",null,null,null,"2.1.",17,null,"c","WHO Health 2020",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",299,"Percent of adults who smoke","Percent of adults age 18 and older who ever smoked 100+ cigarettes (five packs) and currently smoke every day or some days.",null,null,null,"2013 and 2014 Behavioral Risk Factor Surveillance System (NCCDPHP, BRFSS 2013, 2014).",null,null,null,null,39,17,"Percent of adults age 18 and older who ever smoked 100+ cigarettes (five packs) and currently smoke every day or some days.","c","CWF State Scorecard",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",299,"Proportion of daily smokers aged 15+ years",null,null,"Health behaviour and health promotion",null,null,null,null,null,null,null,17,null,"c","Estonia HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A, D, E","Consolidated",300,"Prevalence of smoking among pregnant women",null,null,null,null,null,null,null,null,null,null,17,"The number of women who smoke during the third trimester of pregnancy expressed as a proportion of all women delivering live or stillborn babies.\nWhen data are not available for the third trimester of pregnancy, data are requested for another time point during pregnancy.","s","Consolidated",6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,1,1,0,0,0,0,1,0,0]
["E","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",300,"Percentage of women that smokes during pregnancy",null,null,"Antenatal, perinatal and postpartum care - Quality: preventive care",null,null,null,null,null,null,5,17,null,"c","Netherlands - van den Berg et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A, B, C, D, E","Consolidated",301,"Total alcohol consumption",null,null,null,null,null,null,null,null,null,null,17,"Disaggregated by sex and age. \nTotal alcohol consumption is defined as the total (recorded + unrecorded) amount of alcohol consumed per adult (15+ years) over a calendar year, in litres of pure alcohol or total Adult Per Capita (Total APC). Recorded alcohol consumption refers to official statistics (production, import, export, and sales or taxation data), while the unrecorded alcohol consumption refers to alcohol which is not taxed and is outside the usual system of governmental control. In circumstances in which the number of tourists per year is at least the number of inhabitants, the tourist consumption is also taken into account and is deducted from the country s recorded APC.","s","Consolidated",10,2,0,0,1,0,0,0,0,0,1,1,0,1,1,0,0,1,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",301,"Total (recorded) alcohol consumption","Total (recorded + unrecorded) adult (15+ years) per capita consumption.",null,"Harmful use of alcohol is related to many diseases and health conditions, including chronic diseases such as alcohol dependence, cancer and liver cirrhosis, and acute health problems such as injuries. The level of per\ncapita consumption of alcohol across the population aged 15 years and older is one of the key indicators for\nmonitoring the magnitude of alcohol consumption in the population and likely trends in alcohol-related problems. Reducing alcohol related harm is one of the major policy goals of the European Commission.","Values","WHO (Global Information System\non Alcohol and Health (GISAH))",null,"http://apps.who.int/gho/data/node.main.A1022?lang=en?showonly=GISAH","http://apps.who.int/gho/indicatorregistry/App_Main/view_indicator.aspx?iid=462",null,"46(B)",17,"Litres of pure alcohol consumed per person aged 15+ per year by sex","c","ECHI",null,1]
["A","Medeiros J & Schwierz C (2015) Efficiency estimates of health care systems - European Commission Economic Papers (Vol. 549). Brussels: European Economy.",301,"Alcohol consumption","Alcohol consumption in litres per capita",null,null,null,null,null,null,null,null,"nA",17,null,"c","Medeiros & Schwierz 2015 (DG-ECFIN)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",301,"Alcohol consumption habits among adolescents",null,null,"Addressing main risk factors and promoting healthier lifestyles",null,null,null,null,null,null,null,17,null,"c","Portugal HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A, B, C, D, E","Consolidated",302,"Hazardous alcohol consumption, self-reported",null,null,null,null,null,null,null,null,null,null,17,"Disaggregated by sex, age and educational level. \nProportion of individuals reporting to have had an average rate of consumption of more than 20 grams pure alcohol daily for women and more than 40 grams daily for men.","s","Consolidated",12,1,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1,0,0,1,0,1,1,0,1,0,0,2,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",302,"Share of total alcohol consumed by the 20% of the population who drink the most",null,null,null,null,null,null,null,null,null,null,17,null,"c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",302,"Hazardous alcohol drinking (% pop aged 15+)","Hazardous drinking: proportion of the population aged 15 years and over with an average weekly alcohol consumption exceeding a threshold considered as harmful.","Percentage of 1) men and 2) women aged 15 years and over and participating in the HIS, who reports consuming more than 1) 28 and 2) 14 drinks (standard drink equivalent to 10 g of pure alcohol) per week (respectively more than 280 g and 140 g per week). Results are weighted to account for the survey design.","A substantial part of health, social and economic burden is caused by problems attributable to hazardous alcohol consumption. Reducing this burden is a priority area for public health, which can be reached through the implementation of proven alcohol reduction strategies. Therefore, excessive alcohol consumption is considered an important indicator to monitor.",null,null,null,null,null,null,"HP-5",17,null,"c","Belgium - Vrijens et al. (2015)",null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
["E","Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",302,"Frequency of population having 6 or more units of alcohol on one occasion","Proportion of individuals reporting to have had an average rate of consumption of more than 20 grams pure alcohol daily for women and more than 40 grams daily for men","Percentage of men/women having over the week on average ≥2 drinks/day (women) or ≥3 drinks/day (men), derived from EHIS question AL.2: How many drinks containing alcohol do you have each day in a typical week when you are drinking? Start with Monday and take one day at a time. Number of drinks of: Beer, Wine, Liqueur, Spirits, Other local alcoholic beverage",null,null,null,null,null,null,null,51,17,null,"c","Malta - Grech et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A, D","Consolidated",303,"Use of illicit drugs, self-reported",null,null,null,null,null,null,null,null,null,null,17,"Disaggregated by by age group (15-34, 15-64). \na) Percentage of people reporting to have ever used [drug category].\nb) Percentage of people reporting to have used [drug category] in the last year.","s","Consolidated",3,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",304,"Consumption of fruit","Proportion of people reporting to eat fruits (excluding juice) at least once a day.","Percentage of people reporting to eat fruits (excluding juice) at least once a day, derived from EHIS question FV.1. How often do you eat fruits (excluding juice)? 1. Twice or more a day / 2. Once a day / 3. Less than once a day but at least 4 times a week / 4. Less than 4 times a week, but at least once a week / 5. Less than once a week / 6. Never (answering categories 1 and 2 should be added for the calculation of this indicator). EHIS data will not be age standardized.","Important health promoting food item. The consumption of fruits and vegetables is a good proxy for a healthy diet. Fruits and vegetables are a dietary protective factor for tobacco related and several other cancers\nas well as for cardiovascular disease. Use declining in many countries. Amenable to interventions","Percentage","Eurostat (EHIS) or national HIS","• Calendar year\n• Country\n• Sex\n• Age group (15-24; 25-64; 65+)\n• Socio-economic status (educational level. ISCED 3 aggregated groups: 0-2; 3+4; 5+6)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_de7&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_det_esms.htm","http://ec.europa.eu/health/indicators/docs/echi_49.pdf",49,17,"Proportion of people by sex, by age group (15+, 15-24, 25-64, 65+) and by educational level (ISCED class 0-2, 3-4, 5-6) reporting to eat fruits (excluding juice) at least once a day.","c","ECHI",null,1]
["A","EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",304,"Fruit and vegetable consumption",null,null,null,null,"Eurostat",null,null,null,null,"nA",17,null,"c","EXPH 2014",null,0,0,0,0,0,0,0,0,0,0,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",304,"Daily vegetable eating among adults",null,null,null,null,null,null,null,null,null,null,17,"% of population aged 15 years and over","c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",304,"Fruit and vegetable intake","The percentage of people aged 12 and over eating sufficient serves of fruit and vegetables each day to obtain a health benefit.",null,null,null,null,null,null,null,null,null,17,null,"c","AIHW. (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",304,"Consumption of fruit and vegetables","Individuals who states that they eat fruit and/or vegetables more than 3 times per day, 16–84 years old.",null,"Lifestyle and living habits:  eating habits",null,null,null,null,null,null,34,17,null,"c","Sweden - Socialstyrelsen. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",305,"Body Mass Index: by sex, age and income quintile",null,null,"Health - Determinants: healthy and unhealthy behaviours",null,"http://ec.europa.eu/eurostat/product?mode=view&code=hlth_ehis_de2",null,null,null,null,null,17,null,"c","Eurostat - Quality of Life",null,0,null,null,null,null,null,1]
["A","EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",305,"Obesity","Proportion of people who are obese, i.e. whose body mass index (BMI) is >= 30kg/m2.",null,null,null,"Eurostat (EHIS)","(total population 15+, 15- 24, men, women, income quintile gap q1/q5)",null,null,null,"L-2",17,"Proportion of persons who are obese, i.e. whose body mass index (BMI) is ≥ 30 kg/m² by age-group (15+, 15-24, 18+, 18-64, 65+), by sex and by educational level (ISCED class 0-2, 3-4, 5-6), by income quintile gap q1/q5","c","JAF Health (DG EMPL)",null,0,0,0,0,0,0,0,0,0,0,0,1]
["A","European Commission (2014). Comparative efficiency of health systems, corrected for selected lifestyle factors. Retrieved from http://ec.europa.eu/health/systems_performance_assessment/docs/2015_maceli_report_en.pdf",305,"Overweight (BMI=>25 & BMI<=30)",null,null,null,null,"Eurobarometer data",null,null,null,null,null,17,null,"c","EC-MACELI 2014",null,0,0,0,0,0,0,0,0,0,0,0,0,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",305,"Measured overweight (including obesity) among children","Data on overweight or obesity in children are all based on measured data, but refer to different age groups across countries.\nEstimates of overweight and obesity are based on body mass index (BMI) calculations using either measured or self-reported height and weight, the latter possibly under-estimating obesity and overweight. Overweight and obese children are those whose BMI is above a set of age- and sex-specific cut-off points (Cole et al., 2000).",null,null,null,null,null,null,null,null,null,17,"% of children at various ages","c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",305,"Proportion of persons obese and overweight","Proportion of people who are overweight or obese. Body mass index (BMI) is a measure that classifies a person as overweight, obese, normal weight or underweight, based on their weight and height. Overweight is defined as a BMI of 25 or over but less than 30, and obesity is defined as a BMI of 30 or more.",null,null,null,null,null,null,null,null,null,17,null,"c","AIHW. (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",305,"Obesity in adults (BMI ≥ 30) (% pop aged 18+) (by education levels)",null,null,null,null,null,null,null,null,null,"HP-1",17,null,"c","Belgium - Vrijens et al. (2015)",null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",305,"Overweight in adolescents (BMI exceeding normal weight limits (% pop aged 11, 13, 15)","As defined by the standard definition for child overweight",null,null,null,null,null,null,null,null,"HP-2",17,null,"c","Belgium - Vrijens et al. (2015)",null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
["E","Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",305,"Obesity by sex, age group, education","Individuals estimated to have a BMI (Body Mass Index) of 30 or higher based on self-reported data, 16–84 years old.",null,null,null,null,null,null,null,null,3,17,null,"c","Sweden - Socialstyrelsen. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",306,"Regular practice of physical activity",null,null,"Health - Determinants: healthy and unhealthy behaviours",null,"nA",null,null,null,null,null,17,"(EHIS 2014, available in 2017)","c","Eurostat - Quality of Life",null,0,null,null,null,null,null,1]
["D","IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",306,"Overweight and obesity: Activity levels",null,null,null,null,null,null,null,null,null,"nA",17,null,"c","IOM 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",306,"Percentage reporting >2.5 hours of physical activity per week - age/sex","Proportion of individuals reporting to perform a certain period of time of health enhancing physical activity on an average day/at least X times per week","EHIS instrument to measure the proportion of population performing moderate and vigorous physical activity (days and/or hours per week), derived from questions PE.16: During the past 7 days, a) days and time devoted to vigorous physical activities, b) days and time devoted to moderate physical activities, c) days and time spent walking.",null,null,null,null,null,null,null,53,17,null,"c","Malta - Grech et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",307,"Sedentary leisure time","Individuals who stated that they have a sedentary leisure time when asked “How much have you moved about and exerted yourself physically in your leisure time during the past 12 months?”, 16–84 years old.",null,"Lifestyle and living habits: physical activity",null,null,null,null,null,null,31,17,"Individuals who stated that they have a sedentary leisure time when asked “How much have you moved about and exerted yourself physically in your leisure time during the past 12 months?”, 16–84 years old.","s","Sweden - Socialstyrelsen. (2015)",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0]
["A","Euro-Peristat. (2012). Euro-Peristat project - Better statistics for better health for pregnant women and their babies.   Retrieved from http://www.europeristat.com/",309,"Percentage of infants breastfed at birth?","The number of babies who are partially breastfed (infant receives breast milk and the infant is allowed any food or liquid including non-human milk) and the number who are exclusively breastfed (infant receives breast milk and is allowed to receive drops and syrups) throughout the first 48 hrs of age as a proportion of all newborn babies. (Definitions from WHO Indicators for Assessing Breastfeeding Practices. Report from meeting 11-12 June 1991. Geneva, 1991.)",null,null,null,null,null,null,null,null,"R20",17,null,"c","Europeristat (R) ",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0]
["D","Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",309,"Breastfeeding rates","nA",null,"‘Keeping children out of the hospital’. ‘Healthy start’",null,null,null,null,null,null,"1.5., 5.8.",17,null,"c","MoH New Zealand 2016",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",310,"Tobacco Control Scale","Tobacco Control Scale quantifies the intensity of 6 policies considered by WHO as priorities for a comprehensive tobacco control programme. 100 means maximum score on the 6 policies",null,null,null,null,null,null,null,null,"HP-10",18,null,"c","Belgium - Vrijens et al. (2015)",null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
["A","ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",313,"Policies and practices on health lifestyles","currently being developed as a part of the ECHI initiative",null,"Promotion programmes",null,null,null,null,null,null,"nA",18,null,"c","ESIF for Health 2015",null,0,null,null,1]
["D","Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",314,"Physical activity: Hours of physical education in compulsory school","Hours of physical education in compulsory schoo",null,null,null,"http://eacea.ec.europa.eu/education/eurydice/documents/facts_and_figures/181EN.pdf; www.vsa.zh.ch",null,null,null,null,"5.5.",18,null,"c","EHCI 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",315,"Share of total population living in a dwelling with a leaking roof, damp walls, floors or foundation, or rot in window frames of floor",null,null,"Material living conditions: Housing conditions",null,null,null,"http://ec.europa.eu/eurostat/product?mode=view&code=ilc_mdho01",null,null,null,18,null,"c","Eurostat - Quality of Life",null,0,null,null,null,null,null,1]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",315,"Overcrowding rate",null,null,"Material living conditions: Housing conditions",null,null,null,"http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=ilc_lvho05b&lang=en",null,null,null,18,null,"c","Eurostat - Quality of Life",null,0,null,null,null,null,null,1]
["A","EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",315,"Housing cost over burden rate","Percentage of the population living in a household where total housing costs (net of housing allowances) represent more than 40% of the total disposable household income (net of housing allowances).",null,"Access to decent housing",null,"Eurostat (EU-SILC)",null,null,null,null,null,18,null,"c","SPC - SPPM (DG EMPL)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",316,"Percentage of the population rating their satisfaction with recreational and green areas as high, medium or low",null,null,"Natural and living environment: Access to green and recreational spaces",null,null,null,"http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-485908_QID_C509D19_UID_-3F171EB0&layout=INDIC_WB,L,X,0;LEV_SATIS,L,X,1;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-485908UNIT,PC;DS-485908INDICATORS,OBS_FLAG;DS-485908ISCED97,TOTAL;DS-485908SEX,T;DS-485908AGE,Y_GE16;DS-485908TIME,2013;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=LEV-SATIS_1_2_1_0&rankName9=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=true&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23",null,null,null,18,null,"c","Eurostat - Quality of Life",null,0,null,null,null,null,null,1]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",318,"Average satisfaction with living environment",null,null,"Natural and living environment: Landscape and built environment",null,null,null,"http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-485891_QID_-357263DC_UID_-3F171EB0&layout=INDIC_WB,L,X,0;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-485891ISCED97,TOTAL;DS-485891SEX,T;DS-485891INDICATORS,OBS_FLAG;DS-485891AGE,Y_GE16;DS-485891TIME,2013;DS-485891UNIT,RTG;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=true&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23",null,null,null,18,"SILC 2013: The  variable  refers  to  the  respondent’s  opinion/feeling  about  the  degree  of  satisfaction  with  the quality of his/her living environment. As in variable PW010 the respondent should make a broad,  reflective  appraisal  of  all  areas  related  to  living  environment  in  a  particular  point  in  time (these days). ","c","Eurostat - Quality of Life",null,0,null,null,null,null,null,1]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",318,"Percentage of the population rating their satisfaction with living environment as high, medium or low",null,null,"Natural and living environment: Landscape and built environment",null,null,null,"http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-485908_QID_25FBECD2_UID_-3F171EB0&layout=INDIC_WB,L,X,0;LEV_SATIS,L,X,1;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-485908UNIT,PC;DS-485908INDICATORS,OBS_FLAG;DS-485908ISCED97,TOTAL;DS-485908SEX,T;DS-485908AGE,Y_GE16;DS-485908TIME,2013;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=LEV-SATIS_1_2_1_0&rankName9=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=true&lang=EN&cfo=%23%23%23,%23%23%23.%23%23%23",null,null,null,18,null,"c","Eurostat - Quality of Life",null,0,null,null,null,null,null,1]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",321,"PM10 (particulate matter) exposure","Annual urban population average exposure to outdoor air pollution by particulate matter (PM10).","The population-weighted annual mean concentrations of Particulate Matter 10 measured at urban and sub- urban background stations in agglomerations. Annual mean concentration of PM10 is the averaged over all measurements conducted in the year in question. PM10 refers to particulates whose diameter is less than  10 micrometers. Measurement unit is micrograms per cubic meter.","Urban air pollution is responsible for substantial burden of disease and death. Very young children, probably including unborn babies, are particularly sensitive to air pollutants. Fine particulates (PM10) can be carried deep into the lungs where they can cause inflammation and a worsening of the condition of people with heart and lung diseases. The data in the indicator relate to the target and limit values as set in EC legislation.","in micrograms per cubic metre","Eurostat","• Calendar year\n• Country","http://ec.europa.eu/eurostat/tgm/table.do?tab=table&init=1&language=en&pcode=tsdph370&plugin=1","http://ec.europa.eu/eurostat/cache/metadata/EN/tsdph370_esmsip.htm","http://ec.europa.eu/health/indicators/docs/echi_55.pdf",55,18,"Annual urban population average exposure to outdoor air pollution by particulate matter (PM10).\nFine and coarse particulates (PM10), i.e. particulates whose diameters are less than 10 micrometers, can be carried deep into the lungs where they can cause inflammation and a worsening of the condition of people with heart and lung diseases.","c","ECHI",null,1]
["E","WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",321,"Average concentration of small particles in the air in cities",null,null,"Broader determinants of health: environmental health",null,null,null,null,null,null,null,18,null,"c","Estonia HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","Eurostat (2015) Sustainable development indicators, from http://ec.europa.eu/eurostat/web/sdi/indicators ",322,"Urban population exposure to air pollution, by ozone","shows the population weighted yearly sum of maximum daily 8-hour mean ozone concentrations above a threshold (70 ug/m3) at the urban background stations in agglomerations.",null,null,null,null,null,null,"http://ec.europa.eu/eurostat/cache/metadata/DE/tsdph380_esmsip.htm",null,"nA",18,"shows the population weighted yearly sum of maximum daily 8-hour mean ozone concentrations above a threshold (70 ug/m3) at the urban background stations in agglomerations.","c","Eurostat - SDI",null,0,0,0,0,0,0,0,1]
["A","Consolidated",324,"Proportion of population living in households considering that they suffer from noise",null,null,null,null,null,null,null,null,null,null,18,"The percentage of the total population who declare that they are affected either by noise from neighbours or from outside.","s","Consolidated",2,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["D","IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",326,"Healthy communities: Drinking water quality index",null,null,null,null,null,null,null,null,null,"nA",18,"nA","c","IOM 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",327,"Homicide rate","age-standardised homicide rate / 100 000 people","Physical safety refers to being protected from any situation that puts a person’s physical security at risk, such as crime, accidents or natural disasters. A perceived lack of physical safety may affect subjective well-being more than the actual effects of a physical threat. Homicide causes only a small percentage of all deaths, but its effect on people’s emotional lives is very different to the effect of deaths related to medical conditions. Consequently, the effects of those crimes that affect a person’s physical safety are socially magnified and affect the quality of life not only of those close to the victim, but also of many others who then feel insecure or afraid. ","Economic and physical safety: Physical and personal security - Crime",null,null,null,"http://ec.europa.eu/eurostat/product?mode=view&code=crim_off_cat",null,null,null,18,"age-standardised homicide rate / 100 000 people","c","Eurostat - Quality of Life",null,0,null,null,null,null,null,1]
["E","Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",328,"Surveying and collaboration: Domestic violence","The first indicator studies the incidence of surveys concerning the extent of violence against adults in the municipalities, while the second measures the incidence of current agreements concerning collaboration between social services for youth and adolescent, preschools and schools in the municipalities.\nDomestic violence, the social service in the municipalities answered questions regarding mapping and\ncollaboration with external stakeholders:\n1. Domestic violence, the social service in the municipalities answered questions regarding mapping and collaboration with external stakeholders:\n2. The social service for children and youth have through agreements cooperated in individual cases together with preschool and schools\n(has followed up a written agreement adopted at management level and established on 1 November 2012 - 1 November 2013).",null,"Domestic violence",null,null,null,null,null,null,30,18,"The first indicator studies the incidence of surveys concerning the extent of violence against adults in the municipalities, while the second measures the incidence of current agreements concerning collaboration between social services for youth and adolescent, preschools and schools in the municipalities.\nDomestic violence, the social service in the municipalities answered questions regarding mapping and\ncollaboration with external stakeholders:\n1. Domestic violence, the social service in the municipalities answered questions regarding mapping and collaboration with external stakeholders:\n2. The social service for children and youth have through agreements cooperated in individual cases together with preschool and schools\n(has followed up a written agreement adopted at management level and established on 1 November 2012 - 1 November 2013).","s","Sweden - Socialstyrelsen. (2015)",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0]
["A, C, D, E","Consolidated",329,"Education - Competences and skills: Level of educational attainment",null,null,null,null,null,null,null,null,null,null,18,"Proportion of population aged 25-64 by completed educational level [ISCED class lower (0-2), upper (3-4), tertiary (5-6)], by sex","s","Consolidated",12,1,0,0,0,0,0,3,0,0,0,0,1,1,1,0,0,0,0,0,1,0,1,1,0,0,1,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",329,"Education attainment: Tertiary",null,null,"Education - Competences and skills: Educational attainment",null,null,null,"http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-591613_QID_7DD96E5F_UID_-3F171EB0&layout=TIME,C,X,0;GEO,L,Y,0;SEX,L,Z,0;AGE,L,Z,1;UNIT,L,Z,2;ISCED11,L,Z,3;INDICATORS,C,Z,4;&zSelection=DS-591613UNIT,PC;DS-591613SEX,T;DS-591613AGE,Y15-64;DS-591613INDICATORS,OBS_FLAG;DS-591613ISCED11,ED5-8;&rankName1=ISCED11_1_2_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=TIME_1_0_0_0&rankName7=GEO_1_2_0_1&sortC=ASC_-1_FIRST&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=false&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23",null,null,null,18,null,"c","Eurostat - Quality of Life",null,0,null,null,null,null,null,1]
["C","WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",329,"Educational attainment of people aged 25 years and over who have completed at least secondary education","Educational attainment is defined as the highest level successfully completed by the person in the educational system of the country where the education was received. The levels of education are defined according to the International Standard Classification of Education (ISCED) of 1997.",null,"Educational attainment is used as a measure of human capital and the level of an individual’s skills; it is also measure of the skills available in the population and the labour force. Higher levels of educational attainment are strongly associated with higher employment rates and are perceived as a means to better labour opportunities and earnings premiums, potentially increasing access to goods and services. Educational attainment is an indicator of accumulation of social capital that enhances potential for well-being. Higher attainment levels are associated with higher levels of employment, access to information and health.",null,"UNESCO (32)","Level. Sex",null,null,null,null,18,null,"c","WHO Health 2020",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",329,"% of population 25-64 with low educational attainment (ISCED 0-2)","Proportion (%) of population divided up into three classes of educational attainment (low, middle and high education). Attainment profiles are based on highest completed specified level of education","Percentage of total population in the 7 classes of ISCED (International Standard Classification of Education 1997), aggregated into three attainment groups comprising of: elementary and lower secondary education (ISCED level 0, 1 and 2), upper/post secondary (ISCED levels 3 and 4) and tertiary (ISCED levels 5 and 6)",null,null,null,null,null,null,null,58,18,null,"c","Malta - Grech et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",329,"Completed upper-secondary school","Pupils who completed an upper-secondary school programme within 4 years (municipality averages).",null,"Education, work and self-sufficiency",null,null,null,null,null,null,18,18,null,"c","Sweden - Socialstyrelsen. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",331,"Low wage earners as a proportion of all employees (excluding apprentices)",null,null,"Productive or main activity: Quality of employment - Income and benefits from employment",null,null,null,"http://ec.europa.eu/eurostat/product?mode=view&code=earn_ses_pub1a",null,null,null,18,"Disaggregated by age, sex, and educational attainment. ","s","Eurostat - Quality of Life",1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",332,"Work safety","Number of employed persons who would stay longer at work if their workplace was healthier and/or safer",null,"Occupational health",null,null,null,null,null,null,"nA",18,null,"c","ESIF for Health 2015",null,0,null,null,1]
["A","ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",333,"Number of sick leave cases per 100 000 workers","Number of sick leave cases per 100 000 workers Average length of 1 episode sick leave in days",null,"Occupational health",null,null,null,null,null,null,"nA",18,"Number of sick leave cases per 100 000 workers","s","ESIF for Health 2015",1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","Consolidated",335,"Work-life balance",null,null,null,null,null,null,null,null,null,null,18,"average number of usual hours of work per week in main job or percentage of employees working more than the ILO/OECD threshold level of 49 hours, employees working unsocial hours, and satisfaction with commuting time","s","Consolidated",1,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",335,"Percentage of the population rating their satisfaction with their commuting time as high, medium or low",null,null,"Productive or main activity: Quality of employment - Work/life balance",null,"http://ec.europa.eu/eurostat/statistics-explained/index.php/Quality_of_life_indicators_-_productive_or_main_activity",null,"http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-485908_QID_-6E3F400E_UID_-3F171EB0&layout=INDIC_WB,L,X,0;LEV_SATIS,L,X,1;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-485908SEX,T;DS-485908AGE,Y_GE16;DS-485908UNIT,PC;DS-485908INDICATORS,OBS_FLAG;DS-485908ISCED97,TOTAL;DS-485908TIME,2013;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=LEV-SATIS_1_2_1_0&rankName9=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=true&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23",null,null,null,18,null,"c","Eurostat - Quality of Life",null,0,null,null,null,null,null,1]
["A","European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",336,"Share of temporary contracts and transitions from temporary to permanent",null,null,null,null,"Eurostat",null,null,null,null,31,18,null,"c","European Pillar of Social Rights",null,0,0,0,0,0,0,0,0,1]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",337,"Percentage of the population rating their job satisfaction as high, medium or low",null,null,"Productive or main activity: Quality of employment - Assessment of quality of employment",null,"http://ec.europa.eu/eurostat/statistics-explained/index.php/Quality_of_life_indicators_-_productive_or_main_activity",null,"http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-485908_QID_2C8DFEC7_UID_-3F171EB0&layout=INDIC_WB,L,X,0;LEV_SATIS,L,X,1;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-485908UNIT,PC;DS-485908INDICATORS,OBS_FLAG;DS-485908ISCED97,TOTAL;DS-485908SEX,T;DS-485908AGE,Y_GE16;DS-485908TIME,2013;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=LEV-SATIS_1_2_1_0&rankName9=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=true&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23",null,null,null,18,null,"c","Eurostat - Quality of Life",null,0,null,null,null,null,null,1]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",337,"Good relationship with direct supervisor (to be developed)",null,null,"Productive or main activity: Quality of employment - Assessment of quality of employment",null,"http://ec.europa.eu/eurostat/statistics-explained/index.php/Quality_of_life_indicators_-_productive_or_main_activity",null,"nA",null,null,null,18,"Assessment of quality of employment is under development and will cover: satisfaction with current work (under development in SILC 2013, currently from the European quality of life survey – EQLS), how possible it is to influence the content and order of tasks (under development in LFS 2015), and assessment of the relationships with colleagues and supervisors. ","c","Eurostat - Quality of Life",null,0,null,null,null,null,null,1]
["A","European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",339,"Expected impact of technology (thousands of jobs gained/lost) by 2020",null,null,null,null,"World Economic Forum (2016), Future of Work Report. Based on Survey of CHROs of largest employers by industry. Focus countries: France, Germany, Italy, UK.",null,null,null,null,29,18,"nA","s","European Pillar of Social Rights",1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",340,"Social interactions: Feeling of loneliness",null,null,"Social interactions - Activities with people",null,null,null,"nA",null,null,null,18,null,"c","Eurostat - Quality of Life",null,0,null,null,null,null,null,1]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",341,"Social interactions: Participation in informal voluntary activities (PS100)",null,null,"Social interactions - Activities for people",null,null,null,"http://ec.europa.eu/eurostat/documents/118025/118132/Module2006_PS100.xls/ec2618a1-f972-4fb8-924f-31ca91f9d10a",null,null,null,18,null,"c","Eurostat - Quality of Life",null,0,null,null,null,null,null,1]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",342,"Social support","Proportion of individuals reporting that they have none or 1 person that they can count on if they have serious personal problems.","Number of persons on whom the respondent can rely on when help is needed, as measured by EHIS question EN.4: How many people are so close to you that you can count on them if you have serious personal problem? (None / 1 or 2 / 3 to 5 / More than 5).","Social support is a protective factor in times of stress. A low level of social support is associated with ill-health (both e.g. depression and somatic diseases). It is important for public health policy to collect information on\nsocial support to enable both risk assessment and the planning of preventive interventions.",null,"Eurostat (EHIS)","• Country\n• Calendar year\n• Sex\n• Age group (15-64, 65+)\n• Socio-economic status (educational level. ISCED 3 aggregated groups: 0-2; 3+4; 5+6)","nA","nA","nA",54,18,"Proportion of individuals by age group (15+, 15-64, 65+) and by educational level (ISCED class 0-2, 3-4, 5-6) reporting that they have none or 1 person that they can count on if they have serious personal problems.","c","ECHI",null,1]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",342,"% of the population (aged 15+) reporting a poor social support (by education levels)",null,null,null,null,null,null,null,null,null,null,18,null,"c","Belgium - Vrijens et al. (2015)",null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",343,"Percentage of the population rating their life satisfaction as high, medium or low by domain, sex, age and educational attainment level ",null,null,"Overall experience of life: Life satisfaction [Personal well-being indicators]",null,null,null,"http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-485908_QID_-29EE7E46_UID_-3F171EB0&layout=INDIC_WB,L,X,0;GEO,L,Y,0;UNIT,L,Z,0;LEV_SATIS,L,Z,1;ISCED97,L,Z,2;TIME,C,Z,3;SEX,L,Z,4;AGE,L,Z,5;INDICATORS,C,Z,6;&zSelection=DS-485908SEX,T;DS-485908AGE,Y_GE16;DS-485908UNIT,PC;DS-485908INDICATORS,OBS_FLAG;DS-485908ISCED97,TOTAL;DS-485908LEV_SATIS,HIGH;DS-485908TIME,2013;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=LEV-SATIS_1_2_-1_2&rankName7=ISCED97_1_2_-1_2&rankName8=INDIC-WB_1_2_0_0&rankName9=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=false&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23",null,null,null,18,null,"c","Eurostat - Quality of Life",null,0,null,null,null,null,null,1]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",344,"Negative affects (under development in SILC 2013)",null,null,"Overall experience of life: Affects",null,null,null,"nA",null,null,null,18,null,"c","Eurostat - Quality of Life",null,0,null,null,null,null,null,1]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",344,"Frequency of being happy in the last 4 weeks by age, sex and educational attainment level",null,null,"Overall experience of life: Affects",null,null,null,"http://ec.europa.eu/eurostat/product?mode=view&code=ilc_pw08",null,null,null,18,null,"c","Eurostat - Quality of Life",null,0,null,null,null,null,null,1]
["A","EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",null,"Early school leavers (in %)","Share of persons aged 18 to 24 who have only lower secondary education (their highest level of education or training attained is 0, 1 or 2 according to the 1997 International Standard Classification of Education – ISCED 97) and have not received education or training in the four weeks preceding the survey.",null,"Youth exclusion",null,"Eurostat (EU-SILC)",null,null,null,null,null,19,null,"x","SPC - SPPM (DG EMPL)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A",null,null,"Education - Competences and skills: Level of skills",null,null,null,null,null,null,null,null,null,null,19,"Competences and skills are measured through data on educational attainment of the population (provided by the Labour Force Survey - LFS): \nself-reported: i) Individuals' level of Internet skills; ii) Population reporting not to know any foreign language; iii) Level of the best-known foreign language. \nassessed: Programme for the International Assesssment of Adult Competencies (PIAAC)","x","Consolidated",null,0]
["A",null,null,"Education - Life-long learning",null,null,null,null,null,null,null,null,null,null,19,"Disaggregated by sex, age and labour status. \nPeople that participated in education or training in the four preceding weeks. ","x","Consolidated",null,0]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",null,"People that participated in education or training in the four preceding weeks",null,null,"Education - Life-long learning",null,null,null,"http://ec.europa.eu/eurostat/product?mode=view&code=trng_lfs_02",null,null,null,19,null,"x","Eurostat - Quality of Life",null,0,null,null,null,null,null,1]
["D",null,null,"Primary school readiness rate",null,null,null,null,null,null,null,null,null,null,19,"\"While there is no single definition of school readiness, experts agree that readiness is a multifaceted concept that goes beyond academic and cognitive skills to include physical, social, and emotional development, as well as approaches to learning.\" RAND, http://www.rand.org/pubs/research_briefs/RB9144/index1.html. \n\nCIHI measures \"children vulnerable in areas of early development\" with the following instrument: \nThe percentage of children who are considered vulnerable on at least 1 area of development at school entry, as measured by the Early Development Instrument (EDI). The EDI is a kindergarten teacher–completed checklist that consists of 104 questions and measures 5 areas of early child development:\n1) Physical health and well-being\n2) Social knowledge and competence\n3) Emotional health/maturity\n4) Language and cognitive development\n5) General knowledge and communication skills ","x","Consolidated",null,0]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",null,"Population in arrears",null,null,"Economic and physical safety: Economic security and vulnerability - Debt",null,null,null,"http://ec.europa.eu/eurostat/product?mode=view&code=ilc_mdes05",null,null,null,19,null,"x","Eurostat - Quality of Life",null,0,null,null,null,null,null,1]
["A","EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",null,"Long-term unemployment rate","Total long-term unemployed population (≥12 months' unemployment; ILO definition) as a proportion of total active population.",null,null,null,"Eurostat (EU-SILC)",null,null,null,null,null,19,null,"x","SPC - SPPM (DG EMPL)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",null,"Long-term unemployment and youth long-term unemployment, %",null,null,null,null,"Eurostat",null,null,null,null,20,19,null,"x","European Pillar of Social Rights",null,0,0,0,0,0,0,0,0,1]
["A","EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",null,"Youth unemployment ratio (15-24)","Total unemployed young people (ILO definition), 15-24 years, as a share of total population in the same age group (i.e. persons aged 15-24 who were without work during the reference week, were currently available for work and were either actively seeking work in the past four weeks or had already found a job to start within the next three months as a percentage of the total population in the same age group).",null,"Youth exclusion",null,"Eurostat (EU-SILC)",null,null,null,null,null,19,null,"x","SPC - SPPM (DG EMPL)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",null,"Employment ratio of people with mental health disorder","Ratio of employment rate of people with mental health disorder to employment rate of all people with disabilities",null,null,null,"European Labour Force Study 2002",null,null,null,null,null,19,null,"x","Belgium - Vrijens et al. (2015)",null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
["A","EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",null,"In-work at risk-of-poverty rate (in %)","Individuals (18-64) who are classified as employed according to their most frequent activity status and are at risk of poverty. The distinction is made between “wage and salary employment plus self-employment” and “wage and salary employment” only",null,"Social consequences of labour market situation",null,"Eurostat (EU-SILC)",null,null,null,null,null,19,"Individuals (18-64) who are classified as employed according to their most frequent activity status and are at risk of poverty. The distinction is made between “wage and salary employment plus self-employment” and “wage and salary employment” only","x","SPC - SPPM (DG EMPL)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",null,"Aggregate replacement ratio","Median individual pension income of 65-74 relative to median individual earnings of 50-59, excluding other social benefits",null,"Pension adequacy",null,"Eurostat (EU-SILC)",null,null,null,null,null,19,"Median individual pension income of 65-74 relative to median individual earnings of 50-59, excluding other social benefits","x","SPC - SPPM (DG EMPL)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",null,"Income inequality","4) Income inequality: the ratio of total income received by 20% of the country’s population with the highest income to that received by 20% of the country’s population with the lowest income.","2) Income inequality is calculated as the ratio of the sum of equivalised disposable income received by\nthe 20% of the country’s population with the highest equivalised disposable income (top inter-quintile\ninterval) to that received by the 20% of the country’s population with the lowest equivalised disposable\nincome (lowest inter-quintile interval).","Important indicator for social inclusion. Economic deprivation can have a negative effect on health and wellbeing. Children are especially vulnerable.","Ratio","Eurostat (EU-SILC)","gender, age","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=ilc_di11&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/ilc_esms.htm","http://ec.europa.eu/health/indicators/docs/echi_9.pdf","9 (B",19,"Inequality of income (income quintile share ratio), total population, by sex, by age grop (0-64, 65+)","x","ECHI",null,1]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",null,"Percentage of the population rating their satisfaction of their financial situation as high, medium or low ",null,null,"Material living conditions: Income",null,null,null,"http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-485908_QID_-24BA9028_UID_-3F171EB0&layout=INDIC_WB,L,X,0;LEV_SATIS,L,X,1;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-485908UNIT,PC;DS-485908INDICATORS,OBS_FLAG;DS-485908ISCED97,TOTAL;DS-485908SEX,T;DS-485908AGE,Y_GE16;DS-485908TIME,2013;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=LEV-SATIS_1_2_1_0&rankName9=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=true&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23",null,null,null,19,null,"x","Eurostat - Quality of Life",null,0,null,null,null,null,null,1]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",null,"Experienced discrimination (to be developed)",null,null,"Governance and basic rights: Discrimination and equal opportunities",null,null,null,"nA",null,null,null,19,null,"x","Eurostat - Quality of Life",null,0,null,null,null,null,null,1]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",null,"Gender employment gap",null,null,"Governance and basic rights: Discrimination and equal opportunities",null,null,null,"http://ec.europa.eu/eurostat/product?mode=view&code=tesem060",null,null,null,19,null,"x","Eurostat - Quality of Life",null,0,null,null,null,null,null,1]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",null,"Voice and accountability (to be developed)",null,null,"Governance and basic rights: Active citizenship",null,null,null,"nA",null,null,null,19,null,"x","Eurostat - Quality of Life",null,0,null,null,null,null,null,1]
["E","Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",null,"Inhabitants' perceptions of their opportunity to influence decision-making in the municipality","Citizens' possibility of in\u007fuencing th decision-making in the municipality, based on three questions with the satisfaction of in\u007fuence, index on a scale of 1–100.",null,"Participation in society",null,null,null,null,null,null,23,19,null,"x","Sweden - Socialstyrelsen. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",null,"Participation in political parties and/or trade unions (PS110)",null,null,"Governance and basic rights: Active citizenship",null,null,null,"http://ec.europa.eu/eurostat/documents/118025/118132/Module2006_PS110.xls/685b4be1-d927-4376-b315-ae4ee0459f75",null,null,null,19,null,"x","Eurostat - Quality of Life",null,0,null,null,null,null,null,1]
["E","Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",null,"Turnout at elections","Eligible voters who participated in municipal election of those citizens who are enrolled in the electoral register",null,"Participation in society",null,null,null,null,null,null,22,19,null,"x","Sweden - Socialstyrelsen. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A",null,null,"Quantity of leisure ",null,null,null,null,null,null,null,null,null,null,19,"Quantity of leisure concerns the availability of time and its use (including personal care), including the satisfaction of people with the amount of time they have to do things they like (a satisfaction with time indicator is being developed in SILC 2013 ad-hoc module). ","x","Consolidated",null,0]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",null,"Quantity of leisure: Average satisfaction with time use",null,null,"Leisure - Quantity",null,null,null,"http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-485891_QID_2371BB03_UID_-3F171EB0&layout=INDIC_WB,L,X,0;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-485891ISCED97,TOTAL;DS-485891SEX,T;DS-485891INDICATORS,OBS_FLAG;DS-485891AGE,Y_GE16;DS-485891TIME,2013;DS-485891UNIT,RTG;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=true&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23",null,null,null,19,null,"x","Eurostat - Quality of Life",null,0,null,null,null,null,null,1]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",null,"Quantity of leisure: Percentage of the population rating their satisfaction with time use as high, medium or low",null,null,"Leisure - Quantity",null,null,null,"http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-485908_QID_-7FEFD6B7_UID_-3F171EB0&layout=INDIC_WB,L,X,0;LEV_SATIS,L,X,1;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-485908UNIT,PC;DS-485908INDICATORS,OBS_FLAG;DS-485908ISCED97,TOTAL;DS-485908SEX,T;DS-485908AGE,Y_GE16;DS-485908TIME,2013;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=LEV-SATIS_1_2_1_0&rankName9=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=true&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23",null,null,null,19,null,"x","Eurostat - Quality of Life",null,0,null,null,null,null,null,1]
["A",null,null,"Quality and access to leisure",null,null,null,null,null,null,null,null,null,null,19,"Quality of and access to leisure are measured for the moment with indicators on self-reported attendance at leisure activities that people are interested in, for example cinema, theatre or cultural centres. Other indicators on the topic are to be developed. ","x","Consolidated",null,0]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",null,"Quality of leisure",null,null,"Leisure - Quality",null,null,null,"nA",null,null,null,19,null,"x","Eurostat - Quality of Life",null,0,null,null,null,null,null,1]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",null,"Percentage of people going to the cinema in 2005 (PS010)",null,null,"Leisure - Accesss",null,null,null,"http://ec.europa.eu/eurostat/documents/118025/118132/Module2006_PS010.xls/685b4be1-d927-4376-b315-ae4ee0459f75",null,null,null,19,null,"x","Eurostat - Quality of Life",null,0,null,null,null,null,null,1]
["A, B, C, D","Consolidated",345,"Total population",null,null,null,null,null,null,null,null,null,null,19,"Population on 1 January , total (absolute numbers) by sex, age group, by area (rural, urban), share of immigrant population","s","Consolidated",4,2,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,3,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",345,"Population by sex / age - ","a) Total population by country, broken down by sex and age.\nb) Old-age-dependency ratio.","a) The number of usual resident inhabitants of a given area on 1 January of the year in question (absolute\nnumbers).\nb) The ratio between the total number of elderly persons of an age when they are generally economically\ninactive (aged 65 and over) and the number of persons of working age (from 15 to 64).","Basic demographic data are important by itself and are required for the calculation of many of the other\nindicators (denominator for rates and ratios). Age structure is also essential for public health planning and\nscenarios.","Absolute numbers","Eurostat","a) \n• Calendar year\n• Country\n• Region (according to ISARE recommendations)\n• Sex\n• Age group (0-14, 15-24, 25-49, 50-64, 65-79 and 80+).\nb)\n• Calendar year\n• Country","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=demo_pjangroup&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/demo_pop_esms.htm","http://ec.europa.eu/health/indicators/docs/echi_1.pdf",1,19,"Population on 1 January , total (absolute numbers) by sex, age group","c","ECHI",null,1]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",345,"Population projections","Population projections are what-if scenarios that aim to provide information about the likely future size and structure of the population based on assumptions for fertility, mortality and migration. Population projections expressed in absolute numbers.","The EUROPOP2010 “convergence scenario” is used. This is based on the population on 1st January\n2010, and the assumptions have been developed in a conceptual framework where the socio-economic and\ncultural differences between EU Member States would fade away in the long run. This assumption implies\na convergence of the most important demographic values. For example, in the (hypothetical) convergence\nyear 2150, fertility is assumed to converge to levels achieved by MSs that are considered to be forerunners\nin the demographic transition. Life expectancy increases are assumed to be greater for countries at lower\nlevels of life expectancy and smaller for those at higher levels. Migration is assumed to converge to zero net\nmigration in 2150. These assumptions can be summarised by means of indicators such as total fertility rate,\nlife expectancy at birth and net international migration for the target year 2060.","Basic demographic data by itself: population projections are predictive measures which implicate that if the\nhypothetical projection calculation premises are correct, what projected population size and age structure\nwould result in any future year. The current scenario is primarily used in the context of the European\nCommission’s analysis of the impact of ageing populations on public spending.","Absolute numbers","Eurostat","• Calendar year (from 2010 up to and including 2060)\n• Country\n• Region (according to ISARE recommendations)\n• Sex\n• Age group (0-24, 25-64, 65+)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=proj_13npms&lang=en","http://epp.eurostat.ec.europa.eu/cache/ITY_SDDS/EN/proj_13n_esms.htm","http://ec.europa.eu/health/indicators/docs/echi_5.pdf",5,19,"Estimate of population size using convergence scenario (2150), total (absolute numbers), by sex, age-group","e","ECHI",null,1]
["A","European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",345,"Breakdown of EU28 population","foreignz citizens from another MS, foreign citizens from non-EU citizens, Nationals",null,null,null,"Eurostat, LFS",null,null,null,null,10,19,null,"c","European Pillar of Social Rights",null,0,0,0,0,0,0,0,0,1]
["C","World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",345,"Mid-year population (thousands)",null,null,null,null,null,null,null,null,null,1,19,null,"c","WHO Core Health 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["C","World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",345,"Natural population growth per 1000",null,null,null,null,null,null,null,null,null,4,19,null,"c","WHO Core Health 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["C","World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",345,"Urban population (%)",null,null,null,null,null,null,null,null,null,5,19,null,"c","WHO Core Health 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",345,"Total Population",null,null,"Regional Characteristics and Inputs",null,"·      Statistics Canada",null,null,null,null,null,19,null,"c","CIHI In Depth (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",345,"Rural Area Population",null,null,"Regional Characteristics and Inputs",null,"·      Statistics Canada",null,null,null,null,null,19,null,"c","CIHI In Depth (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",345,"Immigrant Population",null,null,"Structural Factors Influencing Health",null,"·      Statistics Canada",null,null,null,null,null,19,null,"c","CIHI In Depth (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["B",null,345,"Total population",null,null,null,null,null,null,null,null,null,null,19,null,"c","Health at a Glance 2015",null,0]
["D","CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",345,"Aboriginal Population",null,null,"Structural Factors Influencing Health",null,"·      Statistics Canada",null,null,null,null,null,19,null,"ms","CIHI In Depth (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",346,"Birth rate, crude","The ratio of the number of births during the year to the average population in that year. The value is expressed per 1000 inhabitants.","The crude Birth Rate is calculated as the number of resident live births in a country during a calendar year\ndivided by the average population for the country multiplied by 1000. The average population during\na calendar year is generally calculated as the arithmetic mean of the population on 1 January of two\nconsecutive years (it is also referred to as the mean population).","Basic demographic data. An indicator needed for calculating population growth (together with crude\nmortality rate).","Values","Eurostat","• Calendar year\n• Country\n• Region (according to ISARE recommendations)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=demo_gind&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/demo_gind_esms.htm","http://ec.europa.eu/health/indicators/docs/echi_2.pdf",2,19,"Live births per 1000 population","s","ECHI",1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","Euro-Peristat. (2012). Euro-Peristat project - Better statistics for better health for pregnant women and their babies.   Retrieved from http://www.europeristat.com/",363,"Distribution of gestational age by vital status, plurality","Number of live births and fetal deaths at each completed week of gestation (starting from 22 weeks) expressed as a proportion of all live and stillbirths for singletons and multiples.\nGestational age is defined as the best obstetrical estimate.\nThis distribution is presented, as follows:\n22-36 weeks of gestation (preterm births)\n37-41 weeks (term births)\n41+ weeks (post-term births)\nPreterm births can also be presented as:\n22-27 weeks (extremely preterm)\n28-31 weeks (very preterm)\n32-36 weeks (moderately preterm)",null,null,null,null,null,null,null,null,"C5",19,"Number of live births and fetal deaths at each completed week of gestation (starting from 22 weeks) expressed as a proportion of all live and stillbirths for singletons and multiples.\nGestational age is defined as the best obstetrical estimate.\nThis distribution is presented, as follows:\n22-36 weeks of gestation (preterm births)\n37-41 weeks (term births)\n41+ weeks (post-term births)\nPreterm births can also be presented as:\n22-27 weeks (extremely preterm)\n28-31 weeks (very preterm)\n32-36 weeks (moderately preterm)","s","Europeristat",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0]
["A","Euro-Peristat. (2012). Euro-Peristat project - Better statistics for better health for pregnant women and their babies.   Retrieved from http://www.europeristat.com/",364,"Multiple birth rate by number of fetuses","The number of women in a multiple gestation pregnancy at delivery as a proportion of all women delivering live or stillborn babies by number of fetuses",null,null,null,null,null,null,null,null,"C7",19,"The number of women in a multiple gestation pregnancy at delivery as a proportion of all women delivering live or stillborn babies by number of fetuses","s","Europeristat",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0]
["A","Euro-Peristat. (2012). Euro-Peristat project - Better statistics for better health for pregnant women and their babies.   Retrieved from http://www.europeristat.com/",365,"Distribution of parity ","Distribution of parity (number of previous live or stillbirths) of women delivering a live or stillbirth.",null,null,null,null,null,null,null,null,"C9",19,"Distribution of parity (number of previous live or stillbirths) of women delivering a live or stillbirth.","s","Europeristat",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0]
["A, C","Consolidated",347,"Total fertility rate",null,null,null,null,null,null,null,null,null,null,19,"The mean number of children that would be born alive to a woman during her lifetime if she were to pass through her childbearing years conforming to the fertility rates by age of a given year.","s","Consolidated",2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",347,"Total fertility rate","The mean number of children that would be born alive to a woman during her lifetime if she were to pass through her childbearing years conforming to the fertility rates by age of a given year.","Total fertility rate is computed as the mean number of children that would be born alive to a woman during\nher lifetime if she were to pass through her childbearing years (generally defined as 15-49) conforming to the\nfertility rates by age of a given year. It is computed by adding the fertility rates by age for women in a given\nyear (the number of women at each age is assumed to be the same, i.e. mortality is assumed to be zero during\nthe child-bearing period).","Basic demographic data. The total fertility rate is the completed fertility of a hypothetical generation and is\nalso used to indicate the replacement level fertility, i.e. the fertility needed to compensate mortality loss. In more developed countries, a rate of 2.1 is considered to be replacement level.","Rate","Eurostat","• Calendar year\n• Country\n• Region (according to ISARE recommendations)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=demo_find&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/demo_fer_esms.htm","http://www.healthindicators.eu/healthindicators/object_binary/o3000_4.-Total-fertility-rate.pdf",4,19,"Total fertility rate","c","ECHI",null,1]
["C","World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",347,"Total fertility rate",null,null,null,null,null,null,null,null,null,3,19,null,"c","WHO Core Health 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A, D","Consolidated",348,"Distribution of maternal age",null,null,null,null,null,null,null,null,null,null,19,"Distribution of age in years at delivery for women delivering a live or stillbirth. \nRecommended presentation, as follows: <15,15-17, 18-19,20-24,25-29,30-34,35-39,40-44,45-49,50+","s","Consolidated",3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",348,"Mother’s age distribution","Distribution of live births by mother’s age at last birthday","Percentage of live births in mothers younger than 20 years, and percentage of live births in mothers of\n35 years of age and older.","Both early and late childbearing are associated with higher than average rates of preterm birth, growth\nrestriction and mortality in the perinatal period.","Percentage","Eurostat","• Calendar year\n• Country\n• Region (according to ISARE recommendations).\n• Socio-economic status (educational level. ISCED 3 aggregated groups: 0-2; 3+4; 5+6), only relevant for\nmothers aged 35 and over.","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=demo_fagec&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/demo_fer_esms.htm","http://www.healthindicators.eu/healthindicators/object_binary/o3022_3.-Mother's-age-distribution.pdf",3,19,"Percentage of live births in mothers by age group and education","c","ECHI",null,1]
["D","IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",348,"Unintended pregnancy: Teen pregnancy rate",null,null,"It is a measure that aggregates a variety of social, behavioral, cultural, and health factors, particularly the availability and use of both knowledge and tools for family planning. ",null,"CDC Vital Statistics System","race, ethnicity",null,null,null,"nA",19,null,"c","IOM 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","Euro-Peristat. (2012). Euro-Peristat project - Better statistics for better health for pregnant women and their babies.   Retrieved from http://www.europeristat.com/",348,"Distribution of maternal age","Distribution of age in years at delivery for women delivering a live or stillbirth. \nRecommended presentation, as follows: <15,15-17, 18-19,20-24,25-29,30-34,35-39,40-44,45-49,50+",null,null,null,null,null,null,null,null,"C8",19,"Distribution of age in years at delivery for women delivering a live or stillbirth. \nRecommended presentation, as follows: <15,15-17, 18-19,20-24,25-29,30-34,35-39,40-44,45-49,50+","c","Europeristat",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0]
["A, B, C","Consolidated",349,"GDP per capita",null,null,null,null,null,null,null,null,null,null,19,"GDP per capita in PPS per inhabitant.","s","Consolidated",7,0,0,0,0,0,0,0,0,2,0,3,1,1,1,0,0,1,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",349,"Current account balances crisis hit countries vs. surplus countries",null,null,null,null,"Eurostat. Estimates for 2015",null,null,null,null,36,19,null,"c","European Pillar of Social Rights",null,0,0,0,0,0,0,0,0,1]
["A","European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",349,"Nominal unit labour cost, EA north vs. EA south+Ireland",null,null,null,null,"Eurostat. Note: Estimates for 2015.",null,null,null,null,37,19,null,"c","European Pillar of Social Rights",null,0,0,0,0,0,0,0,0,1]
["A","EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",349,"GDP per capita",null,null,null,null,null,null,null,null,null,"nA",19,null,"c","EXPH 2014",null,0,0,0,0,0,0,0,0,0,0,1]
["A","EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",349,"Economic impact - full income (VLY + GDP)","measures of economic Value of additional Life Years.",null,null,null,999,null,null,null,null,"nA",19,null,"c","EXPH 2014",null,0,0,0,0,0,0,0,0,0,0,1]
["A","EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",349,"GDP growth",null,null,null,null,null,null,null,null,null,"nA",19,null,"c","EXPH 2014",null,0,0,0,0,0,0,0,0,0,0,1]
["A","EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",349,"GDP per capita","GDP per capita in PPS per inhabitant.",null,null,null,"Eurostat",null,null,null,null,"S-6",19,"GDP per capita in PPS per inhabitant.","c","JAF Health (DG EMPL)",null,0,0,0,0,0,0,0,0,0,0,0,1]
["A","European Commission (2014). Comparative efficiency of health systems, corrected for selected lifestyle factors. Retrieved from http://ec.europa.eu/health/systems_performance_assessment/docs/2015_maceli_report_en.pdf",349,"National income: gross domestic product per capita",null,null,null,null,null,null,null,null,null,null,19,null,"c","EC-MACELI 2014",null,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","Medeiros J & Schwierz C (2015) Efficiency estimates of health care systems - European Commission Economic Papers (Vol. 549). Brussels: European Economy.",349,"Income: GDP per capita in PPP","GDP per capita in PPP",null,null,null,null,null,null,null,null,"nA",19,null,"c","Medeiros & Schwierz 2015 (DG-ECFIN)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["B","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",349,"GDP per capita and average annual growth rates",null,null,null,null,null,null,null,null,null,null,19,null,"c","Health at a Glance 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["C","World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",349,"Real GDP, PPP$ per capita",null,null,null,null,null,null,null,null,null,8,19,null,"c","WHO Core Health 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["C","World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",349,"Annual growth rate of GDP (%)",null,null,null,null,null,null,null,null,null,9,19,"Health 2020","c","WHO Core Health 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","Consolidated",350,"Employment rate",null,null,null,null,null,null,null,null,null,null,19,"Proportion of population aged 25-64 whose current or last main occupation is/was  (by ESeC class: 1-2, 3/6, 4-5, 8-9, 7) by sex. ","s","Consolidated",6,1,0,0,1,0,0,1,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",350,"Population by occupation","Proportion (%) of population by occupational group. Classification is based on the current or last (main) occupation.","According to European Socio-economic Classification (ESeC) project recommendations; 9 occupational\nclasses (and one class for never worked/long-term unemployed), based on ISCO classification and additional\ninformation on: 1) status (self-employed/employees), 2) organization size for employers (less than 10/10\nemployees or more), 3) hierarchical position for employee (supervisor or ordinary employee). The 9 classes\nare to be aggregated into 5 groups: ESeC classes 1+2, 3+6, 4+5, 7, and 8+9.","Next to stratification schemes based on educational level and income, occupation-based social class schemes provide an important tool for monitoring socio-economic inequalities in health.",null,"Eurostat (LFS)","• Calendar year\n• Country\n• Region (according to ISARE recommendations)\n• Sex\n• Age group (25-64)",null,null,null,7,19,"Proportion of population aged 25-64 whose current or last main occupation is/was  (by ESeC class: 1-2, 3/6, 4-5, 8-9, 7) by sex","c","ECHI",null,1]
["A","ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",350,"Employment rate of workers aged 55- 64","Proportion of people aged 55-64 in employment.",null,"Active and healthy ageing",null,null,null,null,null,null,"nA",19,null,"c","ESIF for Health 2015",null,0,null,null,1]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",350,"Employment rate",null,null,"Productive or main activity: Quantity of employment - Employment and unemployment",null,null,null,"http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-055844_QID_-7E87E554_UID_-3F171EB0&layout=TIME,C,X,0;GEO,L,Y,0;SEX,L,Z,0;AGE,L,Z,1;ISCED11,L,Z,2;UNIT,L,Z,3;INDICATORS,C,Z,4;&zSelection=DS-055844UNIT,PC;DS-055844ISCED11,TOTAL;DS-055844INDICATORS,OBS_FLAG;DS-055844AGE,Y15-64;DS-055844SEX,T;&rankName1=ISCED11_1_2_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=TIME_1_0_0_0&rankName7=GEO_1_2_0_1&sortC=ASC_-1_FIRST&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=NONE&time_most_recent=false&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23",null,null,null,19,null,"c","Eurostat - Quality of Life",null,0,null,null,null,null,null,1]
["A","Euro-Peristat. (2012). Euro-Peristat project - Better statistics for better health for pregnant women and their babies.   Retrieved from http://www.europeristat.com/",350,"Distribution of household occupation","The distribution of the mother’s and father’s occupation for mothers and fathers of live or stillborn babies using the International Standard Classification of Occupations (ISCO-08) major groups:\n1-Managers\n2-Professionals\n3-Technicians and associate professionals\n4-Clerical support workers\n5-Service and sales workers\n6-Skilled agricultural, forestry and fishery workers\n7-Craft and related trades workers\n8-Plant and machine operators, and assemblers\n9-Elementary occupations\n0-Armed forces occupations\n99 – no profession\n88 – student\nhttp://www.ilo.org/public/english/bureau/stat/isco/\nIf countries cannot use this classification, data are provided using local classifications used to\nreport on occupation in your system.",null,null,null,null,null,null,null,null,"R10",19,null,"c","Europeristat (R) ",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0]
["A","European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",350,"\"Winners\" and \"losers\" among professions. Cumulative growth rate of distribution of population by occupation","legislators, senior officials and managers; professionals; technicians  and associate professionals; clerks; service workers and shop and market sales workers; skilled agricultural and fishery workers; craft and related trades workers; plant and machine operators and assemblers; elementary occupations; armed forces",null,"These transformations will thus particularly affect production lines in the manufacturing sector, a particularly relevant point for Europe's industrial core, but they may also affect specific high-skilled occupations.\nFor instance, \"hollowing out\" effects are already tangible in higher-skill professions such as journalism, accounting, tax and management consultancy, legal and other advisory, eventually even education. \nManual work – in particular in manufacturing and agriculture – has in part been losing ground in recent years, which is more than the effect of the crisis and certainly also reflects the process of automation. ",null,"Eurostat",null,null,null,null,27,19,null,"c","European Pillar of Social Rights",null,0,0,0,0,0,0,0,0,1]
["A","European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",350,"Employment rates, EU28 and groups of countries, 2000-2015, % of age group 15-64",null,null,null,null,"Eurostat",null,null,null,null,17,19,null,"c","European Pillar of Social Rights",null,0,0,0,0,0,0,0,0,1]
["A","European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",350,"Employment rates of women and men (age group 15-64), and older adults (age group 55-65), EU28, %",null,null,null,null,"Eurostat",null,null,null,null,9,19,null,"c","European Pillar of Social Rights",null,0,0,0,0,0,0,0,0,1]
["A","European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",350,"Change in total employment by sector in EU28, 2010-14, absolute numbers",null,null,null,null,"OECD, 2015",null,null,null,null,28,19,null,"c","European Pillar of Social Rights",null,0,0,0,0,0,0,0,0,1]
["A","European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",350,"Net Employment Change (in thousands) by job-wage quintile, EU27",null,null,"If skill levels largely determine access to opportunities, they also explain a sizeable part of the employment-wage gap. Permanent employment – associated with high skill levels – remains the best paid, the most secure and the fastest growing in Europe. During and immediately after the economic and financial crisis, employment only grew in jobs accounting for the lowest and highest job-wage quintile",null,"European Commission (2016), Employment and Social Developments in Europe (ESDE) 2015",null,null,null,null,34,19,null,"c","European Pillar of Social Rights",null,0,0,0,0,0,0,0,0,1]
["A","EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",350,"Employment rates for older workers (55-64), in %","Persons in employment in age group 55-64, as a proportion of total population in the same age group.",null,"Youth exclusion",null,"Eurostat (EU-SILC)",null,null,null,null,null,19,null,"c","SPC - SPPM (DG EMPL)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A, C, D, E","Consolidated",351,"Unemployment rate",null,null,null,null,null,null,null,null,null,null,19,"Unemployment rate, % of labour force, annual average, total population (15-74 years), by sex","s","Consolidated",7,1,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,1,1,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",351,"Total unemployment","1) Proportion (%) of unemployed persons aged 15-74 in the labour force.\n2) Proportion (%) of long-term unemployed persons aged 15-74 in the labour force.","1) The (annual average) number of unemployed people aged 15-74 years who where without work, were\ncurrently available for work and were either actively seeking work in the past four weeks or had already\nfound a job to start with within the next two weeks, as a proportion of the labour force (unemployed\nand employed persons aged 15 to 74 ). Annual averages are calculated based on four reference weeks,\neach for one quarter of the year.\n2) The (annual average) number of long-term unemployed people (persons who have been unemployed\nfor one year or more) aged 15-74 years as a proportion of the labour force (unemployed and employed\npersons 15 to 74 years of age). Annual averages are calculated based on using four reference weeks, each\nfor one quarter of the year.","Important indicator from the view of socio-economic differences in health. Besides other special risks,\nunemployment is tied up with poverty. Especially long-term unemployment itself has detrimental health\neffects.","Rate","Eurostat (LFS)","• Calendar year\n• Country\n• Region (according to ISARE recommendations; see data availability)\n• Sex\n• Age group (15-24)","http://ec.europa.eu/eurostat/web/lfs/data/database","http://ec.europa.eu/eurostat/cache/metadata/en/une_esms.htm","http://ec.europa.eu/health/indicators/docs/echi_8.pdf",8,19,"a) Unemployment rate, % of labour force, annual average, total population (15-74 years), by sex\nb) Long term unemployment rate, % of labour force, annual average, total population (15-74 years), by sex","c","ECHI",null,1]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",351,"Unemployment rate",null,null,"Productive or main activity: Quantity of employment - Employment and unemployment",null,null,null,"http://ec.europa.eu/eurostat/product?mode=view&code=lfsa_urgaed",null,null,null,19,null,"c","Eurostat - Quality of Life",null,0,null,null,null,null,null,1]
["A","European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",351,"Total unemployment, annual average, %",null,null,null,null,"Eurostat",null,null,null,null,18,19,null,"c","European Pillar of Social Rights",null,0,0,0,0,0,0,0,0,1]
["C","WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",351,"Unemployment rate, disaggregated by age and sex",null,null,null,null,"ILOSTAT and Eurostat (ILO 38; EU-SILC 30; total 43)",null,null,null,null,10,19,null,"c","WHO Health 2020",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["C","World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",351,"Unemployment rate (%)",null,null,null,null,null,null,null,null,null,7,19,"Health 2020","c","WHO Core Health 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",351,"Unemployment Rate",null,null,"Structural Factors Influencing Health",null,"·      Statistics Canada",null,null,null,null,null,19,null,"c","CIHI In Depth (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",351,"Unemployment rate",null,null,"Broader determinants of health: social determinants of health",null,null,null,null,null,null,null,19,null,"c","Estonia HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","Consolidated",352,"Population living in very low intensity (quasijobless) households",null,null,null,null,null,null,null,null,null,null,19,"People aged 0-59, living in households, where working-age adults (18-59) work less than 20% of their total work potential during the past year.","s","Consolidated",3,0,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",352,"People living in households with very low work intensity: by age and sex, by income quintile and household type",null,null,"Productive or main activity: Quantity of employment - UnderEmployment, quantity",null,null,null,"http://ec.europa.eu/eurostat/product?mode=view&code=ilc_lvhl11",null,null,null,19,null,"c","Eurostat - Quality of Life",null,0,null,null,null,null,null,1]
["A","European Commission (2011). Commission Staff Working Document on EU indicators in the field of youth. SEC(2011) 401 final.  Retrieved from http://ec.europa.eu/youth/library/publications/indicator-dashboard_en.pdf\nEuropean Commission (2015). Youth monitor - European Commission.   Retrieved from http://ec.europa.eu/youth/dashboard/index_en.htm",352,"Living in households with very low work intensity by children (<18y), young people (18-24) and the gap between total population","People living in households with very low work intensity are people aged 0-59 living in households where adults worked less than 20 % of their total work potential during the past year.",null,"Social inclusion",null,"Eurostat (EU-SILC)",null,null,null,null,null,19,null,"c","EU Youth Health 2015 (DG EAC)",null,0,0,0,0,0,0,0,0,0,1]
["A","EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",352,"Population living in very low intensity (quasijobless) households","People aged 0-59, living in households, where working-age adults (18-59) work less than 20% of their total work potential during the past year.",null,"Work intensity is taken into account in a broad range of indicators since it is one of the three dimensions that included in the EU2020 indicators. This indicator refers to people living in households with work intensity less than 0.2. The promotion of employment growth has been high on the agenda of the EU for several decades, to that extent, the overall distribution of population living in households with very low work intensity provides valuable information.",null,"Eurostat (EU-SILC)","gender; age - 0-17 (0-5; 6-11; 12-17), 18-59",null,null,null,null,19,"People aged 0-59, living in households, where working-age adults (18-59) work less than 20% of their total work potential during the past year.","c","SPC - SPPM (DG EMPL)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",353,"Mean and median income",null,null,"Material living conditions: Income",null,null,null,"http://ec.europa.eu/eurostat/product?mode=view&code=ilc_di03","http://ec.europa.eu/eurostat/cache/metadata/en/ilc_esms.htm",null,null,19,"Disaggregated by age and sex. \nDisposable net income is the total gross disposable income (i.e. all income from work, private income from investment and property, transfers between households and all social transfers received in cash including old-age pensions) minus social security contributions and income taxes payable by employees (see the metadata here). ","s","Eurostat - Quality of Life",2,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",353,"Real change in gross household disposable income (in %) (GHDI)","Real growth in gross household disposable income (GHDI).\nReal GDHI is calculated as nominal GDHI divided by the deflator of household final consumption expenditure.",null,"Evolution in household disposable income",null,"Eurostat (EU-SILC)",null,null,null,null,null,19,"Real growth in gross household disposable income (GHDI).\nReal GDHI is calculated as nominal GDHI divided by the deflator of household final consumption expenditure.","c","SPC - SPPM (DG EMPL)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A, D, E","Consolidated",354,"At risk of poverty or social exclusion rate",null,null,null,null,null,null,null,null,null,null,19,"The sum of persons who are: \na) at-risk-of- poverty (cut-off point: 60% of mean equivalised income) or \nb) severely materially deprived (population living in households lacking at least 4 items out of the following 9 items: i) to pay rent or utility bills, ii) keep home adequately warm, iii) face unexpected expenses, iv) eat meat, fish or a protein equivalent every second day, v) a week holiday away from home, or could not afford (even if wanted to) vi) a car, vii) a washing machine, viii) a colour TV, or ix) a telephone) or \nc) living in households with very low work intensity (work less than 20% of their total work potential) as a share of the total population.","s","Consolidated",10,1,0,0,0,0,0,4,0,2,3,0,1,0,0,5,0,0,0,0,0,0,1,2,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0]
["A","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",354,"Population below poverty line","3) Population at risk of poverty: the share of persons with an income below the poverty line.","1) Percentage of persons in the total population with an equivalised disposable income below the\n“national poverty line” (i.e. below 60% of the national median equivalised disposable income). Total\npopulation is all persons living in private household on the national territory. Total disposable income\nof a household is calculated by adding together the personal income received by all of the household\nmembers, plus income received at household level. Disposable household income includes all income\nfrom work, private income from investment en property, transfers between households and all social\ntransfers received in cash including old-age pensions (see remarks for more detailed definition). Personal\nequivalised income is obtained by dividing the total household disposable income by the equivalised\nsize of the household, using modified OECD scale: 1 for the first person aged 14 or more; 0.5 for any\nsubsequent person aged 14 or more; and 0.3 for persons aged less then 14.","Important indicator for social inclusion. Economic deprivation can have a negative effect on health and wellbeing. Children are especially vulnerable.","Percentage","Eurostat (EU-SILC)","gender, age","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=ilc_peps01&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/ilc_esms.htm","http://ec.europa.eu/health/indicators/docs/echi_9.pdf","9 (A)",19,"At risk of poverty rate (cut-off point: 60% of mean equivalised income), total population, by sex, by age-group (0-17, 18-64, 65+)","c","ECHI",null,1]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",354,"At-risk-of-poverty rate",null,null,"Material living conditions: Income",null,null,null,"http://ec.europa.eu/eurostat/product?mode=view&code=ilc_li02","http://ec.europa.eu/eurostat/cache/metadata/en/ilc_esms.htm",null,null,19,null,"c","Eurostat - Quality of Life",null,0,null,null,null,null,null,1]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",354,"At-risk-of-poverty rate anchored at a fixed moment in time (2008) ",null,null,"Material living conditions: Income",null,null,null,"http://ec.europa.eu/eurostat/product?mode=view&code=ilc_li22b","http://ec.europa.eu/eurostat/cache/metadata/en/ilc_esms.htm",null,null,19,null,"c","Eurostat - Quality of Life",null,0,null,null,null,null,null,1]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",354,"Severely materially deprived people",null,null,"Material living conditions: Material deprivation",null,null,null,"http://ec.europa.eu/eurostat/product?mode=view&code=t2020_53",null,null,null,19,null,"c","Eurostat - Quality of Life",null,0,null,null,null,null,null,1]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",354,"(In)ability to make ends meet",null,null,"Material living conditions: Material deprivation",null,null,null,"http://ec.europa.eu/eurostat/product?mode=view&code=ilc_mdes09",null,null,null,19,null,"c","Eurostat - Quality of Life",null,0,null,null,null,null,null,1]
["A","European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",354,"People at risk of poverty by country, disaggregated by gender and age, % of population",null,null,null,null,"Eurostat",null,null,null,null,23,19,null,"c","European Pillar of Social Rights",null,0,0,0,0,0,0,0,0,1]
["A","European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",354,"Differences between women and men (pp) in at-risk of poverty and/or social exclusion (AROPE) rate",null,null,"Older people are, at present, better protected against poverty. However, there remain clear differences between men and women across much of the EU. Women above age 65 face a substantially higher risk of poverty or social exclusion than their male counterparts. For the EU as a whole, gender differences in the incidence of poverty amount to more than four percentage points for women between age 65 and 74, and increases to over six percentage points above age 75",null,"Eurostat. Calculated as AROPE rate for women – AROPE rate for men (pps)",null,null,null,null,24,19,null,"c","European Pillar of Social Rights",null,0,0,0,0,0,0,0,0,1]
["A","European Commission (2011). Commission Staff Working Document on EU indicators in the field of youth. SEC(2011) 401 final.  Retrieved from http://ec.europa.eu/youth/library/publications/indicator-dashboard_en.pdf\nEuropean Commission (2015). Youth monitor - European Commission.   Retrieved from http://ec.europa.eu/youth/dashboard/index_en.htm",354,"At risk of poverty or social exclusion rate by children (<18y), young people (18-24) and the gap between total population","Share of children or young people who are at risk of poverty and/or severely materially deprived and/or living in a household with very low work intensity (see further definitions below).\nThe gap between children or young people and total population (in percentage points) who are at risk of poverty and/or severely materially deprived and/or living in a household with very low work intensity.",null,"Social inclusion",null,"Eurostat (EU-SILC)",null,null,null,null,null,19,null,"c","EU Youth Health 2015 (DG EAC)",null,0,0,0,0,0,0,0,0,0,1]
["A","European Commission (2011). Commission Staff Working Document on EU indicators in the field of youth. SEC(2011) 401 final.  Retrieved from http://ec.europa.eu/youth/library/publications/indicator-dashboard_en.pdf\nEuropean Commission (2015). Youth monitor - European Commission.   Retrieved from http://ec.europa.eu/youth/dashboard/index_en.htm",354,"At-risk-of-poverty rate for children (<18y) and gap between total population","The share of children (under age 18) living in families with an equivalised disposable income below 60 % of the national median equivalised disposable income (after social transfers). \nThe gap between children and total population (in percentage points) regarding living in families with an equivalised disposable income below 60 % of the national median equivalised disposable income (after social transfers).",null,"Social inclusion",null,"Eurostat (EU-SILC)",null,null,null,null,null,19,null,"c","EU Youth Health 2015 (DG EAC)",null,0,0,0,0,0,0,0,0,0,1]
["A","European Commission (2011). Commission Staff Working Document on EU indicators in the field of youth. SEC(2011) 401 final.  Retrieved from http://ec.europa.eu/youth/library/publications/indicator-dashboard_en.pdf\nEuropean Commission (2015). Youth monitor - European Commission.   Retrieved from http://ec.europa.eu/youth/dashboard/index_en.htm",354,"Severe Material deprivation rate by children (<18y), young people (18-24) and the gap between total population","percentage of the population that cannot afford at least four of the following nine items: 1) to pay their rent, mortgage or utility bills; 2) to keep their home adequately warm; 3) to face unexpected expenses; 4) to eat meat or proteins regularly; 5) to go on holiday; or cannot afford to buy a: 6) TV 7) Refrigerator, 8) Car, 9) Telephone.",null,"Social inclusion",null,"Eurostat (EU-SILC)",null,null,null,null,null,19,null,"c","EU Youth Health 2015 (DG EAC)",null,0,0,0,0,0,0,0,0,0,1]
["A","EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",354,"At risk of poverty or social exclusion rate","The sum of persons who are: at-risk-of- poverty or severely materially deprived or living in households with very low work intensity as a share of the total population.",null,null,null,"Eurostat (EU-SILC)","gender (for people above 18); age - 0-17 (0-5; 6-11; 12-17), 18-64, 65+",null,null,null,"S-2",19,null,"c","JAF Health (DG EMPL)",null,0,0,0,0,0,0,0,0,0,0,0,1]
["A","EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",354,"At risk of poverty or social exclusion rate","The sum of persons who are: at-risk-of- poverty or severely materially deprived or living in households with very low work intensity as a share of the total population.",null,"Europe 2020 headline indicator",null,"Eurostat (EU-SILC)","gender (for people above 18); age - 0-17 (0-5; 6-11; 12-17), 18-64, 65+","http://nui.epp.eurostat.ec.europa.eu/nui/show.do?dataset=ilc_peps01&lang=en","http://ec.europa.eu/europe2020/index_en.htm",null,null,19,"At risk of poverty rate (cut-off point: 60% of mean equivalised income), total population, by sex, by age-group (0-17, 18-64, 65+)","c","SPC - SPPM (DG EMPL)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",354,"At risk of poverty or social exclusion rate for the elderly (65+), in %","The sum of elderly (65+) who are: at-risk-of-poverty or severely materially deprived or living in (quasi-)jobless households (i.e. with very low work intensity) as a share of the total population in the same age group.",null,null,null,"Eurostat (EU-SILC)",null,null,null,null,null,19,null,"c","SPC - SPPM (DG EMPL)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",354,"At-risk-of poverty rate + illustrative threshold values","Share of persons aged 0+ with an equivalised disposable income below 60% of the national equivalised median income.\nEquivalised median income is defined as the household's total disposable income divided by its \"equivalent size\", to take account of the size and composition of the household, and is attributed to each household member. Equivalization is made on the basis of the OECD modified scale.",null,"In the European Council of Ministers of 1975, the poor are defined as ‘individuals whose resources are so small as to exclude them from the minimal acceptable way of life of the Member State in which they live’. While this notion is multidimensional, a lack of financial resources is an important dimension of poverty. The at-risk-of-poverty rate indicates the share of the population with a relative low income. This low income will most likely hamper their capacity to fully participate in social life of the Member State where they reside.",null,"Eurostat (EU-SILC)","gender (for people above 18); age - 0-17 (0-5; 6-11; 12-17), 18-64, 65+",null,null,null,null,19,"Share of persons aged 0+ with an equivalised disposable income below 60% of the national equivalised median income.\nEquivalised median income is defined as the household's total disposable income divided by its \"equivalent size\", to take account of the size and composition of the household, and is attributed to each household member. Equivalization is made on the basis of the OECD modified scale.","c","SPC - SPPM (DG EMPL)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",354,"Children at risk of poverty and social exclusion (in %)","The sum of children (0-17) who are: at-risk-of-poverty or severely materially deprived or living in (quasi-)jobless households (i.e. households with very low work intensity (below 20%) as a share of the total population.",null,null,null,"Eurostat (EU-SILC)",null,null,null,null,null,19,null,"c","SPC - SPPM (DG EMPL)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",354,"Severe material deprivation rate","Share of population living in households lacking at least 4 items out of the following 9 items: i) to pay rent or utility bills, ii) keep home adequately warm, iii) face unexpected expenses, iv) eat meat, fish or a protein equivalent every second day, v) a week holiday away from home, or could not afford (even if wanted to) vi) a car, vii) a washing machine, viii) a colour TV, or ix) a telephone.",null,"Whereas the at-risk-of-poverty rate measures income to identify a lack of resources, the material deprivation rate focuses on the ability of households or individuals to afford certain items. The effect of low income might be offset by high savings, access to credit or other sources. By focusing on expenses, the material deprivation rate could take these factors into account. Moreover, by measuring deprivation using a threshold (4 items) of and a list of items that are common to all Member States, the material deprivation is more sensitive to differences in living standards across countries than the poverty risk rate with its nationally defined poverty threshold.",null,"Eurostat (EU-SILC)","gender ; age - 0-17(0-5; 6-11; 12-17), 18-64, 65+",null,null,null,null,19,"Share of population living in households lacking at least 4 items out of the following 9 items: i) to pay rent or utility bills, ii) keep home adequately warm, iii) face unexpected expenses, iv) eat meat, fish or a protein equivalent every second day, v) a week holiday away from home, or could not afford (even if wanted to) vi) a car, vii) a washing machine, viii) a colour TV, or ix) a telephone.","c","SPC - SPPM (DG EMPL)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",354,"Proportion of people with low income","There are numerous ways to measure low income. The method chosen for this indicator is to consider people living in households with an equivalised disposable household income (that is, after-tax income, adjusted for the number of people in the household) that is less than 50% of the national median. These data are presented as a percentage of all people.",null,null,null,null,null,null,null,null,null,19,null,"c","AIHW. (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",354,"Children Living in Low-Income Families",null,null,"Structural Factors Influencing Health",null,"·      Statistics Canada",null,null,null,null,null,19,null,"c","CIHI In Depth (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",354,"Household Food Insecurity",null,null,"Structural Factors Influencing Health",null,"·      Canadian Community Health Survey, Statistics Canada",null,null,null,null,null,19,null,"c","CIHI In Depth (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["D","IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",354,"Healthy communities: Childhood poverty rate",null,null,null,null,null,null,null,null,null,"nA",19,null,"c","IOM 2015",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",354,"At risk of poverty or social exclusion","At risk of poverty refers to the share of persons with an income below the poverty line. Income inequality is defined by the ratio of total income received by 20% of the country’s population with the highest income to that received by 20% of the country’s population with the lowest income","Population at risk of poverty: Percentage of persons in the total population with an equivalised disposable income below the “national poverty line” (i.e. below 60% of the national median equivalised disposable income). Total population is all persons living in private household on the national territory. Total disposable income of a household is calculated by adding together the personal income received by all of the household members, plus income received at household level. Disposable household income includes all income from work, private income from investment and property, transfers between households and all social transfers received in cash including old-age pensions. Personal equivalised income is obtained by dividing the total household disposable income by the equivalised size of the household, using modified OECD scale: 1 for the first person aged 14 or more; 0.5 for any subsequent person aged 14 or more; and 0.3 for persons aged less then 14. Income inequality is calculated as the ratio of the sum of equivalised disposable income received by the 20% of the country’s population with the highest equivalised disposable income (top inter-quintile interval) to that received by the 20% of the country’s population with the lowest equivalised disposable income (lowest inter-quintile interval)",null,null,null,null,null,null,null,56,19,null,"c","Malta - Grech et al. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A, E","Consolidated",355,"GINI coefficient (income distribution)",null,null,null,null,null,null,null,null,null,null,19,"Gini index measures the extent to which the distribution of income (or, in some cases, consumption expenditure) among individuals or households within an economy deviates from a perfectly equal distribution. A Lorenz curve plots the cumulative percentages of total income received against the cumulative number of recipients, starting with the poorest individual or household. The Gini index measures the area between the Lorenz curve and a hypothetical line of absolute equality, expressed as a percentage of the maximum area under the line. Thus a Gini index of 0 represents perfect equality, while an index of 100 implies perfect inequality.","s","Consolidated",4,0,0,0,0,0,0,0,0,3,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",355,"Gini Index: Long term trends in income inequalities","(mid-1980s to 2013 or latest available) (",null,null,null,"OECD (2015)",null,null,null,null,13,19,null,"c","European Pillar of Social Rights",null,0,0,0,0,0,0,0,0,1]
["A","European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",355,"Disposable household income, level of inequality, 2005-2014 (Gini coefficient)",null,null,null,null,"Eurostat",null,null,null,null,22,19,null,"c","European Pillar of Social Rights",null,0,0,0,0,0,0,0,0,1]
["A","European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",355,"Market income versus disposable household income, level of inequality, selected EU Member States, 2012 (Gini index)","check definition",null,"The impact of social policy on inequality can be illustrated by comparing market income inequalities with inequalities of disposable income after transfers. The comparison shows the role of tax and trans-fer systems in reducing market income inequality.",null,"Eurostat, European Commission (2015), ESDE 2014; Note: Income data are not available for all EU Member States",null,null,null,null,21,19,null,"c","European Pillar of Social Rights",null,0,0,0,0,0,0,0,0,1]
["A","EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",355,"GINI coefficient",null,null,null,null,null,null,null,null,null,"nA",19,null,"c","EXPH 2014",null,0,0,0,0,0,0,0,0,0,0,1]
["C","WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",355,"GINI coefficient (income distribution)",null,null,null,null,"World Bank and Eurostat (World Bank 22; EU-SILC 26; total 40)",null,null,null,null,12,19,null,"c","WHO Health 2020",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["E","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",355,"Income distribution in population (GINI coefficient)","The Gini index measures the degree of inequality in the distribution of the income in a country. The index is calculated from the Lorenz curve, in which cumulative income is plotted against the cumulative number of individuals arranged from the poorest to the richest. The i ndex is the ratio of (a) the area between a country's Lorenz curve and the 45 degree line to (b) the entire triangular area under t he 45 degree line. The more nearly equal a country's income distribution, the closer its Lorenz curve to the 45 degree line and the lower its Gini i ndex. The more unequal a country's income distribution, the farther its Lorenz curve from the 45 degree line and the higher its Gini index. If incomes are distributed with perfect equality, the Lorenz curve coincides with the 45 degree line and the index is zero; if incomes are d istributed with perfect inequality, the Lorenz curve coincides with the horizontal a xis and the right vertical axis and the index is 100.",null,"There is a link between the way to redistribute the incomes (income inequality) in a country and some forms of objective heal th problems and the perceived health situation or status  (Braveman, 2003, Daniels, 2008, Deaton, 2003, Jackson, 2010, Rowlingson, 2011, Van Oyen H,  2010) ",null,null,null,null,null,null,"EQ-1",19,null,"c","Belgium - Vrijens et al. (2015)",null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
["E","Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",355,"Kakwani index",null,null,null,null,null,null,null,null,null,null,19,null,"e/nr","Hungary HSPA (2014)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","Consolidated",356,"Spending on social protection as % of GDP",null,null,null,null,null,null,null,null,null,null,19,"Structure of social protection expenditure old age and survivors, sickness/health care, family/children, disability, unemployment, administration costs, housing, social exclusion, other expenditure as % of GDP","s","Consolidated",2,0,0,0,0,0,0,0,0,4,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",356,"Spending on social protection, EU-28, % of GDP, 2013",null,null,null,null,"Eurostat",null,null,null,null,2,19,"Structure of social protection expenditure old age and survivors, sickness/health care, family/children, disability, unemployment, administration costs, housing, social exclusion, other expenditure as % of GDP","c","European Pillar of Social Rights",null,0,0,0,0,0,0,0,0,1]
["A","European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",356,"Structure of social protection expenditure, EU-28, % of total expenditure, 2012","old age and survivors, sickness/health care, family/children, disability, unemployment, administration costs, housing, social exclusion, other expenditure",null,null,null,"Eurostat",null,null,null,null,3,19,null,"c","European Pillar of Social Rights",null,0,0,0,0,0,0,0,0,1]
["A","European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",356,"Overall social protection expenditure, real growth trends in the EU,",null,null,null,null,"European Commission (2016), Employment and Social Developments Report 2015",null,null,null,null,4,19,null,"c","European Pillar of Social Rights",null,0,0,0,0,0,0,0,0,1]
["A","European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",356,"Social protection expenditure (% of GDP) and reduction of inequality and poverty (in %)",null,null,null,null,"Eurostat, ESSPROS and EU-SILC, DG EMPL calculations",null,null,null,null,25,19,null,"c","European Pillar of Social Rights",null,0,0,0,0,0,0,0,0,1]
["A","EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",356,"Costs of social protection (payments for sick, injured, prematurely retired, etc.)",null,null,null,null,999,null,null,null,null,"nA",19,"nA","c","EXPH 2014",null,0,0,0,0,0,0,0,0,0,0,1]
["A","Consolidated",357,"Trust in, and satisfaction with, institutions and public services",null,null,null,null,null,null,null,null,null,null,19,"trust in, and satisfaction with, institutions (under development in SILC 2013) and public services (to be developed)","s","Consolidated",1,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",357,"Average rating of trust in institutions: Legal system",null,null,"Governance and basic rights: Institutions and public services - Trust and/or satisfaction in institutions",null,null,null,"http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-516020_QID_2185C53_UID_-3F171EB0&layout=INDIC_WB,L,X,0;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-516020SEX,T;DS-516020TIME,2013;DS-516020INDICATORS,OBS_FLAG;DS-516020ISCED97,TOTAL;DS-516020UNIT,RTG;DS-516020AGE,Y_GE16;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=true&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23",null,null,null,19,null,"c","Eurostat - Quality of Life",null,0,null,null,null,null,null,1]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",357,"Average rating of trust in institutions: Police",null,null,"Governance and basic rights: Institutions and public services - Trust and/or satisfaction in institutions",null,null,null,"http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-516020_QID_2C3047BA_UID_-3F171EB0&layout=INDIC_WB,L,X,0;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-516020SEX,T;DS-516020TIME,2013;DS-516020INDICATORS,OBS_FLAG;DS-516020ISCED97,TOTAL;DS-516020UNIT,RTG;DS-516020AGE,Y_GE16;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=true&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23",null,null,null,19,null,"c","Eurostat - Quality of Life",null,0,null,null,null,null,null,1]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",357,"Average rating of trust in institutions: Political system",null,null,"Governance and basic rights: Institutions and public services - Trust and/or satisfaction in institutions",null,null,null,"http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-516020_QID_36B03110_UID_-3F171EB0&layout=INDIC_WB,L,X,0;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-516020SEX,T;DS-516020TIME,2013;DS-516020INDICATORS,OBS_FLAG;DS-516020ISCED97,TOTAL;DS-516020UNIT,RTG;DS-516020AGE,Y_GE16;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=true&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23",null,null,null,19,null,"c","Eurostat - Quality of Life",null,0,null,null,null,null,null,1]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",357,"Satisfaction with public services (to be developed)",null,null,"Governance and basic rights: Institutions and public services - Trust and/or satisfaction in public services",null,null,null,"nA",null,null,null,19,null,"c","Eurostat - Quality of Life",null,0,null,null,null,null,null,1]
["A, E","Consolidated",358,"Social interactions: Social cohesion",null,null,null,null,null,null,null,null,null,null,19,"Social cohesion (covering interpersonal trust, perceived tensions and inequalities) will be measured using an indicator for trust in others (collected in SILC 2013, will be available in 2015). ","s","Consolidated",3,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0]
["A","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",358,"Average rating of trust in others",null,null,"Social interactions - Social cohesion",null,null,null,"http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-516020_QID_8819B38_UID_-3F171EB0&layout=INDIC_WB,L,X,0;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-516020SEX,T;DS-516020TIME,2013;DS-516020INDICATORS,OBS_FLAG;DS-516020ISCED97,TOTAL;DS-516020UNIT,RTG;DS-516020AGE,Y_GE16;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=true&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23",null,null,null,19,null,"c","Eurostat - Quality of Life",null,0,null,null,null,null,null,1]
["A","EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",358,"Economic impact - social cohesion",null,null,null,null,"Eurobarometer",null,null,null,null,"nA",19,null,"c","EXPH 2014",null,0,0,0,0,0,0,0,0,0,0,1]
["E","Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",358,"Lack of trust in others","Individuals who stated that they generally cannot trust people, 16–84 years old.",null,"Safety and social relationships",null,null,null,null,null,null,28,19,null,"c","Sweden - Socialstyrelsen. (2015)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",null,"Structure of taxes","fiscal/social security contributions (%total;  %labour; %capital; %consumption in relation with GDP)",null,null,null,"Eurostat. Taxation trends in the European Union, 2013.",null,null,null,null,"nA",19,"fiscal/social security contributions (%total;  %labour; %capital; %consumption in relation with GDP)","nr/e","EXPH 2014",null,0,0,0,0,0,0,0,0,0,0,1]
["A","EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",null,"Tax fraud, tax evasion, tax avoidance (% in relation with GDP)",null,null,null,null,null,null,null,null,null,"nA",19,"nA","nr/e","EXPH 2014",null,0,0,0,0,0,0,0,0,0,0,1]
["C","WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",359,"National and/or subnational policy addressing the reduction of health inequities established and documented","Existence of policies and strategies to address health inequalities and social determinants of health: \nA specific aim of the indicator is to capture whether health inequities and social determinants of health are addressed in one form or another, in accordance with the strategic goals of Health 2020. Replies options: i) Yes, stand-alone, ii) Yes, included elsewhere, iii) No. \nElements in national policies to address health inequities and social determinants of health: Since there are multiple approaches or measures to address health inequities or social determinants of health, another aspect in the assessment included the various elements existing in the national health policies and strategies to deal with them, i.e. Healthy workplace, Healthy start in life, Poverty, Environment, Disadvantaged groups, Universal health coverage, Human rights, Others. ",null,null,null,"Direct reporting by Member States through the annual report of the WHO Regional Director for Europe",null,null,null,null,11,20,"Existence of policies and strategies to address health inequalities and social determinants of health: \nA specific aim of the indicator is to capture whether health inequities and social determinants of health are addressed in one form or another, in accordance with the strategic goals of Health 2020. Replies options: i) Yes, stand-alone, ii) Yes, included elsewhere, iii) No. \nElements in national policies to address health inequities and social determinants of health: Since there are multiple approaches or measures to address health inequities or social determinants of health, another aspect in the assessment included the various elements existing in the national health policies and strategies to deal with them, i.e. Healthy workplace, Healthy start in life, Poverty, Environment, Disadvantaged groups, Universal health coverage, Human rights, Others. ","s","WHO Health 2020",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["C","WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",360,"Establishment of process for target-setting documented (mode of documenting to be decided by individual Member States)","Existence of national or subnational processes of target - setting for health and well-being.\nAn aim of the Health 2020 regional monitoring is to determine how countries have progressed towards establishing national goals, targets and specific indicators to monitor their advance in achieving the Health 2020 vision. Response options to this questions are: i) Targets defined, ii) Indicators defined, iii) Not but planned for the future, iv) Not and not planned for the future. ",null,null,null,"Direct reporting by Member States through the annual report of the WHO Regional Director for Europe","nA","http://portal.euro.who.int/en/indicators/h2020-indicators/h2020_31-national-target-setting/",null,null,"(18) 6.1.a",20,"Existence of national or subnational processes of target - setting for health and well-being.\nAn aim of the Health 2020 regional monitoring is to determine how countries have progressed towards establishing national goals, targets and specific indicators to monitor their advance in achieving the Health 2020 vision. Response options to this questions are: i) Targets defined, ii) Indicators defined, iii) Not but planned for the future, iv) Not and not planned for the future. ","s","WHO Health 2020",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["C","WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",361,"Evidence documenting: (a) establishment of national policies aligned with Health 2020; (b) implementation plan; (c) accountability mechanism (mode of ‘documentation’ to be decided by individual Member States)","As Member States in the WHO European Region develop policies and strategies to improve health and well-being, it is important to know whether these national policies are aligned with the Health 2020 vision. The alignment means having a comprehensive national health policy or another strategy, including improving universal health coverage, reducing the major causes of the burden of disease, addressing major health determinants of health and well-being and strengthening health systems.",null,null,null,"Direct reporting by Member States through the annual report of the WHO Regional Director for Europe","nA",null,null,null,19,20,"As Member States in the WHO European Region develop policies and strategies to improve health and well-being, it is important to know whether these national policies are aligned with the Health 2020 vision. The alignment means having a comprehensive national health policy or another strategy, including improving universal health coverage, reducing the major causes of the burden of disease, addressing major health determinants of health and well-being and strengthening health systems.","s","WHO Health 2020",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
["E","World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",null,"Policy analysis and interviews with policy-makers and health system stakeholders","nA",null,"Non-financial sustainability: Are health information resources sufficient to enable evidence-based policy-making and health system planning?",null,null,null,null,null,null,null,20,"nA","c","Portugal HSPA (2010)",null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
["A","EC, Europe 2020 (2015) European Semester Thematic Fiche: Health and Health Systems, from http://ec.europa.eu/europe2020/pdf/themes/2015/health-and-health-systems.pdf",null,"Fiscal sustainability indicators and contributions from health and long-term care, medium term sustainability indicator (S1)","The S1 indicator is defined as the constant annual improvement in the ratio of structural primary balance to GDP, from year t_0 + 1 up to year t_1, that is required to bring the debt ratio to a given level by year t_2. In addition to accounting for the need to adjust the initial intertemporal budgetary position and the debt level, it incorporates financing for any additional expenditure until the target date arising from an ageing population.",null,null,null,null,null,null,null,null,"nA",20,"The S1 indicator is defined as the constant annual improvement in the ratio of structural primary balance to GDP, from year t_0 + 1 up to year t_1, that is required to bring the debt ratio to a given level by year t_2. In addition to accounting for the need to adjust the initial intertemporal budgetary position and the debt level, it incorporates financing for any additional expenditure until the target date arising from an ageing population.","nr/e","EU Semester thematic fiche Health 2015 (DG-ECFIN)",null,0,null,null,null,1]
["A","EC, Europe 2020 (2015) European Semester Thematic Fiche: Health and Health Systems, from http://ec.europa.eu/europe2020/pdf/themes/2015/health-and-health-systems.pdf",null,"Fiscal sustainability indicators and contributions from health and long-term care, long-term sustainability indicator (S2)","In contrast to S1 indicator, the S2 indicator is defined as an immediate and permanent one-off fiscal adjustment that ensures that the intertemporal government budget constraint (IBC) is met. This indicator is appropriate for assessing long-term fiscal sustainability in the face of ageing costs. Note that the derivation of S2 does not assume that either the initial sequence of primary balances or the fixed annual incrase (S2) are optimal according to some criterion. S2 should be considered as a benchmark and not as a policy recommendation or as a measure of the actual adjustment needed in any particular year. ",null,null,null,null,null,null,null,null,"nA",20,"In contrast to S1 indicator, the S2 indicator is defined as an immediate and permanent one-off fiscal adjustment that ensures that the intertemporal government budget constraint (IBC) is met. This indicator is appropriate for assessing long-term fiscal sustainability in the face of ageing costs. Note that the derivation of S2 does not assume that either the initial sequence of primary balances or the fixed annual incrase (S2) are optimal according to some criterion. S2 should be considered as a benchmark and not as a policy recommendation or as a measure of the actual adjustment needed in any particular year. ","nr/e","EU Semester thematic fiche Health 2015 (DG-ECFIN)",null,0,null,null,null,1]
["A","ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",null,"Risk Adjuster: Elixhauser's comorbidities (EC)","ECHO uses the well-known Elixhauser method to classify comorbidities. Using administrative data, this approach allows risk-adjustment for up to 30 comorbidities. Depending on the indicator of interest, all or some of those 30 conditions can be used without jeopardizing validity. ECHO has used tailored modelling for each hospital-specific indicator"," AIDS/HIV\n\nAlcohol abuse\n\nDeficiency anemia\n\nCardiac arrhythmias\n\nRheumatoid arthritis/collagen vascular diseases\n\nBlood loss anemia\n\nCongestive heart failure\n\nChronic lung disease\n\nCoagulopathy\n\nDepression\n\nDiabetes, without chronic complications\n\nDiabetes, with chronic complication\n\nDrugs abuse\n\nHypertension, uncomplicated\n\nHypertension, complicated\n\nHypothyroidism\n\nLiver disease\n\nLymphoma\n\nFluid and electrolyte disorders\n\nMetastatic cancer\n\nOther neurological disorders\n\nObesity\n\nParalysis\n\nPeripheral vascular disorders\n\nPsychoses\n\nPulmonary circulation disorders\n\nRenal failure\n\nSolid tumor without metastasis\n\nPeptic ulcer disease excluding bleeding\n\nValvular disease\n\nWeight loss ",null,null,"http://www.echo-health.eu/handbook/RISK_ELIX.html",null,null,null,null,"RA1",20,"ECHO uses the well-known Elixhauser method to classify comorbidities. Using administrative data, this approach allows risk-adjustment for up to 30 comorbidities. Depending on the indicator of interest, all or some of those 30 conditions can be used without jeopardizing validity. ECHO has used tailored modelling for each hospital-specific indicator","nr/e","ECHO",null,0,1]
["A","ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",null,"Risk Adjuster: Cardiovascular Severity "," CABG risk adjustment variable. Procedure codes for implantation of heart and circulatory assist system(s)\n\nCABG risk adjustment variable. Procedure codes for major heart structure surgery. Includes repair of atrial and ventricular septa, revision of such procedures, cardiotomy and pericardiotomy, pericardiectomy and excision of lesion of heart\n\nCABG risk adjustment variable. Procedure codes for valvular surgery: includes open and closed valvuloplasty and replacement\n\nCABG, PTCA and ischaemic disease risk adjustment variable. Diagnosis codes for ST elevation myocardial infarction\n\nCABG, PTCA and ischaemic disease risk adjustment variable. Diagnosis codes for non-ST elevation myocardial infarction (subendocardial)",null,null,null,"http://www.echo-health.eu/handbook/RISK_CV.html",null,null,null,null,"RA2",20,"CABG risk adjustment variable. Procedure codes for implantation of heart and circulatory assist system(s)\n\nCABG risk adjustment variable. Procedure codes for major heart structure surgery. Includes repair of atrial and ventricular septa, revision of such procedures, cardiotomy and pericardiotomy, pericardiectomy and excision of lesion of heart\n\nCABG risk adjustment variable. Procedure codes for valvular surgery: includes open and closed valvuloplasty and replacement\n\nCABG, PTCA and ischaemic disease risk adjustment variable. Diagnosis codes for ST elevation myocardial infarction\n\nCABG, PTCA and ischaemic disease risk adjustment variable. Diagnosis codes for non-ST elevation myocardial infarction (subendocardial)","nr/e","ECHO",null,0,1]

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["Source key"]
["Key",null,"Full Reference"]
["A","A","European Commission"]
[null,1,"ECHI","EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm "]
[null,2,"ECHO","ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html"]
[null,3,"Eckfeldt et al. 2014 (DG-ECFIN)","Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occasional Papers (Vol. 201). Brussels: European Economy, from http://ec.europa.eu/economy_finance/publications/occasional_paper/2014/pdf/ocp201_en.pdf "]
[null,4,"ESIF for Health 2015","ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf"]
[null,5,"EU Semester thematic fiche Health 2015 (DG-ECFIN)","EC, Europe 2020 (2015) European Semester Thematic Fiche: Health and Health Systems, from http://ec.europa.eu/europe2020/pdf/themes/2015/health-and-health-systems.pdf"]
[null,6,"EuroHope","Häkkinen U, Iversen T, Peltola M, Rehnberg C, Seppälä T and On Behalf of the EuroHOPE Study Group (2015) Towards Explaining International Differences in Health Care Performance: Results of the EuroHOPE Project, Health Econ., doi: 10.1002/hec.3282.\nIversen T, Aas E, Rosenqvist G & Häkkinen U (2015) Comparative Analysis of Treatment Costs in EUROHOPE. Health Econ., 24: 5–22. doi: 10.1002/hec.3262. "]
[null,7,"Eurostat - Quality of Life","Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html"]
[null,8,"Eurostat - SDI","Eurostat (2015) Sustainable development indicators, from http://ec.europa.eu/eurostat/web/sdi/indicators "]
[null,9,"European Pillar of Social Rights (DG EMPL)","European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN"]
[null,41,"Europeristat","Euro-Peristat. (2012). Euro-Peristat project - Better statistics for better health for pregnant women and their babies.   Retrieved from http://www.europeristat.com/"]
[null,42,"EuroSafe","EuroSafe. (2016). European Association for Injury Prevention and Safety Promotion (EuroSafe).   Retrieved from http://www.eurosafe.eu.com/"]
[null,10,"EU Youth Health 2015 (DG EAC)","European Commission (2011). Commission Staff Working Document on EU indicators in the field of youth. SEC(2011) 401 final.  Retrieved from http://ec.europa.eu/youth/library/publications/indicator-dashboard_en.pdf\nEuropean Commission (2015). Youth monitor - European Commission.   Retrieved from http://ec.europa.eu/youth/dashboard/index_en.htm"]
[null,11,"EXPH 2014","EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014, from http://ec.europa.eu/health/expert_panel/opinions/docs/002_criteriaperformancehealthsystems_en.pdf ."]
[null,12,"JAF Health (DG EMPL)","EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015, from http://ec.europa.eu/social/BlobServlet?docId=13724&langId=en  "]
[null,13,"EC-MACELI 2014","European Commission (2014). Comparative efficiency of health systems, corrected for selected lifestyle factors. Retrieved from http://ec.europa.eu/health/systems_performance_assessment/docs/2015_maceli_report_en.pdf"]
[null,14,"Medeiros & Schwierz 2015 (DG-ECFIN)","Medeiros J & Schwierz C (2015) Efficiency estimates of health care systems - European Commission Economic Papers (Vol. 549). Brussels: European Economy, from http://ec.europa.eu/economy_finance/publications/economic_paper/2015/pdf/ecp549_en.pdf "]
[null,15,"SPC - SPPM (DG EMPL)","EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 "]
[null,16,"Smith et al. (2016)","Smith PC, Cylus J & Papanicolas I (forthcoming) Health system efficiency: measurement and policy. World Health Organization Regional Office for Europe. "]
[]
["B","B","OECD"]
[null,17,"Health at a Glance 2015","OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en"]
[null,18,"Joumard et al. 2010","Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing, from http://www.oecd.org/officialdocuments/publicdisplaydocumentpdf/?doclanguage=en&cote=eco/wkp(2010)25 "]
[null,19,"How's life? 2015","OECD (2015) How's Life? 2015: Measuring Well-being, OECD Publishing, Paris. DOI: http://dx.doi.org/10.1787/how_life-2015-en"]
[null,43,"Hofmarcher et al. (2007)","Hofmarcher, M. M., Oxley, H., & Rusticelli, E. (2007). Improved health system performance through better care coordination (DELSA/HEA/WD/HWP(2007)6). Retrieved from https://www.oecd.org/els/health-systems/39791610.pdf"]
[]
["C","C","WHO"]
[null,20,"WHO Health 2020","WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf"]
[null,21,"WHO Core Health 2015","World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf"]
[]
["D","D","Other initiatives"]
[null,22,"AIHW. (2014)","AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205\nAIHW. (2009). National Health Performance Framework (NHPF).   Retrieved from http://www.aihw.gov.au/WorkArea/DownloadAsset.aspx?id=6442472799"]
[null,23,"CIHI In Depth (2014)","CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014), http://yourhealthsystem.cihi.ca/hsp/indepth?lang=en"]
[null,24,"Commonwealth Fund (CWF)","K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf\nD. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf \n"]
[null,25,"EHCI 2015","Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf"]
[null,26,"Institute of Medicine (IOM) 2015","IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press, http://www.nap.edu/login.php?record_id=19402&page=http%3A%2F%2Fwww.nap.edu%2Fdownload%2F19402"]
[null,27,"MoH New Zealand 2016","Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17"]
[]
["E","E","Member States"]
[null,28,"Belgium - KCE (2016)","Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). https://kce.fgov.be/sites/default/files/page_documents/KCE_259C_performancereport2015.pdf"]
[null,29,"Estonia HSPA (2010)","WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1"]
[null,30,"Hungary HSPA (2014)","Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf"]
[null,31,"Ireland - NHQSR (2015)","Ann Roinn Sláinte Department of Health. (2015). NHQRS-National Healthcare Quality Reporting System - First annual report 2014. Retrieved from Dublin: http://health.gov.ie/wp-content/uploads/2015/03/NHQRS-Annual-Report-2014.pdf"]
[null,32,"Italy - PNE (2014)","National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#"]
[null,33,"Malta - Grech et al. (2015)","Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf"]
[null,34,"Netherlands - van den Berg et al. (2015)","van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline"]
[null,35,"Portugal HSPA (2010)","World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf"]
[null,36,"Sweden - Socialstyrelsen. (2013)","Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7"]
[null,37,"Sweden - Socialstyrelsen. (2015)","Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf"]
[null,38,"UK - Bevan et al. (2014)","Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf"]
[null,39,"UK - NHS (2016)","National Health Service - NHS. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017"]
[null,40,"UK - Berry (2015)","Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf"]

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[]
[null,null,null,null,null,null,"european Health System_Indicators inventory"]
[null,null,null,null,null,null,"Please cite as: \nPerić, N.; Hofmarcher, M.M.; Simon, J. (2017) european Health System_Indicators inentory, a product of BRIDGE Health Work Package 12, October 2017, Medical University of Vienna & HS&I."]
[]
[null,null,null,null,null,null,"© HealthSystemIntelligence & Medical University of Vienna 2017"]
[]
["All references grouped","Full reference","ID","Indicator reference code","Indicator name","Definition/Label","Calculation","Rationale","Unit","Data source of indicator","Decomposition/Disaggregation","Link to source","Link to Metadata"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",345,1,"Population by sex / age - ","a) Total population by country, broken down by sex and age.\nb) Old-age-dependency ratio.","a) The number of usual resident inhabitants of a given area on 1 January of the year in question (absolute\nnumbers).\nb) The ratio between the total number of elderly persons of an age when they are generally economically\ninactive (aged 65 and over) and the number of persons of working age (from 15 to 64).","Basic demographic data are important by itself and are required for the calculation of many of the other\nindicators (denominator for rates and ratios). Age structure is also essential for public health planning and\nscenarios.","Absolute numbers","Eurostat","a) \n• Calendar year\n• Country\n• Region (according to ISARE recommendations)\n• Sex\n• Age group (0-14, 15-24, 25-49, 50-64, 65-79 and 80+).\nb)\n• Calendar year\n• Country","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=demo_pjangroup&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/demo_pop_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",227,1,"Old-age-dependency ratio","a) Total population by country, broken down by sex and age.\nb) Old-age-dependency ratio.","a) The number of usual resident inhabitants of a given area on 1 January of the year in question (absolute\nnumbers).\nb) The ratio between the total number of elderly persons of an age when they are generally economically\ninactive (aged 65 and over) and the number of persons of working age (from 15 to 64).","Basic demographic data are important by itself and are required for the calculation of many of the other\nindicators (denominator for rates and ratios). Age structure is also essential for public health planning and\nscenarios.","Absolute numbers","Eurostat","a) \n• Calendar year\n• Country\n• Region (according to ISARE recommendations)\n• Sex\n• Age group (0-14, 15-24, 25-49, 50-64, 65-79 and 80+).\nb)\n• Calendar year\n• Country","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=demo_pjangroup&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/demo_pop_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",346,2,"Birth rate, crude","The ratio of the number of births during the year to the average population in that year. The value is expressed per 1000 inhabitants.","The crude Birth Rate is calculated as the number of resident live births in a country during a calendar year\ndivided by the average population for the country multiplied by 1000. The average population during\na calendar year is generally calculated as the arithmetic mean of the population on 1 January of two\nconsecutive years (it is also referred to as the mean population).","Basic demographic data. An indicator needed for calculating population growth (together with crude\nmortality rate).","Values","Eurostat","• Calendar year\n• Country\n• Region (according to ISARE recommendations)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=demo_gind&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/demo_gind_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",348,3,"Mother’s age distribution","Distribution of live births by mother’s age at last birthday","Percentage of live births in mothers younger than 20 years, and percentage of live births in mothers of\n35 years of age and older.","Both early and late childbearing are associated with higher than average rates of preterm birth, growth\nrestriction and mortality in the perinatal period.","Percentage","Eurostat","• Calendar year\n• Country\n• Region (according to ISARE recommendations).\n• Socio-economic status (educational level. ISCED 3 aggregated groups: 0-2; 3+4; 5+6), only relevant for\nmothers aged 35 and over.","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=demo_fagec&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/demo_fer_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",347,4,"Total fertility rate","The mean number of children that would be born alive to a woman during her lifetime if she were to pass through her childbearing years conforming to the fertility rates by age of a given year.","Total fertility rate is computed as the mean number of children that would be born alive to a woman during\nher lifetime if she were to pass through her childbearing years (generally defined as 15-49) conforming to the\nfertility rates by age of a given year. It is computed by adding the fertility rates by age for women in a given\nyear (the number of women at each age is assumed to be the same, i.e. mortality is assumed to be zero during\nthe child-bearing period).","Basic demographic data. The total fertility rate is the completed fertility of a hypothetical generation and is\nalso used to indicate the replacement level fertility, i.e. the fertility needed to compensate mortality loss. In more developed countries, a rate of 2.1 is considered to be replacement level.","Rate","Eurostat","• Calendar year\n• Country\n• Region (according to ISARE recommendations)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=demo_find&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/demo_fer_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",345,5,"Population projections","Population projections are what-if scenarios that aim to provide information about the likely future size and structure of the population based on assumptions for fertility, mortality and migration. Population projections expressed in absolute numbers.","The EUROPOP2010 “convergence scenario” is used. This is based on the population on 1st January\n2010, and the assumptions have been developed in a conceptual framework where the socio-economic and\ncultural differences between EU Member States would fade away in the long run. This assumption implies\na convergence of the most important demographic values. For example, in the (hypothetical) convergence\nyear 2150, fertility is assumed to converge to levels achieved by MSs that are considered to be forerunners\nin the demographic transition. Life expectancy increases are assumed to be greater for countries at lower\nlevels of life expectancy and smaller for those at higher levels. Migration is assumed to converge to zero net\nmigration in 2150. These assumptions can be summarised by means of indicators such as total fertility rate,\nlife expectancy at birth and net international migration for the target year 2060.","Basic demographic data by itself: population projections are predictive measures which implicate that if the\nhypothetical projection calculation premises are correct, what projected population size and age structure\nwould result in any future year. The current scenario is primarily used in the context of the European\nCommission’s analysis of the impact of ageing populations on public spending.","Absolute numbers","Eurostat","• Calendar year (from 2010 up to and including 2060)\n• Country\n• Region (according to ISARE recommendations)\n• Sex\n• Age group (0-24, 25-64, 65+)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=proj_13npms&lang=en","http://epp.eurostat.ec.europa.eu/cache/ITY_SDDS/EN/proj_13n_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",329,6,"Population by education","Proportion (%) of population divided up into three classes of educational attainment (low, middle and high education). Attainment profiles are based on highest completed specified level of education.","Percentage of total population in the 7 classes of ISCED (International Standard Classification of Education\n1997), aggregated into three attainment groups comprising of: elementary and lower secondary education\n(ISCED level 0 ,1 and 2), upper/post secondary (ISCED levels 3 and 4) and tertiary (ISCED levels 5 and 6)\n(see remarks).","Together with occupation and income, education belongs to the classic three core indicators of socioeconomic\nstatus. The different indicators emphasise the different dimensions of SES. Apart from being an\nimportant indicator for describing the general social condition of the population by itself, stratification\nschemes based on the indicator provide an important tool for monitoring socio-economic inequalities in\nhealth.","n/a","Eurostat (LFS)","• Calendar year\n• Country\n• Region (according to ISARE recommendations; see data availability)\n• Sex\n• Age group (25-64)","n/a","n/a"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",350,7,"Population by occupation","Proportion (%) of population by occupational group. Classification is based on the current or last (main) occupation.","According to European Socio-economic Classification (ESeC) project recommendations; 9 occupational\nclasses (and one class for never worked/long-term unemployed), based on ISCO classification and additional\ninformation on: 1) status (self-employed/employees), 2) organization size for employers (less than 10/10\nemployees or more), 3) hierarchical position for employee (supervisor or ordinary employee). The 9 classes\nare to be aggregated into 5 groups: ESeC classes 1+2, 3+6, 4+5, 7, and 8+9.","Next to stratification schemes based on educational level and income, occupation-based social class schemes provide an important tool for monitoring socio-economic inequalities in health.","n/a","Eurostat (LFS)","• Calendar year\n• Country\n• Region (according to ISARE recommendations)\n• Sex\n• Age group (25-64)","n/a","n/a"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",351,8,"Total unemployment","1) Proportion (%) of unemployed persons aged 15-74 in the labour force.\n2) Proportion (%) of long-term unemployed persons aged 15-74 in the labour force.","1) The (annual average) number of unemployed people aged 15-74 years who where without work, were\ncurrently available for work and were either actively seeking work in the past four weeks or had already\nfound a job to start with within the next two weeks, as a proportion of the labour force (unemployed\nand employed persons aged 15 to 74 ). Annual averages are calculated based on four reference weeks,\neach for one quarter of the year.\n2) The (annual average) number of long-term unemployed people (persons who have been unemployed\nfor one year or more) aged 15-74 years as a proportion of the labour force (unemployed and employed\npersons 15 to 74 years of age). Annual averages are calculated based on using four reference weeks, each\nfor one quarter of the year.","Important indicator from the view of socio-economic differences in health. Besides other special risks,\nunemployment is tied up with poverty. Especially long-term unemployment itself has detrimental health\neffects.","Rate","Eurostat (LFS)","• Calendar year\n• Country\n• Region (according to ISARE recommendations; see data availability)\n• Sex\n• Age group (15-24)","http://ec.europa.eu/eurostat/web/lfs/data/database","http://ec.europa.eu/eurostat/cache/metadata/en/une_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",250,11,"Infant mortality","The number of deaths of infants (younger than one year of age at death) per 1000 live births (based on one year data).","Number of deaths under one year of age (aged 0-364 days) in a given year, per 1000 live births in that year.","“Basic indicator for population health and quality of health care services, infant mortality is highly correlated\nto countries’ level of development. An important part of the infant mortality rate measures the consequences of perinatal events (low birth weight, prematurity) or birth defects. Moreover, infant mortality comprises the deaths in the post-neonatal period; those include accidents and infections, Sudden Infant Death Syndrome (SIDS) and lack of the essentials of life (adequate food, water, maternal care). Those post-neonatal deaths are often preventable and are highly influenced by social factors. This indicator can thus serve as a measure of the quality of medical care, preventive services and health promotion interventions” (PERISTAT project).","Rate","Eurostat","region","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=demo_minfind&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/demo_mor_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",251,12,"Perinatal mortality","The number of early neonatal deaths after live birth plus fetal deaths in a given year, per 1000 live and stillbirths.","The number of fetal deaths and deaths in the early neonatal period (up to 6 completed days after birth) after live birth, expressed per 1000 live and stillbirths in the same year. For international comparisons, it is\nrecommended by the WHO that elements in both the nominator (fetal deaths and early neonatal deaths)\nand denominator (fetal deaths and live births) are restricted to fetuses and infants weighting 1000 grams or\nmore.","A sensitive measure of health in the perinatal period. Also important indicator for quality of perinatal health\ncare, and preventive care.","Rate","WHO-HFA","n/a","http://www.euro.who.int/en/data-and-evidence/databases/european-health-for-all-database-hfa-db","http://www.euro.who.int/en/data-and-evidence/databases/european-health-for-all-database-hfa-db"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",259,13,"Disease-specific mortality","Deaths caused by specific diseases or disease groups per 100,000 inhabitants for the following ICD-10 codes: Total (All Causes), Infectious & Parasitic Diseases, AIDS (HIV Disease), Malignant Neoplasms, Malignant Neoplasm of Stomach, Malignant Neoplasm of Colon, Malignant Neoplasm of Larynx & Trachea / Bronchus / Lung, Malignant Melanoma of Skin, Malignant Neoplasm of Breast, Malignant Neoplasm of Cervix, Malignant Neoplasm of Prostate, Malignant Neoplasm of Lymphatic / Haematopietic Tissue, All Childhood Cancers (Age 0-14 Years), Mental and Behavioural Disorders, Diseases of the Circulatory System, Ischaemic Heart Disease, Cerebrovascular Disease, Diseases of the Respiratory System, Chronic Lower Respiratory Diseases, Diseases of the Digestive System, External Causes of Injury & Poisoning, Accidents, Transport Accidents, Accidental Falls, Suicide & Intentional Self Harm, Homicide / Assault. ","Number of deaths per 100,000 inhabitants (age-standardized rates). The (age-)standardized death rate is a\nweighted average of age-specific mortality rates. The weighting factor is the age distribution of a standard\nreference population. Standardization is carried out through the direct method. The standard reference\npopulation used is the European standard population as defined by the World Health Organisation (WHO).\nThe annual average population available in Eurostat’s demography database is used to calculate the rates.","Data on causes of death provide information on mortality patterns and form a major element of public\nhealth information necessary for planning of prevention and health care, and for the evaluation of policies.","Per 100,000 inhabitants","Eurostat (exception: EURO-HIV (CISID database) for mortality due to AIDS)","• Calendar year\n• Country\n• Region (according to ISARE recommendations; see data availability)\n• Sex","http://ec.europa.eu/eurostat/web/health/causes-death/data/database","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_cdeath_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",265,14,"Drug-related deaths","Drug-related deaths per 100,000 population.","Drug-related deaths (also called for the purpose of the EMCDDA indicator ‘drug-induced deaths’ or\n‘overdoses’) are defined as deaths happening shortly after consumption of one or more illicit psychoactive\ndrugs, and directly related to this consumption.\nEMCDDA recomends that the definition is operationalised as follows:\n1) When information is extracted from General Mortality Registers, deaths are included when the\nunderlying cause of death is\n• mental and behavioural disorders due to psychoactive substance use or\n• poisoning (accidental, intentional or by undetermined intent), following the ICD-10 codes:\n-- Harmful use, dependence, and other mental and behavioural disorders due to: opioids (F11),\ncannabinoids (F12), cocaine (F14), other stimulants (F15), hallucinogens (F16), multiple drug use\n(F19).\n-- Accidental (X41, X42), intentional (X61, X62), or poisoning by undetermined intent (Y11, Y12)\nby: opium (T40.0), heroin (T40.1), other opioids (T40.2), methadone (T40.3), other synthetic\nnarcotics (T40.4), cocaine (T40.5), other and unspecified narcotics (T40.6), cannabis (T40.7),\nlysergide (T40.8), other and unspecified psychodysleptics (T40.9), psychostimulants (T43.6);\nPoisoning by unspecified drugs (X44, X64, Y14), if in combination with T codes T40.0-9 and\nT43.6.\nThis is called “selection B” of the EMCDDA standard definitions.\n2) 2When the information is extracted from Special Registries (usually based on medico-legal files) cases are\nincluded when the death is due to poisoning by accident, suicide, homicide, or undetermined intent by a\nset of illegal drugs of abuse. This is called “selection D” of the EMCDDA standard definitions.\n3) The few EU countries that cannot apply exactly the above standard procedure (“Selection B” or\n“Selection D”), they provide the data extracted either from their GMR or SR with ad-hoc procedures\n(“ad-hoc national definitions”) that are the closest approximations of selections B and D.\nEMCDDA presents national data (Table 2) with what is considered the best estimation in each country.\nIn most cases it is one of the standard definitions (either Selection B or Selection D). See remarks for more\ninformation.","Important group of premature and preventable deaths.","Absolute numbers","EMCDDA","sex, age, ","http://www.emcdda.europa.eu/data/stats2015","http://www.emcdda.europa.eu/data/stats2015"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",265,15,"Smoking-related deaths","Mortality caused by tobacco smoking. Death rates from combined, selected causes of death which are related to smoking, as per 100,000 of the population.","The smoking-attributable mortality (SAM) is to be calculated via the formula given below (Shultz et al.,\n1991) by using available mortality data and disease-specific relative mortality risks of current and former\nsmokers, each compared to never-smokers (reference group). RRs are obtained from the Cancer Prevention\nStudy II, which have been published and utilized in Schultz et. al. (1991) (see references). Finally, the\nrates of current, former and never-smokers are required. The formula provides the tobacco-attributable\nfraction (TAF) per cause of death, which is multiplied by the number of total deaths (per cause) to yield the\ntobacco-attributable mortality (TAM) per cause of death. The summed TAMs of all considered causes equal\nthe smoking-attributable mortality (SAM) and shall be expressed as per 100,000 of the population under\ninvestigation.","Smoking can cause many diseases which reduce both quality of life and life expectancy. Smoking is one of\nthe best preventable health risk behaviours.","n/a","Eurostat (EHIS) or national HIS for smoking prevalence; Eurostat for mortality data","sex, 8 age groups","n/a","n/a"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",265,16,"Alcohol-related deaths","Mortality caused by alcohol consumption. Number of premature deaths that may be attributed to alcohol\nconsumption in the population (Alcohol Atributable Deaths (AAD)) out of the total number of deaths*100)","The methodology described below is based on the methodology applied in the European ODHIN project,\nthough the selection of ICD codes is divergent; this is based on the deaths codes used by WHO for the\nGlobal Burden of Disease study (for reasons of comparability with other international data on alcohol\nattributable mortality).\nAlcohol Attributable Deaths (AAD) are defined as:\nAAD = AAF*D\nAADs = Sum AAD (all causes)\nwhere D is the number of deaths due to a specific cause or group of causes affected by the risk factor with\nrelative risk, in this case alcohol consumption. The AAF by age groups and gender has to be multiplied by\nthe total number of deaths per cause.\nAlcohol-attributable fractions (AAFs) are generally defined as the proportion of a disease in a population that\nwill disappear if alcohol is removed. AAFs are calculated by using the Alcohol-Attributable Fraction formula:\nAAF = [Σk\ni =1 Pi(RRi – 1)] / [Σ k\ni =0 Pi(RRi – 1) + 1]\nwhere i is the category of alcohol usage (i = 1-3) or no alcohol (i=0), RRi is the relative risk at exposure level\ni, compared with no alcohol consumption, Pi is the prevalence of the ith category of alcohol consumption,\nand k is the highest drinking category.\nRelative Risks of drinking exposure levels are available from several studies and will be used from selected\nsources (see references 1-3), and the overview of RRs to be used for the calculation of this indicator in annex 1.\nThe drinking categories required for the calculation of this indicator are: category i=1: females=(0.25-19.99\ng/day); males=(0.25- 39.99 g/day); category i=2: females=(20-39.99 g/day); males (40-59.99 g/day); category\ni=3: females=(40+ g/day); males=(60+ g/day).\nThere are diseases wholly attributable to alcohol (group 1 for which AAF=1), meaning that they would\nnot exist without it. Furthermore, alcohol is a contributory cause in a fair number of diseases partially\nattributable to alcohol (group 2) and unintentional and intentional injuries (group 3). The total number\nof Alcohol-attributable deaths is equal to AAD(group1)+ AAD(group2)+AAD(group3). See annex 2 for an\noverview of ICD codes to be used in the calculation of this indicator.","n/a","n/a","Eurostat (EHIS) or national HIS for data on alcohol use; Eurostat for mortality data","sex, 8 age groups","n/a","n/a"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",266,17,"Excess mortality by extreme temperatures (formerly 'by heat waves')","To be developed: Daily number of observed deaths and death rates (all cause) in a region during a heat wave or a period of extreme winter cold in relation to the expected number of deaths and death rate for the same calendar day.","to be developed","Extreme temperatures can induce excess mortality in the population. Excess mortality affects vulnerable\ngroups, particularly those who are old or ill. Important indicator in the frame of health effects of climate\nchange. In some countries winter excess mortality is a problem and in others excess mortality by heat waves. Therefore both excess mortality by heat waves and winter excess mortality are included.","n/a","n.a.","n/a","n/a","n/a"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",267,18,"Incidence of selected communicable diseases","Incidence of selected communicable diseases, per 100,000 population. (Campylobacteriosis, Chlamydia, E. Coli infections, Giardiasis, Hepatitis A, Hepatitis B, Invasive pneumococcal disease, Legionellosis, Listeriosis, Mumps, Salmonellosis, Yersiniosis)","Following ECDC methodology (see preferred source and remarks): The total number of confirmed new\ncases of the disease in a specific year divided by the population of the country in question in the same year,\nexpressed per 100 000 population (using Eurostat dataset ‘Population by sex and age on 1 January of each\nyear’ for the calculation of the rate). Incidence is calculated for the following communicable diseases (see\nremarks for rationale selection): 1. Chlamydia, 2. Giardiasis, 3. Campylobacteriosis, 4. Salmonellosis, 5.\nMumps, 6. Hepatitis A, 7. Invasive pneumococcal disease, 8. Hepatitis B, 9. Legionellosis, 10. Listeriosis,\n11. E. Coli infections (VTEC, STEC, EHEC), 12. Yersiniosis","Communicable diseases cause, or have the potential to cause, significant disease burden (morbidity and/or\nmortality). They are also diseases for which effective preventive measures are available with a protective health gain. Communicable diseases move across borders and therefore ask for sometimes rapid internationally based interventions.","Rate per 100,000 population","ECDC","age","http://ecdc.europa.eu/en/publications/surveillance_reports/Pages/index.aspx","http://ecdc.europa.eu/en/activities/surveillance/Pages/case_definitions.aspx"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",267,19,"Incidence of i) HIV-infected, ii) AIDS cases","Incidence of a) HIV-infected and b) AIDS cases, in a given calendar year, per 100,000 population.","The rates are calculated as the number of newly diagnosed cases per 100,000 population, based on the number of cases reported by national surveillance systems to the joint WHO-Euro/ECDC database for HIV/AIDS surveillance in The European Surveillance System (TESSy). A case of HIV infection and AIDS are defined following the European AIDS and HIV surveillance case definitions.","HIV remains one of the most important communicable diseases in Europe. It is an infection associated with\nserious morbidity, high costs of treatment and care, significant mortality and shortened life expectancy.","Rate","ECDC/WHO. HIV/AIDS surveillance in Europe 2014. ECDC, 2015","• Calendar year\n• Country\n• Sex\n• Age group (0-24, 25+)","http://ecdc.europa.eu/en/publications/Publications/hiv-aids-surveillance-in-Europe-2014.pdf","http://ecdc.europa.eu/en/publications/Publications/hiv-aids-surveillance-in-Europe-2014.pdf"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",280,20,"Cancer incidence","Total cancer incidence and incidence of the most important cancers, per 100,000 population, in a given year. (all cancers combined without non-melanoma skin cancer; trachea, bronchus and lung cancer; breast cancer; colorectal cancer; prostate cancer; stomach cancer; melanoma; cervix cancer; leukaemias and lymphomas; all childhood cancers)","Number of patients with newly diagnosed cancer during a given calendar year divided by person-years at\nrisk, expressed per 100,000 population. The age standardised incidence rate is calculated for the following\n10 cancer-groups: 1) all cancers combined without non-melanoma skin (ICD10 codes C00-C97),\n2) trachea, bronchus or lung (C33-34), 3) breast (C50), 4) colorectal (C18-C21), 5) prostate (C61) ,\n6) stomach (C16), 7) melanoma (C43), 8) cervical (C53), 9) leukaemias/lymphomas (C91-95), 10) all\nchildhood (0-14 years of age) cancers.","Cancer is one of the most important causes of death and it is related to a high disease burden in Europe and\nthere are (often) prevention possibilities. Therefore cancer monitoring is an important Public Health issue","n/a","Globocan","• Calendar year\n• Country\n• Region (according to ISARE recommendations; see data availability)\n• Sex (when appropriate)\n• Age group:\nfor age standardization data must be collected by 5 year age groups (see remarks for more information on age standardization method applied by preferred source)\nfor data presentations it is required to present the following age groups; 0-64, 65+","n/a","n/a"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",297,22,"Dementia/Alzheimer","Number of individuals aged 65+ that have been diagnosed with dementia. Expressed per 100,000 and as\npercentage of total population.","National best estimate of number of individuals aged 65+ that have ever been diagnosed with dementia\n(ICD-10 codes F00-F03, G30; including Alzheimer). Age standardization should be done for men and\nwomen separately, according to the direct method, using the 1976 WHO European population as standard\npopulation (this is the method applied for the Eurostat diagnosis-specific morbidity statistics; see references\n(document principles and guidelines in CIRCA)).","An increasingly important public health issue as the European populations are aging rapidly.\nDementia in older people is one of the most concerning issue worldwide and particularly in Europe.","Values","Alzheimer-Europe: EURODEM, EuroCoDe","• Country.\n• Calendar year.\n• Sex.\n• Age group:\n- for age standardization data must be collected by 5 year age groups (see calculation)\n- for data presentations it is required to present the following age groups; 65-84, 85+\n• Socio-economic status (see data availability).\n• Region (according to ISARE recommendations; see data availability)\n","http://www.alzheimer-europe.org/","http://www.alzheimer-europe.org/"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",283,24,"AMI","Attack rate of acute myocardial infarction (non-fatal and fatal) and coronary death per 100,000 population.","Age-standardized attack rate by sex in age group 35-74 in the population in a given calendar year, based\non combined hospital discharge (ICD-10 codes I21, I22) and mortality data (ICD-10 codes I20-I25)\n(EUROCISS project recommendation). Attack rate counts the first and recurrent events, whenever there\nis at least 28 days between the onsets of the events. Age standardization should be done for men and\nwomen separately, according to the direct method, using the 1976 WHO European population as standard\npopulation (this is the method applied for the Eurostat diagnosis-specific morbidity statistics; see references\n(document principles and guidelines in CIRCA)).","High-burden disease and cause of death. These diseases are preventable.","n/a","n.a., National data (registers, administrative sources)","• Calendar year\n• Country\n• Region (according to ISARE recommendations)\n• Sex\n• Age group:\n- for age standardization data must be collected by 5 year age groups for ages 35-74\n- for data presentations it is required to present the following age groups; 35-64, 65-74\n• Socio-economic status (see data availability)","n/a","n/a"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",284,25,"Stroke","Attack rate of stroke (non-fatal and fatal) per 100,000 population.","Age-standardized attack rate by sex in age group 35-84 in the population in a given calendar year,\nbased on combined hospital discharge and mortality data (ICD-10 codes I60-I64) (EUROCISS project\nrecommendation). Attack rate counts the first and recurrent events, whenever there is at least 28 days\nbetween the onsets of the events. Age standardization should be done for men and women separately,\naccording to the direct method, using the 1976 WHO European population as standard population (this\nis the method applied for the Eurostat diagnosis-specific morbidity statistics; see references (document\nprinciples and guidelines in CIRCA)).","High-burden disease and cause of death. These diseases are preventable.","n/a","n.a., National data (registers, administrative sources)","• Calendar year\n• Country\n• Region (according to ISARE recommendations)\n• Sex\n• Age group:\n- for age standardization data must be collected by 5 year age groups for ages 35-84\n- for data presentations it is required to present the following age groups; 35-64, 65-84\n• Socio-economic status (see data availability)","n/a","n/a"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",271,28,"(Low) birth weight","The proportion of live births of low birth weight per 100 live births in a given year.","Number of live births weighting less than 2500 grams in a given year, expressed as a percentage of total number of live births (of any birth weight).","Important indicator for pregnancy conditions and perinatal care. Low birth weight is associated with healthproblems later in life.","Percentage","WHO-HFA","• Calendar year\n• Country\n• Region (according to ISARE recommendations)\n• Age of mother.","http://www.euro.who.int/en/data-and-evidence/databases/european-health-for-all-database-hfa-db","http://www.euro.who.int/en/data-and-evidence/databases/european-health-for-all-database-hfa-db"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",291,31,"Injuries: workplace","Standardised incidence rate of serious accidents at work.","The standardised incidence rate of serious accidents at work is the number of persons involved in accidents at work resulting in more than 3 days’ absence per 100,000 persons in employment. An accident at work is a discrete occurrence in the course of work which leads to physical or mental harm. This includes accidents in the course of work outside the premises of one’s business, even if caused by a third party (on clients’ premises, on another company’s premises, in a public place or during transport, including road traffic accidents) and cases of acute poisoning. Occurrences having only a medical origin, occupational diseases and accidents on the way to work are excluded. A serious accident is one that causes more than three days absence from work excluding the day of the accident. The incident rates are standardised by economic activity to eliminate differences due to different distributions of the national workforce across the high-risk\nand low-risk industries. This is achieved by giving each aggregated NACE branch the same weight at national level as in the European Union total (see remarks and references for more information on NACE and the standardisation procedure).\n","This indicator provides information about the risk of the occurrence of a serious accident at work. This is\nregarded as an indication/determinant of the (occupational) health and an indication of safety regulations in\na country.","Rate","Eurostat (ESAW)","• Calendar year\n• Country\n• Region (according to ISARE recommendations; see data availability)\n• Sex\n• Age group (18-24, 25-64 and 65+)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hsw_mi01&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hsw_acc_work_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",296,32,"Suicide attempt","To be developed: Proportion of persons having ever attempted suicide.","No consensus yet on best type of data source; special mental health surveys or administrative sources? There are no prospects that suitable international data collections will be developed in the future.","Suicide is an important public health issue and highlights mental health priority. Data on suicide attempts\nsupplement the information already provided by mortality data (see indicator 13 disease-specific mortality).","n/a","n.a.","n/a","n/a","n/a"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",272,33,"Self-perceived health","Proportion of persons who assess their health to be (very) good.","Proportion of persons who assess their health to be very good or good, based on EU-SILC question on self- perceived health (‘How is your health in general?’), which contains five answering categories; 1) very good,\n2) good, 3) fair, 4) bad, 5) very bad. Numbers of people assessing their health as either very good or good should be added and divided by the total number of people who were interviewed. Age-standardization: see remarks.","Subjective health measurement is contributing to the evaluation of health problems, the burden of diseases\nand health needs at the population level. Perceived health status is not a substitute for more objective\nindicators but rather complements these measures. Studies have shown perceived health to be a good\npredictor of subsequent mortality.","Values","Eurostat (EU-SILC)","• Calendar year\n• Country\n• Sex\n• Age group (16-64, 65+)\n• Socio-economic status (educational level. ISCED 3 aggregated groups: 0-2; 3+4; 5+6; see remarks).","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_silc_02&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_silc_01_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",278,34,"Self-reported chronic morbidity","Proportion of people reporting that they have any long-standing chronic illness or long-standing health\nproblem.","Proportion of persons who answer ‘yes’ to EU-SILC question: do you have any longstanding illness or longstanding health problem? Longstanding = illnesses or health problems which have lasted, or are expected to last, for 6 months or more. Age-standardization: see remarks.","Widely used measure of general health, contributing to the evaluation of health problems, the burden of\ndiseases and health needs at the population level.","Percentage","Eurostat (EU-SILC)","• Calendar year\n• Country\n• Sex\n• Age group (16-64, 65+)\n• Socio-economic status (educational level. ISCED 3 aggregated groups: 0-2; 3+4; 5+6; see remarks).","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_silc_05&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_silc_01_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",275,35,"Long-term activity limitations","Proportion of people reporting that they have long-term restrictions in daily activities.","Proportion of people who answer “yes strongly limited” or “yes limited” to EU-SILC question: For at least the past 6 months, to what extend you have been limited because of a health problem in activities people usually do? (Answering categories; yes strongly limited, yes limited, no not limited). Numbers of people answering “yes strongly limited” or “yes limited” should be added and divided by the total number of people who were interviewed. Age-standardization: see remarks.","Widely used measure of general health, contributing to the evaluation of health problems, the burden of\ndiseases and health needs at the population level.","Percentage","Eurostat (EU-SILC)","• Calendar year\n• Country\n• Sex\n• Age group (16-64, 65+)\n• Socio-economic status (educational level. ISCED 3 aggregated groups: 0-2; 3+4; 5+6; see remarks\n","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_silc_07&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_silc_01_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",276,36,"Physical and sensory functional limitations","The percentage of people who declare having physical and sensory functional limitations (concerning seeing, hearing, mobility, speaking, biting/chewing, and agility).","Prevalence of physical and sensory functional limitations measured by the European Health Interview Survey (EHIS) instrument derived from the following questions PL.1-PL.11:\nPL1. Do you wear glasses or contract lenses? (Yes / No / I am blind cannot see) PL2: Can you see newspaper print?\nPL3: Can you see the face of someone 4 metres away (across a road)? PL4: Do you wear a hearing aid? (Yes / No / I am profoundly deaf) PL5: Can you hear what is said in a conversation with several people\nPL6: Can you walk 500 metres on a flat terrain without a stick or other walking aid or assistance?\nPL7: Can you walk up and down a flight of stairs without a stick, other walking aid, assistance or using a banister?\nPL8: Can you bend and kneel down without any aid or assistance?\nPL9: Using your arms, can you carry a shopping bag weighting 5 kilos for at least 10 metres without any aid or assistance?\nPL10: Can you use your fingers to grasp or handle a small object like a pen without any aids?\nPL11: Can you bite and chew on hard foods such as firm apple without any aid (for example, denture)? Answer categories: Yes, with no difficulty / With some difficulty / With a lot of difficulty / Not at all.\n\nIn the calculation of the indicator, the questions on the use of glasses/contact lenses (PL1) and of a hearing aid (PL4) are not considered. People are considered as\na) not limited if the responses for all the remaining questions is always “Yes, with not difficulty”,\nb) moderately limited in case the response of at least one question is “Yes, with some difficulty” (and for none of the questions the response is “With a lot of difficulty” or “not at all”).\nc) severely limited if the response of at least one question is “With a lot of difficulty” or “Not at all”.\n\nEHIS data will not be age standardized.","Western societies are confronted with a growing life expectancy. This rise in life expectancy is linked with a growing number of people with limitations and functional incapacities. Assessing functioning is particularly important in the elderly, as the prevalence of functional disability increases with age. Growing interest is emerging in different aspects of functioning, as adequate physical function plays a prominent role in maintaining independence of older adults and in the ability of people to participate and contribute to society. Declining physical functioning associated with increasing age and chronic diseases, contributes to the\nneed of assistance in performing basic tasks and to increased rates of institutionalization.","n/a","Eurostat (EHIS)","• Country\n• Calendar year\n• Sex\n• Age group (15-64, 65+)\n• Socio-economic status (educational level. ISCED 3 aggregated groups: 0-2; 3+4; 5+6)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_st9&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_det_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",277,37,"General musculoskeletal pain","Prevalence of general musculoskeletal pain, measured by means of health interview survey using representative population sample.","Topic needs further development:\n• No instruments for monitoring musculoskeletal problems in HISs have been properly validated in an international setting. For example, SF-36 includes pain in general, not musculoskeletal pain.\n• The European Health Interview Survey (EHIS) has no question on musculoskeletal pain, just a  general question on any physical pain or discomfort (SF.1) (wave I, 2006-2010). For the questionnaire that is being developed for EHIS wave II (envisaged for 2014), a recommendation for questions on musculoskeletal pain developed by the EUMUSC.NET project (see remarks) was submitted on behalf of ECHIM. Preliminary versions of the questionnaire under development for wave II show that this\nrecommendation was not taken over, meaning that there will be no question on general musculoskeletal pain in EHIS wave II either.\n• Few national HISs have a question specifically on musculoskeletal pain. Some HISs include specific questions on diagnosis, such as “has a doctor ever told you that you have osteoporosis?”, but such questions are not considered relevant for monitoring unspecified musculoskeletal problems.","High-burden health problem. Musculoskeletal conditions (MSC) are a heterogeneous group of welldefined\ndiseases like rheumatoid arthritis, as well as more unspecific conditions like chronic widespread\nmusculoskeletal pain and low back pain. The conditions are rarely life threatening, but the major cause of\nsickness absence and disability pension. Prevention, treatment and rehabilitation of persons with MSC are\noften insufficient.","n/a","n.a.","n/a","n/a","n/a"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",293,38,"Psychological distress and well-being","To be developed, e.g. occurrence and extent of psychological distress during past month.","Topic needs further development:\n• In the European Health Interview Survey (EHIS) wave I, variables for computing psychological distress were gathered by means of the Mental Health Index (MHI-5) scale of the RAND Short Form 36. Though this is a well-validated instrument in Western countries, problems were encountered with its application in Eastern European countries. Based on these experiences, the plan for EHIS wave II is to drop the MHI-5 scale from the questionnaire and to not replace it with an alternative for measuring generic mental health.\n• What instrument should we use for gathering data on psychological distress in Europe, now that the MHI-5 has proven inadequate in practice?\n• What data source to use now that EHIS will no longer provide data?","Psychological distress is associated with high use of health services and decreased level of functioning. It\nis also predictor of mortality. Promotion and prevention activities may decrease the level of psychological\ndistress.","n/a","n.a.","n/a","n/a","n/a"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",293,38,"Psychological distress","To be developed, e.g. occurrence and extent of psychological distress during past month.","Topic needs further development:\n• In the European Health Interview Survey (EHIS) wave I, variables for computing psychological distress were gathered by means of the Mental Health Index (MHI-5) scale of the RAND Short Form 36. Though this is a well-validated instrument in Western countries, problems were encountered with its application in Eastern European countries. Based on these experiences, the plan for EHIS wave II is to drop the MHI-5 scale from the questionnaire and to not replace it with an alternative for measuring generic mental health.\n• What instrument should we use for gathering data on psychological distress in Europe, now that the MHI-5 has proven inadequate in practice?\n• What data source to use now that EHIS will no longer provide data?","Psychological distress is associated with high use of health services and decreased level of functioning. It\nis also predictor of mortality. Promotion and prevention activities may decrease the level of psychological\ndistress.","n/a","n.a.","n/a","n/a","n/a"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",293,39,"Psychological well-being","To be developed, e.g. occurrence and extent of psychological well-being during past month.","Topic needs further development:\n• In the European Health Interview Survey (EHIS) wave I, variables for computing psychological distress were gathered by means of the Energy and Vitality Index (EVI) scale of the RAND Short Form 36. Though this is a well-validated instrument in Western countries, problems were encountered with its application in Eastern European countries. Based on these experiences, the plan for EHIS wave II is to drop the EVI scale from the questionnaire and to not replace it with an alternative for measuring generic mental health.\n• What instrument should we use for gathering data on psychological well-being in Europe, now that the EVI has proven inadequate in practice?\n• What data source to use now that EHIS will no longer provide data?","Psychological well-being is an important indicator of positive mental health and thus one of the core\nindicators to cover the mental health issue. Psychological well-being is linked to better general and mental\nhealth. Promotion and prevention activities may increase the level of well-being.","n/a","n.a.","n/a","n/a","n/a"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",246,41,"Health expectancy: Healthy Life Years (HLY) at 65","Expected remaining years lived at a particular age a) in good perceived health and b) without self-reported chronic morbidity.","Health Expectancy is computed as the life expectancy from which the expected number of years lived in\na) less than good perceived health or b) with self-reported chronic morbidity is subtracted. It is calculated by the Sullivan method based on life table data and age-specific period prevalence data of the health state in question. For more information on the details of the computation method, see references. For more information on self-perceived health and self-reported chronic morbidity see the documentation sheets for indicators 33. Self-perceived health and 34. Self-reported chronic morbidity.","Health expectancies extend the concept of life expectancy to self perceived health, morbidity and disability\nin order to assess the quality of years lived. It is a composite indicator of health that takes into account both\nmortality data and data referring to health status, such as poor self-perceived health and chronic morbidity,\nproviding more information on burden of diseases in the population than life expectancy alone. Monitoring time trend of life expectancy and healthy life years together allows assessing whether years of life gained are healthy years or not.","n/a","EHEMU/EHLEIS project","• Calendar year\n• Country\n• Region (according to ISARE recommendations; see data availability)\n• Sex\n• Age group (at birth and at age 65)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_silc_17&lang=en","http://epp.eurostat.ec.europa.eu/cache/ITY_SDDS/EN/hlth_silc_17_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",305,42,"Body mass index","Proportion of adult persons (18+) who are obese, i.e. whose body mass index (BMI) is ≥ 30 kg/m².","Body mass index (BMI), or Quetelet index, is defined as the individual’s body weight (in kilograms) divided by the square of their height (in metres). Weight and height derived from European Health Interview Survey (EHIS) questions BMI01: How tall are you? (cm), and BMI02: How much do you weight without clothes and shoes? (kg). EHIS data will not be age standardized.","Excessive body weight predisposes to various diseases, particularly cardiovascular diseases, diabetes mellitus type 2, sleep apnoea and osteoarthritis. Obesity is a growing public health problem. Effective interventions exist to prevent and treat obesity. Many of the risks diminish with weight loss.","n/a","Eurostat (EHIS) or national HIS","• Country\n• Calendar year\n• Sex\n• Age group (18-64, 65+)\n• Socio-economic status (educational level. ISCED 3 aggregated groups: 0-2; 3+4; 5+6)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_de1&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_det_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",285,43,"Blood pressure","Proportion of individuals reporting to have been diagnosed with high blood pressure which occurred during the past 12 months.","Proportion of individuals reporting to have been diagnosed with high blood pressure (hypertension) which occurred during the past 12 months, derived from European Health Interview Survey (EHIS) questions HS.4/5/6: HS.4: Do you have or have you ever had any of the following diseases or conditions? High blood pressure (hypertension) (yes / no). If yes: HS.5: Was this disease/condition diagnosed by a medical doctor? (yes / no). HS.6: Have you had this disease/condition in the past 12 months? (yes / no). EHIS data will not be age standardized.","Strong indicators of the risk of coronary heart disease, stroke and diabetes. Amenable to interventions. Small changes in the average blood pressure values of a population may be of considerable importance to public health.","Percentage","Eurostat (EHIS) or national HIS","• Country\n• Calendar year\n• Sex\n• Age group (25-64, 65+)\n• Socio-economic status (educational level. ISCED 3 aggregated groups: 0-2; 3+4; 5+6)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_st1&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_det_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",299,44,"Regular smokers","Proportion of people reporting to smoke cigarettes daily.","Percentage of respondents answering reporting to smoke cigarettes daily derived from EHIS questions SK.1 and SK.2; SK.1: Do you smoke at all nowadays? 1. Yes, daily; 2. Yes, occasionally; 3. Not at all. SK.2: What tobacco product do you smoke each day? 1. Manufactured cigarettes; 2. Hand-rolled cigarettes; 3. Cigars; 4. Pipefuls of tobacco; 5. Other. For the calculation of this indicator the answering categories “yes, daily” for EHIS question SK.1 should be combined with answering categories “manufactured cigarettes” and/or “hand- rolled cigarettes” for EHIS question SK2. EHIS data will not be age standardized.","Tobacco use is one of the leading preventable causes of death and disease in our society. It is a major risk factor for diseases of the heart and blood vessels, chronic bronchitis and emphysema, cancers of the lung and other diseases. Passive smoking is also an important public health problem. Smoking is a modifiable lifestyle risk factor; effective tobacco control measures can reduce the occurrence of smoking in the population.","Percentage","Eurostat (EHIS) or national HIS","• Calendar year\n• Country\n• Sex\n• Age group (15-24; 25-64; 65+)\n• Socio-economic status (educational level. ISCED 3 aggregated groups: 0-2; 3+4; 5+6)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_de3&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_det_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",300,45,"Pregnant women smoking","Percentage of women who smoke during pregnancy.","The indicator is intended to measure smoking during pregnancy, given the adverse perinatal health effects of smoking. Indicator needs development. The keys issues are:\n1) At what point of pregnancy should smoking be measured? See under remarks.\n2) Which type of data is basically better. The choice (birth registers versus perinatal health surveys) can affect prevalence estimates.\n3) At the moment there is no satisfactory proposal for indicator calculation\n4) There is no regular/sustainable data collection for this indicator topic.","Smoking during pregnancy is associated with adverse perinatal outcomes including spontaneous abortion early in pregnancy, growth restriction, preterm birth and perinatal death. The indicator can be used as an indicator of prenatal care and prevention, if data is available on percent of pregnant women quitting smoking during the 1st trimester of pregnancy. Amenable to intervention.","n/a","n.a.","n/a","n/a","n/a"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",302,47,"Hazardous alcohol consumption","Proportion of individuals reporting to have had an average rate of consumption of more than 20 grams pure alcohol daily for women and more than 40 grams daily for men.","Percentage of men/women having over the week on average ≥2 drinks/day (women) or ≥3 drinks/day (men), derived from EHIS question AL.2: How many drinks containing alcohol do you have each day in a typical week when you are drinking? Start with Monday and take one day at a time. Number of drinks of: Beer, Wine, Liqueur, Spirits, Other local alcoholic beverage.\nPrecise operationalisation to be formulated.","Alcohol consumption is an important determinant of health and welfare. Overall, there are causal\nrelationships between alcohol consumption and over 60 types of disease and injury. It is also amenable to\ninterventions. Alcohol related health problems usually occur with increasing alcohol consumption. Health\ndamages can be caused by a single occasion of heavy drinking – i.e. due to accidents, drunk driving, violence\n(as perpetrator or as victim), unprotected sexual exposure, etc. – or can be linked to regular heavy drinking –\ni.e. liver cirrhosis, irreversible neurological damage, possible increased risk for cardiovascular disease (CVD)\nand for certain cancers, exacerbation of pre-existing difficulties such as depression and family problems, loss of employment, etc. These direct and indirect health consequences of drinking lead to consider alcohol as one of the three leading contributors to preventable death.","n/a","Eurostat (planned EHIS 2nd wave)","• Country\n• Calendar year\n• Sex\n• Age group (15-64, 65+)\n• Socio-economic status (educational level. ISCED 3 aggregated groups: 0-2; 3+4; 5+6)","n/a","n/a"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",303,48,"Use of illicit drugs","Prevalence of use of specific illicit psychoactive drugs.","Percentage of people reporting to have ever used illicit cannabis, cocaine, amphetamine, and/or ecstasy in the past (lifetime prevalence) and percentage of people reporting to have used these illicit drugs during the past year (last year prevalence).","Illicit use of drugs can be a determinant for and a consequence of health and social problems. Illicit drug use correlates with other health and social problems, especially for youth. Prevalence estimates help to identify needs, plan and evaluate interventions and policies.","Percentage","EMCDDA","• Calendar year\n• Country\n• Age groups (15–64, 15–34)","http://www.emcdda.europa.eu/data/stats2015","http://www.emcdda.europa.eu/data/stats2015/methods-gps"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",304,49,"Consumption of fruit","Proportion of people reporting to eat fruits (excluding juice) at least once a day.","Percentage of people reporting to eat fruits (excluding juice) at least once a day, derived from EHIS question FV.1. How often do you eat fruits (excluding juice)? 1. Twice or more a day / 2. Once a day / 3. Less than once a day but at least 4 times a week / 4. Less than 4 times a week, but at least once a week / 5. Less than once a week / 6. Never (answering categories 1 and 2 should be added for the calculation of this indicator). EHIS data will not be age standardized.","Important health promoting food item. The consumption of fruits and vegetables is a good proxy for a healthy diet. Fruits and vegetables are a dietary protective factor for tobacco related and several other cancers\nas well as for cardiovascular disease. Use declining in many countries. Amenable to interventions","Percentage","Eurostat (EHIS) or national HIS","• Calendar year\n• Country\n• Sex\n• Age group (15-24; 25-64; 65+)\n• Socio-economic status (educational level. ISCED 3 aggregated groups: 0-2; 3+4; 5+6)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_de7&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_det_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",304,50,"Consumption of vegetables","Proportion of people reporting to eat vegetables (excluding potatoes and juice) at least once a day.","Percentage of people reporting to eat vegetables (excluding potatoes and juice) at least once a day, derived from EHIS question FV.2. How often do you eat vegetables or salad (excluding juice and potatoes)? 1. Twice or more a day / 2. Once a day / 3. Less than once a day but at least 4 times a week / 4. Less than 4 times a week, but at least once a week / 5. Less than once a week / 6. Never (answering categories 1 and 2 should be added for the calculation of this indicator). EHIS data will not be age standardized.","Important health promoting food item. The consumption of fruits and vegetables is a good proxy for a healthy diet. Fruits and vegetables are a dietary protective factor for tobacco related and several other cancers\nas well as for cardiovascular disease. Use declining in many countries. Amenable to interventions.","Percentage","Eurostat (EHIS) or national HIS","- Calendar year\n- Country\n- Sex\n- Age group (15-24; 25-64; 65+)\n- Socio-economic status (educational level. ISCED 3 aggregated groups: 0-2; 3+4; 5+6)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_de8&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_det_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",309,51,"Breastfeeding: Percentage of infants breastfed, at least partially, at 3 or 6 months of age","Percentage of infants breastfed at 3 months of age and at 6 months of age.","Percentage of infants reaching their first birthday in the given calendar year who were breastfed, at least partially, when they were 3 and 6 months of age.","Breastfeeding is an important determinant of the health of both mother and child and in terms of e.g. nutrition and infections (child), and weight gain and risk for breast cancer (mother).","n/a","WHO-HFA","• Calendar year\n• Country\n• Socio-economic status (see data availability)\n• Region (see data availability)","n/a","n/a"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",306,52,"Physical activity","Proportion of individuals reporting to perform a certain period of time of health enhancing physical activity on an average day/at least X times per week (precise operationalization to be formulated).","Proportion of individuals reporting to perform a certain period of time of health enhancing physical activity on an average day/at least X times per week (precise operationalization to be formulated).","It has been largely recognised that physical activity has a substantial impact on health status and must be considered as one of the major behaviours to be promoted in the field of public health. Relative physical\ninactivity, usually together with unhealthy food habits, is associated with the development of many of the major non-communicable diseases in society, such as CVD, some cancers, obesity, diabetes and osteoporosis.","Percentage","Eurostat (planned EHIS 2nd wave)","• Country\n• Calendar year\n• Sex\n• Age group (15-64, 65+)\n• Socio-economic status (educational level. ISCED 3 aggregated groups: 0-2; 3+4; 5+6)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_de9&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_det_esms.htm\n"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",332,53,"Work-related health risks (self-reported)","1) Percentage of employees who think that their health or safety is at risk because of their work.\n2) Percentage of employees who think their health is negatively affected by their work.\n3) Percentage of employees receiving regular support from manager and colleagues.","1) Percentage of employees answering ‘yes’ to the question: Do you think your health or safety is at risk because of your work?\n2) Percentage of employees answering ‘yes, mainly negatively’ to the question: Does your work affect your health, or not?\n3) Percentage of employees answering ‘always’, ‘most of the time’ or ‘sometimes’ to both of the following questions:\n- Do your colleagues help and support you?\n- Does your manager help and support you?","Workplace conditions are important for health and amenable to interventions. Furthermore, ensuring quality\nof work and employment is a core element in achieving the objective of ‘smart, sustainable and inclusive growth’ of the Europe 2020 strategy.","n/a","EUROFOUND (EWCS)","Calendar year Country\nRegion (according to ISARE recommendations) Sex\nAge group (< 30, 30-49, 50+)\nType of occupation (see work to do section related to operationalization of this dimension)","n/a","n/a"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",342,54,"Social support","Proportion of individuals reporting that they have none or 1 person that they can count on if they have serious personal problems.","Number of persons on whom the respondent can rely on when help is needed, as measured by EHIS question EN.4: How many people are so close to you that you can count on them if you have serious personal problem? (None / 1 or 2 / 3 to 5 / More than 5).","Social support is a protective factor in times of stress. A low level of social support is associated with ill-health (both e.g. depression and somatic diseases). It is important for public health policy to collect information on\nsocial support to enable both risk assessment and the planning of preventive interventions.","n/a","Eurostat (EHIS)","• Country\n• Calendar year\n• Sex\n• Age group (15-64, 65+)\n• Socio-economic status (educational level. ISCED 3 aggregated groups: 0-2; 3+4; 5+6)","n/a","n/a"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",321,55,"PM10 (particulate matter) exposure","Annual urban population average exposure to outdoor air pollution by particulate matter (PM10).","The population-weighted annual mean concentrations of Particulate Matter 10 measured at urban and sub- urban background stations in agglomerations. Annual mean concentration of PM10 is the averaged over all measurements conducted in the year in question. PM10 refers to particulates whose diameter is less than  10 micrometers. Measurement unit is micrograms per cubic meter.","Urban air pollution is responsible for substantial burden of disease and death. Very young children, probably including unborn babies, are particularly sensitive to air pollutants. Fine particulates (PM10) can be carried deep into the lungs where they can cause inflammation and a worsening of the condition of people with heart and lung diseases. The data in the indicator relate to the target and limit values as set in EC legislation.","in micrograms per cubic metre","Eurostat","• Calendar year\n• Country","http://ec.europa.eu/eurostat/tgm/table.do?tab=table&init=1&language=en&pcode=tsdph370&plugin=1","http://ec.europa.eu/eurostat/cache/metadata/EN/tsdph370_esmsip.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",98,56,"Vaccination coverage in children","Percentage of infants who have been fully vaccinated against important infectious childhood diseases.","Percentage of infants reaching their 1st birthday in the given calendar year who have been fully vaccinated, according to national vaccination schemes, against pertussis, diphtheria, tetanus and poliomyelitis, and percentage of infants reaching their 2nd birthday in the given calendar year who have been fully vaccinated against measles, mumps and rubella.","Immunisation is one of the most powerful and cost-effective forms of primary prevention. A classical prevention strategy which should be maintained to continue effective protection.","n/a","WHO -HFA","• Calendar year\n• Country\n• Region (according to ISARE recommendations).\n• Socio-economic  status","http://www.euro.who.int/en/data-and-evidence/databases/european-health-for-all-database-hfa-db","http://data.euro.who.int/hfadb/"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",100,57,"Influenza vaccination rate in elderly","Proportion of elderly individuals reporting to have received one shot of influenza vaccine during the last 12 months.","Percentage of persons aged 65 and older reporting to have been vaccinated against influenza (brand name of vaccine to be verified in each country) during the last 12 months, derived from EHIS questions PA.1, PA.2 and PA.3. PA.1: Have you ever been vaccinated against flu? 1. Yes / 2. No; PA.2: When were you last time vaccinated against flu? 1. Since the beginning of this year / 2. Last year / 3. Before last year PA.3: Can I just check, what month was that? Month (01-12). EHIS data will not be age standardized.","Influenza vaccination in elderly is important for reducing the disease burden of influenza, including mortality.","n/a","Eurostat (EHIS) or national HIS","• Country\n• Calendar year\n• Sex\n• Age group (65+)\n• Socio-economic status (educational level. ISCED 3 aggregated groups: 0-2; 3+4; 5+6)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_hc1&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_det_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",101,58,"Breast cancer screening, proportion of women","Proportion of women (aged 50-69) reporting to have undergone a breast cancer screening test within the past two years.","Percentage of women aged 50-69 reporting to have had a breast examination by X-ray (i.e. mammography) within past 2 years, derived from EHIS questions PA.10 and PA.11: PA.10: Have you ever had a mammography, which is an X-ray of one or both of your breasts? Yes / No / Don’t know / Refusal; and PA.11: When was the last time you had a mammography (breast X-ray)? Within the past 12 months / More than 1 year, but not more than 2 years / More than 2 years, but not more than 3 years / Not within the past 3 years / Don’t know / Refusal. EHIS data will not be age standardized.","Breast cancer is the most frequent cancer among women; it represents 15 to 35% of all cancers diagnosed\nin Europe. Population-based cancer registries have consistently documented a continuing rise of incidence\nrates since the 1960s. Breast cancer screening programmes based on mammography and organised at the\npopulation level allow an effective decrease of breast cancer mortality by 30% among women aged 50 to 69\nyears. Information collected in population surveys can be directly used by the public health decision makers\nin order to possibly adapt the organisation of the prevention/screening programmes. The domain of breast\ncancer screening is a priority in European Community public health policy.","n/a","Eurostat (EHIS) or national HIS","• Country\n• Calendar year\n• Age group (50-69)\n• Socio-economic status (educational level. ISCED 3 aggregated groups: 0-2; 3+4; 5+6)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_hc2&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_det_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",101,59,"Cervical cancer screening, proportion of women","Proportion of women (aged 20-69) reporting to have undergone a cervical cancer screening test within the past three years.","Percentage of women aged 20-69 reporting to have had a cervical smear test (pap smear) within the last 3 years, derived from EHIS questions PA.13 and PA.14. PA.13: Have you ever had a cervical smear test?\nYes / No; PA.14: When was the last time you had a cervical smear test? Within the past 12 months / More than 1 year, but not more than 2 years / More than 2 years, but not more than 3 years / Not within the past 3 years. EHIS data will not be age standardized.","Among all malignant tumors, cervical cancer is the one that can be most effectively controlled by screening. Detection of cytological abnormalities by microscopic examination of Pap smears, and subsequent treatment of women with high-grade cytological abnormalities avoids development of cancer. Information collected in population surveys can be directly used by the public health decision makers in order to possibly adapt the organization of the prevention/screening programmes. The domain of cervical cancer screening is a priority in European Community public health policy.","n/a","Eurostat (EHIS) or national HIS","• Country\n• Calendar year\n• Age group (20-69)\n• Socio-economic status (educational level. ISCED 3 aggregated groups: 0-2; 3+4; 5+6)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_hc3&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_det_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",101,60,"Colon cancer screening, proportion of persons","Proportion of persons (aged 50-74) reporting to have undergone a colorectal cancer screening test in the past 2 years.","Percentage of persons (aged 50-74) that have undergone a colorectal cancer screening test (faecal occult blood test) in the last 2 years, derived from EHIS questions : PA.16 and PA.17. PA.16: Have you ever had a faecal occult blood test? 1. Yes / 2. No; PA.17: When was the last time you had a faecal occult blood test?\nWithin the past 12 months / More than 1 year, but not more than 2 years / More than 2 years, but not more than 3 years / Not within the past 3 years.\n","Colorectal cancer is the third most frequent cancer among males and the second among women. Colorectal cancer mortality can be reduced through screening from the age of 50.\nInformation collected in population surveys can be directly used by the public health decision makers in order to possibly adapt the organisation of the prevention/screening programmes. The domain of colon\ncancer screening is a priority in European Community public health policy.","n/a","Eurostat (EHIS) or national HIS","• Country\n• Calendar year\n• Sex\n• Age group (50-74)\n• Socio-economic status (educational level. ISCED 3 aggregated groups: 0-2; 3+4; 5+6)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_hc4&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_det_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",102,61,"Timing of first antenatal visits among pregnant women","Percentage of women having their first antenatal visit in 1st, 2nd, and 3rd trimester or having no visits. Antenatal visit refers to a visit to a certified health care professional, e.g. general practitioner, obstetrician, midwife and public health nurse. Only visits to examinations and/or pregnancy-related advice are to be included. Mere prescription of a pregnancy test or booking in a maternity unit should be excluded.","Topic needs further development. The keys issues are:\n1) At the moment there is no satisfactory proposal for indicator calculation and data sources.\n2) Recommendations on the appropriate time to begin antenatal care differ across member states, as there is no universal recommendation for optimal timing, amount and content of antenatal care in either low- or high-risk pregnancies. However, early first visit before the end of 1st trimester is recommended in most countries.\n3) Also the definition of what antenatal visit entails may range from the prescription of a pregnancy test to booking in a maternity unit, to first contact with an obstetrician, midwife, or general practitioner.\n4) There are additional variations within countries with respect to the definition of trimesters in terms of gestational age in days or weeks.","Antenatal care is the best preventive care for pregnant women to reduce morbidity and mortality in both mothers and their babies. Antenatal visits allow for the management of pregnancy, detection and treatment\nof complications and promotion of good health. It provides an indication of access to antenatal care. It is a better indicator for international comparisons than an indicator based on recommendations about the\noptimal number of antenatal visits, which vary according to policy differences among MSs.","n/a","n.a.","n/a","n/a","n/a"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",46,62,"Hospital beds","The total number of hospital beds per 100,000 inhabitants. (total number, acute care, psychiatric care, long-term care)","The total number of hospital beds in a given calendar year by 31 December, per 100,000 inhabitants (end of year population). Total hospital beds are all hospital beds which are regularly maintained and staffed\nand immediately available for the care of admitted patients. Both occupied and unoccupied beds in general hospitals, mental health and substance abuse hospitals and other specialty hospitals are included. Definitions applied in the calculation of this indicator are in line with the ICHA-HP classification of providers of health care of the System of Health Accounts (see references).","Data on health care resources form a major element of public health information as they describe the capacities available for different types of health care provision. The quantity and quality of health care services provided and the division of work established between the different institutions are a subject of\nongoing debate in all countries. Sustainability – continuously providing the necessary monetary and personal resources needed – and meeting the challenges of ageing societies are the primary perspectives used when analysing and using these data.","n/a","Eurostat","• Calendar year\n• Country\n• Region (according to ISARE recommendations; see data availability)\n• Type of facility; curative care beds in hospitals, psychiatric care beds in hospitals, long-term care beds (excluding psychiatric) in hospitals\n• Health care sector; public, private (see data availability)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_rs_bds&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_res_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",32,63,"Practising doctors","The total number of practising physicians (medical doctors) per 100,000 inhabitants.","The total number of practising physicians (medical doctors) by 31 December of a given calendar year, per 100,000 inhabitants (end of year population). Practising physicians provide services directly to patients. Practising physicians include:\n• Persons who have completed studies in medicine at university level (granted by adequate diploma) and who are licensed to practice\n• Interns and resident physicians (with adequate diploma and providing services under\n• supervision of other medical doctors during their postgraduate internship or residency in a\n• health care facility)\n• Salaried and self-employed physicians delivering services irrespectively of the place of\n• service provision\n• Foreign physicians licensed to practice and actively practising in the country.\nFor a more detailed definition: see references (definitions on health care statistics (non-expenditure data), available in CIRCA).","Indicator widely used in assessments of accessibility and efficiency of health care services. It describes availability of staff for the whole country and the distribution of staff across the country. Time trends may\nhelp to identify e.g. staff shortages due to demographic developments such as migration.","Per 100,000 inhabitants","Eurostat","• Calendar year\n• Country\n• Region (according to ISARE recommendations; see data availability)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_rs_prs1&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_res_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",38,64,"Practising nurses","The total number of practising nursing and caring professionals per 100,000 inhabitants.","The total number of practising nursing and caring professionals by 31 December of a given calendar year, per 100,000 inhabitants (end of year population). Practising nurses provide services directly to patients. Practising nurses include:\n• Professional nurses\n• Associate professional nurses\n• Foreign nurses licensed to practice and actively practising in the country.\nFor more detailed definitions: see references (definitions and data collection specifications on health care statistics (non-expenditure data), available in CIRCA).","Indicator widely used in assessments of accessibility and efficiency of health care services. It describes availability of staff for the whole country and the distribution of staff across the country. Time trends may\nhelp to identify e.g. staff shortages due to demographic developments such as migration.","Per 100,000 inhabitants","Eurostat","• Calendar year\n• Country\n• Region (according to ISARE recommendations; see data availability)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_rs_prsns&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_res_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",44,65,"Mobility of professionals","To be developed, definition covering both inflow and outflow aspects, e.g.:\n(1) The number and percentage of health care professionals emigrating\n(2) The number and percentage of health care professionals immigrating.","Still a lot of methodological and data availability issues to be resolved, as shown by the PROMeTHEUS project","The EU has promoted the freedom of movement of workers, the freedom of establishment and the freedom\nto provide services as the cornerstones of the EU structure. Therefore, professional mobility has been high on the European political agenda in recent years. Health professionals are key players in the provision of\nhealth services, but in the health sector, occupational mobility should never be at the expense of quality and safety of care in any Member State. Thus, the role of mobility of health professionals should be adequately\naddressed and evaluated, from a (public) health perspective.","n/a","n.a.","n/a","n/a","n/a"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",50,66,"Medical technologies (CT/MRI)","1) Number of Computer tomography scanners (CT units) per 100,000 inhabitants.\n2) Number of Magnetic resonance imaging units (MRI units) per 100,000 inhabitants.","1) The total number of computer tomography scanners (CT units) in hospitals and ambulatory sector registered by 31 December in a given calendar year, per 100,000 inhabitants (end of year population).\n2) The total number of magnetic resonance imaging units (MRI units) in hospitals and ambulatory sector by 31 December in a given calendar year, per 100,000 inhabitants (end of year population).","The availability of modern medical equipments is an indicator for the delivery of up-to-date health care services. There is no general recommendation which per population ratio for the above listed medical\ntechnologies is regarded optimal. However, a high per population ratio may indicate over treatment (overprovision), e.g. the diagnostic measures are applied without indication-based requirement. Due to the high costs of acquisition and operation of these  techniques a careful, indication-based use is regarded essential.","Per 100,000 inhabitants","Eurostat","• Calendar year\n• Country\n• Region (according to ISARE recommendations; see data availability)\n• Provider (hospital, ambulatory sector),\n• Sector (public, not-for-profit and private hospitals)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_rs_equip&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_res_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",52,67,"Hospital in-patient discharges, selected diagnoses","The number of hospital in-patient discharges from all hospitals during a given calendar year, expressed per 100,000 population. Calculated and presented by the following 25 categories of the International Shortlist for Hospital Morbidity Tabulation (ISHMT). (Total (All Causes), Infectious and Parasitic Diseases, Neoplasms, Malignant Neoplasm of Colon, Rectum & Anus; Trachea / Bronchus / Lung; Breast; Uterus; Prostate; Diabetes Mellitus, Mental & Behavioural Disorders, Dementia, Mental and Behavioural Disorders due to Alcohol, Mood [Affective] Disorders, Diseases of the Nervous System/Circulatory/Respiratory System; AMI, Cerebrovascular Disease, COPD and Bronchiectasis, Asthma, Diseases of the Digestive System, Alcoholic Liver Disease, Diseases of the Musculoskeletal System & Connective Tissue, Diseases of the Genitourinary System, Injury, Poisoning & Certain Other Consequences of External Causes)","The indicator is calculated as the total number of hospital in-patient discharges from all hospitals during a given calendar year, expressed per 100,000 inhabitants (end of year population). The definition of hospitals (HP.1) follows the International Classification for Health Accounts– Providers of health care (ICHA-HP) of the System of Health Accounts.","Hospital in-patient discharges are the most commonly used measure of the utilization of hospital services. Indicators based on hospital discharges from particular diseases can be used as an estimate of the burden\nof these diseases on health services. Besides, this indicator is often used as a measure for the occurrence of certain diseases in the population and as an indicator of the quality of primary health care (especially with regard to the care for diabetes, asthma and COPD). Finally, this indicator is often used in assessments of\ncosts and efficiency.","n/a","Eurostat","• Calendar year\n• Country\n• Region (according to ISARE recommendations; see data availability)\n• Age groups: 0-64 and 65+ Age group exceptions:\n• dementia: no disaggregation according to age (not relevant for population below 65)\n• asthma: 0-14 and 15+ (similar to asthma incidence indicator: nr 26; hospital admissions for asthma in particular relevant in children)\n• injury and poisoning & certain other consequences of external causes: 0-14, 15-24, 25-64, and 65+ (similar to injury incidence indicators: nr 29, 30 and 31; injuries are an important cause of burden of disease particularly in children and young adults).","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_co_disch2&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_act_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",54,68,"Hospital day-cases, selected diagnoses","The number of hospital day-cases from all hospitals during the given calendar year, expressed per 100,000 population. Calculated and presented by the following 25 categories of the International Shortlist for Hospital Morbidity Tabulation (ISHMT).","The indicator is calculated as the total number of hospital day-cases from all hospitals during a given calendar year, expressed per 100,000 inhabitants. The definition of hospitals (HP.1) follows the International Classification for Health Accounts– Providers of health care (ICHA-HP) of the System of Health Accounts. For definitions of day-cases see remarks.","Indicators based on hospital day-cases for particular diseases provide information on the burden of these\ndiseases on health services, complementing the information on hospital discharges. Besides, hospital daycases give information on the situation and evolution of these modes of production in health care sector. The\nindicator is also used in assessment of quality of care, costs and efficiency.","Eurostat","n/a","• Calendar year\n• Country\n• Region (according to ISARE recommendations; see data availability)\n• Age groups: 0-64 and 65+\n• Age group exceptions:\n- dementia: no disaggregation according to age (not relevant for population below 65)\n- asthma: 0-14 and 15+ (similar to asthma incidence indicator: nr 26; hospital admissions for asthma in particular relevant in children)\n• injury and poisoning & certain other consequences of external causes: 0-14, 15-24, 25-64, and 65+ (similar to injury incidence indicators: nr 29, 30 and 31; injuries are an important cause of burden of disease particularly in children and young adults).","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_co_disch4&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_act_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",54,69,"Hospital day-cases as percentage of total patient population (in-patients & day- cases), selected diagnoses","Hospital day-cases, for specific ICD-10 diagnosis groups, divided by the sum of number of in-patient discharges and the number of day-cases for the same diagnosis group. Calculated and presented for the following 25 categories of the International Shortlist for Hospital Morbidity Tabulation (ISHMT).","The indicator is calculated as the total number of hospital day-cases from all hospitals during the given calendar year, divided by the sum of the number of hospital in-patient discharges from all hospitals and the number of hospital day-cases from all hospitals, for each of the diagnosis groups, during the given calendar year. The definition of hospitals (HP.1) follows the International Classification for Health Accounts– Providers of health care (ICHA-HP) of the System of Health Accounts.\nFor the definition of a day case, an in-patient and a (hospital) discharge see remarks for indicators 67. Hospital in-patient discharges and 68. Hospital day-cases.\n","Hospital day-cases as percentage of total patient population provides information on the situation and\nevolution of this mode of production in health care sector. By combining the information on hospital inpatient discharges and day cases, it provides extra insight in issues of quality of care, costs and efficiency.","Eurostat","n/a","• Calendar year\n• Country\n• Region (according to ISARE recommendations; see data availability)\n• Age groups: 0-64 and 65+ Age group exceptions:\n• dementia: no disaggregation according to age (not relevant for population below 65)\n• asthma: 0-14 and 15+ (similar to asthma incidence indicator: nr 26; hospital admissions for asthma in particular relevant in children)\n• injury and poisoning & certain other consequences of external causes: 0-14, 15-24, 25-64, and 65+ (similar to injury incidence indicators: nr 29, 30 and 31; injuries are an important cause of burden of disease particularly in children and young adults).","http://ec.europa.eu/eurostat/web/health/health-care/data/database","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_act_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",55,70,"Average length of stay (ALOS), limited diagnoses","The average length of stay (ALOS) in days in a hospital per discharged in-patient, i.e. average duration of a single episode of hospitalization. Calculated and presented by the following 25 categories of the International Shortlist for Hospital Morbidity Tabulation (ISHMT)","Average length of stay (ALOS) is computed by dividing the total number of in-patient hospital days , in all hospitals, counted from the date of admission to the date of discharge by the total number of discharges (including deaths) in all hospitals during a given year. A hospital day (or bed-day or in-patient day) is a day, during which a person admitted as an in-patient, is confined to a bed and stays overnight in a hospital.\nDay-cases (patients formally admitted for a medical procedure or surgery in the morning and discharged before the evening) are excluded. Patients admitted with the intention of discharge on the same day, but who subsequently stay in hospital overnight, are included.","Average length of stay (ALOS) is used in assessment of quality of care, costs and efficiency. The indicator is often used for health planning purposes. But it has to be pointed out that the type of reimbursement system or health insurance plan in a country can play a significant role in the patient length of stay in hospitals.","Eurostat","n/a","• Calendar year\n• Country\n• Region (according to ISARE recommendations; see data availability)\n• Age groups: 0-64 and 65+ Age group exceptions:\n• dementia: no disaggregation according to age (not relevant for population below 65)\n• asthma: 0-14 and 15+ (similar to asthma incidence indicator: nr 26; hospital admissions for asthma in particular relevant in children)\n• injury and poisoning & certain other consequences of external causes: 0-14, 15-24, 25-64, and 65+ (similar to injury incidence indicators: nr 29, 30 and 31; injuries are an important cause of burden of disease particularly in children and young adults).","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_co_disch&lang=en","http://epp.eurostat.ec.europa.eu/cache/ITY_SDDS/EN/hlth_care_esms.htm "]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",59,71,"General practitioner (GP) utilisation: self-reported visits ","Mean number of self-reported visits to general practitioner per person per year.","Mean number of visits to general practitioner per person per year, derived from EHIS questions HC10 and HC11. HC10: When was the last time you consulted a GP (general practitioner) or family doctor on your\nown behalf? (1) Less than 12 months ago /2) 12 months ago or longer / 3) Never) If HC10 is 1): ➛ HC11:\nDuring the past four weeks ending yesterday, that is since (date), how many times did you consult a GP (general practitioner) or family doctor on your own behalf? (number of times). Total number of contacts reported under HC11 is extrapolated from 4 to 52 weeks, and divided by the total number of respondents in the sample. EHIS data will not be age standardized.","A basic indicator for the use of medical services. The differences by sex, age and socio-economic status provide information that can be used in assessment of the cost and (equity of ) access to health services.","Eurostat (EHIS)","n/a","• Country\n• Calendar year\n• Sex\n• Age group (15-64, 65+)\n• SES (educational level. ISCED 3 aggregated groups: 0-2; 3+4; 5+6)","n/a","n/a"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",61,72,"Selected outpatient visits","1) Mean number of self-reported visits to a dentist or orthodontist per person per year.\n2) Mean number of self-reported visits to a medical or surgical specialist per person per year.\n3) Proportion of population reporting to have had a contact with a psychologist or psychotherapist during\nthe past 12 months.","1) Mean number of self-reported visits to a dentist or orthodontist per person per year, derived from EHIS questions HC08 and HC09. HC08: When was the last time you visited a dentist or orthodontist on your own behalf (that is not while only accompanying a child, spouse etc)? (1) Less than 12 months ago\n/2) 12 months ago or longer / 3) Never) If HC08 is 1): ➛ HC09: During the past four weeks ending\nyesterday, that is since (date), how many times did you consult a dentist or orthodontist on your own behalf? (number of times). Total number of contacts reported under HC09 is extrapolated from 4 to 52 weeks, and divided by the total number of respondents in the sample.\n2) 2. Mean number of self-reported visits to a medical or surgical specialist per person per year, derived from EHIS questions HC12 and HC13. HC12: When was the last time you consulted a medical or surgical specialist on your own behalf? (1) Less than 12 months ago /2) 12 months ago or longer /\n3) Never) If HC12 is 1): ➛ HC13: During the past four weeks ending yesterday, that is since (date),\nhow many times did you consult a specialist on your own behalf? (number of times). Total number of contacts reported under HC13 is extrapolated from 4 to 52 weeks, and divided by the total number of respondents in the sample.\n3) Percentage of respondents reporting to have had a contact with a psychologist or psychotherapist during the past 12 months, derived from EHIS question HC.16 During the past 12 months, that is since (date on year ago), have you visited on your own behalf a …? (different types of health care providers are listed among which ‘psychologist or psychotherapist’). Numerator = number of respondents answering yes\nto the question whether they visited a psychologist or psychotherapist. Denominator = total number of respondents in sample.\nEHIS data will not be age standardized.","Indicator used in assessment of cost and (equity of ) access.","Eurostat (EHIS)","n/a","• Country\n• Calendar year\n• Sex\n• Age group (15-64, 65+)\n• SES (educational level. ISCED 3 aggregated groups: 0-2; 3+4; 5+6)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_hc5&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_det_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",68,73,"Surgeries: PTCA, hip, cataract, c-section","The number of surgical operations and procedures performed in hospitals, including day-cases as well as inpatient surgery, per 100,000 population, for eleven categories: PTCA (Percutaneous transluminal coronary angioplasty); Hip Replacement, Cataract, Tonsillectomy, Coronary Artery Bypass Graft, Laparoscopic Cholecystectomy, Repair of Inguinal Hernia, Caesarean Section, Total Knee Replacement, Partial Excision of Mammary Gland, Total Mastectomy)","The number of surgical operations and procedures performed in hospitals in a given year as day-cases or\nin-patient surgery (by ICD-9-CM), expressed as rates per 100,000 population (end of year population), for each selected category","The volume of certain surgeries is a function of the prevalence of the underlying diagnosis and the availability of appropriate medical resources. It serves as an indicator for aspects of accessibility, up-to-date quality of\ncare, costs and use.","Eurostat","n/a","• Calendar year\n• Country\n• Region (according to ISARE recommendations; see data availability)\n• Age groups (see data availability)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_co_proc2&lang=en","http://epp.eurostat.ec.europa.eu/cache/ITY_SDDS/EN/hlth_act_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",144,74,"Medicine use, selected groups, self-reported","Percentage of population who report having used antibiotics or medication for asthma, COPD, high blood pressure, cardiovascular diseases, diabetes, tension/anxiety and depression prescribed by a physician during the past 2 weeks.","Percentage of population who report having used antibiotics or medication (for asthma, COPD, high blood pressure, cardiovascular diseases (total of medication for high blood pressure, lowering blood cholesterol  and other cardiovascular diseases, such as stroke and heart attack), diabetes, tension/anxiety and depression) prescribed by a physician during the past 2 weeks, derived from the European Health Interview Survey (EHIS) questions W2_S 38, W2_S 39 and W2_S 40.\n• W2_S 38 During the past two weeks, have you used any medicines (including dietary supplements such as herbal medicines or vitamins) that were prescribed for you by a doctor – (for women, please also state: exclude also contraceptive pills or other hormones)? (yes/no).\n• If yes: W2_S 39 Were they medicines for…?\na) Asthma\nb) Chronic bronchitis, chronic obstructive pulmonary disease, emphysema\nc) High blood pressure\nd) Lowering the blood cholesterol level\ne) Other cardiovascular disease, such as stroke and heart attack f )  Pain in the joints\ng) Pain in the neck or back\nh) Headache or migraine\ni) Diabetes\nj) Allergic symptoms (eczema, rhinitis, hay fever)\nk) Stomach troubles\nl) Depression\nm) Tension or anxiety\n• W2_S 40 Have you used in the past two weeks other types of medicines that were prescribed to you, such as …? (yes/no) If yes:\nn) N. Sleeping tablets\no) O. Antibiotics such as penicillin (or any other national relevant example)","Indicates aspects of accessibility, up-to-date quality of care, and costs. Large differences between countries may point to under-use as well as over-use. However, a benchmark value cannot be given because several different factors can influence the use of a medicine.","n/a","Eurostat (EHIS)","• Country\n• Calendar year\n• Sex\n• Age group (15-64, 65+)\n• Socio-economic status (educational level. ISCED 3 aggregated groups: 0-2; 3+4; 5+6)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_hc7&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_det_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",15,75,"Patient mobility: non-resident people among all people being discharged from hospital","Absolute number and percentage of non-resident people among all people being discharged from hospital.","Absolute number and percentage of non-resident people among all people being discharged from hospital (both day-cases and in-patients) in a country and in a given calendar year. The definition of hospitals (HP.1) follows the International Classification for Health Accounts– Providers of health care (ICHA-HP) of the System of Health Accounts. For definitions of residents, an in-patient, day-case and a hospital discharge see remarks.","Meets the increasingly important EU-health policy issue of cross-border care. Increased patient mobility raises a number of issues and concerns in MS in respect of e.g. health care availability and utilisation, health\ninfrastructure development, cost sharing and patient safety.","n/a","Eurostat","Country Year\nRegion (according to ISARE recommendations)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_co_dischnr&lang=en","http://epp.eurostat.ec.europa.eu/cache/ITY_SDDS/EN/hlth_act_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,76,"Insurance coverage","The proportion of the population covered by health insurance, taking into account both public and private insurance schemes.","n/a","Indicator describing (equal) access to services. Indicator for social inequalities in health care system.","Public (government/social) health insurance coverage is the share of the population (%) eligible for a defined set of health care goods and services that are included in total public health expenditure. Private health insurance coverage is the share of the population (%) based on a head count of individuals covered by at least one private health insurance policy (including both individuals covered in their own name and dependants).","n/a","• Calendar year\n• Country\n• Sex (see data availability)","http://www.oecd-ilibrary.org/social-issues-migration-health/data/oecd-health-statistics/oecd-health-data-social-protection_data-00544-en\n","http://stats.oecd.org/OECDStat_Metadata/ShowMetadata.ashx?Dataset=HEALTH_PROT&ShowOnWeb=true&Lang=en"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",116,78,"Survival rates cancer","The relative survival rate for (10 different groups of ) cancer; the proportion of patients who survive at least five years after diagnosis, after correction for background mortality. [1) all cancers combined without non-melanoma skin (ICD codes C00-C97), 2) trachea, bronchus or lung (C33-34), 3) breast (C50), 4) colorectal (C18-C21), 5) prostate (C61) , 6) stomach, 7) melanoma, 8) cervical (C53), 9) leukaemias/lymphomas, 10) all childhood cancers (0-14).]","Relative survival rate is calculated as the observed rate of persons diagnosed with cancer surviving five years after diagnosis, divided by expected survival rate in the general population. Age-standardized 5-year relative survival rate is calculated for the following 10 cancer-groups: 1) all cancers combined without non-melanoma skin (ICD codes C00-C97), 2) trachea, bronchus or lung (C33-34), 3) breast (C50),\n4) colorectal (C18-C21), 5) prostate (C61) , 6) stomach, 7) melanoma, 8) cervical (C53), 9) leukaemias/ lymphomas, 10) all childhood cancers (0-14).","High burden diseases. Cancer survival is an indicator of the effectiveness of a country’s health care system in\nthe area of cancer screening, screening/early detection and treatment. The health care system can improve the survival of certain cancers through early detection and appropriate treatment. Monitoring of a larger array of important cancers is important for the overall effectiveness of the system, including prevention.","n/a","Eurocare","• Calendar year\n• Country\n• Region (according to ISARE recommendations; see data availability),\n• Sex (when appropriate).\n• Age group (0-64, 65+)","http://www.eurocare.it/Database/tabid/77/Default.aspx","https://w3.iss.it/site/EU5Results/forms/SA0007.aspx"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",112,79,"30-day in-hospital case-fatality AMI and stroke","OECD indicator: admission-based AMI and ischemic stroke 30 day in-hospital (same hospital) mortality rate. This indicator is defined as the age-sex standardised percentage of people aged 45+ who die within 30 days of being admitted to a hospital in a specified year with principal diagnosis of: a) acute myocardial infarction (AMI) or b) ischemic stroke.","Numerator: the number of deaths in the same hospital that occurred within 30 days of hospital admission with a principal diagnosis of AMI / ischemic stroke in a specified year. Denominator: the number of patients admitted to a hospital with a principal diagnosis of AMI / ischemic stroke in a specified year, including same day admissions. AMI diagnostic codes: ICD-10: I21, I22; ICD-9: 410. Ischemic stroke diagnostic codes: ICD-10: I63-I64; ICD-9: 433, 434, 436. The indicator is age-sex standardised according to 2005 OECD population (45+). Therefore 5-year age specific numerators and denominators are needed, separate for men and women: 45-49, 50-54, .., 85+.","AMI and ischemic stroke are important causes of death in European countries. Also the burden of disease and health care costs are considerable. Adequate and timely treatment can improve survival. This indicator\nmeasures the quality of the treatment of acute exacerbations of chronic cardiovascular diseases in hospitals.","n/a","OECD","• Calendar year\n• Country\n• Sex","http://stats.oecd.org/index.aspx?DataSetCode=HEALTH_STAT","http://stats.oecd.org/index.aspx?DataSetCode=HEALTH_STAT"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",2,80,"Equity of access to health care services","Index of self-declared unmet need for health care services. Defined as the total self-reported unmet need for medical care (medical examination or treatment) for the following three reasons: financial barriers + waiting times + too far to travel.","n/a","The self-reported unmet need for medical examination or treatment is an indicator for equity of access to health care services. It gives insight into the need for medical care and the obstacles that stand in the way\nof the actual use of health care services. As such it can provide useful information on how to overcome the obstacles for use and improve health. The underlying assumption is that the self-reported unmet need\ncorresponds with the actual need for medical care.","% of people who reported that at least once in the previous 12 months they felt they needed medical care and did not receive it either because a) it was too expensive, b) they had to wait or c) it was too far away. Age standardisation: see remarks.","n/a","• Calendar year\n• Country\n• Region (according to ISARE recommendations; see data availability)\n• Sex\n• Age group (18-64, 65 and over)\n• Socio-economic status (educational level. See remarks)","http://ec.europa.eu/eurostat/web/health/health-care/data/database","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_silc_01_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",22,81,"Waiting times for elective surgeries","Average inpatient waiting time for elective (i.e. non-urgent) surgeries of Percutanerous Transluminal Coronary Angioplasty (PTCA), hip replacement and cataract operation, measured in number of days. Elective surgery is defined as when surgery is necessary, but the timing of the procedure can be scheduled and the patient can be sent home.","n/a","Indicator for the accessibility of health care, with focus on elective interventions. Long waiting times can lead to deterioration in health, loss of effectiveness and extra costs. They generate dissatisfaction for the patients\nand among the general public","Topic needs much development. The keys issues are:\n1) Are the 3 procedures currently selected OK and enough? The three procedures were originally selected as examples from those that have best data availability at OECD, and as being similar to the ones measured under the ECHI indicator 73. Surgeries: PTCA, hip, cataract.\n2) There is a choice between concepts of “waiting times of the patients admitted” and “waiting times of the patients on the list at a census date”. Member States measure waiting times in very different ways. The most important distinction is between the ‘waiting times of the patients admitted’ (i.e. recording waiting of all patients at the time of admission for treatment) and the ‘waiting times of the patients on the list at a census date’ (i.e. taking a periodic census of patients on a list and recording waiting up to that date). We propose to take the first one.\n3) The measure of the length of waiting time, mean or median or both? Mean waiting times tend to be systematically higher than median waiting times. We propose to take the median.\n4) There is no regular/sustainable data collection for this indicator topic. Also OECD has not followed up on its earlier pilot data collections.","n/a","n/a","n/a","n/a"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",179,82,"Surgical wound infections","To be developed (see key issues and problems)","Several efforts by ECDC, OECD, WHO, SImPatIE project to define indicator and collect data. However, data availability and comparability is restricted and definitions vary:\n\n1) ECDC:\na) the cumulative incidence of surgical site infections (SSI): which is the crude percentage of operations resulting in a SSI,\nb) the incidence density, which is the number of SSI per 1,000 post-operative days at risk (i.e. without  prior SSI) in the hospital. The incidence density is the preferred measure for the comparison of  incidence between countries as it uses only observations during the hospital stay in both numerator and denominator, and comparisons are therefore less affected by variation in length of post-operative stay\nor intensity of case-finding post-discharge. However, the incidence density can only be calculated when the discharge date is known. Therefore, a third indicator was added in 2008: the cumulative incidence excluding postdischarge infections.\n\n2) WHO: Average rate (in all hospitals) of inpatient surgical operations with postoperative surgical wound infection (i.e. with code for postoperative wound infections, ICD-9: 998.5 and ICD-10: T81.4) during the given calendar year, expressed as percentage of all surgical operations.\n\n3) Safety Improvement for Patients in Europe, SImPatIE recommendation: Percent of patients experiencing a wound infection (ICD-9 998.51 and 998.52; secondary diagnosis only) out of all hospitalised patients. (Indicator PSI 11: Wound Infection)\n\n4) OECD: Assessment by Patient Safety Panel-project: It is unlikely that standardized comparable data to support the indicator of Wound Infection are available consistently across OECD countries. Therefore OECD has given up about five years ago to try to collect data on the indicators surgical wound infections and catheter-related bloodstream infections. In the latter case, the remaining ambiguities in the definition (whether it should include or exclude inflammatory conditions) and more than 100-fold variation between the minimum and maximum values, make this indicator unfit for reporting purposes. In the recent years, OECD has focused their effort more specifically on postoperative sepsis:\n- Numerator: Number of hospital discharges with a sepsis as a secondary diagnosis. The following ICD codes are included:\n- ICD-9-CM: 038.* Septicaemia, 755.5* Septic shock, 998.0 Postoperatice shock\n- ICD-10-WHO: A40.*-A41.* Septicaemia, R57.8 Other schock, T81.1 Procedure shock\n- Denominator: All elective surgical discharges of patients 15 years and older, excluding pre-existing sepsis or infection, immunocompromised state, MDC 14 (pregnancy, childbirth, and puerperium) and a short length of stay.\nData on postoperative sepsis were published in the Health at a Glance 2011 edition for Germany, Denmark, France, Sweden, Belgium, Spain, and Ireland, as well as for a number of non-EU countries (Israel, United States, New Zealand, Australia, Switzerland, and Canada).\n\nIt is yet not clear whether one of the existing data collection initiatives can serve as an appropriate base for gathering in a sustainable way high quality, comparable data, with adequate EU coverage, which can be used by ECHIM in the future.","Indicator for the safety of operative interventions. Wound infection can lead to re-operation and prolonged hospital stay, to increased morbidity and mortality for patients and to increased costs for the health care\nsystem. Amenable to interventions: the incidence of wound infection can be reduced by proper pre-, intraand post-operative care, in particular strict hygiene.","n/a","n.a.","n/a","n/a","n/a"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",20,83,"Cancer treatment delay","To be established, e.g. the average time (in days) between the date of first visit to general practitioner and the date of first treatment, by cancer site (breast, colon and rectal cancer). Time between incidence date and date of first treatment could also be an option.","n/a","Indicator for the quality of cancer care. Indicators on cancer treatment quality are necessary to investigate the determinants of inequalities across Europe in terms of care. Explains part of the differences in cancer survival.","Topic needs much further development. The keys issues are:\n1) Is it appropriate to choose the following cancers: breast, colon and rectal cancer.\n2) Are first visit to general practitioner and first treatment the most appropriate starting and end points to measure treatment delay? For each cancer patient, five (six) dates in his/her patient history can be distinguished: 1) First visit to general practitioner, 2) First request for a clinical/hospital appointment,\n3) First clinical/hospital appointment, 4) Date of definitive diagnosis, 5) Date of first treatment (surgery, systemic therapy or radiotherapy), And for colon and rectal cancers, also 6) Information on elective or emergency surgery. Based on EUROCHIP-2 outcomes, time between first GP visit and first treatment seems the best option. The EUROCHIP-3 project looked into the availability of data for an indicator based on the definition of time between incidence date and date of first treatment (see remarks).\n3)  Data availability?","n/a","n/a","n/a","n/a"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",148,84,"Diabetes control","Proportion of adult diabetics receiving appropriate care, in terms of regular retinal exams.","Topic needs further development. The keys issues are:\n1) The present operationalisation of ‘having an indicator on the quality of diabetes care’ was chosen after OECD experience. We thus have a process indicator. Earlier options like diabetics tested for HbA1c, diabetics with poor glucose control, (major) amputations in diabetics, and stroke or myocardial infarction in diabetic population were not selected by OECD.\n2) What is the most appropriate data source type? Population based surveys (self-reports of diabetes diagnosis and most recent eye exam) are likely to capture diabetics who might not be regularly seeing a physician. However, there may be recall bias as respondents may not accurately be able to remember their last exam. Surveys at clinical sites or a review of patient records exclude diabetics who do not regularly seek medical care. Not many countries routinely survey diabetics, or include such detailed questions in general population surveys.\nObtaining data from patient records can be burdensome. (OECD Health Care Quality Indicators project note)\n3) There is no regular/sustainable data collection for this indicator topic.","Indicator for the quality of diabetes care. Nearly all patients who have type 1 diabetes for about 20 years will have evidence of diabetic retinopathy. Timely treatment and appropriate follow-up care can delay progression and eventual blindness.","n/a","n.a.","n/a","n/a","n/a"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",310,85,"Policies on ETS exposure (Environmental Tobacco Smoke)","The indicator is a composite index summarizing regulations implemented by health (and other) authorities on smoking restrictions in specified (public) domains.","The index is based on data in the WHO tobacco control database. It is computed as the sum of scores of the following seven components:\n1) smoking restrictions in health care facilities\n2) smoking restrictions in education facilities\n3) smoking restrictions in government facilities\n4) smoking restrictions in bars/restaurants\n5) smoking restrictions in indoor workplaces and offices\n6) smoking restrictions in theatres and cinemas\n7) smoking restrictions in public transport (7 items, including bus, taxi, train, domestic air, international air, domestic water, international water)\nFor each component the data allow three levels of scoring: 0- no restriction or prohibition\n1- partial restriction, or voluntary agreement 2- complete ban or prohibition\nComponents 1-3 and 5-6 are given as such in the database.\nFor components 4 and 7, a combination is made, respectively, from separate scores for bars and restaurants, and from the seven types of public transport recorded separately.\nFor component 4: 00 and 01 count as 0; 11, 20 and 21 count as 1; 22 count as 2.\nFor component 7: each subcategory is scored 0-2; compute the sum and subtract the subcategory which is not relevant for the country (e.g. int. water for inland countries); divide the sum by the number of remaining subcategories; round to the nearest integer.\nIn this manner the total score ranges between 0 and 14.","Indicator provides a good index with respect to actual measures aimed at creating smoke free areas. Such policies contribute to lowering ETS exposures and thus lowering health risks.","n/a","WHO -Euro tobacco\ncontrol database","• Calendar year\n• Country","n/a","n/a"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",312,86,"Policies on healthy nutrition","A composite index of laws, regulations and good practices on promoting healthier nutrition.","Topic needs much further development. The keys issues are:\n1) At the moment there is no satisfactory proposal for indicator definition, calculation and data sources.\n2) This indicator should expand beyond “campaigns on healthy lifestyles” to include all aspects of health promotion policy at national, regional and local level, including indicators on policy formulation, implementation, infrastructure development, campaigns and programme sand their evaluation, and funding and workforce development.","Such policies contribute to healthier nutrition and thus lowering of health risks. An important area of activities in health promotion, thus indicators for monitoring these activities should be developed.","n/a","n.a.","n/a","n/a","n/a"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",313,87,"Policies and practices on healthy lifestyles","A composite index of regulations and good practices on promoting healthier nutrition.","Topic needs much further development. The keys issues are:\n1) At the moment there is no satisfactory proposal for indicator definition, calculation and data sources.\n2) The indicators recommended by various (EU co-funded) projects usually include only either alcohol or tobacco related policies. Is that enough? Other possible areas to be added include policies to reduce exposure to sunlight, injuries, suicide. Health promotion activities at the workplace, schools etc. are under indicator 88.\n3) Distinction should be made between comprehensive programmes and single programmes on e.g. smoking, physical activity, nutrition, stress management etc. Comprehensive programmes are considered to be more effective.\n4) The index should contain policy items aimed both at individual behaviour and collective actions, such as building promoting physical activity, taxes and trade regulations, etc.\n5) For pragmatical reasons, we may focus on smoking, alcohol and physical activity in this indicator, since here might be some data. Consult the alcohol programme and other current programmes for this.\n","This is an important area of activities in health promotion. Indicators for monitoring these areas should be developed.","n/a","n.a.","n/a","n/a","n/a"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",314,88,"Integrated programmes in settings, including workplace, schools, hospital","A composite index of integrated programmes for health promotion policy and practice in different settings, including workplace, schools, hospitals, communities, prisons and other key settings for health promotion interventions.","Topic needs much further development. The keys issues are:\n1) At the moment there is no satisfactory proposal for indicator definition, calculation and data sources.\n2) Scope of this indicator? Because we have to restrict for practical reasons, we may consider a focus on settings like neighbourhoods (especially taking SES differences into account), workplaces, schools. But the key issue is whether meaningful data exist on e.g. budgets for certain specified actions, operation of specified procedures, etc.","This is an important area of activities in health promotion -which are not just delivered via lifestyle change strategies alone, but include healthy public policy initiatives. Indicators for monitoring these areas should be developed.","n/a","n.a.","n/a","n/a","n/a"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",244,"10(A)","Life expectancy at birth","Life expectancy at a given age represents the average number of years of life remaining if a group of persons at that age were to experience the mortality rates for a particular year over the course of their remaining life.\nLife expectancy at birth is a summary measure of the age-specific all cause mortality rates in an area in a given period.","Life expectancies are calculated using (abridged) life tables presenting age specific mortality rates. Life\nexpectancy tables are calculated based on death probabilities according to Farr’s death rate method: qx = Mx\n/ (Bx + (Mx/2)) where Mx = the number of deaths at the age of x to under x+1 years in the reported period;\nBx = average population aged x to under x+1 in the base period; qx = death probability from age x to x+1.\nFarr’s method of calculation of abridged life-tables assumes that there is a constant mortality within the age\nintervals and thus the years of life lived by a person dying in the interval is (on average) half of the length of\nthe interval.","Basic indicator for population health. It reflects the cumulative effect of the impact of risk factors, occurrence and severity of disease, and the effectiveness of interventions and treatment.","Number of years","Eurostat","age group (including at birth and at age 65), sex, socio-economic status","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=demo_mlexpec&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/demo_mor_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",244,"10(B)","Life expectancy by educational attainment","Life expectancy at a given age represents the average number of years of life remaining if a group of persons at that age were to experience the mortality rates for a particular year over the course of their remaining life.\nLife expectancy at birth is a summary measure of the age-specific all cause mortality rates in an area in a given period.","Life expectancies are calculated using (abridged) life tables presenting age specific mortality rates. Life\nexpectancy tables are calculated based on death probabilities according to Farr’s death rate method: qx = Mx\n/ (Bx + (Mx/2)) where Mx = the number of deaths at the age of x to under x+1 years in the reported period;\nBx = average population aged x to under x+1 in the base period; qx = death probability from age x to x+1.\nFarr’s method of calculation of abridged life-tables assumes that there is a constant mortality within the age\nintervals and thus the years of life lived by a person dying in the interval is (on average) half of the length of\nthe interval.","Basic indicator for population health. It reflects the cumulative effect of the impact of risk factors, occurrence and severity of disease, and the effectiveness of interventions and treatment.","Number of years","Eurostat","age group (including at birth and at age 65), sex, socio-economic status","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=demo_mlexpec&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/demo_mor_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",281,"21 (A)","Diabetes, self-reported prevalence","Proportion of individuals reporting to have ever been diagnosed with diabetes and to have been affected by\nthis condition during the past 12 months.","Proportion of individuals reporting to have ever been diagnosed with diabetes and to have been affected\nby this condition during the past 12 months, derived from European Health Interview Survey (EHIS)\nquestions HS.4/5/6: HS.4: Do you have or have you ever had any of the following diseases or conditions?\n(11. Diabetes) (yes / no). If yes: HS.5: Was this disease/condition diagnosed by a medical doctor? (yes / no).\nHS.6: Have you had this disease/condition in the past 12 months? (yes / no). EHIS data will not be age\nstandardized.","Diabetes has become one of the most important public health challenges of the 21st century. It is strongly\nassociated with overweight and obesity. Diabetes can be treated and partly prevented. Diabetes is a risk factor for cardiovascular diseases, and complications can result in severe conditions such as foot infections and amputations, blindness and end stage renal disease. Comparisons at international and regional level can serve as benchmark to identify gaps in health care.","Percentage","Eurostat (EHIS) or national HIS","• Country\n• Calendar year\n• Sex\n• Age group (15-64, 65+)\n• Socio-economic status (educational level. ISCED 3 aggregated groups: 0-2; 3+4; 5+6)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_st1&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_det_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",281,"21 (B)","Diabetes, register-based prevalence","Number of individuals that have ever been diagnosed with diabetes and that have been affected by this\ncondition during the past 12 months. Expressed per 100,000 and as percentage of total population.","National best estimate of number of individuals that have ever been diagnosed with diabetes and that have\nbeen affected by this condition during the past 12 months (ICD-10 codes E10-E14; includes both diabetes\nmellitus type 1 and type 2 and other diabetes mellitus). Age standardization should be done for men and\nwomen separately, according to the direct method, using the 1976 WHO European population as standard\npopulation (this is the method applied for the Eurostat diagnosis-specific morbidity statistics; see references\n(document principles and guidelines in CIRCA)).","Diabetes has become one of the most important public health challenges of the 21st century. It is strongly\nassociated with overweight and obesity. Diabetes can be treated and partly prevented. Diabetes is a risk factor for cardiovascular diseases, and complications can result in severe conditions such as foot infections and amputations, blindness and end stage renal disease. Comparisons at international and regional level can serve as benchmark to identify gaps in health care.","n/a","n.a., Eurostat (morbidity strand) or national data","• Country.\n• Calendar year.\n• Sex.\n• Age group:\n- for age standardization data must be collected by 5 year age groups (see calculation)\n- for data presentations it is required to present the following age groups; 15-64, 65+\n• Socio-economic status (see data availability).\n• Region (according to ISARE recommendations; see data availability)","n/a","n/a"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",294,"23 (A)","Depression, self-reported prevalence rate","Proportion of individuals reporting to have ever been diagnosed with chronic depression and to have been\naffected by this condition during the past 12 months.","Proportion of individuals reporting to have ever been diagnosed with chronic depression and to have been\naffected by this condition during the past 12 months, derived from European Health Interview Survey\n(EHIS) questions HS.4/5/6: HS.4: Do you have or have you ever had any of the following diseases or\nconditions? (19. Chronic depression) (yes / no). If yes: HS.5: Was this disease/condition diagnosed by a\nmedical doctor? (yes / no). HS.6: Have you had this disease/condition in the past 12 months? (yes / no).\nEHIS data will not be age standardized.","High-burden disease. Because of the high frequency of mental health problems in our society and the\nimportance of their costs in human, social and economic terms, mental health should be regarded as a\npublic health priority. The Global Burden of Disease study reckons that mental disorders represent four of\nthe ten leading causes of disability worldwide. Depression is a major mental condition that is amenable to\nintervention.","Percentage","Eurostat (EHIS) or national HIS","• Country\n• Calendar year\n• Sex\n• Age group (15-64, 65+)\n• SES (educational level. ISCED 3 aggregated groups: 0-2; 3+4; 5+6)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_st1&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_det_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",294,"23 (B)","Depression, register-based prevalence","Number of individuals that have ever been diagnosed with depression and that have been affected by this condition during the past 12 months. Expressed per 100,000 and as percentage of total population.","National best estimate of number of individuals that have ever been diagnosed with depression and that have\nbeen affected by this condition during the past 12 months (ICD-10 codes F32-F33; depressive episode and\nrecurrent depressive disorder). Age standardization should be done for men and women separately, according\nto the direct method, using the 1976 WHO European population as standard population (this is the method\napplied for the Eurostat diagnosis-specific morbidity statistics; see references (document principles and\nguidelines in CIRCA)).","High-burden disease. Because of the high frequency of mental health problems in our society and the\nimportance of their costs in human, social and economic terms, mental health should be regarded as a\npublic health priority. The Global Burden of Disease study reckons that mental disorders represent four of\nthe ten leading causes of disability worldwide. Depression is a major mental condition that is amenable to\nintervention.","n/a","n.a., Eurostat (morbidity strand) or national data","• Country.\n• Calendar year.\n• Sex.\n• Age group:\n- for age standardization data must be collected by 5 year age groups (see calculation)\n- for data presentations it is required to present the following age groups; 15-64, 65+\n• Socio-economic status (see data availability).\n• Region (according to ISARE recommendations; see data availability)","n/a","n/a"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",286,"26 (A)","Asthma, self-reported prevalence rate","Proportion of individuals reporting to have ever been diagnosed with asthma and to have been affected by this condition during the past 12 months.","Proportion of individuals reporting to have ever been diagnosed with asthma and to have been affected by\nthis condition during the past 12 months, derived from European Health Interview Survey (EHIS) questions\nHS.4/5/6: HS.4: Do you have or have you ever had any of the following diseases or conditions? 1. Asthma\n(allergic asthma included) (yes / no). If yes: HS.5: Was this disease/condition diagnosed by a medical doctor?\n(yes / no). HS.6: Have you had this disease/condition in the past 12 months? (yes / no). EHIS data will not\nbe age standardized.","Asthma is a significant public health problem and a high-burden disease for which prevention is partly\npossible and treatment can be quite effective.","n/a","Eurostat (EHIS) or national HIS","• Country\n• Calendar year\n• Sex\n• Age group (15+)\n• Socio-economic status (educational level. ISCED 3 aggregated groups: 0-2; 3+4; 5+6)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_st1&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_det_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",286,"26 (B)","Asthma, register-based prevalence","Number of individuals that have ever been diagnosed with asthma and that have been affected by this condition during the past 12 months. Expressed per 100,000 and as percentage of total population.","National best estimate of number of individuals that have ever been diagnosed with asthma and that have\nbeen affected by this condition during the past 12 months (ICD-10 codes J45, J46). Age standardization\nshould be done for men and women separately, according to the direct method, using the 1976 WHO\nEuropean population as standard population (this is the method applied for the Eurostat diagnosis-specific\nmorbidity statistics; see references (document principles and guidelines in CIRCA)).","Asthma is a significant public health problem and a high-burden disease for which prevention is partly\npossible and treatment can be quite effective.","n/a","n.a., Eurostat (morbidity strand) or national data","• Country.\n• Calendar year.\n• Sex.\n• Age group:\n- for age standardization data must be collected by 5 year age groups (see calculation)\n- for data presentations it is required to present the following age groups; 0-14, 15+\n• Socio-economic status (see data availability).\n• Region (according to ISARE recommendations; see data availability)","n/a","n/a"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",287,"27 (A)","COPD , self-reported prevalence","Proportion of individuals reporting to have ever been diagnosed with chronic obstructive pulmonary disease (COPD) and to have been affected by this condition during the past 12 months.","Proportion of individuals reporting to have ever been diagnosed with chronic obstructive pulmonary disease\n(COPD) and to have been affected by this condition during the past 12 months, derived from European\nHealth Interview Survey (EHIS) questions HS.4/5/6: HS.4: Do you have or have you ever had any of the\nfollowing diseases or conditions? 2. Chronic bronchitis, chronic obstructive pulmonary disease, emphysema\n(yes / no). If yes: HS.5: Was this disease/condition diagnosed by a medical doctor? (yes / no). HS.6: Have\nyou had this disease/condition in the past 12 months? (yes / no). EHIS data will not be age standardized.","COPD is a high-burden disease causing disability and impairing quality of life, as well as generating high\ncosts. COPD is among the leading causes of chronic morbidity and mortality in the EU. Prevention is partly\npossible and treatment can be quite effective. Smoking is the major risk factor for COPD.","n/a","Eurostat (EHIS) or national HIS","• Country\n• Calendar year\n• Sex\n• Age group (15-64, 65+)\n• Socio-economic status (educational level. ISCED 3 aggregated groups: 0-2; 3+4; 5+6)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_st1&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_det_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",287,"27 (B)","COPD, register-based prevalence rate","Number of individuals that have ever been diagnosed with chronic obstructive pulmonary disease and that\nhave been affected by this condition during the past 12 months. Expressed per 100,000 and as percentage of\ntotal population.","National best estimate of number of individuals that have ever been diagnosed with chronic lower respiratory\ndiseases other than asthma, including COPD, and that have been affected by this condition during the past\n12 months (ICD-10 codes J40-J44; includes chronic bronchitis, emphysema and other chronic obstructive\npulmonary disease (COPD)). Age standardization should be done for men and women separately, according\nto the direct method, using the 1976 WHO European population as standard population (this is the method\napplied for the Eurostat diagnosis-specific morbidity statistics; see references (document principles and\nguidelines in CIRCA)).","COPD is a high-burden disease causing disability and impairing quality of life, as well as generating high\ncosts. COPD is among the leading causes of chronic morbidity and mortality in the EU. Prevention is partly\npossible and treatment can be quite effective. Smoking is the major risk factor for COPD.","n/a","n.a., Eurostat (morbidity strand) or national data","• Country.\n• Calendar year.\n• Sex.\n• Age group:\n- for age standardization data must be collected by 5 year age groups (see calculation)\n- for data presentations it is required to present the following age groups; 15-64, 65+\n• Socio-economic status (see data availability).\n• Region (according to ISARE recommendations; see data availability)","n/a","n/a"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",289,"29 (A)","Injuries: home/leisure, self-reported incidence rate","1) Proportion of individuals reporting to have had an accident at home, during leisure activities, and/or at\nschool during the past 12 months, which resulted in injury.\n2) Proportion of individuals reporting to have had an accident at home, during leisure activities, and/or at\nschool during the past 12 months, which resulted in injury for which medical treatment was sought.","1) Proportion of individuals reporting to have had a home and leisure accident during the past 12 months, derived from EHIS question HS.7: In the past 12 months, have you had any of the following type\nof accidents resulting in injury (external or internal)? 3. Accident at school, and 4. Home and leisure accident (yes / no). Respondents answering yes to either or both of the above mentioned HS7 answering categories should be added.\n2) Proportion of individuals reporting to have had a home and leisure accident during the past 12 months, derived from EHIS: question HS.7 and HS.8: HS.7 In the past 12 months, have you had any of the following type of accidents resulting in injury (external or internal)? 3. Accident at school, and 4. Home and leisure accident (yes / no). Respondents answering yes to either or both of the above mentioned HS7 answering categories should be added, and from these respondents the ones answering positively to HS.8 should be extracted; HS.8: Did you visit a doctor, a nurse or an emergency department of a hospital as\na result of this accident? (Yes, I visited a doctor or nurse / Yes, I went to an emergency department / No consultation or intervention was necessary).\nEHIS data will not be age standardized.","Annually, in the EU more than 60 million people receive medical treatment for an injury, from which\nan estimated 7 million are admitted to hospital. Two-thirds of all injuries occur in home and leisure\nenvironments - a trend that is on the increase across Europe. Detailed injury data (in particular on external\ncircumstances as activities, settings, products involved) makes it possible to develop prevention measures,\nmonitor injury trends, prioritise issues, guide policies and evaluate the success of interventions designed to\nreduce injuries.","n/a","Eurostat (EHIS) or national HIS","• Country\n• Calendar year\n• Sex\n• Age group (15-24; 25-64; 65+)\n• Socio-economic status (educational level. ISCED 3 aggregated groups: 0-2; 3+4; 5+6)\n• Region (according to ISARE recommendations; see data availability)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_st2&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_det_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",289,"29 (B)","Injuries: home/leisure, register-based incidence","Number of accidents at home and/or during leisure activities during the past 12 months, resulting in an\ninjury that required treatment in a hospital, expressed per 100,000.","Crude incidence rate according to the Injury Database (IDB) methodology (see remarks for more information on IDB). Numerator: occurrence of hospital treated home/leisure injuries (inpatient and outpatient-treatments, excluding “deceased”) in a given calendar year, projected to the resident population based on national Hospital Discharge (HD) register. Denominator: Resident population. If there is no national HD register available, the projection is done based on the HD statistics of the IDB hospital with   the aggregated catchment population of this hospital as provided by the national IDB data administrator. In IDB the incidence rates are expressed per 1,000 inhabitants; ECHIM expresses them per 100,000 to enhance comparability with other morbidity and mortality indicators in the ECHI shortlist.","Annually, in the EU more than 60 million people receive medical treatment for an injury, from which\nan estimated 7 million are admitted to hospital. Two-thirds of all injuries occur in home and leisure\nenvironments - a trend that is on the increase across Europe. Detailed injury data (in particular on external\ncircumstances as activities, settings, products involved) makes it possible to develop prevention measures,\nmonitor injury trends, prioritise issues, guide policies and evaluate the success of interventions designed to\nreduce injuries.","n/a","IDB or national data","- Country.\n- Calendar year.\n- Sex.\n- Age group (Data are collected in IDB by 5 year age groups (see data availability). For data presentation purposes, ECHIM recommends the use of the following aggregated age groups: 0-14, 15-24; 25-64; 65+).\n- SES (see data availability).\n- Region (according to ISARE recommendations; see data availability)","n/a","n/a"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",290,"30 (A)","Injuries: road traffic, self-reported incidence","1) Proportion of individuals reporting to have had a road traffic accident, which resulted in injury during\nthe past 12 months.\n2) Proportion of individuals reporting to have had a road traffic accident, which resulted in injury for\nwhich medical treatment was sought during the past 12 months.","1) Proportion of individuals reporting to have had a road traffic accident during the past 12 months, derived from EHIS question HS.7: In the past 12 months, have you had any of the following type of accidents resulting in injury (external or internal)? 1. Road traffic accident (yes / no).\n2) Proportion of individuals reporting to have had a road traffic accident during the past 12 months, derived from EHIS: question HS.7 and HS.8: HS.7 In the past 12 months, have you had any of the following type of accidents resulting in injury (external or internal)? 1. Road traffic accident (yes / no). If yes, select respondents who answered positively to HS.8; HS.8: Did you visit a doctor, a nurse or an emergency department of a hospital as a result of this accident? (Yes, I visited a doctor or nurse / Yes, I went to an emergency department / No consultation or intervention was necessary).\nEHIS data will not be age standardized.","The EU IDB estimates that road injuries account for 10% of all hospital treated injuries or a total of\n4.3 million victims annually. Though preventive measures have been proven effective, resulting in declining\nincidence rates, large health gains can still be achieved and inequalities between Member States can still be\ndiminished.","n/a","Eurostat (EHIS) or national HIS","• Country\n• Calendar year\n• Sex\n• Age group (15-24; 25-64; 65+)\n• Socio-economic status (educational level. ISCED 3 aggregated groups: 0-2; 3+4; 5+6)\n• Region (according to ISARE recommendations; see data availability)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_st2&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_det_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",290,"30 (B)","Injuries: road traffic, register-based incidence rate","Number of non-fatal injuries caused by a road traffic accident, per 100,000 inhabitants.","According to UNECE methodology (see preferred source and remarks), ‘injured’ is defined as any person, who was not killed, but sustained one or more serious or slight injuries as a result of the accident.","The EU IDB estimates that road injuries account for 10% of all hospital treated injuries or a total of\n4.3 million victims annually. Though preventive measures have been proven effective, resulting in declining\nincidence rates, large health gains can still be achieved and inequalities between Member States can still be\ndiminished.","n/a","UN ECE or national data","• Country\n• Calendar year\n• Sex (see data availability)\n• Age group (0-14, 15-24, 25-64, 65+)\n• Socio-economic status (see data availability)\n• Region (according to ISARE recommendations; see data availability)","n/a","n/a"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",246,"40(A)","Health Expectancy: Healthy Life Years (HLY) at birth","Expected remaining years lived from a particular age without long-term activity limitation. This is the Structural Indicator named ‘Healthy Life Years’ (HLY).","HLY is computed as the life expectancy from which the expected number of years lived with long-term activity limitations is subtracted. It is calculated by the Sullivan method based on life table data and age- specific period prevalence data on long-term activity limitations (according to the Euro-REVES General Activity Limitation Indicator (GALI)). For more information on long-term activity limitations see Documentation Sheet 35.","Health Expectancies extend the concept of life expectancy to morbidity and disability in order to assess the\nquality of years lived. It is a summary measure of population health (SMPH) that takes into account both\nmortality and disability, providing more information on burden of poor health in the population than life\nexpectancy alone. Monitoring time trend of life expectancy and healthy life years together allows assessing\nwhether years of life gained are healthy years or not.","Number of years","Eurostat (EU-SILC & mortality data)","• Calendar year\n• Country\n• Region (according to ISARE recommendations).\n• Sex\n• Age group (at birth and at age 65).\n• Socio-economic status (see availability and remarks)\n","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_hlye&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_hlye_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",246,"40(B)","Health Expectancy : Healthy Life Years (HLY) at 65","Expected remaining years lived from a particular age without long-term activity limitation. This is the Structural Indicator named ‘Healthy Life Years’ (HLY).","HLY is computed as the life expectancy from which the expected number of years lived with long-term activity limitations is subtracted. It is calculated by the Sullivan method based on life table data and age- specific period prevalence data on long-term activity limitations (according to the Euro-REVES General Activity Limitation Indicator (GALI)). For more information on long-term activity limitations see Documentation Sheet 35. National demographic and mortality statistics provide age-specific mortality and life tables. Morbidity data, i.e. on activity limitations, comes from surveys carried out by Eurostat. For the period 1995-2001, the Eurostat survey 'European Community Household Panel (ECHP)' was used and extrapolations were estimated for 2002 and 2003. Since 2004, Eurostat has been using the European Statistics of Income and Living Condition (EU-SILC) survey to calculate the HLY. This break in series, caused by the change of the data source for calculating the prevalence of disability, limits the comparability between data before and after 2004. This is why data on HLY is presented into two different sets in the Heidi data tool.","Health Expectancies extend the concept of life expectancy to morbidity and disability in order to assess the\nquality of years lived. It is a summary measure of population health (SMPH) that takes into account both\nmortality and disability, providing more information on burden of poor health in the population than life\nexpectancy alone. Monitoring time trend of life expectancy and healthy life years together allows assessing\nwhether years of life gained are healthy years or not.","Number of years","Eurostat (EU-SILC & mortality data)","• Calendar year\n• Country\n• Region (according to ISARE recommendations).\n• Sex\n• Age group (at birth and at age 65).\n• Socio-economic status (see availability and remarks)\n","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_hlye_h&lang=en","http://epp.eurostat.ec.europa.eu/cache/ITY_SDDS/EN/hlth_hlye_h_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",301,"46(A)","Total (recorded) alcohol consumption","Total alcohol consumption is defined as the total (recorded + unrecorded) amount of alcohol consumed per adult (15+ years) over a calendar year, in litres of pure alcohol or total Adult Per Capita (Total APC). Recorded alcohol consumption refers to official statistics (production, import, export, and sales or taxation data), while the unrecorded alcohol consumption refers to alcohol which is not taxed and is outside the usual system of governmental control. In circumstances in which the number of tourists per year is at least the number of inhabitants, the tourist consumption is also taken into account and is deducted from the country s recorded APC.","Total APC is defined as the total amount of alcohol consumed per adult (15+ years) over a calendar year, in litres of pure alcohol. Recorded alcohol consumption refers to official statistics (production, import, export, and sales or taxation data), while the unrecorded alcohol consumption refers to alcohol which is not taxed and is outside the usual system of governmental control. In circumstances in which the number of tourists per year is at least the number of inhabitants, the tourist consumption is also taken into account and is deducted from the country’s recorded APC (calculation as applied in GISAH database; see references. Also see remarks for more details on the estimation methods for recorded and unrecorded consumption).","Harmful use of alcohol is related to many diseases and health conditions, including chronic diseases such as alcohol dependence, cancer and liver cirrhosis, and acute health problems such as injuries. The level of per\ncapita consumption of alcohol across the population aged 15 years and older is one of the key indicators for\nmonitoring the magnitude of alcohol consumption in the population and likely trends in alcohol-related problems. Reducing alcohol related harm is one of the major policy goals of the European Commission.","Values","WHO (Global Information System\non Alcohol and Health (GISAH))","• Calendar year\n• Country","http://apps.who.int/gho/data/node.main.A1022?lang=en?showonly=GISAH","http://apps.who.int/gho/indicatorregistry/App_Main/view_indicator.aspx?iid=465"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",301,"46(B)","Total (recorded) alcohol consumption","Total (recorded + unrecorded) adult (15+ years) per capita consumption.","n/a","Harmful use of alcohol is related to many diseases and health conditions, including chronic diseases such as alcohol dependence, cancer and liver cirrhosis, and acute health problems such as injuries. The level of per\ncapita consumption of alcohol across the population aged 15 years and older is one of the key indicators for\nmonitoring the magnitude of alcohol consumption in the population and likely trends in alcohol-related problems. Reducing alcohol related harm is one of the major policy goals of the European Commission.","Values","WHO (Global Information System\non Alcohol and Health (GISAH))","n/a","http://apps.who.int/gho/data/node.main.A1022?lang=en?showonly=GISAH","http://apps.who.int/gho/indicatorregistry/App_Main/view_indicator.aspx?iid=462"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",32,"63/64","European health indicator on other health professionals","The indicator on practising dentists gives the total number of practising dentists per 100,000 inhabitants.","nA","n/a","n/a","n/a","working status: practising, professionally active or licensed to practice; ","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_rs_prs1&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_res_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",75,"77 (A)","Expenditures on health care as percentage of GDP","Current and total national health expenditure for total, public, and private sectors, as percentage of gross domestic product (GDP). \nEurostat, the OECD (Organisation for Economic Co-Operation and Development) and WHO (World Health Organisation) have been cooperating since 2005 to create a common data collection on health expenditure. The main results of this cooperation are the International Classification for Health Accounts (ICHA), a Joint Questionnaire on Health Expenditure, and the manuals A System of Health Accounts (SHA) .\nAccording to the common classification adopted by the three organizations, health can be divided by functions of health care (HC) and health care-related (HCR) items. They define the Current Health care Expenditure (CHE) as the sum (HC1-9) of expenditure on activities of services of curative care (HC1), services of rehabilitative care (HC2), services of long-term nursing care (HC3), ancillary services to health care (HC4), medical goods dispensed to out-patients (HC5), prevention and public health services (HC6), health administration and health insurance (HC7) and other care not specified by kind (HC9). They further define the total health care expenditure (HC1-9_R1) as the CHE plus the capital formation of health care provider institutions (HCR1).\nMoreover the data on health expenditure gives harmonized information on the health care financing agents (HF) and provides a breakdown by public or private sector. Data is presented for all financing agents (HF1-3), general government (HF1), or private sector (HF2). HF3 Rest of the world is considered as financing agent when the service is provided for free to the resident by foreigners but accounts as insignificant.\nThe health expenditure indicators present Eurostat data on Current Health care Expenditure (CHE) and the total health care expenditure expressed as percentage of Gross Domestic Product (GDP) by public, private or both sectors (total). Annual data covers most of the EU Member States and include Iceland, Norway, Switzerland and some non-European countries. Health expenditure data is also broken down by health care providers (HP) and is available in many different units.\nThe Expenditures on health care indicator belongs to the portfolio of health indicators for monitoring the European Strategy for social inclusion and social protection.\nTogether with external, biological and environmental factors, the provision of health care goods and services and its financing within a country?s health care system is perceived as a main determinant of health. Health care expenditure is an indicator for long-term sustainability of health care systems. ","According to System of Health Accounts (SHA) and the related International Classification for the Health Accounts (ICHA). Current expenditure on health care measures/describes financial means/ flows associated with (the consumption of) health care goods and services including governance and administration of health care system at large. Total expenditures also include investments (capital formation of health care providers). ICHA-HF Health financing agents: HF1 = General government and HF2 = Private sector. For GDP the national GDP in euro as available in the Eurostat database is used. The calculation of Purchasing Power Parities (PPP)/PPS is based on the prices for a standard basket of goods. For more details on the computation of PPP/PPS see Eurostat’s metadata on Purchasing power parities (see references).","Next to external, biological and environmental factors, the provision of health care goods and services and\nits financing within country’s health care system is perceived as a main determinant of health. Health care expenditure is an indicator for long-term sustainability of health care systems.","n/a","Eurostat","• Calendar year\n• Country","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_sha2p&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_sha_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",75,"77 (A)","Total health care expenditure by public sector, as percentage of GDP",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",75,"77 (A)","Total health care expenditure by private sector, as percentage of GDP ",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",76,"77 (A)","Current health care expenditure by public sector, as percentage of GDP","They define the Current Health care Expenditure (CHE) as the sum (HC1-9) of expenditure on activities of services of curative care (HC1), services of rehabilitative care (HC2), services of long-term nursing care (HC3), ancillary services to health care (HC4), medical goods dispensed to out-patients (HC5), prevention and public health services (HC6), health administration and health insurance (HC7) and other care not specified by kind (HC9).","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",76,"77 (A)","Current health care expenditure by private sector, as percentage of GDP","They define the Current Health care Expenditure (CHE) as the sum (HC1-9) of expenditure on activities of services of curative care (HC1), services of rehabilitative care (HC2), services of long-term nursing care (HC3), ancillary services to health care (HC4), medical goods dispensed to out-patients (HC5), prevention and public health services (HC6), health administration and health insurance (HC7) and other care not specified by kind (HC9).","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",75,"77 (B)","Expenditures on health care in millions of Purchasing Power Standard (PPS)","Current and total national health expenditure for total, public, and private sectors expressed in millions of Purchasing Power Standard (PPS).","n/a","n/a","n/a","Eurostat","n/a","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_sha2m&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_sha_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",75,"77 (B)","Total health care expenditure by all financing agents (total), in millions of PPS ",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",75,"77 (B)","Total health care expenditure by public sector, in millions of PPS",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",75,"77 (B)","Total health care expenditure by private sector, in millions of PPS",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",76,"77 (B)","Current health care expenditure by all financing agents (total), in millions of PPS ",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",76,"77 (B)","Current health care expenditure by public sector, in millions of PPS",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",76,"77 (B)","Current health care expenditure by private sector, in millions of PPS",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",4,"80(A)","European health indicator on equity of access to dental care services","the percentage of people who self-reported an unmet need for dental care (dental examination or treatment) in the previous 12 months for the following three reasons: financial barriers, waiting times and/or long distances. ","n/a","The self-reported unmet need for medical examination or treatment is an indicator for equity of access to health care services. It gives insight into the need for medical care and the obstacles that stand in the way\nof the actual use of health care services. As such it can provide useful information on how to overcome the obstacles for use and improve health. The underlying assumption is that the self-reported unmet need\ncorresponds with the actual need for medical care.","n/a","n/a","n/a","http://ec.europa.eu/eurostat/web/health/health-care/data/database","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_silc_01_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",354,"9 (A)","Population below poverty line","3) Population at risk of poverty: the share of persons with an income below the poverty line.","1) Percentage of persons in the total population with an equivalised disposable income below the\n“national poverty line” (i.e. below 60% of the national median equivalised disposable income). Total\npopulation is all persons living in private household on the national territory. Total disposable income\nof a household is calculated by adding together the personal income received by all of the household\nmembers, plus income received at household level. Disposable household income includes all income\nfrom work, private income from investment en property, transfers between households and all social\ntransfers received in cash including old-age pensions (see remarks for more detailed definition). Personal\nequivalised income is obtained by dividing the total household disposable income by the equivalised\nsize of the household, using modified OECD scale: 1 for the first person aged 14 or more; 0.5 for any\nsubsequent person aged 14 or more; and 0.3 for persons aged less then 14.","Important indicator for social inclusion. Economic deprivation can have a negative effect on health and wellbeing. Children are especially vulnerable.","Percentage","Eurostat (EU-SILC)","gender, age","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=ilc_peps01&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/ilc_esms.htm"]
["A","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",null,"9 (B","Income inequality","4) Income inequality: the ratio of total income received by 20% of the country’s population with the highest income to that received by 20% of the country’s population with the lowest income.","2) Income inequality is calculated as the ratio of the sum of equivalised disposable income received by\nthe 20% of the country’s population with the highest equivalised disposable income (top inter-quintile\ninterval) to that received by the 20% of the country’s population with the lowest equivalised disposable\nincome (lowest inter-quintile interval).","Important indicator for social inclusion. Economic deprivation can have a negative effect on health and wellbeing. Children are especially vulnerable.","Ratio","Eurostat (EU-SILC)","gender, age","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=ilc_di11&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/ilc_esms.htm"]
["A","10_European Commission (2011). Commission Staff Working Document on EU indicators in the field of youth. SEC(2011) 401 final.  Retrieved from http://ec.europa.eu/youth/library/publications/indicator-dashboard_en.pdf\nEuropean Commission (2015). Youth monitor - European Commission.   Retrieved from http://ec.europa.eu/youth/dashboard/index_en.htm",305,"L-2","Obesity","Young people 18-24 with a Body Mass Index of 30 or above.","n/a","n/a","n/a","Eurostat (EHIS)","(total population 15+, 15- 24, men, women, income quintile gap q1/q5)","n/a","n/a"]
["A","10_European Commission (2011). Commission Staff Working Document on EU indicators in the field of youth. SEC(2011) 401 final.  Retrieved from http://ec.europa.eu/youth/library/publications/indicator-dashboard_en.pdf\nEuropean Commission (2015). Youth monitor - European Commission.   Retrieved from http://ec.europa.eu/youth/dashboard/index_en.htm",2,null,"Self-reported unmet need for medical care for young people (18-24)","Self-reporting unmet need for medical care for the following 3 reasons: financial barriers + too far to travel + waiting times.","n/a","Social inclusion","n/a","Eurostat (EU-SILC)","n/a","n/a","n/a"]
["A","10_European Commission (2011). Commission Staff Working Document on EU indicators in the field of youth. SEC(2011) 401 final.  Retrieved from http://ec.europa.eu/youth/library/publications/indicator-dashboard_en.pdf\nEuropean Commission (2015). Youth monitor - European Commission.   Retrieved from http://ec.europa.eu/youth/dashboard/index_en.htm",264,null,"Suicide death rate, by age group","Deaths caused by suicide per 100 000 inhabitants aged 15-24","n/a","n/a","n/a","n/a","Health and health inequalities","n/a","http://ec.europa.eu/eurostat/cache/metadata/DE/tsdph240_esmsip.htm"]
["A","10_European Commission (2011). Commission Staff Working Document on EU indicators in the field of youth. SEC(2011) 401 final.  Retrieved from http://ec.europa.eu/youth/library/publications/indicator-dashboard_en.pdf\nEuropean Commission (2015). Youth monitor - European Commission.   Retrieved from http://ec.europa.eu/youth/dashboard/index_en.htm",290,null,"Injuries: road traffic, self-reported incidence","Proportion of individuals aged 15-24 reporting to have had a road traffic accident, which resulted in injury for which medical treatment was sought during the past 12 months","1) Proportion of individuals reporting to have had a road traffic accident during the past 12 months, derived from EHIS question HS.7: In the past 12 months, have you had any of the following type of accidents resulting in injury (external or internal)? 1. Road traffic accident (yes / no).\n2) Proportion of individuals reporting to have had a road traffic accident during the past 12 months, derived from EHIS: question HS.7 and HS.8: HS.7 In the past 12 months, have you had any of the following type of accidents resulting in injury (external or internal)? 1. Road traffic accident (yes / no). If yes, select respondents who answered positively to HS.8; HS.8: Did you visit a doctor, a nurse or an emergency department of a hospital as a result of this accident? (Yes, I visited a doctor or nurse / Yes, I went to an emergency department / No consultation or intervention was necessary).\nEHIS data will not be age standardized.","The EU IDB estimates that road injuries account for 10% of all hospital treated injuries or a total of\n4.3 million victims annually. Though preventive measures have been proven effective, resulting in declining\nincidence rates, large health gains can still be achieved and inequalities between Member States can still be\ndiminished.","n/a","Eurostat (EHIS) or national HIS","• Country\n• Calendar year\n• Sex\n• Age group (15-24; 25-64; 65+)\n• Socio-economic status (educational level. ISCED 3 aggregated groups: 0-2; 3+4; 5+6)\n• Region (according to ISARE recommendations; see data availability)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_st2&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_det_esms.htm"]
["A","10_European Commission (2011). Commission Staff Working Document on EU indicators in the field of youth. SEC(2011) 401 final.  Retrieved from http://ec.europa.eu/youth/library/publications/indicator-dashboard_en.pdf\nEuropean Commission (2015). Youth monitor - European Commission.   Retrieved from http://ec.europa.eu/youth/dashboard/index_en.htm",293,null,"Psychological distress","To be developed, e.g. occurrence and extent of psychological distress during past month.","Topic needs further development:\n• In the European Health Interview Survey (EHIS) wave I, variables for computing psychological distress were gathered by means of the Mental Health Index (MHI-5) scale of the RAND Short Form 36. Though this is a well-validated instrument in Western countries, problems were encountered with its application in Eastern European countries. Based on these experiences, the plan for EHIS wave II is to drop the MHI-5 scale from the questionnaire and to not replace it with an alternative for measuring generic mental health.\n• What instrument should we use for gathering data on psychological distress in Europe, now that the MHI-5 has proven inadequate in practice?\n• What data source to use now that EHIS will no longer provide data?","Psychological distress is associated with high use of health services and decreased level of functioning. It\nis also predictor of mortality. Promotion and prevention activities may decrease the level of psychological\ndistress.","n/a","n.a.","n/a","n/a","n/a"]
["A","10_European Commission (2011). Commission Staff Working Document on EU indicators in the field of youth. SEC(2011) 401 final.  Retrieved from http://ec.europa.eu/youth/library/publications/indicator-dashboard_en.pdf\nEuropean Commission (2015). Youth monitor - European Commission.   Retrieved from http://ec.europa.eu/youth/dashboard/index_en.htm",299,null,"Regular smokers","Share of daily cigarette smokers in the population aged 15-24.","Percentage of respondents answering reporting to smoke cigarettes daily derived from EHIS questions SK.1 and SK.2; SK.1: Do you smoke at all nowadays? 1. Yes, daily; 2. Yes, occasionally; 3. Not at all. SK.2: What tobacco product do you smoke each day? 1. Manufactured cigarettes; 2. Hand-rolled cigarettes; 3. Cigars; 4. Pipefuls of tobacco; 5. Other. For the calculation of this indicator the answering categories “yes, daily” for EHIS question SK.1 should be combined with answering categories “manufactured cigarettes” and/or “hand- rolled cigarettes” for EHIS question SK2. EHIS data will not be age standardized.","Tobacco use is one of the leading preventable causes of death and disease in our society. It is a major risk factor for diseases of the heart and blood vessels, chronic bronchitis and emphysema, cancers of the lung and other diseases. Passive smoking is also an important public health problem. Smoking is a modifiable lifestyle risk factor; effective tobacco control measures can reduce the occurrence of smoking in the population.","Percentage","Eurostat (EHIS) or national HIS","• Calendar year\n• Country\n• Sex\n• Age group (15-24; 25-64; 65+)\n• Socio-economic status (educational level. ISCED 3 aggregated groups: 0-2; 3+4; 5+6)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_de3&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_det_esms.htm"]
["A","10_European Commission (2011). Commission Staff Working Document on EU indicators in the field of youth. SEC(2011) 401 final.  Retrieved from http://ec.europa.eu/youth/library/publications/indicator-dashboard_en.pdf\nEuropean Commission (2015). Youth monitor - European Commission.   Retrieved from http://ec.europa.eu/youth/dashboard/index_en.htm",301,null,"Alcohol use past 30 days","Share of target group who answered affirmatively to a question asking if they had had any alcoholic beverage to drink in the last 30 days.","Total APC is defined as the total amount of alcohol consumed per adult (15+ years) over a calendar year, in litres of pure alcohol. Recorded alcohol consumption refers to official statistics (production, import, export, and sales or taxation data), while the unrecorded alcohol consumption refers to alcohol which is not taxed and is outside the usual system of governmental control. In circumstances in which the number of tourists per year is at least the number of inhabitants, the tourist consumption is also taken into account and is deducted from the country’s recorded APC (calculation as applied in GISAH database; see references. Also see remarks for more details on the estimation methods for recorded and unrecorded consumption).","Harmful use of alcohol is related to many diseases and health conditions, including chronic diseases such as alcohol dependence, cancer and liver cirrhosis, and acute health problems such as injuries. The level of per\ncapita consumption of alcohol across the population aged 15 years and older is one of the key indicators for\nmonitoring the magnitude of alcohol consumption in the population and likely trends in alcohol-related problems. Reducing alcohol related harm is one of the major policy goals of the European Commission.","Values","WHO (Global Information System\non Alcohol and Health (GISAH))","• Calendar year\n• Country","http://apps.who.int/gho/data/node.main.A1022?lang=en?showonly=GISAH","http://apps.who.int/gho/indicatorregistry/App_Main/view_indicator.aspx?iid=465"]
["A","10_European Commission (2011). Commission Staff Working Document on EU indicators in the field of youth. SEC(2011) 401 final.  Retrieved from http://ec.europa.eu/youth/library/publications/indicator-dashboard_en.pdf\nEuropean Commission (2015). Youth monitor - European Commission.   Retrieved from http://ec.europa.eu/youth/dashboard/index_en.htm",null,null,"Young people not in employment, education or training (NEET)","Young people (age group (15-24) not in employment, nor in any education or training.","n/a","Social inclusion","n/a","Eurostat (EU-SILC)","n/a","n/a","n/a"]
["A","10_European Commission (2011). Commission Staff Working Document on EU indicators in the field of youth. SEC(2011) 401 final.  Retrieved from http://ec.europa.eu/youth/library/publications/indicator-dashboard_en.pdf\nEuropean Commission (2015). Youth monitor - European Commission.   Retrieved from http://ec.europa.eu/youth/dashboard/index_en.htm",352,null,"Living in households with very low work intensity by children (<18y), young people (18-24) and the gap between total population","People living in households with very low work intensity are people aged 0-59 living in households where adults worked less than 20 % of their total work potential during the past year.","n/a","Social inclusion","n/a","Eurostat (EU-SILC)","n/a","n/a","n/a"]
["A","10_European Commission (2011). Commission Staff Working Document on EU indicators in the field of youth. SEC(2011) 401 final.  Retrieved from http://ec.europa.eu/youth/library/publications/indicator-dashboard_en.pdf\nEuropean Commission (2015). Youth monitor - European Commission.   Retrieved from http://ec.europa.eu/youth/dashboard/index_en.htm",354,null,"At risk of poverty or social exclusion rate by children (<18y), young people (18-24) and the gap between total population","Share of children or young people who are at risk of poverty and/or severely materially deprived and/or living in a household with very low work intensity (see further definitions below).\nThe gap between children or young people and total population (in percentage points) who are at risk of poverty and/or severely materially deprived and/or living in a household with very low work intensity.","n/a","Social inclusion","n/a","Eurostat (EU-SILC)","n/a","n/a","n/a"]
["A","10_European Commission (2011). Commission Staff Working Document on EU indicators in the field of youth. SEC(2011) 401 final.  Retrieved from http://ec.europa.eu/youth/library/publications/indicator-dashboard_en.pdf\nEuropean Commission (2015). Youth monitor - European Commission.   Retrieved from http://ec.europa.eu/youth/dashboard/index_en.htm",354,null,"At-risk-of-poverty rate for children (<18y) and gap between total population","The share of children (under age 18) living in families with an equivalised disposable income below 60 % of the national median equivalised disposable income (after social transfers). \nThe gap between children and total population (in percentage points) regarding living in families with an equivalised disposable income below 60 % of the national median equivalised disposable income (after social transfers).","n/a","Social inclusion","n/a","Eurostat (EU-SILC)","n/a","n/a","n/a"]
["A","10_European Commission (2011). Commission Staff Working Document on EU indicators in the field of youth. SEC(2011) 401 final.  Retrieved from http://ec.europa.eu/youth/library/publications/indicator-dashboard_en.pdf\nEuropean Commission (2015). Youth monitor - European Commission.   Retrieved from http://ec.europa.eu/youth/dashboard/index_en.htm",354,null,"Severe Material deprivation rate by children (<18y), young people (18-24) and the gap between total population","percentage of the population that cannot afford at least four of the following nine items: 1) to pay their rent, mortgage or utility bills; 2) to keep their home adequately warm; 3) to face unexpected expenses; 4) to eat meat or proteins regularly; 5) to go on holiday; or cannot afford to buy a: 6) TV 7) Refrigerator, 8) Car, 9) Telephone.","n/a","Social inclusion","n/a","Eurostat (EU-SILC)","n/a","n/a","n/a"]
["A","11_EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",1,"nA","government/social insurance coverage ","Percentage of population covered (entitled to whole benefits package, public funded)","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","11_EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",1,"nA","Benefits package","description  of  the  benefits  included  in  the  public  services (accessible to the majority of the population): prevention, promotion, treatment, rehabilitation, palliative services. Primary health care, hospital care, emergency services, ambulances, pharmaceuticals, etc… Or, perhaps easier: Services explicitly excluded.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","11_EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",2,"nA","Unmet need for treatment","self-reported unmet needs for medical examination for reasons of barriers of access (too expensive, too far to travel, or waiting lists). ","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","11_EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",22,"nA","Waiting Times, Waiting Lists in different parts of the health system",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","11_EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",75,"nA","% of Public Health Expenditure related to GDP",null,"n/a","n/a","n/a","Eurostat","n/a","n/a","n/a"]
["A","11_EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",78,"nA","Public health care expenditure as % of total health expenditure",null,"n/a","n/a","n/a","Eurostat","n/a","n/a","n/a"]
["A","11_EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",100,"nA","Vaccination coverage",null,"n/a","n/a","n/a","Eurostat","n/a","n/a","n/a"]
["A","11_EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",122,"nA","Avoidable admissions","uncontrolled diabetes hospital admission rates.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","11_EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",197,"nA","Responsiveness - Self perceived acceptability of Health Systems","measuring  the  opinion  of  the population regarding the performance of health systems","n/a","n/a","n/a",999,"n/a","n/a","n/a"]
["A","11_EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",197,"nA","Responsiveness - Self perceived acceptability of Health Care Processes","measuring the opinion of the population regarding their personal experience when using health services.","n/a","n/a","n/a",999,"n/a","n/a","n/a"]
["A","11_EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",244,"nA","Life Expectancy at Birth",null,"n/a","n/a","n/a","Eurostat","n/a","n/a","n/a"]
["A","11_EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",246,"nA","Healthy Life Years","Life Expectancy from which the expected number of Years lived with long-term activity limitation is subtracted. It is a measure of disability-free Life Expectancy that indicates how long people can expect to live without limitations in the activities people usually do.","n/a","n/a","n/a","Eurostat (online data code: hlth_hlye)","n/a","n/a","n/a"]
["A","11_EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",250,"nA","Infant mortality",null,"n/a","n/a","n/a","Eurostat","n/a","n/a","n/a"]
["A","11_EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",258,"nA","Amenable mortality","premature deaths that should not occur in the presence of effective and timely care.","n/a","n/a","n/a","OECD; Nolte and McKee; Tobias and Yeh.","n/a","n/a","n/a"]
["A","11_EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",272,"nA","Self-Reported health","reflects  people’s  overall  perceptions  of  their  own  health, including both physical and psychological dimensions. ","n/a","n/a","n/a","Eurostat (EU-SILC) (online data code: hlth_silc_01)","n/a","n/a","n/a"]
["A","11_EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",293,"nA","Psychological well-being",999,"n/a","n/a","n/a","Eurostat (EHIS)","n/a","n/a","n/a"]
["A","11_EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",299,"nA","Daily Smokers",null,"n/a","n/a","n/a","Eurostat (online data code: hlth_ls_smka)","n/a","n/a","n/a"]
["A","11_EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",301,"nA","Alcohol consumption",null,"n/a","n/a","n/a","Eurostat","n/a","n/a","n/a"]
["A","11_EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",304,"nA","Fruit and vegetable consumption",null,"n/a","n/a","n/a","Eurostat","n/a","n/a","n/a"]
["A","11_EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",305,"nA","Overweight","reported overweight and obese persons","n/a","n/a","n/a","Eurostat (online data code: hlth_ehis_st1)","n/a","n/a","n/a"]
["A","11_EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",306,"nA","Levels of physical activity",null,"n/a","n/a","n/a","Eurostat","n/a","n/a","n/a"]
["A","11_EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",334,"nA","Economic impact - Sick leave","Persons reporting that their most serious work related health problem resulted in sick leave of more than one month in the past 12 months.","n/a","n/a","n/a",999,"n/a","n/a","n/a"]
["A","11_EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",349,"nA","GDP per capita",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","11_EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",349,"nA","Economic impact - full income (VLY + GDP)","measures of economic Value of additional Life Years.","n/a","n/a","n/a",999,"n/a","n/a","n/a"]
["A","11_EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",349,"nA","GDP growth",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","11_EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",355,"nA","GINI coefficient",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","11_EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",356,"nA","Costs of social protection (payments for sick, injured, prematurely retired, etc.)",null,"n/a","n/a","n/a",999,"n/a","n/a","n/a"]
["A","11_EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",358,"nA","Economic impact - social cohesion",null,"n/a","n/a","n/a","Eurobarometer","n/a","n/a","n/a"]
["A","11_EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",null,"nA","Structure of taxes","fiscal/social security contributions (%total;  %labour; %capital; %consumption in relation with GDP)","n/a","n/a","n/a","Eurostat. Taxation trends in the European Union, 2013.","n/a","n/a","n/a"]
["A","11_EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",null,"nA","Tax fraud, tax evasion, tax avoidance (% in relation with GDP)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",2,"A-1","Self-reported unmet need for medical care (total by reason: cost, waiting time, distance)","Total self-reported unmet need for medical examination for the following three reasons: financial barriers, waiting times, too far to travel.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",2,"A-2","Self-reported unmet need for medical care - income quintile gap (q1/q5 by reason: cost, waiting time, distance)","Ratio of the people from the top and bottom income quintile which self-reported total unmet need for medical examination for the following three reasons: financial barriers, waiting times, too far to travel.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",1,"A-3","Share of population covered by health insurance","The percentage of the population covered by public health  insurance (which is defined as tax-based public health insurance and income-related payroll taxes including social security contribution schemes) + the percentage of the population covered by private health insurance including: Private mandatory health insurance, Private employment group health insurance, Private community-rated health insurance, and Private risk-rated health insurance.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",5,"A-4","Financial burden of out- of-pocket payment for health care","A micro-level indicator to be defined.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",59,"A-5","Care utilisation (total, by SES)","To be defined and possibly also broken down by socio-economic group.","n/a","n/a","Eurostat (future EU-SILC 3-year health module)","n/a","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",5,"A-6","Household out-of- pocket payment for health care","A macro-level indicator to  be defined. 'Household out-of-pocket payment' means a direct payment for health care goods and services from the household primary income or savings, where the payment is made by the user at the time of the purchase of goods or the use of the service.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",262,"E-1","External causes of death (total, men, women)","External causes of mortality V01-Y89 as accidents and violence including environmental events, circumstances and conditions as the cause of injury, poisoning, and other adverse effects (excluding road accidents).","n/a","n/a","n/a","Eurostat (COD)","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",244,"H-1","Life expectancy at birth and 65 (total population, women, men)","Mean number of years that a newborn child (or that of a specific age) can expect to live if subjected throughout his life to the current mortality conditions (age specific probabilities of dying).","n/a","n/a","n/a","Eurostat (Demographic data)","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",293,"H-10","Mental Health","To be defined.","n/a","n/a","n/a","Eurostat (EHIS)","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",246,"H-2","Healthy life years (HLY) at birth and 65 (women, men)","Mean number of years that a person at birth or at 65 is expected to live in a healthy condition,\ni.e. the number of years of life free of any activity limitation (also called disability - free life expectancy). Based on self-perceived limitations in daily activities (GALI).","n/a","n/a","n/a","Eurostat (Demographic data and EU- SILC)","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",272,"H-3","Self-perceived general health","Percentage of people reporting a good or very good health.","n/a","n/a","n/a","Eurostat (EU-SILC)","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",272,"H-4","Self-perceived general health - income quintile gap (q1/q5)","Ratio of the people from the top and bottom income quintiles reporting a good or very good health.","n/a","n/a","n/a","Eurostat (EU-SILC)","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",250,"H-5","Infant mortality rate (total)","Ratio of the number of deaths of children under one year of age during the year to the number of live births in that year. The value is expressed per 1 000 live births.","n/a","n/a","n/a","Eurostat (Demographic data)","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",254,"H-6","Child mortality, 1-14 (total)","Death rate per 100,000 population.","n/a","n/a","n/a","Eurostat (COD)","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",247,"H-7","Potential years of life lost (PYLL)  (total, by SES)","Current OECD definition: Potential Years of Life Lost (PYLL) is a summary measure of premature mortality which provides an explicit way of weighting deaths occurring at younger ages, which are, a priori, preventable. The calculation of PYLL involves summing up deaths occurring at each age multiplying this with the number of remaining years to live up to a selected age limit (70 years for OECD Health data calculation).","http://www.oecd.org/eco/growth/2732311.pdf","n/a","n/a","Eurostat (possible sources: COD and Demographic data)","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",258,"H-8a","Amenable mortality","Total number of deaths which can be attributed to amenable deaths (list of ICD codes defined by Eurostat's TS Satellite list).","n/a","n/a","n/a","Eurostat (COD)","n/a","http://ec.europa.eu/eurostat/statistics-explained/index.php/Amenable_and_preventable_deaths_statistics","http://ec.europa.eu/eurostat/product?code=hlth_cd_apreu&language=en&mode=view"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",256,"H-8a/b","Avoidable mortality rate: amenable and preventable deaths","Avoidable mortality: A death is considered avoidable if, in the light of medical knowledge and technology or in the light of understanding of the determinants of health at the time of death, all or most deaths from that cause (subject to age limits if appropriate) could be avoided through good quality healthcare (amenable mortality) or by public health interventions in the broadest sense (preventable mortality). More precisely: \nA death is amenable if, in the light of medical knowledge and technology at the time of death, all or most deaths from that cause could be avoided through good quality health care. \nA death is preventable if, in the light of understanding of the determinants of health at the time of death, all or most deaths from that cause could be avoided by public health interventions in the broadest sense.","n/a","Assessing the performance of health care systems is of increasing importance in the EU. While amenable and preventable mortality indicators are not meant to be a definite measurement of the quality of the health care in Member States, they provide some indication for the quality and performance of health care and (wider) public health policies in a country. In addition to health care and public health policies, other factors related to the likelyhood of individuals to contract a disease or to seek medical advice - such as education, social class, health beliefs, levels of concerns, costs of diagnosis and treatment - are likely to influence the amount of amenable and preventable deaths in countries.[9] Improvements in health policies should translate into lower values for amenable and preventable deaths. However, there is likely to be a long time lag between implementation of health (care) policies and changes in the mortality rates, and hence conclusions need to be drawn with caution. ","n/a","Eurostat (COD)","n/a","http://ec.europa.eu/eurostat/statistics-explained/index.php/Amenable_and_preventable_deaths_statistics","http://ec.europa.eu/eurostat/product?code=hlth_cd_apreu&language=en&mode=view"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",257,"H-8b","Preventable mortality","Total number of deaths which can be attributed to preventable deaths (list of ICD codes defined by Eurostat's TS Satellite list).","n/a","n/a","n/a","Eurostat (COD)","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",293,"H-9","Well-being (to include also income quintile gap)","To be defined.","n/a","n/a","n/a","Eurostat (EU-SILC)\nand/or other sources","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",299,"L-1","Regular daily smoking (total population 15+, 15- 24, men, women, income quintile gap q1/q5)","Proportion of people reporting to smoke cigarettes daily.","n/a","n/a","n/a","Eurostat (EHIS)","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",305,"L-2","Obesity","Proportion of people who are obese, i.e. whose body mass index (BMI) is >= 30kg/m2.","n/a","n/a","n/a","Eurostat (EHIS)","(total population 15+, 15- 24, men, women, income quintile gap q1/q5)","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",304,"L-3","Fruit consumption (total population 15+, 15- 24, educational level gap between ISCED 0-2 and 5-6)","Proportion of people reporting to eat fruits (excluding juice) at least once a day.","n/a","n/a","n/a","Eurostat (EHIS)","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",304,"L-4","Vegetable consumption (total population 15+, 15- 24, educational level gap between ISCED 0-2 and 5-6)","Proportion of people reporting to eat vegetables (excluding potatoes and juice) at least once a day.","n/a","n/a","n/a","Eurostat (EHIS)","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",306,"L-5","Physical activity (total population 15+, 15-24, men, women, educational level gap between ISCED 0-2 and 5-6)","Percentage of a countries’ population doing\n≥ 150 minutes of at least moderate‐intensity aerobic physical activity per week.","n/a","n/a","n/a","Eurostat (EHIS)","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",302,"L-6","Risky single occasion drinking (total population 15+, 15-24, men, women, educational level gap between ISCED 0-2 and 5-6)","Proportion of people ingesting more than 60g of pure ethanol on a single occasion in the past 12 months.","n/a","n/a","n/a","Eurostat (EHIS)","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",122,"Q-10","Avoidable admission: uncontrolled diabetes","The indicator for uncontrolled diabetes is defined as the number of hospital discharges of people aged 15 years and over with diabetes Type I or II without mention of a short- term or long-term complication per 100 000 population. The rates have been adjusted to take account of the age and sex composition of each country’s population structure.","n/a","n/a","n/a","OECD /\npossibly Eurostat in the future","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",112,"Q-11","In-hospital mortality following AMI","Number of people who die within 30 days of being admitted (including same day admissions) to hospital with an acute myocardial infarction (AMI).","n/a","n/a","n/a","OECD","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",112,"Q-12","In-hospital mortality following stroke","Number of people who die within 30 days of being admitted (including same day admissions) to hospital with a stroke.","n/a","n/a","n/a","OECD","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",116,"Q-1a","Colorectal cancer survival rates (total)","Age-standardized 5-year relative colorectal survival rate is the observed rate of persons diagnosed with colorectal cancer (C18- C21) surviving five years after diagnosis, divided by expected survival rate in the general population.","n/a","n/a","n/a","Eurocare","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",116,"Q-1b","Colorectal cancer survival rates (total)","Five-year observed survival for men, women and total population aged 15-99 diagnosed with colorectal cancer (first primary cancer at the specified site) divided by the expected survival of a comparable group from the general population (expressed in percentage).","n/a","n/a","n/a","OECD","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",116,"Q-2a","Breast cancer survival rates (women)","Age-standardized 5-year relative breast survival rate is the observed rate of women diagnosed with breast cancer (C50) surviving five years after diagnosis, divided by expected survival rate in the general population.","n/a","n/a","n/a","Eurocare","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",116,"Q-2b","Breast cancer survival rates (women)","Five-year observed survival for women aged 15-99 diagnosed with breast cancer (first primary cancer at the specified site) divided by the expected survival of a comparable group from the general population (expressed in percentage).","n/a","n/a","n/a","OECD","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",116,"Q-3a","Cervical cancer survival rates (women)","Age-standardized 5-year relative cervical survival rate is the observed rate of women diagnosed with cervical cancer (C53) surviving five years after diagnosis, divided by expected survival rate in the general population.","n/a","n/a","n/a","Eurocare","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",116,"Q-3b","Cervical cancer survival rates (women)","Five-year observed survival for women aged 15-99 diagnosed with cervical cancer (first primary cancer at the specified site) divided by the expected survival of a comparable group from the general population (expressed in percentage).","n/a","n/a","n/a","OECD","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",101,"Q-4","Breast cancer screening (women)","Proportion of women (aged 50-69) reporting to have undergone a breast cancer screening test within the past two years.","n/a","n/a","n/a","Eurostat (Joint questionnaire with OECD/WHO)","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",101,"Q-5","Cervical cancer screening (women)","Proportion of women (aged 20-69) reporting to have undergone a cervical cancer screening test within the past three years.","n/a","n/a","n/a","Eurostat (Joint questionnaire with OECD/WHO)","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",101,"Q-6","Colorectal cancer screening (total, men, women)","Proportion of persons (aged 50-74) reporting to have undergone a colorectal cancer screening test in the past two years.","n/a","n/a","n/a","Eurostat (EHIS)","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",98,"Q-7","Vaccination coverage for children","Percentage of infants who have been fully vaccinated against important infectious childhood diseases (reaching their 1st birthday in the given calendar year against pertussis, diphtheria, tetanus, and poliomyelitis; reaching their 2nd birthday in the given calendar year against measles, mumps and rubella).","n/a","n/a","n/a","WHO (HfA)","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",100,"Q-8","Influenza vaccination for 65+ (total, by educational level gap between ISCED 0-2 and 5-6)","Proportion of elderly individuals reporting to have received one shot of influenza vaccine during the last 12 months.","n/a","n/a","n/a","Eurostat (EHIS)","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",122,"Q-9","Avoidable admission: respiratory diseases","The asthma and COPD indicators for respiratory diseases are defined at the OECD as the number of hospital discharges of people aged 15 years and over per 100 000 population, adjusted to take account of the age and sex composition of each country’s population structure.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",76,"R-1","Current expenditure on health care per capita (in pps)","Current expenditure on health care' means the final consumption expenditure of resident units on health care goods and services, including the health care goods and services provided directly to individual persons as well as collective health care service.","n/a","n/a","n/a","Eurostat (Joint questionnaire with OECD/WHO)","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",50,"R-10","MRI units","Number of magnetic resonance imaging units provided by hospitals and ambulatory health care per 100 000 inhabitants.","n/a","n/a","n/a","Eurostat (Joint questionnaire with OECD/WHO)","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",50,"R-11","CTS units","Number of computer tomography scanners provided by hospitals and ambulatory health care per 100 000 inhabitants.","n/a","n/a","n/a","Eurostat (Joint questionnaire with OECD/WHO)","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",76,"R-2","Current expenditure on health care as % of GDP","Current expenditure on health care' means the final consumption expenditure of resident units on health care goods and services, including the health care goods and services provided directly to individual persons as well as collective health care service.","n/a","n/a","n/a","Eurostat (Joint questionnaire with OECD/WHO)","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",84,"R-3","Total long-term care expenditure as % of GDP","Expenditure on long-term nursing care (category HC.3 in SHA 2011) plus expenditure with administration and provision of social services in kind to assist living with disease and impairment (category HC.R.1 in SHA 2011) as a % of GDP.","n/a","n/a","n/a","Eurostat (Joint questionnaire with OECD/WHO)","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",83,"R-4","Expenditure on curative care as % of current expenditure on health care","Curative care' means the health care services during which the principal intent is to relieve symptoms or to reduce the severity of an illness or injury, or to protect against its exacerbation or complication that could threaten life or normal function.","n/a","n/a","n/a","Eurostat (Joint questionnaire with OECD/WHO)","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",87,"R-5","Expenditure on preventive care as a % of current expenditure on health care","Preventive care' means any measure that aims to avoid or reduce the number or the severity of injuries and diseases, their sequelae and complications. It is based on a health promotion strategy that involves a process to enable people to improve their health through the control over some of its immediate determinants. Interventions (both individual and collective) are included when their primary purpose is health promotion and if they occur before the diagnosis has been made.","n/a","n/a","n/a","Eurostat (Joint questionnaire with OECD/WHO)","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",83,"R-6","Expenditure on rehabilitative care as % of current  expenditure on health care","Rehabilitative care means the services to stabilise, improve or restore impaired body functions and structures, compensate for the absence or loss of body functions and structures, improve activities and participation and prevent impairments, medical complications and risks.","n/a","n/a","n/a","Eurostat (Joint questionnaire with OECD/WHO)","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",84,"R-7","Expenditure on long-term nursing care as % of current  expenditure on health care","Long-term nursing care is the long term medical and nursing care without personal care and assistant services that are consumed with the primary goal of alleviating pain and suffering and reducing or managing the deterioration in health status in patients with a degree of long-term dependency.","n/a","n/a","n/a","Eurostat (Joint questionnaire with OECD/WHO)","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",32,"R-8","Practising physicians or doctors","Total number of practising physicians (medical doctors) per 100 000 inhabitants.","n/a","n/a","n/a","Eurostat (Joint questionnaire with OECD/WHO)","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",38,"R-9","Practising and professionally active nurses and midwives","Total number of professional nurses and midwives per 100 000 inhabitants.","n/a","n/a","n/a","Eurostat (Joint questionnaire with OECD/WHO)","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",227,"S-1","Old age dependency ratio","Population 65 and over to population 15 to 64 years.","n/a","n/a","n/a","Eurostat (Demographic data)","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",354,"S-2","At risk of poverty or social exclusion rate","The sum of persons who are: at-risk-of- poverty or severely materially deprived or living in households with very low work intensity as a share of the total population.","n/a","n/a","n/a","Eurostat (EU-SILC)","gender (for people above 18); age - 0-17 (0-5; 6-11; 12-17), 18-64, 65+","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",227,"S-3","Share of population 65+","Population aged 65 and above as a percentage of the total population.","n/a","n/a","n/a","Eurostat (Demographic data)","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",227,"S-4","Share of population 80+","Population aged 80 and above as a percentage of the total population.","n/a","n/a","n/a","Eurostat (Demographic data)","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",329,"S-5","Percentage of population with low educational attainment","Percentage of population (25-64) with low educational attainment (ISCED 0-2).","n/a","n/a","n/a","Eurostat (LFS)","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",349,"S-6","GDP per capita","GDP per capita in PPS per inhabitant.","n/a","n/a","n/a","Eurostat","n/a","n/a","n/a"]
["A","12_EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",null,null,"Current health care expenditures (CHE) by function as % of current expenditure on health care",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","13_European Commission (2014). Comparative efficiency of health systems, corrected for selected lifestyle factors. Retrieved from http://ec.europa.eu/health/systems_performance_assessment/docs/2015_maceli_report_en.pdf",null,null,"total health expenditures","“the sum of expenditure on activities that - through application of medical, paramedical, and nursing knowledge and technology – has the goals of:\n- promoting health and preventing disease;\n- curing illness and reducing premature mortality;\n- caring for persons affected by chronic illness who require nursing care;\n- caring for persons with health-related impairments, disability, and handicaps who require nursing care;\n- assisting patients to die with dignity;\n- providing and administering public health;\n- providing and administering health programmes, health insurance and other funding\narrangements”","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","13_European Commission (2014). Comparative efficiency of health systems, corrected for selected lifestyle factors. Retrieved from http://ec.europa.eu/health/systems_performance_assessment/docs/2015_maceli_report_en.pdf",83,null,"expenditures on curative care","Curative care is defined as the sum of the SHA categories hospital care (HP.1), ambulatory care (HP.3) and outpatient medication (HP.4). These provider groups constitute around 80% of total health spending (on average across countries). Only the OECD and Eurostat provide detailed information on health spending by type of provider.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","13_European Commission (2014). Comparative efficiency of health systems, corrected for selected lifestyle factors. Retrieved from http://ec.europa.eu/health/systems_performance_assessment/docs/2015_maceli_report_en.pdf",244,null,"life expectancy at birth (LE)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","13_European Commission (2014). Comparative efficiency of health systems, corrected for selected lifestyle factors. Retrieved from http://ec.europa.eu/health/systems_performance_assessment/docs/2015_maceli_report_en.pdf",246,null,"healthy life years at birth (HLY)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","13_European Commission (2014). Comparative efficiency of health systems, corrected for selected lifestyle factors. Retrieved from http://ec.europa.eu/health/systems_performance_assessment/docs/2015_maceli_report_en.pdf",246,null,"life expectancy in good perceived health at birth (LEGPH)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","13_European Commission (2014). Comparative efficiency of health systems, corrected for selected lifestyle factors. Retrieved from http://ec.europa.eu/health/systems_performance_assessment/docs/2015_maceli_report_en.pdf",299,null,"Current smoker",null,"n/a","n/a","n/a","Eurobarometer data","n/a","n/a","n/a"]
["A","13_European Commission (2014). Comparative efficiency of health systems, corrected for selected lifestyle factors. Retrieved from http://ec.europa.eu/health/systems_performance_assessment/docs/2015_maceli_report_en.pdf",299,null,"Ex-smoker",null,"n/a","n/a","n/a","Eurobarometer data","n/a","n/a","n/a"]
["A","13_European Commission (2014). Comparative efficiency of health systems, corrected for selected lifestyle factors. Retrieved from http://ec.europa.eu/health/systems_performance_assessment/docs/2015_maceli_report_en.pdf",299,null,"Never smoked",null,"n/a","n/a","n/a","Eurobarometer data","n/a","n/a","n/a"]
["A","13_European Commission (2014). Comparative efficiency of health systems, corrected for selected lifestyle factors. Retrieved from http://ec.europa.eu/health/systems_performance_assessment/docs/2015_maceli_report_en.pdf",301,null,"Alcohol use (average daily consumption between brackets)",null,"n/a","n/a","n/a","Eurobarometer data","n/a","n/a","n/a"]
["A","13_European Commission (2014). Comparative efficiency of health systems, corrected for selected lifestyle factors. Retrieved from http://ec.europa.eu/health/systems_performance_assessment/docs/2015_maceli_report_en.pdf",305,null,"Obese (BMI>30)",null,"n/a","n/a","n/a","Eurobarometer data","n/a","n/a","n/a"]
["A","13_European Commission (2014). Comparative efficiency of health systems, corrected for selected lifestyle factors. Retrieved from http://ec.europa.eu/health/systems_performance_assessment/docs/2015_maceli_report_en.pdf",305,null,"Overweight (BMI=>25 & BMI<=30)",null,"n/a","n/a","n/a","Eurobarometer data","n/a","n/a","n/a"]
["A","13_European Commission (2014). Comparative efficiency of health systems, corrected for selected lifestyle factors. Retrieved from http://ec.europa.eu/health/systems_performance_assessment/docs/2015_maceli_report_en.pdf",305,null,"Normal weight (BMI<25)",null,"n/a","n/a","n/a","Eurobarometer data","n/a","n/a","n/a"]
["A","13_European Commission (2014). Comparative efficiency of health systems, corrected for selected lifestyle factors. Retrieved from http://ec.europa.eu/health/systems_performance_assessment/docs/2015_maceli_report_en.pdf",329,null,"Education: percentage of the population aged 25 years or older that has attained at least a higher secondary education degree",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","13_European Commission (2014). Comparative efficiency of health systems, corrected for selected lifestyle factors. Retrieved from http://ec.europa.eu/health/systems_performance_assessment/docs/2015_maceli_report_en.pdf",349,null,"National income: gross domestic product per capita",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","14_Medeiros J & Schwierz C (2015) Efficiency estimates of health care systems - European Commission Economic Papers (Vol. 549). Brussels: European Economy.",32,"nA","Number of physicians per 100 000 inhabitants","Practicing physians per 100 000 inhabitants.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","14_Medeiros J & Schwierz C (2015) Efficiency estimates of health care systems - European Commission Economic Papers (Vol. 549). Brussels: European Economy.",38,"nA","Number of nurses per 100 000 inhabitants","Practicing nursing and caring professionals including midwives per 100 000 inhabitants","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","14_Medeiros J & Schwierz C (2015) Efficiency estimates of health care systems - European Commission Economic Papers (Vol. 549). Brussels: European Economy.",46,"nA","Hospital beds per 1 000 pop","Curative, psychiatric, long-term care and other hospital beds  per 1 000 inhabitants.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","14_Medeiros J & Schwierz C (2015) Efficiency estimates of health care systems - European Commission Economic Papers (Vol. 549). Brussels: European Economy.",75,"nA","Total health expenditure per capita, PPP","Total (public and private) current expenditure including capital investment, in real values and expressed as purchasing power parities per capita using healthcare specific PPPs.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","14_Medeiros J & Schwierz C (2015) Efficiency estimates of health care systems - European Commission Economic Papers (Vol. 549). Brussels: European Economy.",244,"nA","Life expectancy at birth","Life expectancy at birth, 2012 or latest","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","14_Medeiros J & Schwierz C (2015) Efficiency estimates of health care systems - European Commission Economic Papers (Vol. 549). Brussels: European Economy.",244,"nA","Life expectancy at age 65","Life expectancy at age 65, 2012 or latest","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","14_Medeiros J & Schwierz C (2015) Efficiency estimates of health care systems - European Commission Economic Papers (Vol. 549). Brussels: European Economy.",246,"nA","Healthy life expectancy at birth","The indicator of healthy life years (HLY) measures the number of remaining years that a person of specific age is expected to live without any severe or moderate health problems. The notion of health problem for Eurostat's HLY is reflecting a disability dimension and is based on a self- perceived question which aims to measure the extent of any limitations, for at least six months, because of a health problem that may have affected respondents as regards activities they usually do. The indicator is therefore also called disability-free life expectancy (DFLE); 2012, or latest.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","14_Medeiros J & Schwierz C (2015) Efficiency estimates of health care systems - European Commission Economic Papers (Vol. 549). Brussels: European Economy.",246,"nA","Healthy life expectancy at age 65","The indicator of healthy life years (HLY) measures the number of remaining years that a person of specific age is expected to live without any severe or moderate health problems. The notion of health problem for Eurostat's HLY is reflecting a disability dimension and is based on a self- perceived question which aims to measure the extent of any limitations, for at least six months, because of a health problem that may have affected respondents as regards activities they usually do. The indicator is therefore also called disability-free life expectancy (DFLE); 2012, or latest.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","14_Medeiros J & Schwierz C (2015) Efficiency estimates of health care systems - European Commission Economic Papers (Vol. 549). Brussels: European Economy.",258,"nA","Amenable mortality","Standardized death rates for causes of death with amenable mortality per 100 000 inhabitants. Causes of death selected are based on AMIEHS (2011) and availability in Eurostat. In AMIEHS, causes of death were identified that can be considered ‘amenable’. International classification of diseases (ICD) 10 codes: Human immunodeficiency virus [HIV] disease (B20- B24); Malignant neoplasm of colon, rectosigmoid junction, rectum, anus and anal canal (C18- C21); Malignant neoplasm of breast (C50); Malignant neoplasm of cervix uteri (C53);  Ischaemic heart diseases (I20-I25); Cerebrovascular diseases (I60-I69).","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","14_Medeiros J & Schwierz C (2015) Efficiency estimates of health care systems - European Commission Economic Papers (Vol. 549). Brussels: European Economy.",299,"nA","Smoking","Regular smokers, % of population aged 15+ that are daily smokers","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","14_Medeiros J & Schwierz C (2015) Efficiency estimates of health care systems - European Commission Economic Papers (Vol. 549). Brussels: European Economy.",301,"nA","Alcohol consumption","Alcohol consumption in litres per capita","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","14_Medeiros J & Schwierz C (2015) Efficiency estimates of health care systems - European Commission Economic Papers (Vol. 549). Brussels: European Economy.",305,"nA","Obesity","Obese population i.e. % of population with Body mass index BMI>=30Kg/m2","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","14_Medeiros J & Schwierz C (2015) Efficiency estimates of health care systems - European Commission Economic Papers (Vol. 549). Brussels: European Economy.",329,"nA","Education","ISCED levels 3 to 6","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","14_Medeiros J & Schwierz C (2015) Efficiency estimates of health care systems - European Commission Economic Papers (Vol. 549). Brussels: European Economy.",349,"nA","Income: GDP per capita in PPP","GDP per capita in PPP","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","15_EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",2,null,"Self-reported unmet need for medical care",null,"n/a","n/a","n/a","Eurostat (EU-SILC)","n/a","n/a","n/a"]
["A","15_EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",246,null,"Healthy life years at 65-males",null,"n/a","n/a","n/a","Eurostat (EU-SILC)","n/a","n/a","n/a"]
["A","15_EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",246,null,"Healthy life years at 65-females",null,"n/a","n/a","n/a","Eurostat (EU-SILC)","n/a","n/a","n/a"]
["A","15_EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",315,null,"Housing cost over burden rate","Percentage of the population living in a household where total housing costs (net of housing allowances) represent more than 40% of the total disposable household income (net of housing allowances).","n/a","Access to decent housing","n/a","Eurostat (EU-SILC)","n/a","n/a","n/a"]
["A","15_EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",null,null,"Early school leavers (in %)","Share of persons aged 18 to 24 who have only lower secondary education (their highest level of education or training attained is 0, 1 or 2 according to the 1997 International Standard Classification of Education – ISCED 97) and have not received education or training in the four weeks preceding the survey.","n/a","Youth exclusion","n/a","Eurostat (EU-SILC)","n/a","n/a","n/a"]
["A","15_EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",null,null,"Long-term unemployment rate","Total long-term unemployed population (≥12 months' unemployment; ILO definition) as a proportion of total active population.","n/a","n/a","n/a","Eurostat (EU-SILC)","n/a","n/a","n/a"]
["A","15_EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",null,null,"Youth unemployment ratio (15-24)","Total unemployed young people (ILO definition), 15-24 years, as a share of total population in the same age group (i.e. persons aged 15-24 who were without work during the reference week, were currently available for work and were either actively seeking work in the past four weeks or had already found a job to start within the next three months as a percentage of the total population in the same age group).","n/a","Youth exclusion","n/a","Eurostat (EU-SILC)","n/a","n/a","n/a"]
["A","15_EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",null,null,"Young people not in employment, education or training - NEET","Share of young people aged 18-24 not in employment, education or training.","n/a","Youth exclusion","n/a","Eurostat (EU-SILC)","n/a","n/a","n/a"]
["A","15_EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",null,null,"In-work at risk-of-poverty rate (in %)","Individuals (18-64) who are classified as employed according to their most frequent activity status and are at risk of poverty. The distinction is made between “wage and salary employment plus self-employment” and “wage and salary employment” only","n/a","Social consequences of labour market situation","n/a","Eurostat (EU-SILC)","n/a","n/a","n/a"]
["A","15_EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",null,null,"Median relative income ratio of elderly people","Median equivalised disposable income of people aged 65+ as a ratio of income of people aged 0-64.","n/a","Youth exclusion","n/a","Eurostat (EU-SILC)","n/a","n/a","n/a"]
["A","15_EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",null,null,"Aggregate replacement ratio","Median individual pension income of 65-74 relative to median individual earnings of 50-59, excluding other social benefits","n/a","Pension adequacy","n/a","Eurostat (EU-SILC)","n/a","n/a","n/a"]
["A","15_EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",null,null,"Income quantile ratio (S80/S20)","The ratio of total income received by the 20% of the country's population with the highest income (top quintile) to that received by the 20% of the country's population with the lowest income (lowest quintile). Income must be understood as equivalised disposable income.","n/a","n/a","n/a","Eurostat (EU-SILC)","n/a","n/a","n/a"]
["A","15_EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",null,null,"Impact of social transfers (excluding pensions) on poverty reduction (in %)","Reduction in the at-risk-of-poverty rate in % due to social transfers, calculated as the percentage difference between the at-risk-of-poverty rate before and after social transfers.","n/a","Effectiveness of social protection systems","n/a","Eurostat (EU-SILC)","n/a","n/a","n/a"]
["A","15_EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",350,null,"Employment rates for older workers (55-64), in %","Persons in employment in age group 55-64, as a proportion of total population in the same age group.","n/a","Youth exclusion","n/a","Eurostat (EU-SILC)","n/a","n/a","n/a"]
["A","15_EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",352,null,"Population living in very low intensity (quasijobless) households","People aged 0-59, living in households, where working-age adults (18-59) work less than 20% of their total work potential during the past year.","n/a","Work intensity is taken into account in a broad range of indicators since it is one of the three dimensions that included in the EU2020 indicators. This indicator refers to people living in households with work intensity less than 0.2. The promotion of employment growth has been high on the agenda of the EU for several decades, to that extent, the overall distribution of population living in households with very low work intensity provides valuable information.","n/a","Eurostat (EU-SILC)","gender; age - 0-17 (0-5; 6-11; 12-17), 18-59","n/a","n/a"]
["A","15_EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",353,null,"Real change in gross household disposable income (in %) (GHDI)","Real growth in gross household disposable income (GHDI).\nReal GDHI is calculated as nominal GDHI divided by the deflator of household final consumption expenditure.","n/a","Evolution in household disposable income","n/a","Eurostat (EU-SILC)","n/a","n/a","n/a"]
["A","15_EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",354,null,"At risk of poverty or social exclusion rate","The sum of persons who are: at-risk-of- poverty or severely materially deprived or living in households with very low work intensity as a share of the total population.","n/a","Europe 2020 headline indicator","n/a","Eurostat (EU-SILC)","gender (for people above 18); age - 0-17 (0-5; 6-11; 12-17), 18-64, 65+","http://nui.epp.eurostat.ec.europa.eu/nui/show.do?dataset=ilc_peps01&lang=en","http://ec.europa.eu/europe2020/index_en.htm"]
["A","15_EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",354,null,"At risk of poverty or social exclusion rate for the elderly (65+), in %","The sum of elderly (65+) who are: at-risk-of-poverty or severely materially deprived or living in (quasi-)jobless households (i.e. with very low work intensity) as a share of the total population in the same age group.","n/a","n/a","n/a","Eurostat (EU-SILC)","n/a","n/a","n/a"]
["A","15_EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",354,null,"At-risk-of poverty rate + illustrative threshold values","Share of persons aged 0+ with an equivalised disposable income below 60% of the national equivalised median income.\nEquivalised median income is defined as the household's total disposable income divided by its \"equivalent size\", to take account of the size and composition of the household, and is attributed to each household member. Equivalization is made on the basis of the OECD modified scale.","n/a","In the European Council of Ministers of 1975, the poor are defined as ‘individuals whose resources are so small as to exclude them from the minimal acceptable way of life of the Member State in which they live’. While this notion is multidimensional, a lack of financial resources is an important dimension of poverty. The at-risk-of-poverty rate indicates the share of the population with a relative low income. This low income will most likely hamper their capacity to fully participate in social life of the Member State where they reside.","n/a","Eurostat (EU-SILC)","gender (for people above 18); age - 0-17 (0-5; 6-11; 12-17), 18-64, 65+","n/a","n/a"]
["A","15_EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",354,null,"Children at risk of poverty and social exclusion (in %)","The sum of children (0-17) who are: at-risk-of-poverty or severely materially deprived or living in (quasi-)jobless households (i.e. households with very low work intensity (below 20%) as a share of the total population.","n/a","n/a","n/a","Eurostat (EU-SILC)","n/a","n/a","n/a"]
["A","15_EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",354,null,"Severe material deprivation rate","Share of population living in households lacking at least 4 items out of the following 9 items: i) to pay rent or utility bills, ii) keep home adequately warm, iii) face unexpected expenses, iv) eat meat, fish or a protein equivalent every second day, v) a week holiday away from home, or could not afford (even if wanted to) vi) a car, vii) a washing machine, viii) a colour TV, or ix) a telephone.","n/a","Whereas the at-risk-of-poverty rate measures income to identify a lack of resources, the material deprivation rate focuses on the ability of households or individuals to afford certain items. The effect of low income might be offset by high savings, access to credit or other sources. By focusing on expenses, the material deprivation rate could take these factors into account. Moreover, by measuring deprivation using a threshold (4 items) of and a list of items that are common to all Member States, the material deprivation is more sensitive to differences in living standards across countries than the poverty risk rate with its nationally defined poverty threshold.","n/a","Eurostat (EU-SILC)","gender ; age - 0-17(0-5; 6-11; 12-17), 18-64, 65+","n/a","n/a"]
["A","16_Smith PC, Cylus J & Papanicolas I (2016) Efficiency book, European Observatory …",55,null,"Average Length of Stay for particular conditions","As the name suggests, this measure provides information on the number of days per inpatient stay, on average. \nAverage length of stay in hospitals can be used both as a general measure (to cover all conditions), and by particular condition/treatment (e.g. average length of stay for hip replacement). Average length of stay in hospitals as an indicator of efficiency relies on the assumption that with all other things being equal, a shorter hospital stay will imply reduced costs as the patient moves out of the expensive inpatient care setting. ","n/a","What does it tell you, and what does it not tell you?\n\nAverage length of stay for particular conditions can help to highlight variations in resource use across providers. However, in most cases it is not clear what is an ideal length of time for the average length of stay to be. It is commonly assumed that lower length of stay is more efficient, as a shorter stay implies reduced costs, however this may not always hold true for a number of reasons, such as:\n\n• Even within the same condition, cases are different in terms of their severity and the intensity of treatment. For example, it is likely that an older, frailer patient will need to stay in the hospital longer than a younger healthier patient who underwent the same treatment. \n• Shorter length of stay may be inefficient in the long run. While discharging patients earlier may appear efficient in the short term but cutting costs, it may result in increased probability of complications, or slower recovery, which can cost more in the long term either through expensive readmissions or accumulated outpatient services. \n• Hospital costs are not the same across all days of an inpatient stay. It is likely that costs in the initial days of the stay are more expensive, as these are the days where diagnostic tests and/or interventions are likely to occur. Later days may entail necessary bed rest and continuing medications, which will be cheaper. \n\nWhat should you next if you find variation?\n\nIf providers, or indeed countries, have different average length of stay, for particular conditions or overall, it is important to find out which of these explanations may apply. \n\nDifferences in length of stay across providers may reflect differences in patient characteristics such as age, severity of treatment or other factors. It is thus important to look at these characteristics before concluding that higher length of stay is inefficient.  However, longer length of stay can also reflect inefficiencies, for example it may be linked to administrative delays (such as, delays in scheduling tests, coordinating care across providers, performing a treatment). \n\nTo explore variation in average length of stay across countries it may be useful to explore differences in health system structures and definitions. For example, care may be structured differently across countries such that rehabilitation is performed in hospitals in some countries, while in other countries it occurs in rehabilitation facilities. Indeed, it may also be that different countries employ different definitions for what they consider to be ‘hospitals’ and thus do not record the same information for this indicator. \n\nOther structural factors that may be important to consider are payment systems or targets. Different payment systems put in place to reimburse hospital stays, such as budgets, per-diem payments or DRGs, produce different incentives for early or late discharge. For example, hospitals who are paid on a per diem basis can generate more income by discharging patients later than hospitals who are paid through budgets. ","n/a","n/a","n/a","n/a","n/a"]
["A","16_Smith PC, Cylus J & Papanicolas I (2016) Efficiency book, European Observatory …",66,null,"Operations per specialist","Operations per specialist provides information on the number of operations any one provider is performing. Particularly for conditions where there is high demand, it is assumed that if specialists are performing more operations they are more efficient. ","n/a","What does it tell you, and what does it not tell you?\nThis indicator makes some fundamental assumptions which may not always hold; it assumes that more operations is efficient, that all operations require the same intensity of care, and that a specialist not performing operations is spending their time inefficiently. \n\nWhile performing more operations may be indicative of high demand, it may also be indicative of supplier-induced demand where operations are not always entirely necessary. In this case more operations would be costly and without gain, thus inefficient. \n\nNot all operations will require the same intensity of care and/or preparation time. Some operations may take longer to be performed because of different patient characteristics, resulting in fewer operations overall. \n\nFinally, many specialists will spend some of their time not conducting operations, but in other efficient pursuits. For example if they are involved in teaching, they may be supervising operations. They may be preparing for operations by reviewing case files or recommending necessary tests and/or e consulting with patients. Finally they may spend time conducting research which can improve the efficiency of operations in the future. \n\nWhat should you next if you find variation?\n\nIf there is large variation across providers in the number of operations they are undertaking it is important to understand why this is happening. It may be that the prevalence of the illness for which the operation is conducted differs across the regions where the variation occurs. It may be because some of the specialists only conduct the operation on a particular subset of patients, or because they are engaged in other activities. However it is also important to explore potential sources of inefficiency. For example are fewer operations happening because of lack of operating theatre space, or other clinical staff (such as anesthetists or nurses). ","n/a","n/a","n/a","n/a","n/a"]
["A","16_Smith PC, Cylus J & Papanicolas I (2016) Efficiency book, European Observatory …",94,null,"Expenditures per case ","Expenditure per case provides information on how much money is spent to deliver various health care services. Different health care services use very different types and amounts of inputs; as a result, we would not gain very much information by directly comparing the costs of a hip replacement with the costs of a hernia operation. To appropriately compare expenditures, two general approaches can be taken so that we are comparing like-with-like. If there is an interest in comparing aggregate expenditures, say, across hospitals, expenditures can be summed after using weights to account for differences in patient case-mix; diagnostic-related-groups (DRGs) are a useful tool to account for differences in the intensity of services. Alternatively, while less common, to compare expenditures for specific types of care, vignettes that describe particular diagnoses, procedures and patient characteristics can be used to cost hypothetical episodes of care.","n/a","What does it tell you, and what does it not tell you?\n\nComparing expenditures gives a sense of whether too much is being spent to provide similar health care services. However countries that spend the same amount of money delivering services do not necessarily provide equivalent services. It is very difficult to account for differences in the quality of care by only comparing expenditures by case, so the assumption is that the quality of care is uniform.\n\nWhat should you do next if you find variation?\n\nThere are a number of reasons expenditures per case could appear too high. It is possible that input costs, such as provider salaries, or the prices of drugs and diagnostic tests are too high, or that too many inputs are being used to treat a condition. For example, providers may order unnecessary diagnostic tests that increase costs without additional health gains. Likewise, the indicator relies on the assumption that expenditures have been adjusted to render services fully comparable across systems, but this may not have been done sufficiently. It may be that health systems treat the same conditions using very different approaches or that costs have not been properly adjusted to account for regional differences in overall prices. Most importantly, there could be large differences in the quality of care provided; if a system is found to produce the same health services for much lower expenditure, it is important to make sure that patients are having satisfactory health outcomes.\n","n/a","n/a","n/a","n/a","n/a"]
["A","16_Smith PC, Cylus J & Papanicolas I (2016) Efficiency book, European Observatory …",125,null,"Emergency Readmissions","Emergency readmission measures, sometimes called unplanned readmissions, provide information on whether a patient has been re-admitted for any cause to any hospital within a short period of time. Often this period of time is around 30 days, however in practice this can vary. This data is often reported in administrative data or patient records, and sometimes is adjusted for patient characteristics that make readmission more likely (such as patients age, or known co-morbidities). ","n/a","What does it tell you, and what does it not tell you?\n\nEmergency readmissions can be indicative of poor quality care, and an inefficient use of resources, which go towards treating the patient again. Emergency readmissions may be indicative of patients being discharged too early and/or receiving substandard care in hospital. \n\nHowever, emergency readmission may also be impacted by factors outside the hospital’s control, such as other complicating illnesses, patient’s lifestyle choices and behaviors, and care provided to patients after discharge.  \n\nFinally, emergency readmissions may also be indicative of good care; if for example hospitals are better able to successfully treat very ill patients, and indeed save their lives, they are likely to have higher readmission rates than hospitals that have higher mortality rates. \n\nWhat should you next if you find variation?\n\nIf providers, or indeed countries, have different readmission rates, or readmission rates change over time, it is important to find out which of these explanations may apply. \n\nBefore coming to the conclusion that providers with high emergency readmission rates are inefficient, it is important to rule out some of the other explanations outlined above. As a first step it may be useful to explore the cause of readmissions for particular hospitals, are they driven by particular clinical conditions or events? Do they change for particular sub-groups of patients? Exploring the patient characteristics of different hospitals may also provide further information, and help to ensure that a needier population does not account for the higher readmission rates. This should be done even if readmission rates are adjusted for patient characteristics, for example it is likely that a hospital in a deprived area will have different readmission rates as compared to a hospital in an affluent area even when controlling for age and co-morbidity. This may also capture other factors such as the presence of a social network after discharge or the patient’s capacity for managing their own care. Exploring whether the proportion of patients readmitted through the emergency room versus being transferred from other facilities may also help to better understand the nature of readmissions. \n\nIt may also be useful to explore the relationship between readmission rates and other measures of hospital quality, such as mortality rates or even process and throughput measures such as patient discharge consultations, medical errors, waiting times or length of stay. \n\nTo explore variation in readmission rates across countries it may be useful to explore additional avenues. For example, it may be useful to ensure that the readmissions are measured the same way, to ensure the time period; providers and conditions included in the national definitions are also consistent. ","n/a","n/a","n/a","n/a","n/a"]
["A","16_Smith PC, Cylus J & Papanicolas I (2016) Efficiency book, European Observatory …",185,null,"Duplicate tests ",null,"Duplicate testing indicators provide information on whether a particular test has been administered repeatedly to the same patient within a short period of time. The data is often collected through patient surveys, though it can also be collected using patient records.","What does it tell you, and what does it not tell you?\n\nDuplicate tests can be indicative of inefficient use of resources. Tests can be expensive and if the results of a test are already known, there might not be a good reason to conduct the test again. Alternatively, some tests may have high rates of false positives or false negatives, or be inconclusive; therefore, on some occasions, a provider might need to administer a second test to make an accurate diagnosis. Additionally, patients may require a test to be redone if enough time has passed since the last test and there is a possibility that the results have changed.\n\nWhat should you do next if you find variation?\n\nIf patients are receiving the same tests more than once, it is important to find out where this is happening and what types of tests are being repeatedly administered. For example, it could be that patients are receiving the same tests in a hospital because patient records are not being shared across wards. Or, it could be that patients visit different primary care providers who are unaware that a patient has already been given a particular test in another setting, again because information is not being shared. Alternatively, it could be that tests are being repeated because of the possibility that the results have changed; this should be investigated before taking action that limits access to repeat testing.\n","n/a","n/a","n/a","n/a","n/a"]
["A","16_Smith PC, Cylus J & Papanicolas I (2016) Efficiency book, European Observatory …",220,null,"Generic prescribing ","Generic prescribing gives information on whether providers and pharmacists are prescribing and dispensing generic medicines more often than brand name medicines. Since generic medicines are typically less expensive than brand name drugs, if generic medicines comprise a large share of total medicines, it is indicative of greater efficiency.","n/a","What does it tell you, and what does it not tell you?\n\nThe share of generic prescribing gives an indication of whether a system is obtaining medicines at low cost. However, although it is not really a problem in European countries, it is important to be sure that generic medicines are biologically equivalent to brand name drugs; otherwise, there may be differences in the quality of drugs. Also, patients may have health needs for which the most effective medicines are not yet available in generic. \n\nWhat should you do next if you find variation?\n\nGeneric prescribing is almost without fail a useful metric. However if generic prescribing is low, there are various questions that must be asked to identify the causes. First, are providers rewarded for prescribing brand name drugs? If pharmacists receive higher margins for dispensing brand name drugs, or if pharmaceutical companies compensate providers for prescribing brand name drugs, they may be incentivized to offer them. Second, do patients believe that generic drugs are of lower quality? If patients have expectations that generics are not equivalent to brand name drugs, it will be important to either improve patient information, or to reduce (or eliminate) co-payments for generic drugs while raising (or instituting) co-payments for brand name drugs.\n","n/a","n/a","n/a","n/a","n/a"]
["A","2_ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",52,"CV1","Coronary Ischaemic Disease admission (CID) ","Unplanned angina and/or acute myocardial infarction (AMI) admissions per 10,000 inhabitants aged 18 and older.","Numerator: Unplanned discharges of patients aged 18 and older with a primary diagnosis code of AMI or angina.\nDenominator: Population aged 18 and older. ","Coronary ischaemic disease (CID) is a common cause of hospital admission. In geographic studies on practice variation CID admissions are frequently proposed as a proxy measure of the burden of cardiovascular disease at the population level.\n\nIn ECHO, CID admissions are used in the study of revascularization procedures as both a risk adjuster and a calibrator; in the former case the CID admission rates are used to stratify or standardize revascularization rates at the population level, and in the latter case CID admissions, given their low systematic variation, are used to provide a measure of the expected systematic variation in revascularization rates. ","n/a","http://www.echo-health.eu/handbook/CV_CID.html","n/a","n/a","n/a"]
["A","2_ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",52,"CV2","Acute Myocardial Infarction admission (AMI) ","Urgent acute myocardial infarction (AMI) admissions per 10,000 inhabitants aged 18 and older.","Numerator: Urgent discharges aged 18 and older with a primary diagnosis code of AMI.\nDenominator: Population aged 18 and older. ","Acute myocardial infarction (AMI) is a common cause of hospital admission. In geographic studies on practice variation AMI admissions are widely interpreted as a proxy of the burden of cardiovascular disease at population the level. Since AMI always requires an admission, AMI admissions tend to serve as a better proxy than CID.\n\nAs with CID, AMI admissions are used in the study of revascularization procedures as a risk adjuster or as a calibrator. In the former case revascularization rates at the population level are stratified or standardized using AMI admission rates, while in the latter case AMI admissions, which have very little systematic variation, are used to provide a measure of the expected systematic variation in revascularization rates. ","n/a","http://www.echo-health.eu/handbook/CV_AMI.html","n/a","n/a","n/a"]
["A","2_ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",68,"CV3","Percutaneous Coronary Intervention (PCI) ","All PCI procedures per 10,000 inhabitants aged 40 and older. ","Numerator: PCI procedures performed in patients aged 40 and older.\nDenominator: Population aged 40 and older. ","Percutaneous coronary intervention (PCI) is an effective and less invasive alternative in the treatment of coronary ischaemic disease (CID), including the first hours of an AMI, generally superseding any other alternative.\n\nVariation in PCI rates at the population level should be minimal, and comparable to that observed for CID or AMI. Accordingly, high PCI rates are expected in areas with a high CID burden, while low rates are expected in areas with lower CID burdens. However, evidence has shown a poor correlation between CID and PCI rates, and moderate to high systematic variation in PCI rates.\n\nUnder the ECHO framework, once differences in age, sex, burden of disease, or socioeconomic status across areas are ruled out as an alternative explanation, PCI rates are considered a potential indicator of uneven access to effective care (in areas with lower rates) or of overexposure to PCI (in areas with higher rates). ","n/a","http://www.echo-health.eu/handbook/CV_PCI.html","n/a","n/a","n/a"]
["A","2_ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",68,"CV4","Coronary Artery Bypass Graft (CABG)","All CABG procedures per 10,000 inhabitants aged 40 and older. ","Numerator: CABG procedures performed in patients aged 40 and older.\nDenominator: Population aged 40 and older. ","Coronary artery bypass graft (CABG) is an effective revascularization procedure that is already superseded by PCI for most indications, except in multivessel coronary disease. Indeed, recent decades have seen a PCI substitution effect together with a steady decrease in the use of CABG.\n\nCABG should correlate with the burden of CID, although this correlation is dependent on the degree of substitution with PCI and therefore with the different rates of PCI adoption across areas.\n\nUnder the ECHO framework, once differences in age, sex, burden of disease, and socioeconomic status across areas are ruled out as an alternative explanation, given that multivessel disease is unlikely to be unevenly distributed across areas, high CABG rates may signal overexposure to revascularization. By contrast, low CABG rates may be indicative of underexposure to revascularization if PCI rates are also low in the same area. ","n/a","http://www.echo-health.eu/handbook/CV_CABG.html","n/a","n/a","n/a"]
["A","2_ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",112,"CV5","In Hospital Case-Fatalities Rate after Acute Myocardial Infarction (AMI) ","Case fatality rate per 1,000 AMI admissions aged 18 and older. ","Numerator: Deaths among cases that meet the inclusion and exclusion rules for the denominator.\nDenominator: Patients aged 18 years and older with a principal diagnosis code for AMI. Obstetric discharges are excluded. ","Reductions in AMI case fatality rates have been associated with better care processes. In-hospital case-fatality rates are thus often used as an inpatient quality indicator.\n\nUnder the ECHO framework, AMI case-fatality rates beyond a defined threshold are taken as indicators of differences in hospital quality, once differences between patients have been ruled out.\n\nNonetheless, other factors should also be considered when interpreting variation in case fatalities, including differences in the time between pain onset and admission to an emergency ward, difference in discharge policies, and uneven distribution of services for continued care. ","n/a","http://www.echo-health.eu/handbook/CV_AMI_MORT.html","n/a","n/a","n/a"]
["A","2_ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",112,"CV6","In Hospital Case-Fatalities Rate after Percutaneous Coronary Intervention (PCI)","Case fatality rate per 1,000 PCI performed in patients aged 40 and older. ","Numerator: Deaths among cases meeting the inclusion and exclusion rules for the denominator.\nDenominator: Patients aged 40 years and older, with any procedure code for PCI. Obstetric discharges are excluded. ","Percutaneous coronary intervention (PCI) is a procedure that requires technical proficiency and complex equipment. Although safe, myocardial infarctions, deaths, or post-procedural CABGs are still observed, with huge variation across hospitals, as well as a close association with hospital and physician volume; the greater the volume, the lower the risks. Case-fatalities after PCI are widely accepted as an inpatient quality indicator.\n\nUnder the ECHO framework, PCI case-fatality rates beyond a defined threshold signal differences in hospital quality, once differences between patients are ruled out. ","n/a","http://www.echo-health.eu/handbook/CV_PCI_MORT.html","n/a","n/a","n/a"]
["A","2_ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",112,"CV7","In Hospital Case-Fatalities Rate after Coronary Artery Bypass Graft (CABG)","Case fatality rate per 1,000 CABG performed in patients aged 40 and older. ","Numerator: Deaths among cases meeting the inclusion and exclusion rules for the denominator.\nDenominator: Patients aged 40 years and older, with any procedure code for CABG. Obstetric discharges are excluded.","Coronary artery bypass graft (CABG) is a procedure that requires technical proficiency and the use of complex equipment. Technical errors may lead to clinically significant complications, such as myocardial infarction, stroke, and death. In-hospital case-fatality rates are widely accepted as an inpatient quality indicator, and are closely related to hospital and physician volume; the lower the volume the greater the risk.\n\nUnder the ECHO framework, CABG case-fatality rates beyond a defined threshold signal differences in hospital quality, after ruling out differences between patients. ","n/a","http://www.echo-health.eu/handbook/CV_CABG_MORT.html","n/a","n/a","n/a"]
["A","2_ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",68,"LVC1","Non-Conservative surgery in breast cancer ","Non-conservative breast cancer surgery per 10,000 women. ","Numerator: Admission for breast cancer (primary diagnosis) that entailed non-conservative breast surgery.\nDenominator: Female population. ","The current therapeutic approaches for breast cancer include surgery, often followed by hormonal therapy and radiotherapy. Surgical treatment can be conservative (CS), which preserves part of breast glandular tissue, or non-conservative (NCS), which entails total removal of breast glandular tissue, maintaining or removing the skin tissue. Different studies have shown comparable effectiveness of both surgical strategies in terms of long-term survival. However CS is recommended for any breast cancer stage given the fewer complications and better quality of life associated with this approach. This has limited the use of NCS to situations in which the size of the tumour relative to the total breast mass prevents conservative resection.\n\nIn specialized breast cancer centres, approximately 75% of women with early stage breast cancer are candidates for conservative surgery, while 50-75% of women would prefer conservative surgery.\n\nWithin the ECHO framework, non-conservative surgery is in most cases considered of lower value as it has been superseded by conservative surgery. ","n/a","http://www.echo-health.eu/handbook/LVC_BREANC.html","n/a","n/a","n/a"]
["A","2_ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",68,"LVC10","Hysterectomy without uterus cancer diagnosis","Hysterectomy in benign conditions per 10,000 women aged 18 or older.","Numerator: Admissions of women 18 and older with a non-oncological uterine condition who undergo hysterectomy. Obstetric patients, patients with abdominal trauma, and women with genitourinary cancer are excluded.\nDenominator: Female population aged 18 or older.","Hysterectomy is one of the safest and most appropriate procedures when treating uterine cancer. However, its indication for other gynaecological conditions such as bleeding or uterine myoma is controversial, and it is not considered a first-line approach.\n\nIn those cases, the risk-benefit balance seems to advocate conservative treatments such as hormone therapies. Accordingly, hysterectomy in non-oncological conditions is considered lower-value within the ECHO framework. ","n/a","http://www.echo-health.eu/handbook/LVC_HYSTER.html","n/a","n/a","n/a"]
["A","2_ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",68,"LVC11","Adenoidectomy and/or tonsillectomy","Tonsillectomy and/or adenoidectomy per 10,000 children aged 14 or younger.","Numerator: Discharges including a tonsillectomy and/or adenoidectomy, in patients aged 14 or younger.\nDenominator: Population aged 14 and younger. ","Tonsillectomies and adenoidectomies are frequently performed in children. Evidence of the effectiveness of these procedures is limited to very specific indications: obstructive apnoea, recurrent otitis media and ventilation-tube insertion, chronic or recurrent sinusitis with failure of the appropriate antibiotic therapy and severe acute recurrent tonsillitis. However, the vast majority of children can benefit from conservative treatment and/or antibiotic therapy.\n\nUnexpectedly high rates and dramatic variations across geographic areas, along with unlikely differences in child epidemiology across areas, point to differences in physician practice style and doctors’ preferences as the most important underlying factors.\n\nWithin the ECHO framework, both procedures are considered of lower value since they are essentially ineffective in the vast majority of children, but are widely used. ","n/a","http://www.echo-health.eu/handbook/LVC_ADETON.html","n/a","n/a","n/a"]
["A","2_ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",68,"LVC2","Prostatectomy with prostate cancer","Prostatectomy in prostate cancer per 10,000 men aged 40 or older.","Numerator: Admissions in men aged 40 and older with prostate cancer undergoing prostatectomy.\nDenominator: Male population aged 40 or older. ","Prostate cancer is one of the most common cancers in men. There is major controversy regarding its surgical management given the uncertain risk-benefit balance associated with the number, frequency and severity of adverse events associated with radical prostatectomy.\n\nAccording to the guidelines of the National Institute of Clinical Excellence, men with low-risk localised prostate cancer should be offered active surveillance before radical surgery. Surgery is the recommended approach for stages T2b and T2C, and for stage T3 if there is a realistic prospect of long-term disease control.\n\nEvidence of massive systematic variation in prostatectomy after prostate cancer is likely associated more with differences in practice style or doctors’ preferences than with differences in the incidence of low-risk (or high-risk) prostate cancer across areas.\n\nWithin the ECHO framework, we hypothesize that areas with higher rates are likely to perform low-value prostate interventions.\n\n ","n/a","http://www.echo-health.eu/handbook/LVC_PROST.html","n/a","n/a","n/a"]
["A","2_ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",68,"LVC3","Prostatectomy with benign prostatic hyperplasia","Prostate interventions performed on benign prostatic hyperplasia per 10,000 men aged 40 or older.","Numerator: Admissions in men aged 40 or older with benign prostatic hyperplasia as primary diagnosis, and a concurrent prostate intervention.\nDenominator: Male population aged 40 or older ","Benign prostatic hyperplasia (BPH) is a common disease. BPH surgical management includes open prostatectomy and less-invasive surgical interventions such as transurethral resection (TURP). Open prostatectomy is the oldest surgical method used to treat heavily symptomatic benign prostatic hyperplasia (BPH). This method is still preferred if the prostate is very large but has been generally superseded by less invasive interventions. However, there is growing evidence of overuse of surgical approaches (particularly less-invasive types) to deal with BPH, as well as misuse in asymptomatic or minor cases. On the other hand, drug therapy has proven effective.\n\nAlthough surgery is nowadays safer, surgical treatment of BPH can be considered a lower-value procedure in most cases. ","n/a","http://www.echo-health.eu/handbook/LVC_PROBPH.html","n/a","n/a","n/a"]
["A","2_ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",177,"LVC4","Births with complications","At-risk pregnancies or deliveries per 10,000 women of fertile age. ","Numerator: Admissions in women aged 15 to 55 with multiple gestation, abnormality of pelvic organs, pre-eclampsia, eclampsia, antepartum haemorrhage, premature birth, AIDS infection, abnormal foetal presentation, dystocia, prolonged labour and obstructed labour.\nDenominator: Female population aged 15 to 55. ","At-risk pregnancy or delivery serves as a useful proxy of the population’s need for C-section.\n\nWithin the ECHO framework, this parameter can be used as a need adjuster along with age, either to standardize C-section rates or compare C-section patterns (quintiles) with patterns of risk (observed to expected number of at-risk deliveries). Low-risk pregnancies and deliveries is used to identify C-sections that are likely inappropriate. ","n/a","http://www.echo-health.eu/handbook/LVC_BIRTH.html","n/a","n/a","n/a"]
["A","2_ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",69,"LVC5","Total Caesarean Section","C-section per 10,000 women aged 15 to 55","Numerator: Women between 15 and 55 years old, undergoing a caesarean section.\nDenominator: Female population aged 15 to 55 ","C-section is an effective and safe procedure, with specific indications aimed at reducing foetal and maternal risks. However, there is evidence of a disproportionate increase in C-sections, dramatic variations across healthcare providers, and overuse.\n\nVarious reasons have been proposed to explain those phenomena, including differences in physician practice and doctors’ preferences, uneven access to proper diagnostic techniques for foetal suffering, and women’s preferences.\n\nUnder the ECHO framework, C-section rates can be used to identify high-intensity patterns (supply-sensitive patterns) that could explain differences in the number of C-sections performed in low-risk deliveries. ","n/a","http://www.echo-health.eu/handbook/LVC_CSECTI.html","n/a","n/a","n/a"]
["A","2_ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",69,"LVC6","Caesarean section in low risk pregnancy & delivery","C-section in low-risk pregnancies or deliveries per 10,000 women aged 15 to 55. ","Numerator: Women aged 15 to 55 undergoing a caesarean section without evidence of pregnancy or delivery risks, inclunding multiple gestation, abnormality of pelvic organs, pre-eclampsia, eclampsia, antepartum haemorrhage, premature birth, AIDS infection, abnormal foetal presentation, dystocia, prolonged labour, obstructed labour.\nDenominator: Female population aged 15 to 55. ","C-section is an effective and safe procedure, with specific indications aimed at reducing foetal and maternal risks. Although, some frequent adverse events are associated with caesarean sections, these are outweighed by the benefits of an appropriate indication. However, benefits are unlikely to outweigh risks when the procedure is performed in low-risk deliveries.\n\nWithin the ECHO framework, C-sections in cases of low-risk pregnancy and delivery are considered as a proxy of low-value obstetric care, as in these scenarios a conservative approach (vaginal delivery) is preferable in terms of benefit-risk balance. ","n/a","http://www.echo-health.eu/handbook/LVC_CSELRD.html","n/a","n/a","n/a"]
["A","2_ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",69,"LVC7","Percentage caesarean section over total deliveries ","C-section per 100 deliveries. ","Numerator: Women between 15 and 55 years old, undergoing a caesarean section.\nDenominator: Deliveries female population aged 15 to 55. ","C-section is an effective and safe procedure, with specific indications aimed at reducing foetal and maternal risks. However, there is evidence of a disproportionate increase in C-sections, dramatic variations across healthcare providers, and overuse.\n\nVarious reasons have been proposed to explain those phenomena, including differences in physician practice and doctors’ preferences, uneven access to proper diagnostic techniques for foetal suffering, and women’s preferences.\n\nUnder the ECHO framework, C-section rates can be used to identify high-intensity patterns (supply-sensitive patterns) that could explain differences in the number of C-sections performed in low-risk deliveries. ","n/a","http://www.echo-health.eu/handbook/LVC_CSECDEL.html","n/a","n/a","n/a"]
["A","2_ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",69,"LVC8","Percentage caesarean section in low obstetric risk over total deliveries ","C-section in low-risk pregnancies or deliveries per 100 deliveries. ","Numerator: Women aged 15 to 55 undergoing a caesarean section without evidence of pregnancy or delivery risks, inclunding multiple gestation, abnormality of pelvic organs, pre-eclampsia, eclampsia, antepartum haemorrhage, premature birth, AIDS infection, abnormal foetal presentation, dystocia, prolonged labour, obstructed labour.\nDenominator: Deliveries female population aged 15 to 55. ","C-section is an effective and safe procedure, with specific indications aimed at reducing foetal and maternal risks. Although, some frequent adverse events are associated with caesarean sections, these are outweighed by the benefits of an appropriate indication. However, benefits are unlikely to outweigh risks when the procedure is performed in low-risk deliveries.\n\nWithin the ECHO framework, C-sections in cases of low-risk pregnancy and delivery are considered as a proxy of low-value obstetric care, as in these scenarios a conservative approach (vaginal delivery) is preferable in terms of benefit-risk balance. ","n/a","http://www.echo-health.eu/handbook/LVC_CSEOLRD.html","n/a","n/a","n/a"]
["A","2_ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",68,"LVC9","Hysterectomy in uterine cancer","Hysterectomy in women with uterine cancer per 10,000 women aged 18 and older.","Numerator: Admissions of women with uterine cancer and a concurrent hysterectomy.\nDenominator: Female population aged 18 or older.","Although less common than breast cancer, uterine cancer represents an important disease burden in women. Hysterectomy remains the first choice of treatment.\n\nEvidence shows consistently very low systematic variation in the use of hysterectomy in uterine cancer, which provides an indication of the actual variation of this type of neoplasm across geographic regions.\n\nAccordingly, systematic variation in hysterectomy in uterine cancer is used as a calibrator of the magnitude of systematic variation found for hysterectomy in non-malignant conditions. ","n/a","http://www.echo-health.eu/handbook/LVC_UTECAN.html","n/a","n/a","n/a"]
["A","2_ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",68,"OC1","Hip Replacement","Hip replacement per 10,000 inhabitants aged 35 and older ","Numerator: Admissions of patients aged 35 and older undergoing hip replacement. Fractures and accidents are excluded.\nDenominator: Population aged 35 and older.","Osteoarthritis (OA) is a prevalent condition associated with ageing. The main symptoms are pain, stiffness and functional limitation of daily life activities.\n\nWhile drug therapy is effective in controlling symptoms, hip replacement is an effective alternative (superseding risks) in cases of severe pain and functional impairment.\n\nEvidence shows consistently high systematic variation in hip replacement, which is likely associated with supply-factors, including differences in doctors´ opinions on the relative benefits of the procedure, in the underlying propensity to indicate surgery, and in payment schemes.\n\nWithin the ECHO framework, once differences in age and sex across areas are ruled out as an alternative explanation, high rates of hip replacement are considered an indicator of overexposure. Given evidence suggesting that less affluent areas are underserved, low rates of hip replacement may indicate underexposure.","n/a","http://www.echo-health.eu/handbook/ORT_HRPL.html","n/a","n/a","n/a"]
["A","2_ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",131,"OC2","Hip Replacement (Revision)","Hip replacement revisions per 10,000 inhabitants aged 35 and older. ","Numerator: Admissions of patients aged 35 and older who undergo a hip replacement revision. Fractures and accidents are excluded.\nDenominator: Population aged 35 and older.","Hip replacement is typically recommended for elderly patients, but is becoming more common in younger age groups. In the latter group, there is an increased risk that the prosthetic joint will fail, as the patients are likely to live longer and are expected to use the prosthetic joint more aggressively.\n\nOn the other hand, revision replacement has a higher failure rate than primary replacement, requires more technical expertise, and is significantly more expensive.\n\nWithin the ECHO framework, high rates of hip replacement revisions are considered indicative of lower-value care. ","n/a","http://www.echo-health.eu/handbook/ORT_HREV.html","n/a","n/a","n/a"]
["A","2_ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",52,"OC3","Hip fracture hospital admissions","Hip fracture admissions per 10,000 inhabitants aged 35 and older. ","Numerator: Admissions of patients aged 35 and older, with a principal diagnosis of hip fracture. Pathological fractures and accidents are excluded.\nDenominator: Population aged 35 and older. ","Hip fracture is a relatively common cause of hospital admission. Osteoporosis associated with ageing is the condition most frequently related to hip fracture. Hip fracture requires hospitalization and, in the vast majority of cases, surgical repair.\n\nSystematic variation in hip fracture data is very low across territories, as it happens to colectomy in colorectal cancer and hysterectomy in uterus cancer. Accordingly, these values represent the desired behaviour of healthcare providers if they were to perfectly match population’s need.\n\nWithin the ECHO framework, hip fracture is used as calibrator of the variation observed in orthopaedic procedures.","n/a","http://www.echo-health.eu/handbook/ORT_HFRA.html","n/a","n/a","n/a"]
["A","2_ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",68,"OC4","Knee Replacement ","Primary knee replacements per 10,000 inhabitants aged 45 years and older. ","Numerator: Admissions of patients aged 45 and older, undergoing primary knee replacement. Fractures and accidents are excluded.\nDenominator: Population aged 45 and older. ","Osteoarthritis (OA) is a prevalent condition associated with ageing. The main symptoms are pain, stiffness and functional limitation of daily life activities.\n\nWhile drug therapy is usually effective in controlling symptoms, knee replacement (total knee arthroplasty) is an effective and less risky alternative in cases of severe pain and functional impairment.\n\nEvidence indicates consistently high systematic variation in knee replacement utilisation. This finding is likely explained by differences in doctors´ opinions on the relative benefits of the procedure and their propensity to indicate surgery as well as differences in available payment schemes.\n\nWithin ECHO framework, once differences in age and sex across areas are discarded as an alternative explanation, high rates of knee replacement are considered an indicator of overexposure. Given evidence suggesting that less affluent areas are underserved, low rates of knee replacement may indicate underexposure. ","n/a","http://www.echo-health.eu/handbook/ORT_KRPL.html","n/a","n/a","n/a"]
["A","2_ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",131,"OC5","Knee Replacement (Revision)","Knee replacement revisions per 10,000 inhabitants aged 45 and older. ","Numerator: Admissions of patients aged 45 and older, undergoing a knee replacement revision. Fractures and accidents are excluded.\nDenominator: Population aged 45 and older. ","oint replacements are typically been recommended for elderly patients, but are becoming more common in younger age groups. In the latter group, there is an increased risk that the prosthetic joint will fail (10% after 10 years and 20% after 20 years), as the patients are likely to live longer and are expected to use the prosthetic joint more aggressively.\n\nOn the other hand, revision replacement has a higher failure rate than primary replacement, requires more technical expertise, and is significantly more expensive.\n\nWithin the ECHO framework, high rates of knee replacement revisions are considered indicative of lower-value care. ","n/a","http://www.echo-health.eu/handbook/ORT_KREV.html","n/a","n/a","n/a"]
["A","2_ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",122,"PAH1","Potentially avoidable hospitalisation: asthma in adults","Asthma admissions per 10,000 inhabitants aged 18 and older. ","Numerator: Admissions with primary diagnosis of asthma in patients aged 18 years and older. Obstetric admissions and admissions for congestive heart failure, cystic fibrosis, mental disorders, respiratory diseases and COPD are excluded.\nDenominator: Population aged 18 years and older. ","Asthma in adults, characterized by a reversible airflow obstruction and bronchospasm, is one of the most common reasons for hospital admission and emergency room care. Nonetheless, it is widely accepted that most cases of asthma could be managed with the appropriate therapy on an outpatient basis.\n\nAs a consequence, potentially avoidable hospitalizations for asthma are widely accepted as a proxy measure of effective outpatient care and, provided that inpatient care is more expensive than outpatient care, a surrogate of efficiency.\n\nUnder the ECHO framework, low rates of asthma hospitalizations may indicate effective outpatient care and a more efficient use of resources, at the population level. Conversely, high rates in specific geographic areas may indicate ineffective outpatient care and an inefficient use of resources. ","n/a","http://www.echo-health.eu/handbook/PAH_asthma.html","n/a","n/a","n/a"]
["A","2_ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",122,"PAH4","Potentially avoidable hospitalisation: Dehydration in the elderly","Dehydration admissions per 10,000 inhabitants aged 65 and older. ","Numerator: Admissions, aged 65 years and older, with a principal diagnosis of dehydration.\nDenominator: Population aged 65 years and older. ","Dehydration is a serious acute condition that mainly affects the elderly, patients with several comorbidities, and those with other underlying illnesses, due to reduced intake of fluids. Dehydration requires oral (and/or intravenous) rehydration therapy to avoid serious complications, including death. Outpatient care is critical to evaluate dehydration risks and oversee early treatment.\n\nAccordingly, potentially avoidable hospitalizations for dehydration are widely accepted as a proxy measure of effective outpatient care and, provided that inpatient care is more expensive than outpatient care, a surrogate of efficiency.\n\nUnder the ECHO framework, low rates of hospitalizations for dehydration may be indicative of effective outpatient care and a more efficient use of resources, at the population level. Conversely, high rates in specific geographic areas may indicate ineffective outpatient care and an inefficient use of resources.","n/a","http://www.echo-health.eu/handbook/PAH_dh.html","n/a","n/a","n/a"]
["A","2_ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",122,"PAH6","Potentially avoidable hospitalisation: Angina without procedure ","Non-primary angina admissions per 10,000 inhabitants aged 40 and older","Numerator: Admissions in patients aged 40 and older, with a principal diagnosis of angina, not involving cardiac procedures. Admissions with cardiac procedures and obstetric admissions are excluded.\nDenominator: Population aged 40 and older. ","A first episode of angina is a frequent cause of hospital admission. Once angina is diagnosed and treatment started, pain episodes are prevented or controlled with appropriate follow-up and drug therapy. Except in some insensitive cases of unstable angina, the vast majority of both stable and unstable cases can be managed in an outpatient setting.\n\nAs a consequence, potentially avoidable hospitalizations for angina are widely accepted as a proxy measure of effective outpatient care and, provided that inpatient care is more expensive than outpatient care, a surrogate of efficiency.\n\nUnder the ECHO framework, low rates of hospitalizations for angina may be indicative of effective outpatient care and a more efficient use of resources, at the population level. Conversely, high rates in specific geographic areas may indicate ineffective outpatient care and inefficient use of resources. ","n/a","http://www.echo-health.eu/handbook/PAH_angina.html","n/a","n/a","n/a"]
["A","2_ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",179,"PS1","Pulmonary Thromboembolism or deep venous thrombosis after surgical procedure ","Perioperative pulmonary embolism or deep vein thrombosis (as secondary diagnosis) per 1,000 surgical discharges for patients aged 18 years and older. Excludes cases with a principal diagnosis of pulmonary embolism or deep vein thrombosis; cases in which interruption of vena cava is the only operating room procedure; and obstetric discharges. ","Numerator: Discharges, aged 18 and older, with a secondary diagnosis code for deep vein thrombosis or r pulmonary embolism.\n\nDenominator: : All surgical discharges aged 18 and older with a code for an operating room procedure, excluding those for whom interruption of the vena cava is the only procedure and obstetric discharges. Length of stay should be > 2 days. ","Patient Safety Indicators (PSIs) are a set of indicators developed by AHRQ that provide information on potential in-hospital complications and adverse events following surgeries, medical procedures, and childbirth. These indicators provide a means of assessing the incidence of adverse events and in-hospital complications using administrative data contained in the typical discharge record and can be used to help hospitals to identify potential adverse events that may require further study.\n\nPSI 12 captures how often a blood clot ends up in the lungs (pulmonary embolism, PE) or in a large vein (deep vein thrombosis, DVT) after a surgical procedure. Both PE and DVT are common complications that can be prevented through continuous in-hospital risk assessment and appropriate prophylactic treatments.\n\nLink: http://www.qualitymeasures.ahrq.gov/content.aspx?id=38522","n/a","http://www.echo-health.eu/handbook/PSI_psi12.html","n/a","n/a","n/a"]
["A","2_ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",179,"PS2","Postoperative Sepsis","Postoperative sepsis cases (as secondary diagnosis) per 1,000 total or elective surgical discharges for patients aged 18 years and older. Excludes cases with a principal diagnosis of sepsis or infection, cases with an immunocompromised state, cases with cancer, obstetric discharges, and cases with stays of less than four (4) days.","Numerator: Discharges among cases meeting the inclusion and exclusion rules for the denominator, with any secondary diagnosis code for sepsis.\nDenominator: All surgical discharges or elective discharges only* (defined by admission type), aged 18 and older with a code for an operating room procedure. Excludes cases with an immunocompromised state, cases with cancer, obstetric discharges and cases with stays of less than four days. ","The Patient Safety Indicators (PSIs) are a set of indicators developed by AHRQ providing information on potential in-hospital complications and adverse events following surgeries, medical procedures, and childbirth. These indicators provide the opportunity to assess the incidence of adverse events and in-hospital complications using administrative data contained in the typical discharge record and can be used to help hospitals identify potential adverse events that may require further study.\n\nPSI 13 captures how often patients acquire a serious bloodstream infection after an operation (postoperative sepsis). With proper monitoring and care, this type of infection can be prevented.\n\nLink: http://www.qualitymeasures.ahrq.gov/content.aspx?id=38523","n/a","http://www.echo-health.eu/handbook/PSI_psi13.html","n/a","n/a","n/a"]
["A","2_ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",null,"RA1","Risk Adjuster: Elixhauser's comorbidities (EC)","ECHO uses the well-known Elixhauser method to classify comorbidities. Using administrative data, this approach allows risk-adjustment for up to 30 comorbidities. Depending on the indicator of interest, all or some of those 30 conditions can be used without jeopardizing validity. ECHO has used tailored modelling for each hospital-specific indicator"," AIDS/HIV\n\nAlcohol abuse\n\nDeficiency anemia\n\nCardiac arrhythmias\n\nRheumatoid arthritis/collagen vascular diseases\n\nBlood loss anemia\n\nCongestive heart failure\n\nChronic lung disease\n\nCoagulopathy\n\nDepression\n\nDiabetes, without chronic complications\n\nDiabetes, with chronic complication\n\nDrugs abuse\n\nHypertension, uncomplicated\n\nHypertension, complicated\n\nHypothyroidism\n\nLiver disease\n\nLymphoma\n\nFluid and electrolyte disorders\n\nMetastatic cancer\n\nOther neurological disorders\n\nObesity\n\nParalysis\n\nPeripheral vascular disorders\n\nPsychoses\n\nPulmonary circulation disorders\n\nRenal failure\n\nSolid tumor without metastasis\n\nPeptic ulcer disease excluding bleeding\n\nValvular disease\n\nWeight loss ","n/a","n/a","http://www.echo-health.eu/handbook/RISK_ELIX.html","n/a","n/a","n/a"]
["A","2_ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",null,"RA2","Risk Adjuster: Cardiovascular Severity "," CABG risk adjustment variable. Procedure codes for implantation of heart and circulatory assist system(s)\n\nCABG risk adjustment variable. Procedure codes for major heart structure surgery. Includes repair of atrial and ventricular septa, revision of such procedures, cardiotomy and pericardiotomy, pericardiectomy and excision of lesion of heart\n\nCABG risk adjustment variable. Procedure codes for valvular surgery: includes open and closed valvuloplasty and replacement\n\nCABG, PTCA and ischaemic disease risk adjustment variable. Diagnosis codes for ST elevation myocardial infarction\n\nCABG, PTCA and ischaemic disease risk adjustment variable. Diagnosis codes for non-ST elevation myocardial infarction (subendocardial)","n/a","n/a","n/a","http://www.echo-health.eu/handbook/RISK_CV.html","n/a","n/a","n/a"]
["A","3_Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",76,1,"Public current health expenditure (CHE) as % of GDP","General government and social security funds (HF.1) current expenditure (HC.1 - HC.9), including long-term nursing care (HC.3), but excluding social services of long-term care (HC.R.6.1) and capital investment in health (HC.R.1); If available, the projected 2010 GDP has been replaced by the real 2010 GDP.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","3_Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",76,2,"Projected increase in public CHE of GDP over 2010-2060**","Projected increase in public expenditure on health care over 2010 - 2060 based on the \"AWG reference scenario\" and the \"AWG risk scenario\" in the Ageing Report 2012. The \"AWG reference scenario\" projects the impact of ageing and an income elasticity of health care demand of 1.1. on expenditure growth. The \"AWG risk scenario\" projects the impact of demographic and non- demographic drivers, such as income and techological changes and equalling an elasticity of health care demand of 1.3, on expenditure growth.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","3_Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",76,3,"Public CHE in per capita PPS","As definition 1, measured in purchasing power standard per capita","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","3_Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",78,4,"Public current health expenditure  % of total current health expenditure","As definition 1, where total is defined as public and private expenditure on health, where private comprises of the categories: private sector (HF.2), rest of the world (HF.3) and not elsewhere classified (HF.0).","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","3_Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",77,5,"Public current health expenditure % of total government expenditure","Public CHE % of total government expenditure, based on the COFOG database.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","3_Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",244,6,"Life expectancy at birth for females","Life expectancy at birth for females.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","3_Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",244,7,"Life expectancy at birth for males","Life expectancy at birth for males.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","3_Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",258,8,"Amenable mortality","Standardized death rates for causes of death with amenable mortality per 100 000 inhabitants. Causes of death selected The selection based on AMIEHS (2011) and availability in Eurostat. In AMIEHS, causes of death were identified that can be considered ‘amenable’. International classification of diseases (ICD) 10 codes: Human immunodeficiency virus [HIV] disease (B20-B24); Malignant neoplasm of colon (C18); Malignant neoplasm of breast (C50); Malignant neoplasm of cervix uteri (C53); Ischaemic heart diseases (I20-I25); Cerebrovascular diseases (I60-I69).","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","3_Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",250,9,"Infant mortality rate per 1 000 life births","The infant mortality rate is the number of deaths of children under one year of age in a given year, expressed per 1 000 live births.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","3_Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",91,10,"Public hospital expenditure % of GDP"," ","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","3_Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",91,11,"Public hospital expenditure % of public Current Health Expenditure","As definition 10, measured as % of public CHE.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","3_Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",46,12,"Acute hospital beds per 1 000 pop","Curative (Eurostat: HBED_CUR) care beds in hospitals (HP.1), excluding psychiatric care beds in hospitals (Eurostat: HBED_PSY), long-term care beds ( HBED_LT), and other beds(HBED_OTH), measured per 1 000 inhabitants.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","3_Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",58,13,"Acute care bed occupancy rates","Number of acute care beds effectively occupied (beddays) in in- patient institutions divided by the number of available acute care beds and multiplied by 100.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","3_Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",55,14,"Average acute care length of stay (ALOS) in days","Average length of stay in curative care beds is calculated by dividing the number of days stayed (from the date of admission in an hospital or other in-patient institution) by the number of discharges during the year. It includes deaths in hospitals, but excludes same-day separations.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","3_Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",54,15,"Hospital day cases as % of total hospital discharges","Hospital discharges for all diagnoses (ICD 10: All causes of diseases (A00-Z99) excluding V00-Y98); Day cases: Day care comprises patients that are formally admitted for receiving health care being discharge on the day of admission (Eurostat: hlth_co_disch3). An episode of care for a patient who stays overnight is classified as an in-patient case (Eurostat: hlth_co_disch1).","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","3_Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",92,16,"Public ambulatory expenditure as % GDP","General government and social security funds (HF.1) expenditure on providers of ambulatory health care (HP.3) including offices of physicians (HP.31), dentists (HP.32), other health practitioners (HP.33), out-patient care centres (HP.34), medical and diagnostic laboratories (HP.35), providers of home health care services (HP.36) and other providers of ambulatory health care (HP.39), measured as % of GDP.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","3_Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",92,17,"Public ambulatory expenditure as % of public Current Health Expenditure","As definition 17, measured as % of public CHE.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","3_Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",32,18,"Number of GPs per 100 000 inhabitants","Generalist medical practitioners (Eurostat: variable \"GEN\" in dataset \"hlth_rs_spec\") per 100 000 inhabitants.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","3_Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",33,19,"Share of GPs in all physicians","Share of generalist medical practitioners in all physicians.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","3_Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",41,20,"Ratio of nurses and midwives to physicians","Ratio of practicing nursing and caring professionals including midwives (Eurostat: hlth_rs_prsns) to the total number of practicing physicians","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","3_Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",63,21,"Ratio of outpatient to inpatient contacts per capita","Ratio of the number of outpatient contacts with a physician (in a physician's office or at patient's home) excluding dentists consultations to the number of all hospital discharges (including day cases and inpatient cases, as defined in indicator 14).","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","3_Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",86,22,"Public expenditures on outpatient pharmaceutical as % of GDP","Public outpatient pharmaceutical as % of public CHE, based on pharmaceuticals and other medical non-durables (HC.51) dispensed to out-patients. Data on pharmaceutical spending is not available for the inpatient sector for most of the EU Member States. In some countries (e.g. BG, CY, HU), outpatient pharmaceuticals may be also part of hospital expenditure.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","3_Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",86,23,"Public expenditures on outpatient pharmaceutical as % of public CHE","As definition 22, but measured as % of public CHE.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","3_Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",86,24,"Public in total (private and public) expenditure on outpatient pharmaceuticals","Public (definition 1) in total (definition 3) expenditure on pharmaceuticals (definition 22).","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","3_Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",86,25,"Public per capita spending on outpatient pharmaceuticals in PPS","As definition 22, measured in purchasing power standard per capita.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","3_Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",220,26,"Share of generics in the total pharmaceutical market","Market shares in volume of generics in all pharmaceutical products consumed, 2010 or most recent data; Generics are therapeutic alternatives to originator medicines. They are as effective, but on average cheaper than the respective off-patent originals.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","3_Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",220,27,"Generic market shares in value","As definition 26, but measured in value.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","3_Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",88,28,"Expenditure on health administration and health insurance as % of GDP","Expenditure on health administration and health insurance (HC.7) as % of GDP.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","3_Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",88,29,"Expenditure on health administration and health insurance as % of public CHE","As definition 28, measured as % of public CHE.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",2,"nA","Proportion of people (all population) with self-declared unmet needs for health care services due to either financial barriers, waiting times or travelling distances",null,"n/a","Equity of access to health care services","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",2,"nA","Proportion of people whose highest level of education is ISCED 0, 1, or 2 with self-declared unmet needs for health care services due to either financial barriers, waiting times or travelling distances",null,"n/a","Equity of access to health care services","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",2,"nA","Proportion of people in the first quintile of equalized income (20% lowest income group) with self-declared unmet needs for health care services due to either financial barriers, waiting times or travelling distances",null,"n/a","Equity of access to health care services","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",20,"nA","Cancer treatment delay","currently being developed as a part of the ECHI initiative","n/a","Equity of access to health care services","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",22,"nA","Waiting time for certain types of surgeries","currently being developed as a part of the ECHI initiative","n/a","Equity of access to health care services","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",31,"nA","Number of jobs created in health care sector",null,"n/a","Health workforce","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",32,"nA","Practicing physicians","Number per 100 000 inhabitants","n/a","Health workforce","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",32,"nA","Practicing dentists","Number per 100 000 inhabitants","n/a","Health workforce","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",32,"nA","Average age of general practitioners",null,"n/a","Health workforce","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",32,"nA","Percentage of physicians aged 35 years and younger",null,"n/a","Health workforce","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",32,"nA","Percentage of physicians aged 55 years and older",null,"n/a","Health workforce","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",32,"nA","Number of inhabitants per one general practitioner, by region",null,"n/a","Access to primary care","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",32,"nA","Number of inhabitant per one dentist, by region",null,"n/a","Access to primary care","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",32,"nA","Number of women per one gynaecologist, by region",null,"n/a","Access to primary care","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",33,"nA","Percentage of ambulatory physicians on total number of physicians",null,"n/a","Primary and ambulatory care","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",33,"nA","Percentage of general practitioners in outpatient care",null,"n/a","Primary and ambulatory care","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",33,"nA","Percentage of ambulatory specialists in outpatient care",null,"n/a","Primary and ambulatory care","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",34,"nA","Shortage of physicians (nationwide, regional): vacancy rate","a) Vacancy rate, b) Percentage of care not covered","n/a","Health workforce","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",35,"nA","Shortage of physicians (nationwide, regional): percentage of care not covered","a) Vacancy rate, b) Percentage of care not covered","n/a","Health workforce","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",35,"nA","Shortage of dentists","Vacancy rate\nPercentage of care not covered","n/a","Health workforce","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",36,"nA","Number of jobs created in health care sector for qualified workforce holding post-secondary degree",null,"n/a","Health workforce","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",38,"nA","Practicing nurses",null,"n/a","Health workforce","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",38,"nA","Percentage of nurses aged 35 years and older",null,"n/a","Health workforce","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",42,"nA","Shortage of nurses: vacancy rate","Vacancy rate\nPercentage of care not covered","n/a","Health workforce","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",43,"nA","Shortage of nurses: Percentage of care not covered","Vacancy rate\nPercentage of care not covered","n/a","Health workforce","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",46,"nA","Hospital beds per 100 000 inhabitants",null,"n/a","Hospital care","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",46,"nA","Acute care hospital beds per 100 000 inhabitants",null,"n/a","Hospital care capacities","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",46,"nA","Psychiatric hospital beds per 100 000 inhabitants",null,"n/a","Hospital care capacities","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",46,"nA","Long-term hospital beds per 100 000 inhabitants",null,"n/a","Hospital care capacities","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",52,"nA","Standardized rate of hospitalization","Number of hospital admissions per 100 000 inhabitants","n/a","Hospital care","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",55,"nA","In-patient average length of stay in days, all diagnosis","Average duration in days of a single episode of hospitalization in a hospital per discharged in-patient","n/a","Hospital care","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",55,"nA","In-patient average length of stay in days, for individual diagnosis groups",null,"n/a","Hospital care","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",59,"nA","Percentage of illness cases where the first point of contact is a general practitioner",null,"n/a","Primary and ambulatory care","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",75,"nA","Total health care expenditure % of GDP",null,"n/a","Health system","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",98,"nA","Vaccination coverage in children","Percentage of infants reaching their first birthday in the given calendar year who have been fully vaccinated against diphtheria, tetanus, pertussis, poliomyelitis, haemophilius influenza type b or Hepatitis B and those reaching their second birthday in the given calendar year who have been fully vaccinated against measles, mumps and rubella","n/a","Prevention","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",100,"nA","Influenza vaccination in elderly","Proportion of persons aged 65 and over reporting to have received one shot of influenza (flu) vaccine during the last 12 months","n/a","Prevention","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",101,"nA","% of women aged 50-69, whose highest level of education is ISCED class 0, 1 or 2 (lower secondary), reporting a mammography in the past two years (screening)",null,"n/a","Equity of access to health care services","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",101,"nA","Breast cancer screening","% of women aged 50-69 reporting a mammography in the past two years","n/a","Prevention","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",101,"nA","Cervical cancer screening","% of women aged 50-69 reporting a cervical cancer screening in the past two years","n/a","Prevention","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",101,"nA","Percentage of persons (aged 50-74), whose highest level of education is ISCED class 0, 1 or 2 (lower secondary), reporting a colorectal cancer screening in the past two years",null,"n/a","Equity of access to health care services","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",101,"nA","Colorectal cancer screening","% of persons (aged 50-74) reporting a colorectal cancer screening in the past two years","n/a","Prevention","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",125,"nA","Percentage of persons discharged from hospital who are readmitted within 30 days",null,"n/a","Transition to community-based care, development of long-term care and after care","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",197,"nA","Responsiveness: Self perceived acceptability of health system","% of people who assess the performance of the health system to be good or very good","n/a","Health system","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",229,"nA","Persons, to whom care has been provided in a community / at home / in a nursing house",null,"n/a","Transition to community-based care, development of long-term care and after care","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",244,"nA","Life expectancy at birth (total population, men / women)","Average number of years of life remaining at birth","n/a","health status","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",244,"nA","Life expectancy at 65 years of age (total population, men / women)","Average number of years of life remaining at the age of 65","n/a","health status","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",246,"nA","Healthy life years","Expected remaining number of years, lived from a particular age without long-term activity limitation","n/a","health status","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",250,"nA","Infant mortality rate","Ratio of the number of death of infants per 1000 live births","n/a","health status","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",272,"nA","Self-perceived health","Proportion of people who assess their health to be good or very good","n/a","health status","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",275,"nA","Long-term activity limitations","Proportion of people reporting to have long term restrictions in daily activities","n/a","health status","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",275,"nA","Population with health-related restrictions","Proportion of people reporting to have long-term restrictions in daily- activities","n/a","Active and healthy ageing","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",277,"nA","General musculoskeletal pain","Proportion of people reporting to experience general musculoskeletal pain","n/a","health status","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",280,"nA","Cancer incidence","Incidence per 100 000 inhabitants","n/a","health status","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",282,"nA","Diabetes incidence","% of persons with diabetes diagnosed in the past 12 months","n/a","health status","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",283,"nA","Acute myocardial infarction incidence","Incidence per 100 000 inhabitants","n/a","health status","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",285,"nA","Blood pressure","Proportion of persons reporting diagnosed high blood pressure (hypertension) in the last 12 months","n/a","Preventive health determinants","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",291,"nA","Work injuries","Standardized incidence rate of accidents at work per 100 000 workers","n/a","Occupational health","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",291,"nA","Workers off work at least 1 month due to accidents at work and work-related health problems in the past 12 months",null,"n/a","Occupational health","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",293,"nA","Psychological well-being","Proportion of people who assess their mental health to be good or very good","n/a","health status","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",295,"nA","Depression incidence","Proportion of people reporting diagnosed chronic depression in the past 12 months","n/a","health status","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",297,"nA","Limitations in personal care","Proportion of people aged 65+ reporting to have long-term restrictions in daily activities","n/a","Active and healthy ageing","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",297,"nA","Limitations in household activities","Proportion of people aged 65+ reporting to have limitations in doing activities of household care related to longstanding health-related problems","n/a","Active and healthy ageing","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",299,"nA","Regular smokers","Proportion of persons aged 15+ reporting to smoke cigarettes daily","n/a","Preventive health determinants","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",301,"nA","Alcohol consumption","Total, recorded and unrecorded alcohol consumption in litres per person aged 15+ per year","n/a","Preventive health determinants","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",303,"nA","Narcotic abuse","Proportion of people aged 15-64 reporting to have ever used narcotics","n/a","Preventive health determinants","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",304,"nA","Consumption of fruit","Proportion of people aged 15+ reporting to eat fruits (excluding juice) at least once a day","n/a","Preventive health determinants","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",304,"nA","Consumption of vegetables","Proportion of people aged 15+ reporting to eat vegetables (excluding potatoes and juice) at least once a day","n/a","Preventive health determinants","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",305,"nA","Obesity: Body mass index","Proportion of adult persons who are obese, i.e. their body mass index is equal or bigger than 30.","n/a","Preventive health determinants","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",306,"nA","Physical activity","Proportion of persons aged 15+ reporting practice of daily physical activity","n/a","Preventive health determinants","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",312,"nA","Policies of healthy nutrition","currently being developed as a part of the ECHI initiative","n/a","Promotion programmes","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",313,"nA","Policies and practices on health lifestyles","currently being developed as a part of the ECHI initiative","n/a","Promotion programmes","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",314,"nA","Integrated programmes in workplace, schools, hospitals","currently being developed as a part of the ECHI initiative","n/a","Promotion programmes","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",332,"nA","Work safety","Number of employed persons who would stay longer at work if their workplace was healthier and/or safer","n/a","Occupational health","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",332,"nA","Work-related health problems","Percentage of workers reporting work-related health problems in the past 12 months","n/a","Occupational health","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",333,"nA","Number of sick leave cases per 100 000 workers","Number of sick leave cases per 100 000 workers Average length of 1 episode sick leave in days","n/a","Occupational health","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",334,"nA","Average length of 1 episode sick leave in days","Number of sick leave cases per 100 000 workers Average length of 1 episode sick leave in days","n/a","Occupational health","n/a","n/a","n/a","n/a","n/a"]
["A","4_ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",350,"nA","Employment rate of workers aged 55- 64","Proportion of people aged 55-64 in employment.","n/a","Active and healthy ageing","n/a","n/a","n/a","n/a","n/a"]
["A","41_Euro-Peristat. (2012). Euro-Peristat project - Better statistics for better health for pregnant women and their babies.   Retrieved from http://www.europeristat.com/",362,"C1","Fetal mortality rate by gestational age, birth weight, plurality","The number of fetal deaths at or after 22 completed weeks of gestation in a given year per 1000 live and stillbirths in the same year calculated by gestational age, birth weight\nand plurality.\nFetal deaths are differentiated by whether they are spontaneous fetal deaths or result from a termination of pregnancy.\nCohort rates (deaths after live birth in the year, even if the deaths occur in the following year) are also collected by the Euro-Peristat project.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","41_Euro-Peristat. (2012). Euro-Peristat project - Better statistics for better health for pregnant women and their babies.   Retrieved from http://www.europeristat.com/",70,"C10","Mode of delivery by parity, plurality, presentation (of fetus), previous caesarean section","For a population of women and year: the number of births associated with each of the following modes:\n- Vaginal, non instrumental\n- Vaginal: forceps\n- Vaginal: ventouse\n- Vaginal (other, Thierry’s spatula, etc..)\n- Caesarean: before or at onset of labour/elective\n- Caesarean: during labour/emergency\nas a proportion of all still and live births.\nComputed by parity, plurality, presentation and previous caesarean section and gestational age (22-27, 28-31, 32-36, 37, 38, 39, 40, 41, 42+)","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","41_Euro-Peristat. (2012). Euro-Peristat project - Better statistics for better health for pregnant women and their babies.   Retrieved from http://www.europeristat.com/",252,"C2","Neonatal mortality rate by gestational age, birth weight, plurality","The number of neonatal deaths (day 0 through 27) after live birth in a given year per 1000 live births in the same year calculated by gestational age, birth weight and plurality.\nThis rate is presented for all births at or after 22 completed weeks of gestation.\nThis rate is sub-divided by timing of death into early neonatal deaths (0-6 days of life) and late neonatal deaths (7-27 days).","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","41_Euro-Peristat. (2012). Euro-Peristat project - Better statistics for better health for pregnant women and their babies.   Retrieved from http://www.europeristat.com/",250,"C3","Infant mortality rate by gestational age, birth weight, plurality","The number of deaths (day 0-364) after live birth in a given year per 1000 live births in the same year calculated by gestational age, birth weight and plurality.\nThis rate is presented for all births at or after 22 completed weeks of gestation.\nCohort rates (deaths after live birth in the year, even if the deaths occur in the following year) are also collected by the Euro-Peristat project","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","41_Euro-Peristat. (2012). Euro-Peristat project - Better statistics for better health for pregnant women and their babies.   Retrieved from http://www.europeristat.com/",271,"C4","Birth weight distribution by vital status, gestational age, plurality","Number of births within each 500g weight interval expressed as a proportion of all live and stillbirths calculated by gestational age and vital status at birth for singletons and multiples.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","41_Euro-Peristat. (2012). Euro-Peristat project - Better statistics for better health for pregnant women and their babies.   Retrieved from http://www.europeristat.com/",363,"C5","Distribution of gestational age by vital status, plurality","Number of live births and fetal deaths at each completed week of gestation (starting from 22 weeks) expressed as a proportion of all live and stillbirths for singletons and multiples.\nGestational age is defined as the best obstetrical estimate.\nThis distribution is presented, as follows:\n22-36 weeks of gestation (preterm births)\n37-41 weeks (term births)\n41+ weeks (post-term births)\nPreterm births can also be presented as:\n22-27 weeks (extremely preterm)\n28-31 weeks (very preterm)\n32-36 weeks (moderately preterm)","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","41_Euro-Peristat. (2012). Euro-Peristat project - Better statistics for better health for pregnant women and their babies.   Retrieved from http://www.europeristat.com/",255,"C6","Maternal mortality ratio by maternal age","The number of maternal deaths (the death of a woman while pregnant or within 42 days of the termination of pregnancy, irrespective of the duration and site of the pregnancy, for any cause related to or aggravated by the pregnancy or its management, but not from accidental or incidental causes) per 100 000 live births.\nEuro-Peristat collects data on the maternal mortality ratio from both routine and enhanced systems in countries where the latter exist.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","41_Euro-Peristat. (2012). Euro-Peristat project - Better statistics for better health for pregnant women and their babies.   Retrieved from http://www.europeristat.com/",364,"C7","Multiple birth rate by number of fetuses","The number of women in a multiple gestation pregnancy at delivery as a proportion of all women delivering live or stillborn babies by number of fetuses","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","41_Euro-Peristat. (2012). Euro-Peristat project - Better statistics for better health for pregnant women and their babies.   Retrieved from http://www.europeristat.com/",348,"C8","Distribution of maternal age","Distribution of age in years at delivery for women delivering a live or stillbirth. \nRecommended presentation, as follows: <15,15-17, 18-19,20-24,25-29,30-34,35-39,40-44,45-49,50+","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","41_Euro-Peristat. (2012). Euro-Peristat project - Better statistics for better health for pregnant women and their babies.   Retrieved from http://www.europeristat.com/",365,"C9","Distribution of parity ","Distribution of parity (number of previous live or stillbirths) of women delivering a live or stillbirth.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","42_EuroSafe. (2016). European Association for Injury Prevention and Safety Promotion (EuroSafe).   Retrieved from http://www.eurosafe.eu.com/",289,null,"Injuries: home/leisure, register-based incidence",null,"The ECHI indicator 29b (home, leisure and school injuries) is based on the calculated ED-based injury incidence rate. The calculation of the valid national incidence rate is the responsibility of each MS. However, comparability requires a standardized methodology. In most MSs injury relevant ED contacts are only registered in a sample of hospitals in a systematic and harmonised manner. Therefore the incidence rate calculation must be based on extrapolation from the sample to the national level and the uncertainty of the national estimate should be described by a confidence interval around the estimate. In some MSs within-hospital case sampling is performed which shall be a random sampling.","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","42_EuroSafe. (2016). European Association for Injury Prevention and Safety Promotion (EuroSafe).   Retrieved from http://www.eurosafe.eu.com/",290,null,"road traffic accidents",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","42_EuroSafe. (2016). European Association for Injury Prevention and Safety Promotion (EuroSafe).   Retrieved from http://www.eurosafe.eu.com/",291,null,"work-place accidents",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","42_EuroSafe. (2016). European Association for Injury Prevention and Safety Promotion (EuroSafe).   Retrieved from http://www.eurosafe.eu.com/",296,null,"suicide attempts",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","5_EC, Europe 2020 (2015) European Semester Thematic Fiche: Health and Health Systems, from http://ec.europa.eu/europe2020/pdf/themes/2015/health-and-health-systems.pdf",2,"nA","Self-reported unmet needs for medical examination because of cost, waiting time, and travelling distance",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","5_EC, Europe 2020 (2015) European Semester Thematic Fiche: Health and Health Systems, from http://ec.europa.eu/europe2020/pdf/themes/2015/health-and-health-systems.pdf",31,"nA","Employment of workers holding a tertiary degree as a percentage of total employment in health and social work and in all sectors",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","5_EC, Europe 2020 (2015) European Semester Thematic Fiche: Health and Health Systems, from http://ec.europa.eu/europe2020/pdf/themes/2015/health-and-health-systems.pdf",31,"nA","Average annual changes in jobs between 2008 (Q3) and 2014 (Q3) in human health and in all other sectors",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","5_EC, Europe 2020 (2015) European Semester Thematic Fiche: Health and Health Systems, from http://ec.europa.eu/europe2020/pdf/themes/2015/health-and-health-systems.pdf",75,"nA","Health expenditure by financing agent (general government, private sector)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","5_EC, Europe 2020 (2015) European Semester Thematic Fiche: Health and Health Systems, from http://ec.europa.eu/europe2020/pdf/themes/2015/health-and-health-systems.pdf",75,"nA","Public health expenditure as a % of GDP",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","5_EC, Europe 2020 (2015) European Semester Thematic Fiche: Health and Health Systems, from http://ec.europa.eu/europe2020/pdf/themes/2015/health-and-health-systems.pdf",75,"nA","Relative growth of public expenditure on health and GDP","Average annual increase in public expenditure on health as a % of GDP (2007-2012) and average annual increase on real per-capita public expenditure on health (diamonds 2007-2012)","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","5_EC, Europe 2020 (2015) European Semester Thematic Fiche: Health and Health Systems, from http://ec.europa.eu/europe2020/pdf/themes/2015/health-and-health-systems.pdf",77,"nA","Public health expenditure as a % of total government expenditure ",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","5_EC, Europe 2020 (2015) European Semester Thematic Fiche: Health and Health Systems, from http://ec.europa.eu/europe2020/pdf/themes/2015/health-and-health-systems.pdf",86,"nA","Pharmaceutical expenditure in PPS",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","5_EC, Europe 2020 (2015) European Semester Thematic Fiche: Health and Health Systems, from http://ec.europa.eu/europe2020/pdf/themes/2015/health-and-health-systems.pdf",91,"nA","Public hospital expenditure in PPS per capita",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","5_EC, Europe 2020 (2015) European Semester Thematic Fiche: Health and Health Systems, from http://ec.europa.eu/europe2020/pdf/themes/2015/health-and-health-systems.pdf",92,"nA","Public ambulantory expenditure in PPS per capita",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","5_EC, Europe 2020 (2015) European Semester Thematic Fiche: Health and Health Systems, from http://ec.europa.eu/europe2020/pdf/themes/2015/health-and-health-systems.pdf",244,"nA","life expectancy",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","5_EC, Europe 2020 (2015) European Semester Thematic Fiche: Health and Health Systems, from http://ec.europa.eu/europe2020/pdf/themes/2015/health-and-health-systems.pdf",246,"nA","Healthy Life Years at birth by gender",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","5_EC, Europe 2020 (2015) European Semester Thematic Fiche: Health and Health Systems, from http://ec.europa.eu/europe2020/pdf/themes/2015/health-and-health-systems.pdf",null,"nA","Fiscal sustainability indicators and contributions from health and long-term care, medium term sustainability indicator (S1)","The S1 indicator is defined as the constant annual improvement in the ratio of structural primary balance to GDP, from year t_0 + 1 up to year t_1, that is required to bring the debt ratio to a given level by year t_2. In addition to accounting for the need to adjust the initial intertemporal budgetary position and the debt level, it incorporates financing for any additional expenditure until the target date arising from an ageing population.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","5_EC, Europe 2020 (2015) European Semester Thematic Fiche: Health and Health Systems, from http://ec.europa.eu/europe2020/pdf/themes/2015/health-and-health-systems.pdf",null,"nA","Fiscal sustainability indicators and contributions from health and long-term care, long-term sustainability indicator (S2)","In contrast to S1 indicator, the S2 indicator is defined as an immediate and permanent one-off fiscal adjustment that ensures that the intertemporal government budget constraint (IBC) is met. This indicator is appropriate for assessing long-term fiscal sustainability in the face of ageing costs. Note that the derivation of S2 does not assume that either the initial sequence of primary balances or the fixed annual incrase (S2) are optimal according to some criterion. S2 should be considered as a benchmark and not as a policy recommendation or as a measure of the actual adjustment needed in any particular year. ","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","6_Häkkinen U, Iversen T, Peltola M, Rehnberg C, Seppälä T and On Behalf of the EuroHOPE Study Group (2015) Towards Explaining International Differences in Health Care Performance: Results of the EuroHOPE Project, Health Econ., doi: 10.1002/hec.3282.\nIversen T, Aas E, Rosenqvist G & Häkkinen U (2015) Comparative Analysis of Treatment Costs in EUROHOPE. Health Econ., 24: 5–22. doi: 10.1002/hec.3262. ",95,null,"Treatment costs: on five important disease groups: acute myocardial infarction (AMI), ischemic stroke, hip fracture, breast cancer and very low birth weight and preterm infants (VLBWI)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",2,null,"Self-reported unmet needs for medical examination",null,"n/a","Health - Access to health care","n/a","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_silc_14&lang=en","n/a","n/a","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",244,null,"Life expectancy at birth",null,"n/a","Health - Outcomes: Life expectancy","n/a","http://ec.europa.eu/eurostat/product?mode=view&code=demo_mlexpec","n/a","n/a","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",246,null,"Healthy Life Years",null,"n/a","Health - Outcomes: Morbidity & health status","n/a","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_hlye&lang=en","n/a","n/a","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",263,null,"Fatal Accidents at work by economic activity",null,"n/a","Productive or main activity: Quality of employment - Health and safety at work","n/a","n/a","n/a","http://ec.europa.eu/eurostat/product?mode=view&code=hsw_n2_02","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",272,null,"Self-perceived health: by sex, age and educational level",null,"n/a","Health - Outcomes: Morbidity & health status","n/a","http://ec.europa.eu/eurostat/product?mode=view&code=hlth_silc_02","n/a","n/a","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",272,null,"Self-perceived health: by sex, age and income quintile",null,"n/a","Health - Outcomes: Morbidity & health status","n/a","http://ec.europa.eu/eurostat/product?mode=view&code=hlth_silc_10","n/a","n/a","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",293,null,"Self-reported mental health",null,"n/a","Health - Outcomes: Morbidity & health status","n/a","nA","n/a","n/a","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",293,null,"Psychological distress during the past 4 weeks",null,"n/a","Health - Outcomes: Morbidity & health status","n/a","http://ec.europa.eu/eurostat/product?mode=view&code=hlth_ehis_st7","n/a","n/a","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",299,null,"Daily smokers of cigarettes by sex, age and educational level",null,"n/a","Health - Determinants: healthy and unhealthy behaviours","n/a","http://ec.europa.eu/eurostat/product?mode=view&code=hlth_ehis_de3","n/a","n/a","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",299,null,"Daily smokers of cigarettes by sex, age and income quintile",null,"n/a","Health - Determinants: healthy and unhealthy behaviours","n/a","http://ec.europa.eu/eurostat/product?mode=view&code=hlth_ehis_de4","n/a","n/a","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",302,null,"Hazardous alcohol consumption",null,"n/a","Health - Determinants: healthy and unhealthy behaviours","n/a","nA","n/a","n/a","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",304,null,"Consumption of fruits and vegetables",null,"n/a","Health - Determinants: healthy and unhealthy behaviours","n/a","nA","n/a","n/a","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",305,null,"Body Mass Index: by sex, age and educational level ",null,"n/a","Health - Determinants: healthy and unhealthy behaviours","n/a","http://ec.europa.eu/eurostat/product?mode=view&code=hlth_ehis_de1","n/a","n/a","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",305,null,"Body Mass Index: by sex, age and income quintile",null,"n/a","Health - Determinants: healthy and unhealthy behaviours","n/a","http://ec.europa.eu/eurostat/product?mode=view&code=hlth_ehis_de2","n/a","n/a","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",306,null,"Regular practice of physical activity",null,"n/a","Health - Determinants: healthy and unhealthy behaviours","n/a","nA","n/a","n/a","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",315,null,"Share of total population living in a dwelling with a leaking roof, damp walls, floors or foundation, or rot in window frames of floor",null,"n/a","Material living conditions: Housing conditions","n/a","n/a","n/a","http://ec.europa.eu/eurostat/product?mode=view&code=ilc_mdho01","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",315,null,"Average satisfaction with accommodation",null,"n/a","Material living conditions: Housing conditions","n/a","n/a","n/a","http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-485891_QID_-4F6FA4D7_UID_-3F171EB0&layout=INDIC_WB,L,X,0;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-485891ISCED97,TOTAL;DS-485891SEX,T;DS-485891INDICATORS,OBS_FLAG;DS-485891AGE,Y_GE16;DS-485891TIME,2013;DS-485891UNIT,RTG;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=true&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",315,null,"Percentage of the population rating their satisfaction with their accommodation as high, medium or low",null,"n/a","Material living conditions: Housing conditions","n/a","n/a","n/a","http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-485908_QID_-707A277E_UID_-3F171EB0&layout=INDIC_WB,L,X,0;LEV_SATIS,L,X,1;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-485908UNIT,PC;DS-485908INDICATORS,OBS_FLAG;DS-485908ISCED97,TOTAL;DS-485908SEX,T;DS-485908AGE,Y_GE16;DS-485908TIME,2013;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=LEV-SATIS_1_2_1_0&rankName9=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=true&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",315,null,"Overcrowding rate",null,"n/a","Material living conditions: Housing conditions","n/a","n/a","n/a","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=ilc_lvho05b&lang=en","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",315,null,"Share of people living in under-occupied dwellings",null,"n/a","Material living conditions: Housing conditions","n/a","n/a","n/a","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=ilc_lvho50b&lang=en","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",316,null,"Average satisfaction with recreational and green areas ",null,"n/a","Natural and living environment: Access to green and recreational spaces","n/a","http://ec.europa.eu/eurostat/statistics-explained/index.php/Quality_of_life_indicators_-_measuring_quality_of_life#8.2B1_dimensions_of_quality_of_life","n/a","http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-485891_QID_-7B5D731A_UID_-3F171EB0&layout=INDIC_WB,L,X,0;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-485891ISCED97,TOTAL;DS-485891SEX,T;DS-485891INDICATORS,OBS_FLAG;DS-485891AGE,Y_GE16;DS-485891TIME,2013;DS-485891UNIT,RTG;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=true&lang=EN&cfo=%23%23%23,%23%23%23.%23%23%23","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",316,null,"Percentage of the population rating their satisfaction with recreational and green areas as high, medium or low",null,"n/a","Natural and living environment: Access to green and recreational spaces","n/a","n/a","n/a","http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-485908_QID_C509D19_UID_-3F171EB0&layout=INDIC_WB,L,X,0;LEV_SATIS,L,X,1;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-485908UNIT,PC;DS-485908INDICATORS,OBS_FLAG;DS-485908ISCED97,TOTAL;DS-485908SEX,T;DS-485908AGE,Y_GE16;DS-485908TIME,2013;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=LEV-SATIS_1_2_1_0&rankName9=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=true&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",318,null,"Average satisfaction with living environment",null,"n/a","Natural and living environment: Landscape and built environment","n/a","n/a","n/a","http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-485891_QID_-357263DC_UID_-3F171EB0&layout=INDIC_WB,L,X,0;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-485891ISCED97,TOTAL;DS-485891SEX,T;DS-485891INDICATORS,OBS_FLAG;DS-485891AGE,Y_GE16;DS-485891TIME,2013;DS-485891UNIT,RTG;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=true&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",318,null,"Percentage of the population rating their satisfaction with living environment as high, medium or low",null,"n/a","Natural and living environment: Landscape and built environment","n/a","n/a","n/a","http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-485908_QID_25FBECD2_UID_-3F171EB0&layout=INDIC_WB,L,X,0;LEV_SATIS,L,X,1;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-485908UNIT,PC;DS-485908INDICATORS,OBS_FLAG;DS-485908ISCED97,TOTAL;DS-485908SEX,T;DS-485908AGE,Y_GE16;DS-485908TIME,2013;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=LEV-SATIS_1_2_1_0&rankName9=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=true&lang=EN&cfo=%23%23%23,%23%23%23.%23%23%23","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",321,null,"Urban population exposure to air pollution by particulate matter",null,"n/a","Natural and living environment: Pollution (including noise)","n/a","n/a","n/a","http://epp.eurostat.ec.europa.eu/tgm/table.do?tab=table&init=1&plugin=1&language=en&pcode=tsdph370","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",322,null,"Pollution, grime or other environmental problems",null,"n/a","Natural and living environment: Pollution (including noise)","n/a","n/a","n/a","http://ec.europa.eu/eurostat/product?mode=view&code=ilc_mddw02","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",324,null,"Noise from neighbours or from the street",null,"n/a","Natural and living environment: Pollution (including noise)","n/a","n/a","n/a","http://ec.europa.eu/eurostat/product?mode=view&code=ilc_mddw01","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",327,null,"Homicide rate","age-standardised homicide rate / 100 000 people","Physical safety refers to being protected from any situation that puts a person’s physical security at risk, such as crime, accidents or natural disasters. A perceived lack of physical safety may affect subjective well-being more than the actual effects of a physical threat. Homicide causes only a small percentage of all deaths, but its effect on people’s emotional lives is very different to the effect of deaths related to medical conditions. Consequently, the effects of those crimes that affect a person’s physical safety are socially magnified and affect the quality of life not only of those close to the victim, but also of many others who then feel insecure or afraid. ","Economic and physical safety: Physical and personal security - Crime","n/a","n/a","n/a","http://ec.europa.eu/eurostat/product?mode=view&code=crim_off_cat","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",327,null,"Crime, violence or vandalism in the area",null,"Physical safety refers to being protected from any situation that puts a person’s physical security at risk, such as crime, accidents or natural disasters. A perceived lack of physical safety may affect subjective well-being more than the actual effects of a physical threat. Homicide causes only a small percentage of all deaths, but its effect on people’s emotional lives is very different to the effect of deaths related to medical conditions. Consequently, the effects of those crimes that affect a person’s physical safety are socially magnified and affect the quality of life not only of those close to the victim, but also of many others who then feel insecure or afraid.","Economic and physical safety: Physical and personal security - Crime","n/a","n/a","n/a","http://ec.europa.eu/eurostat/product?mode=view&code=ilc_mddw03","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",327,null,"Population feeling safe when walking alone in their area after dark",null,"Physical safety refers to being protected from any situation that puts a person’s physical security at risk, such as crime, accidents or natural disasters. A perceived lack of physical safety may affect subjective well-being more than the actual effects of a physical threat. Homicide causes only a small percentage of all deaths, but its effect on people’s emotional lives is very different to the effect of deaths related to medical conditions. Consequently, the effects of those crimes that affect a person’s physical safety are socially magnified and affect the quality of life not only of those close to the victim, but also of many others who then feel insecure or afraid.","Economic and physical safety: Physical and personal security - Perception of physical safety","n/a","n/a","n/a","http://ec.europa.eu/eurostat/documents/118025/118129/Population+feeling+safe+when+walking+alone+in+their+area+after+dark/2146f299-38d9-40f1-82f1-2621f3177801","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",329,null,"Education attainment: Lower secondary",null,"n/a","Education - Competences and skills: Educational attainment","n/a","n/a","n/a","http://ec.europa.eu/eurostat/product?mode=view&code=edat_lfse_03","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",329,null,"Education attainment: Upper secondary",null,"n/a","Education - Competences and skills: Educational attainment","n/a","n/a","n/a","http://ec.europa.eu/eurostat/product?mode=view&code=edat_lfse_03","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",329,null,"Education attainment: Tertiary",null,"n/a","Education - Competences and skills: Educational attainment","n/a","n/a","n/a","http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-591613_QID_7DD96E5F_UID_-3F171EB0&layout=TIME,C,X,0;GEO,L,Y,0;SEX,L,Z,0;AGE,L,Z,1;UNIT,L,Z,2;ISCED11,L,Z,3;INDICATORS,C,Z,4;&zSelection=DS-591613UNIT,PC;DS-591613SEX,T;DS-591613AGE,Y15-64;DS-591613INDICATORS,OBS_FLAG;DS-591613ISCED11,ED5-8;&rankName1=ISCED11_1_2_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=TIME_1_0_0_0&rankName7=GEO_1_2_0_1&sortC=ASC_-1_FIRST&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=false&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",330,null,"Enrolment rate in ISCED 0-1 for 4 years old pupils",null,"n/a","Education - Opportunities for education","n/a","n/a","n/a","http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-063177_QID_-6D46E1B3_UID_-3F171EB0&layout=TIME,C,X,0;GEO,L,Y,0;INDIC_ED,L,Z,0;INDICATORS,C,Z,1;&zSelection=DS-063177INDIC_ED,P04_1;DS-063177INDICATORS,OBS_FLAG;&rankName1=INDIC-ED_1_2_-1_2&rankName2=INDICATORS_1_2_-1_2&rankName3=TIME_1_0_0_0&rankName4=GEO_1_2_0_1&ppcRK=FIRST&ppcSO=ASC&sortC=ASC_-1_FIRST&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=NONE&time_most_recent=false&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",331,null,"Low wage earners as a proportion of all employees (excluding apprentices)",null,"n/a","Productive or main activity: Quality of employment - Income and benefits from employment","n/a","n/a","n/a","http://ec.europa.eu/eurostat/product?mode=view&code=earn_ses_pub1a","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",335,null,"Average number of usual weekly hours of work in main job by economic activity (NACE Rev. 2)",null,"n/a","Productive or main activity: Quality of employment - Work/life balance","n/a","http://ec.europa.eu/eurostat/statistics-explained/index.php/Quality_of_life_indicators_-_productive_or_main_activity","n/a","http://ec.europa.eu/eurostat/product?mode=view&code=lfsa_ewhun2","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",335,null,"Population in employment working more than the ILO threshold of 48 hours a week (under development)",null,"n/a","Productive or main activity: Quality of employment - Work/life balance","n/a","http://ec.europa.eu/eurostat/statistics-explained/index.php/Quality_of_life_indicators_-_productive_or_main_activity","n/a","n/a","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",335,null,"Population in employment working during unsocial hours",null,"n/a","Productive or main activity: Quality of employment - Work/life balance","n/a","http://ec.europa.eu/eurostat/statistics-explained/index.php/Quality_of_life_indicators_-_productive_or_main_activity","n/a","http://ec.europa.eu/eurostat/product?mode=view&code=lfsa_ewpsat","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",335,null,"Average satisfaction with commuting time",null,"n/a","Productive or main activity: Quality of employment - Work/life balance","n/a","http://ec.europa.eu/eurostat/statistics-explained/index.php/Quality_of_life_indicators_-_productive_or_main_activity","n/a","http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-485891_QID_-37310D9D_UID_-3F171EB0&layout=INDIC_WB,L,X,0;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-485891ISCED97,TOTAL;DS-485891SEX,T;DS-485891INDICATORS,OBS_FLAG;DS-485891AGE,Y_GE16;DS-485891TIME,2013;DS-485891UNIT,RTG;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=true&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",335,null,"Percentage of the population rating their satisfaction with their commuting time as high, medium or low",null,"n/a","Productive or main activity: Quality of employment - Work/life balance","n/a","http://ec.europa.eu/eurostat/statistics-explained/index.php/Quality_of_life_indicators_-_productive_or_main_activity","n/a","http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-485908_QID_-6E3F400E_UID_-3F171EB0&layout=INDIC_WB,L,X,0;LEV_SATIS,L,X,1;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-485908SEX,T;DS-485908AGE,Y_GE16;DS-485908UNIT,PC;DS-485908INDICATORS,OBS_FLAG;DS-485908ISCED97,TOTAL;DS-485908TIME,2013;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=LEV-SATIS_1_2_1_0&rankName9=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=true&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",336,null,"Temporary contracts",null,"n/a","Productive or main activity: Quality of employment - Temporary work","n/a","n/a","n/a","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=lfst_hhtemchi&lang=en","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",337,null,"Average job satisfaction",null,"n/a","Productive or main activity: Quality of employment - Assessment of quality of employment","n/a","http://ec.europa.eu/eurostat/statistics-explained/index.php/Quality_of_life_indicators_-_productive_or_main_activity","n/a","http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-485891_QID_5560E87_UID_-3F171EB0&layout=INDIC_WB,L,X,0;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-485891ISCED97,TOTAL;DS-485891SEX,T;DS-485891INDICATORS,OBS_FLAG;DS-485891AGE,Y_GE16;DS-485891TIME,2013;DS-485891UNIT,RTG;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=true&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",337,null,"Percentage of the population rating their job satisfaction as high, medium or low",null,"n/a","Productive or main activity: Quality of employment - Assessment of quality of employment","n/a","http://ec.europa.eu/eurostat/statistics-explained/index.php/Quality_of_life_indicators_-_productive_or_main_activity","n/a","http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-485908_QID_2C8DFEC7_UID_-3F171EB0&layout=INDIC_WB,L,X,0;LEV_SATIS,L,X,1;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-485908UNIT,PC;DS-485908INDICATORS,OBS_FLAG;DS-485908ISCED97,TOTAL;DS-485908SEX,T;DS-485908AGE,Y_GE16;DS-485908TIME,2013;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=LEV-SATIS_1_2_1_0&rankName9=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=true&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",337,null,"Possibility to influence content and order of tasks (to be developed)",null,"n/a","Productive or main activity: Quality of employment - Assessment of quality of employment","n/a","http://ec.europa.eu/eurostat/statistics-explained/index.php/Quality_of_life_indicators_-_productive_or_main_activity","n/a","n/a","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",337,null,"Good relationship with colleagues (to be developed)",null,"n/a","Productive or main activity: Quality of employment - Assessment of quality of employment","n/a","http://ec.europa.eu/eurostat/statistics-explained/index.php/Quality_of_life_indicators_-_productive_or_main_activity","n/a","n/a","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",337,null,"Good relationship with direct supervisor (to be developed)",null,"n/a","Productive or main activity: Quality of employment - Assessment of quality of employment","n/a","http://ec.europa.eu/eurostat/statistics-explained/index.php/Quality_of_life_indicators_-_productive_or_main_activity","n/a","n/a","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",340,null,"Social interactions: Frequency of getting together with friends",null,"n/a","Social interactions - Activities with people","n/a","n/a","n/a","http://ec.europa.eu/eurostat/documents/118025/118132/Module2006_PS060.xls/234fb0f3-e597-48d8-ba5d-4740b3758588","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",340,null,"Social interactions: Average satisfaction with personal relationships",null,"n/a","Social interactions - Activities with people","n/a","n/a","n/a","http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-485891_QID_4058F589_UID_-3F171EB0&layout=INDIC_WB,L,X,0;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-485891ISCED97,TOTAL;DS-485891SEX,T;DS-485891INDICATORS,OBS_FLAG;DS-485891AGE,Y_GE16;DS-485891TIME,2013;DS-485891UNIT,RTG;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=true&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",340,null,"Social interactions: Percentage of the population rating their satisfaction with personal relationships as high, medium or low",null,"n/a","Social interactions - Activities with people","n/a","n/a","n/a","http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-485908_QID_-16F7B2F6_UID_-3F171EB0&layout=INDIC_WB,L,X,0;LEV_SATIS,L,X,1;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-485908UNIT,PC;DS-485908INDICATORS,OBS_FLAG;DS-485908ISCED97,TOTAL;DS-485908SEX,T;DS-485908AGE,Y_GE16;DS-485908TIME,2013;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=LEV-SATIS_1_2_1_0&rankName9=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=true&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",340,null,"Social interactions: Feeling of loneliness",null,"n/a","Social interactions - Activities with people","n/a","n/a","n/a","n/a","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",341,null,"Social interactions: Participation in informal voluntary activities (PS100)",null,"n/a","Social interactions - Activities for people","n/a","n/a","n/a","http://ec.europa.eu/eurostat/documents/118025/118132/Module2006_PS100.xls/ec2618a1-f972-4fb8-924f-31ca91f9d10a","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",341,null,"Social interactions: Participation in activities of charitable organisations (PS150) ",null,"n/a","Social interactions - Activities for people","n/a","n/a","n/a","http://ec.europa.eu/eurostat/documents/118025/118132/Module2006_PS150.xls/acc85767-bc29-44fd-ba55-dd6090e65534","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",342,null,"Social interactions: Having someone to rely on in case of need",null,"n/a","Social interactions - Supportive relationships","n/a","n/a","n/a","http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-516018_QID_-3B4CCFDC_UID_-3F171EB0&layout=YES_NO,L,X,0;GEO,L,Y,0;UNIT,L,Z,0;TIME,C,Z,1;ISCED97,L,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-516018SEX,T;DS-516018INDICATORS,OBS_FLAG;DS-516018ISCED97,TOTAL;DS-516018UNIT,PC;DS-516018AGE,Y_GE16;DS-516018TIME,2013;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=GEO_1_2_0_1&rankName4=AGE_1_2_-1_2&rankName5=INDICATORS_1_2_-1_2&rankName6=YES-NO_1_2_0_0&rankName7=SEX_1_2_-1_2&rankName8=ISCED97_1_2_-1_2&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=true&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",342,null,"Social interactions: Having someone to discuss personal matters with (SILC 2013)",null,"n/a","Social interactions - Supportive relationships","n/a","n/a","n/a","n/a","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",343,null,"Average rating of life satisfaction by sex, age and educational attainment level ","Subjective well-being encompasses three distinct but complementary sub-dimensions: life satisfaction, based on an overall cognitive assessment; affects, or the presence of positive feelings and absence of negative feelings; and eudaimonics, the feeling that one’s life has a meaning.\nLife satisfaction represents how a person evaluates or appraises his or her life taken as a whole. It is intended to cover a broad, reflective appraisal the person makes of his or her life. The term «life» is intended here as all areas of a person’s existence. The variable therefore refers to the respondent’s opinion/feeling about the degree of satisfaction with his/her life. It focuses on how people are feeling \"these days\" rather than specifying a longer or shorter time period. The intent is not to obtain the current emotional state of the respondent but to receive a reflective judgement on their level of satisfaction.\nSatisfaction with particular life domains (financial situation, housing, job, commuting time, living environment, green and recreational areas, time use and personal relationships) also represent a broad subjective assessment of the respetive area taking into account individual situations and preferences.\n\"Meaning of life\" represents the eudaimonic aspect of well-being, whether or not the inviduals deem their life as being worthwhile. It is not related to any specific area of life, focuses rather on life in general.\nThe frequency of positive emotions (happiness) in the last four weeks represents the affects dimension of well-being.\nTrust in others and in institutions (legal system, political system and the police) is of a general nature and it should not apply to a specific group of people or institution. The legal and political system encompass all institutions in the respective categories, whether local, national or transnational.\nThe availability of social support refers to the one's possibility to ask for help (any kind of help: moral, material or financial) from any relatives, friends or neighbours, whether thethe person needs it or not. Only relatives and friends (or neighbours) who don't live in the same household are considered.","n/a","Overall experience of life: Life satisfaction [Personal well-being indicators]","n/a","n/a","n/a","http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-485891_QID_1005C868_UID_-3F171EB0&layout=INDIC_WB,L,X,0;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-485891ISCED97,TOTAL;DS-485891SEX,T;DS-485891INDICATORS,OBS_FLAG;DS-485891AGE,Y_GE16;DS-485891TIME,2013;DS-485891UNIT,RTG;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=false&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",343,null,"Average rating of life satisfaction by income quintile, household type and degree of urbanisation","Subjective well-being encompasses three distinct but complementary sub-dimensions: life satisfaction, based on an overall cognitive assessment; affects, or the presence of positive feelings and absence of negative feelings; and eudaimonics, the feeling that one’s life has a meaning.\nLife satisfaction represents how a person evaluates or appraises his or her life taken as a whole. It is intended to cover a broad, reflective appraisal the person makes of his or her life. The term «life» is intended here as all areas of a person’s existence. The variable therefore refers to the respondent’s opinion/feeling about the degree of satisfaction with his/her life. It focuses on how people are feeling \"these days\" rather than specifying a longer or shorter time period. The intent is not to obtain the current emotional state of the respondent but to receive a reflective judgement on their level of satisfaction.\nSatisfaction with particular life domains (financial situation, housing, job, commuting time, living environment, green and recreational areas, time use and personal relationships) also represent a broad subjective assessment of the respetive area taking into account individual situations and preferences.\n\"Meaning of life\" represents the eudaimonic aspect of well-being, whether or not the inviduals deem their life as being worthwhile. It is not related to any specific area of life, focuses rather on life in general.\nThe frequency of positive emotions (happiness) in the last four weeks represents the affects dimension of well-being.\nTrust in others and in institutions (legal system, political system and the police) is of a general nature and it should not apply to a specific group of people or institution. The legal and political system encompass all institutions in the respective categories, whether local, national or transnational.\nThe availability of social support refers to the one's possibility to ask for help (any kind of help: moral, material or financial) from any relatives, friends or neighbours, whether thethe person needs it or not. Only relatives and friends (or neighbours) who don't live in the same household are considered.","n/a","Overall experience of life: Life satisfaction [Personal well-being indicators]","n/a","n/a","n/a","http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-485889_QID_-593FF057_UID_-3F171EB0&layout=INDIC_WB,L,X,0;GEO,L,Y,0;UNIT,L,Z,0;DEG_URB,L,Z,1;QUANTILE,L,Z,2;TIME,C,Z,3;HHTYP,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-485889QUANTILE,TOTAL;DS-485889HHTYP,TOTAL;DS-485889DEG_URB,TOTAL;DS-485889UNIT,RTG;DS-485889TIME,2013;DS-485889INDICATORS,OBS_FLAG;&rankName1=HHTYP_1_2_-1_2&rankName2=TIME_1_0_-1_2&rankName3=UNIT_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=QUANTILE_1_2_-1_2&rankName6=DEG-URB_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=false&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",343,null,"Percentage of the population rating their life satisfaction as high, medium or low by domain, sex, age and educational attainment level ",null,"n/a","Overall experience of life: Life satisfaction [Personal well-being indicators]","n/a","n/a","n/a","http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-485908_QID_-29EE7E46_UID_-3F171EB0&layout=INDIC_WB,L,X,0;GEO,L,Y,0;UNIT,L,Z,0;LEV_SATIS,L,Z,1;ISCED97,L,Z,2;TIME,C,Z,3;SEX,L,Z,4;AGE,L,Z,5;INDICATORS,C,Z,6;&zSelection=DS-485908SEX,T;DS-485908AGE,Y_GE16;DS-485908UNIT,PC;DS-485908INDICATORS,OBS_FLAG;DS-485908ISCED97,TOTAL;DS-485908LEV_SATIS,HIGH;DS-485908TIME,2013;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=LEV-SATIS_1_2_-1_2&rankName7=ISCED97_1_2_-1_2&rankName8=INDIC-WB_1_2_0_0&rankName9=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=false&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",344,null,"Negative affects (under development in SILC 2013)",null,"n/a","Overall experience of life: Affects","n/a","n/a","n/a","n/a","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",344,null,"Frequency of being happy in the last 4 weeks by age, sex and educational attainment level",null,"n/a","Overall experience of life: Affects","n/a","n/a","n/a","http://ec.europa.eu/eurostat/product?mode=view&code=ilc_pw08","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",344,null,"Frequency of being happy in the last 4 weeks by income quintile, degree of urbanisation and household type",null,"n/a","Overall experience of life: Affects","n/a","n/a","n/a","http://ec.europa.eu/eurostat/product?mode=view&code=ilc_pw09","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",344,null,"Assesing whether life is worthwhile: Average rating by sex, age and educational attainment level",null,"n/a","Overall experience of life: Meaning and purpose -  Assesing whether life is worthwhile ","n/a","n/a","n/a","http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-485891_QID_-7BCE008A_UID_-3F171EB0&layout=INDIC_WB,L,X,0;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-485891ISCED97,TOTAL;DS-485891SEX,T;DS-485891INDICATORS,OBS_FLAG;DS-485891AGE,Y_GE16;DS-485891TIME,2013;DS-485891UNIT,RTG;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=false&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",344,null,"Percentage of the population rating meaning of life as high, medium or low by domain, sex, age and educational attainment level ",null,"n/a","Overall experience of life: Meaning and purpose -  Assesing whether life is worthwhile ","n/a","n/a","n/a","http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-485908_QID_-3EBD82D5_UID_-3F171EB0&layout=INDIC_WB,L,X,0;GEO,L,Y,0;UNIT,L,Z,0;LEV_SATIS,L,Z,1;ISCED97,L,Z,2;TIME,C,Z,3;SEX,L,Z,4;AGE,L,Z,5;INDICATORS,C,Z,6;&zSelection=DS-485908SEX,T;DS-485908AGE,Y_GE16;DS-485908UNIT,PC;DS-485908INDICATORS,OBS_FLAG;DS-485908ISCED97,TOTAL;DS-485908LEV_SATIS,HIGH;DS-485908TIME,2013;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=LEV-SATIS_1_2_-1_2&rankName7=ISCED97_1_2_-1_2&rankName8=INDIC-WB_1_2_0_0&rankName9=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=false&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",null,null,"Early leavers from education and training",null,"n/a","Education - Competences and skills: Educational attainment","n/a","n/a","n/a","http://ec.europa.eu/eurostat/product?mode=view&code=t2020_40","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",null,null,"Individuals' level of Internet skills",null,"n/a","Education - Competences and skills: Self-reported skills","n/a","n/a","n/a","http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-055644_QID_-3EBB667_UID_-3F171EB0&layout=TIME,C,X,0;GEO,L,Y,0;INDIC_IS,L,Z,0;IND_TYPE,L,Z,1;UNIT,L,Z,2;INDICATORS,C,Z,3;&zSelection=DS-055644INDICATORS,OBS_FLAG;DS-055644INDIC_IS,I_ISRCH;DS-055644UNIT,PC_IND;DS-055644IND_TYPE,IND_TOTAL;&rankName1=UNIT_1_2_-1_2&rankName2=INDICATORS_1_2_-1_2&rankName3=INDIC-IS_1_2_-1_2&rankName4=IND-TYPE_1_2_-1_2&rankName5=TIME_1_0_0_0&rankName6=GEO_1_2_0_1&sortC=ASC_-1_FIRST&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=false&lang=FR&cfo=%23%23%23.%23%23%23%2C%23%23%23","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",null,null,"Population reporting not to know any foreign language",null,"n/a","Education - Competences and skills: Self-reported skills","n/a","n/a","n/a","http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-108731_QID_F44F32_UID_-3F171EB0&layout=N_LANG,L,X,0;GEO,L,Y,0;TIME,C,Z,0;SEX,L,Z,1;UNIT,L,Z,2;INDICATORS,C,Z,3;&zSelection=DS-108731UNIT,PC;DS-108731INDICATORS,OBS_FLAG;DS-108731SEX,T;DS-108731TIME,2011;&rankName1=TIME_1_1_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=INDICATORS_1_2_-1_2&rankName4=SEX_1_2_-1_2&rankName5=N-LANG_1_2_0_0&rankName6=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=false&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",null,null,"Level of the best-known foreign language",null,"n/a","Education - Competences and skills: Self-reported skills","n/a","n/a","n/a","http://ec.europa.eu/eurostat/product?mode=view&code=edat_aes_l31","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",null,null,"Programme for the International Assesssment of Adult Competencies (PIAAC)",null,"n/a","Education - Competences and skills: Assessed skills","n/a","n/a","n/a","http://www.oecd.org/site/piaac/","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",null,null,"People that participated in education or training in the four preceding weeks",null,"n/a","Education - Life-long learning","n/a","n/a","n/a","http://ec.europa.eu/eurostat/product?mode=view&code=trng_lfs_02","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",null,null,"Population unable to face unexpected financial expenses",null,"n/a","Economic and physical safety: Economic security and vulnerability - Wealth (assets)","n/a","n/a","n/a","http://ec.europa.eu/eurostat/product?mode=view&code=ilc_mdes04","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",null,null,"Population in arrears",null,"n/a","Economic and physical safety: Economic security and vulnerability - Debt","n/a","n/a","n/a","http://ec.europa.eu/eurostat/product?mode=view&code=ilc_mdes05","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",null,null,"Percentage of employed in the previous year transitioning to unemployment this year",null,"n/a","Economic and physical safety: Economic security and vulnerability - Income insecurity (including job)","n/a","n/a","n/a","http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-163765_QID_72DB291_UID_-3F171EB0&layout=TIME,C,X,0;GEO,L,Y,0;TRANS1Y,L,Z,0;WSTATUS,L,Z,1;SEX,L,Z,2;INDICATORS,C,Z,3;&zSelection=DS-163765WSTATUS,EMP;DS-163765TRANS1Y,TO_FT;DS-163765INDICATORS,OBS_FLAG;DS-163765SEX,T;&rankName1=WSTATUS_1_2_-1_2&rankName2=TRANS1Y_1_2_-1_2&rankName3=INDICATORS_1_2_-1_2&rankName4=SEX_1_2_-1_2&rankName5=TIME_1_0_0_0&rankName6=GEO_1_2_0_1&sortC=ASC_-1_FIRST&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=NONE&time_most_recent=false&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",null,null,"Long-term unemployment rate",null,"n/a","Productive or main activity: Quantity of employment - Employment and unemployment","n/a","n/a","n/a","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=une_ltu_a&lang=en","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",null,null,"Underemployed part-time workers (% of active population)",null,"n/a","Productive or main activity: Quantity of employment - UnderEmployment, quantity","n/a","n/a","n/a","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=lfsi_sup_age_a&lang=en","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",null,null,"Overqualification rate (under development)",null,"n/a","Productive or main activity: Quantity of employment - UnderEmployment, quality","n/a","n/a","n/a","n/a","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",null,null,"S80/S20 income quintile share ratio",null,"n/a","Material living conditions: Income","n/a","n/a","n/a","http://ec.europa.eu/eurostat/product?mode=view&code=ilc_di11","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",null,null,"Average satisfaction with financial situation of the household",null,"n/a","Material living conditions: Income","n/a","n/a","n/a","http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-485891_QID_-51330E20_UID_-3F171EB0&layout=INDIC_WB,L,X,0;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-485891ISCED97,TOTAL;DS-485891SEX,T;DS-485891INDICATORS,OBS_FLAG;DS-485891AGE,Y_GE16;DS-485891TIME,2013;DS-485891UNIT,RTG;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=true&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",null,null,"Percentage of the population rating their satisfaction of their financial situation as high, medium or low ",null,"n/a","Material living conditions: Income","n/a","n/a","n/a","http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-485908_QID_-24BA9028_UID_-3F171EB0&layout=INDIC_WB,L,X,0;LEV_SATIS,L,X,1;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-485908UNIT,PC;DS-485908INDICATORS,OBS_FLAG;DS-485908ISCED97,TOTAL;DS-485908SEX,T;DS-485908AGE,Y_GE16;DS-485908TIME,2013;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=LEV-SATIS_1_2_1_0&rankName9=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=true&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",null,null,"Basic expenses to total household budget ratio (under development from HBS)",null,"n/a","Material living conditions: Constrained consumption","n/a","n/a","n/a","n/a","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",null,null,"Actual individual consumption per capita in PPS","Actual individual consumption refers to all goods and services actually consumed by households. Further explanation can be found here.\nThe Purchasing Power Standards, abbreviated as PPS, is an artificial currency unit. Theoretically, one PPS can buy the same amount of goods and services in each country. Further explanations on PPS can be found here.","n/a","Material living conditions: Consumption (including non-market consumption and government provided services)","n/a","n/a","n/a","http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-053404_QID_-2E72B9D6_UID_-3F171EB0&layout=TIME,C,X,0;GEO,L,Y,0;INDIC_NA,L,Z,0;AGGREG95,L,Z,1;INDICATORS,C,Z,2;&zSelection=DS-053404INDIC_NA,EXP_PPS_EU27_HAB;DS-053404AGGREG95,A01;DS-053404INDICATORS,OBS_FLAG;&rankName1=INDICATORS_1_2_-1_2&rankName2=AGGREG95_1_2_-1_2&rankName3=INDIC-NA_1_2_-1_2&rankName4=TIME_1_0_0_0&rankName5=GEO_1_2_0_1&sortC=ASC_-1_FIRST&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=NONE&time_most_recent=false&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",null,null,"Experienced discrimination (to be developed)",null,"n/a","Governance and basic rights: Discrimination and equal opportunities","n/a","n/a","n/a","n/a","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",null,null,"Gender employment gap",null,"n/a","Governance and basic rights: Discrimination and equal opportunities","n/a","n/a","n/a","http://ec.europa.eu/eurostat/product?mode=view&code=tesem060","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",null,null,"Gender pay gap",null,"n/a","Governance and basic rights: Discrimination and equal opportunities","n/a","n/a","n/a","http://ec.europa.eu/eurostat/product?mode=view&code=earn_gr_gpgr2","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",null,null,"Active citizenship ","the degree to which citizens exercise their fundamental right of free association to pursue their political interests (such as involvement in political parties and participation in trade unions) is an important indicator of active citizenship","n/a","Governance and basic rights: Active citizenship","n/a","n/a","n/a","n/a","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",null,null,"Voice and accountability (to be developed)",null,"n/a","Governance and basic rights: Active citizenship","n/a","n/a","n/a","n/a","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",null,null,"Participation in political parties and/or trade unions (PS110)",null,"n/a","Governance and basic rights: Active citizenship","n/a","n/a","n/a","http://ec.europa.eu/eurostat/documents/118025/118132/Module2006_PS110.xls/685b4be1-d927-4376-b315-ae4ee0459f75","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",null,null,"Quantity of leisure: Average satisfaction with time use",null,"n/a","Leisure - Quantity","n/a","n/a","n/a","http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-485891_QID_2371BB03_UID_-3F171EB0&layout=INDIC_WB,L,X,0;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-485891ISCED97,TOTAL;DS-485891SEX,T;DS-485891INDICATORS,OBS_FLAG;DS-485891AGE,Y_GE16;DS-485891TIME,2013;DS-485891UNIT,RTG;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=true&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",null,null,"Quantity of leisure: Percentage of the population rating their satisfaction with time use as high, medium or low",null,"n/a","Leisure - Quantity","n/a","n/a","n/a","http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-485908_QID_-7FEFD6B7_UID_-3F171EB0&layout=INDIC_WB,L,X,0;LEV_SATIS,L,X,1;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-485908UNIT,PC;DS-485908INDICATORS,OBS_FLAG;DS-485908ISCED97,TOTAL;DS-485908SEX,T;DS-485908AGE,Y_GE16;DS-485908TIME,2013;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=LEV-SATIS_1_2_1_0&rankName9=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=true&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",null,null,"Quality of leisure",null,"n/a","Leisure - Quality","n/a","n/a","n/a","n/a","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",null,null,"Percentage of people going to the cinema in 2005 (PS010)",null,"n/a","Leisure - Accesss","n/a","n/a","n/a","http://ec.europa.eu/eurostat/documents/118025/118132/Module2006_PS010.xls/685b4be1-d927-4376-b315-ae4ee0459f75","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",350,null,"Employment rate",null,"n/a","Productive or main activity: Quantity of employment - Employment and unemployment","n/a","n/a","n/a","http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-055844_QID_-7E87E554_UID_-3F171EB0&layout=TIME,C,X,0;GEO,L,Y,0;SEX,L,Z,0;AGE,L,Z,1;ISCED11,L,Z,2;UNIT,L,Z,3;INDICATORS,C,Z,4;&zSelection=DS-055844UNIT,PC;DS-055844ISCED11,TOTAL;DS-055844INDICATORS,OBS_FLAG;DS-055844AGE,Y15-64;DS-055844SEX,T;&rankName1=ISCED11_1_2_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=TIME_1_0_0_0&rankName7=GEO_1_2_0_1&sortC=ASC_-1_FIRST&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=NONE&time_most_recent=false&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",351,null,"Unemployment rate",null,"n/a","Productive or main activity: Quantity of employment - Employment and unemployment","n/a","n/a","n/a","http://ec.europa.eu/eurostat/product?mode=view&code=lfsa_urgaed","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",352,null,"People living in households with very low work intensity: by age and sex, by income quintile and household type",null,"n/a","Productive or main activity: Quantity of employment - UnderEmployment, quantity","n/a","n/a","n/a","http://ec.europa.eu/eurostat/product?mode=view&code=ilc_lvhl11","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",353,null,"Mean and median income",null,"n/a","Material living conditions: Income","n/a","n/a","n/a","http://ec.europa.eu/eurostat/product?mode=view&code=ilc_di03","http://ec.europa.eu/eurostat/cache/metadata/en/ilc_esms.htm"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",354,null,"At-risk-of-poverty rate",null,"n/a","Material living conditions: Income","n/a","n/a","n/a","http://ec.europa.eu/eurostat/product?mode=view&code=ilc_li02","http://ec.europa.eu/eurostat/cache/metadata/en/ilc_esms.htm"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",354,null,"At-risk-of-poverty rate anchored at a fixed moment in time (2008) ",null,"n/a","Material living conditions: Income","n/a","n/a","n/a","http://ec.europa.eu/eurostat/product?mode=view&code=ilc_li22b","http://ec.europa.eu/eurostat/cache/metadata/en/ilc_esms.htm"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",354,null,"Severely materially deprived people",null,"n/a","Material living conditions: Material deprivation","n/a","n/a","n/a","http://ec.europa.eu/eurostat/product?mode=view&code=t2020_53","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",354,null,"(In)ability to make ends meet",null,"n/a","Material living conditions: Material deprivation","n/a","n/a","n/a","http://ec.europa.eu/eurostat/product?mode=view&code=ilc_mdes09","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",357,null,"Average rating of trust in institutions: Legal system",null,"n/a","Governance and basic rights: Institutions and public services - Trust and/or satisfaction in institutions","n/a","n/a","n/a","http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-516020_QID_2185C53_UID_-3F171EB0&layout=INDIC_WB,L,X,0;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-516020SEX,T;DS-516020TIME,2013;DS-516020INDICATORS,OBS_FLAG;DS-516020ISCED97,TOTAL;DS-516020UNIT,RTG;DS-516020AGE,Y_GE16;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=true&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",357,null,"Average rating of trust in institutions: Police",null,"n/a","Governance and basic rights: Institutions and public services - Trust and/or satisfaction in institutions","n/a","n/a","n/a","http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-516020_QID_2C3047BA_UID_-3F171EB0&layout=INDIC_WB,L,X,0;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-516020SEX,T;DS-516020TIME,2013;DS-516020INDICATORS,OBS_FLAG;DS-516020ISCED97,TOTAL;DS-516020UNIT,RTG;DS-516020AGE,Y_GE16;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=true&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",357,null,"Average rating of trust in institutions: Political system",null,"n/a","Governance and basic rights: Institutions and public services - Trust and/or satisfaction in institutions","n/a","n/a","n/a","http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-516020_QID_36B03110_UID_-3F171EB0&layout=INDIC_WB,L,X,0;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-516020SEX,T;DS-516020TIME,2013;DS-516020INDICATORS,OBS_FLAG;DS-516020ISCED97,TOTAL;DS-516020UNIT,RTG;DS-516020AGE,Y_GE16;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=true&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",357,null,"Satisfaction with public services (to be developed)",null,"n/a","Governance and basic rights: Institutions and public services - Trust and/or satisfaction in public services","n/a","n/a","n/a","n/a","n/a"]
["A","7_Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",358,null,"Average rating of trust in others",null,"n/a","Social interactions - Social cohesion","n/a","n/a","n/a","http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-516020_QID_8819B38_UID_-3F171EB0&layout=INDIC_WB,L,X,0;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-516020SEX,T;DS-516020TIME,2013;DS-516020INDICATORS,OBS_FLAG;DS-516020ISCED97,TOTAL;DS-516020UNIT,RTG;DS-516020AGE,Y_GE16;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=true&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23","n/a"]
["A","8_Eurostat (2015) Sustainable development indicators, from http://ec.europa.eu/eurostat/web/sdi/indicators ",2,"nA","Self-reported unmet needs for medical care due to being too expensive, by income quintile","the share of the population reporting that at least once in the previous 12 months they could not afford medical examination or treatment.","n/a","n/a","n/a","n/a","Health and health inequalities","n/a","http://ec.europa.eu/eurostat/cache/metadata/DE/tsdph270_esmsip.htm"]
["A","8_Eurostat (2015) Sustainable development indicators, from http://ec.europa.eu/eurostat/web/sdi/indicators ",244,"nA","Life expectancy at birth, by sex",null,"n/a","n/a","n/a","n/a","n/a","n/a","http://ec.europa.eu/eurostat/cache/metadata/DE/tsdph100_esmsip.htm"]
["A","8_Eurostat (2015) Sustainable development indicators, from http://ec.europa.eu/eurostat/web/sdi/indicators ",246,"nA","Healthy life years by sex",null,"n/a","n/a","n/a","n/a","n/a","n/a","http://ec.europa.eu/eurostat/cache/metadata/DE/tsdph100_esmsip.htm"]
["A","8_Eurostat (2015) Sustainable development indicators, from http://ec.europa.eu/eurostat/web/sdi/indicators ",260,"nA","Death rate due to chronic diseases, by sex","It is defined as the standardised death rate per 100 000 persons of certain chronic diseases for persons aged under 65 years, by gender.\nThe following diseases have been considered:malignant neoplasms, diabetes mellitus, ischaemic heart diseases, cerebrovascular diseases, chronic lower respiratory diseases, and chronic liver diseases.","n/a","n/a","n/a","n/a","Health and health inequalities","n/a","http://ec.europa.eu/eurostat/cache/metadata/DE/tsdph210_esmsip.htm"]
["A","8_Eurostat (2015) Sustainable development indicators, from http://ec.europa.eu/eurostat/web/sdi/indicators ",264,"nA","Suicide death rate, by age group","the crude death rate from suicide and intentional self-harm per 100 000 people, by age group and sex.","n/a","n/a","n/a","n/a","Health and health inequalities","n/a","http://ec.europa.eu/eurostat/cache/metadata/DE/tsdph240_esmsip.htm"]
["A","8_Eurostat (2015) Sustainable development indicators, from http://ec.europa.eu/eurostat/web/sdi/indicators ",278,"nA","People having a long-standing illness or health problem, by income quintile","the share of the population aged 16 and over reporting a long-standing (chronic) illness or health problem.\nNote on the interpretation: The indicator is derived from self-reported data so it is, to a certain extent, affected by respondents’ subjective perception as well as by their social and cultural background. Another factor playing a role is the different organisation of health care services, be that nationally or locally. All these factors should be taken into account when analysing the data and interpreting the results.","n/a","n/a","n/a","n/a","Health and health inequalities","n/a","n/a"]
["A","8_Eurostat (2015) Sustainable development indicators, from http://ec.europa.eu/eurostat/web/sdi/indicators ",291,"nA","Accidents at work by sex and age",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A","8_Eurostat (2015) Sustainable development indicators, from http://ec.europa.eu/eurostat/web/sdi/indicators ",321,"nA","Urban population exposure to air pollution, by particulate matter","shows the population weighted annual mean concentration of particulate matter at urban background stations in agglomerations. Fine and coarse particulates (PM10), i.e. particulates whose diameters are less than 10 micrometers, can be carried deep into the lungs where they can cause inflammation and a worsening of the condition of people with heart and lung diseases.","n/a","n/a","n/a","n/a","n/a","n/a","http://ec.europa.eu/eurostat/cache/metadata/EN/tsdph370_esmsip.htm"]
["A","8_Eurostat (2015) Sustainable development indicators, from http://ec.europa.eu/eurostat/web/sdi/indicators ",322,"nA","Urban population exposure to air pollution, by ozone","shows the population weighted yearly sum of maximum daily 8-hour mean ozone concentrations above a threshold (70 ug/m3) at the urban background stations in agglomerations.","n/a","n/a","n/a","n/a","n/a","n/a","http://ec.europa.eu/eurostat/cache/metadata/DE/tsdph380_esmsip.htm"]
["A","8_Eurostat (2015) Sustainable development indicators, from http://ec.europa.eu/eurostat/web/sdi/indicators ",323,"nA","Index of production of toxic chemicals, by toxicity class","presents the trend in aggregated production volumes of toxic chemicals, broken down into five toxicity classes. The toxicity classes, beginning with the most dangerous, are: carcinogenic, mutagenic and reprotoxic (CMR-chemicals);  chronic toxic chemicals; very toxic chemicals; toxic chemicals; and harmful chemicals.\nThe indicator is a Sustainable Development Indicator (SDI). It has been chosen for the assessment of the EU progress towards the targets of the Sustainable Development Strategy.","n/a","n/a","n/a","n/a","Determinants of health","n/a","http://ec.europa.eu/eurostat/cache/metadata/DE/tsdph320_esmsip.htm"]
["A","8_Eurostat (2015) Sustainable development indicators, from http://ec.europa.eu/eurostat/web/sdi/indicators ",324,"nA","Proportion of population living in households considering that they suffer from noise","The percentage of the total population who declare that they are affected either by noise from neighbours or from outside.","n/a","n/a","n/a","n/a","n/a","n/a","http://ec.europa.eu/eurostat/cache/metadata/DE/tsdph390_esmsip.htm"]
["A","9_European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",356,2,"Spending on social protection, EU-28, % of GDP, 2013",null,"n/a","n/a","n/a","Eurostat","n/a","n/a","n/a"]
["A","9_European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",356,3,"Structure of social protection expenditure, EU-28, % of total expenditure, 2012","old age and survivors, sickness/health care, family/children, disability, unemployment, administration costs, housing, social exclusion, other expenditure","n/a","n/a","n/a","Eurostat","n/a","n/a","n/a"]
["A","9_European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",356,4,"Overall social protection expenditure, real growth trends in the EU,",null,"n/a","n/a","n/a","European Commission (2016), Employment and Social Developments Report 2015","n/a","n/a","n/a"]
["A","9_European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",227,5,"old-age dependency ratio","ratio of people aged 65 or above relative to those aged 15-64","n/a","n/a","n/a","Eurostat","n/a","n/a","n/a"]
["A","9_European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",226,6,"Absolute change in population age structure, EU28, actual (2000-2014), medium scenario (2015 -2060) in millions",null,"n/a","n/a","n/a","Eurostat","n/a","n/a","n/a"]
["A","9_European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",226,7,"Age structure, EU28",null,"n/a","n/a","n/a","Eurostat, Europop 2013","n/a","n/a","n/a"]
["A","9_European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",null,8,"Participation rate in training and education by age in EU, %",null,"n/a","n/a","n/a","Eurostat","n/a","n/a","n/a"]
["A","9_European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",350,9,"Employment rates of women and men (age group 15-64), and older adults (age group 55-65), EU28, %",null,"n/a","n/a","n/a","Eurostat","n/a","n/a","n/a"]
["A","9_European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",345,10,"Breakdown of EU28 population","foreignz citizens from another MS, foreign citizens from non-EU citizens, Nationals","n/a","n/a","n/a","Eurostat, LFS","n/a","n/a","n/a"]
["A","9_European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",330,11,"Participation in early childhood education, (from 4 years to compulsory school age), EU-28",null,"n/a","n/a","n/a","Eurostat","n/a","n/a","n/a"]
["A","9_European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",null,12,"Early leavers from education and training EU-28","Early school leaving represents a loss of potential that has effects on both social and economic scale such as reduced social cohesion and lower financial incomes. In the long run, early school leaving has negative effects on social development and economic growth, which is very much based on qualified labour force. The reduction of the rate of early school leaving on European scale would supply the European economy with a substantial number of young people with qualifications who have better employment prospects.","n/a","n/a","n/a","Eurostat","n/a","n/a","n/a"]
["A","9_European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",355,13,"Gini Index: Long term trends in income inequalities","(mid-1980s to 2013 or latest available) (","n/a","n/a","n/a","OECD (2015)","n/a","n/a","n/a"]
["A","9_European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",null,14,"Gap in achievement in mathematics by socio-economic status, PISA",null,"n/a","n/a","n/a","OECD (PISA 2012)","n/a","n/a","n/a"]
["A","9_European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",244,15,"Development of life expectancy at 65 by socio-economic status",null,"n/a","n/a","n/a","European Commission (2016)","n/a","n/a","n/a"]
["A","9_European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",350,17,"Employment rates, EU28 and groups of countries, 2000-2015, % of age group 15-64",null,"n/a","n/a","n/a","Eurostat","n/a","n/a","n/a"]
["A","9_European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",351,18,"Total unemployment, annual average, %",null,"n/a","n/a","n/a","Eurostat","n/a","n/a","n/a"]
["A","9_European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",null,19,"Youth unemployment, in %",null,"n/a","n/a","n/a","Eurostat","n/a","n/a","n/a"]
["A","9_European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",null,20,"Long-term unemployment and youth long-term unemployment, %",null,"n/a","n/a","n/a","Eurostat","n/a","n/a","n/a"]
["A","9_European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",355,21,"Market income versus disposable household income, level of inequality, selected EU Member States, 2012 (Gini index)","check definition","n/a","The impact of social policy on inequality can be illustrated by comparing market income inequalities with inequalities of disposable income after transfers. The comparison shows the role of tax and trans-fer systems in reducing market income inequality.","n/a","Eurostat, European Commission (2015), ESDE 2014; Note: Income data are not available for all EU Member States","n/a","n/a","n/a"]
["A","9_European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",355,22,"Disposable household income, level of inequality, 2005-2014 (Gini coefficient)",null,"n/a","n/a","n/a","Eurostat","n/a","n/a","n/a"]
["A","9_European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",354,23,"People at risk of poverty by country, disaggregated by gender and age, % of population",null,"n/a","n/a","n/a","Eurostat","n/a","n/a","n/a"]
["A","9_European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",354,24,"Differences between women and men (pp) in at-risk of poverty and/or social exclusion (AROPE) rate",null,"n/a","Older people are, at present, better protected against poverty. However, there remain clear differences between men and women across much of the EU. Women above age 65 face a substantially higher risk of poverty or social exclusion than their male counterparts. For the EU as a whole, gender differences in the incidence of poverty amount to more than four percentage points for women between age 65 and 74, and increases to over six percentage points above age 75","n/a","Eurostat. Calculated as AROPE rate for women – AROPE rate for men (pps)","n/a","n/a","n/a"]
["A","9_European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",356,25,"Social protection expenditure (% of GDP) and reduction of inequality and poverty (in %)",null,"n/a","n/a","n/a","Eurostat, ESSPROS and EU-SILC, DG EMPL calculations","n/a","n/a","n/a"]
["A","9_European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",338,26,"Share of jobs at risk of automatisation (%)",null,"n/a","EU labour markets have been undergoing structural transformations in recent decades and more particularly since the mid-1990s. This trend accelerated during the crisis. Growing innovation, trade, and global value chains, propelled by digital technologies, have put a premium on service-related jobs and thus on high, non-routine and interpersonal skills. In other words, almost half of existing professions may be partly if not entirely computerised and automated in the medium term. ","n/a","Bruegel calculations based on Frey & Osborne (2013), ILO, EU Labour Force Survey","n/a","n/a","n/a"]
["A","9_European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",350,27,"\"Winners\" and \"losers\" among professions. Cumulative growth rate of distribution of population by occupation","legislators, senior officials and managers; professionals; technicians  and associate professionals; clerks; service workers and shop and market sales workers; skilled agricultural and fishery workers; craft and related trades workers; plant and machine operators and assemblers; elementary occupations; armed forces","n/a","These transformations will thus particularly affect production lines in the manufacturing sector, a particularly relevant point for Europe's industrial core, but they may also affect specific high-skilled occupations.\nFor instance, \"hollowing out\" effects are already tangible in higher-skill professions such as journalism, accounting, tax and management consultancy, legal and other advisory, eventually even education. \nManual work – in particular in manufacturing and agriculture – has in part been losing ground in recent years, which is more than the effect of the crisis and certainly also reflects the process of automation. ","n/a","Eurostat","n/a","n/a","n/a"]
["A","9_European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",350,28,"Change in total employment by sector in EU28, 2010-14, absolute numbers",null,"n/a","n/a","n/a","OECD, 2015","n/a","n/a","n/a"]
["A","9_European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",339,29,"Expected impact of technology (thousands of jobs gained/lost) by 2020",null,"n/a","n/a","n/a","World Economic Forum (2016), Future of Work Report. Based on Survey of CHROs of largest employers by industry. Focus countries: France, Germany, Italy, UK.","n/a","n/a","n/a"]
["A","9_European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",336,30,"Change in permanent, temporary employment and self-employment, EU 28",null,"n/a","Structural changes in employment have been reflected in the increase in temporary types of employment contracts across Member States. At the same time, transitions from unemployment to self-employment have decreased and the share of self-employed has slightly receded during the last decade. \nNew forms of flexible employment thus put the question of the nature, volume or duration of work, the capacity to identify the employers as well as the associated level of social protection, notably in terms sickness, unemployment and pension benefits.","n/a","Eurostat","n/a","n/a","n/a"]
["A","9_European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",336,31,"Share of temporary contracts and transitions from temporary to permanent",null,"n/a","n/a","n/a","Eurostat","n/a","n/a","n/a"]
["A","9_European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",336,32,"Part-time workers in % of total employment",null,"n/a","n/a","n/a","Eurostat","n/a","n/a","n/a"]
["A","9_European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",336,33,"Evolution of employment in occupational groups defined by problem-solving skills","high level, medium-low, low","n/a","n/a","n/a","OECD Skills Outlook","n/a","n/a","n/a"]
["A","9_European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",350,34,"Net Employment Change (in thousands) by job-wage quintile, EU27",null,"n/a","If skill levels largely determine access to opportunities, they also explain a sizeable part of the employment-wage gap. Permanent employment – associated with high skill levels – remains the best paid, the most secure and the fastest growing in Europe. During and immediately after the economic and financial crisis, employment only grew in jobs accounting for the lowest and highest job-wage quintile","n/a","European Commission (2016), Employment and Social Developments in Europe (ESDE) 2015","n/a","n/a","n/a"]
["A","9_European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",null,35,"Participation in adult education and training by labour status, %,",null,"n/a","n/a","n/a","Eurostat","n/a","n/a","n/a"]
["A","9_European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",349,36,"Current account balances crisis hit countries vs. surplus countries",null,"n/a","n/a","n/a","Eurostat. Estimates for 2015","n/a","n/a","n/a"]
["A","9_European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",349,37,"Nominal unit labour cost, EA north vs. EA south+Ireland",null,"n/a","n/a","n/a","Eurostat. Note: Estimates for 2015.","n/a","n/a","n/a"]
["A, B, C, D, E","1_EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",75,"77 (A)","Total health care expenditure by all financing agents (total, public and private sectors), as percentage of GDP ","financing agent: public (HF.1), private sector (HF.2); \n= current expenditure + expenditure on capital formation of health care providers","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A, B, C, D, E","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",75,null,"Total health care expenditure by all financing agents (total, public and private sectors)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A, B, D, E","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",86,null,"Expenditures on pharmaceuticals by all financing agents (total, public and private sectors)","Pharmaceutical expenditure covers spending on pre- scription medicines and self-medication, often referred to as over-.the-counter products. In some countries, other medical non-durable goods are also included. Pharmaceuticals consumed in hospitals and other health care settings are excluded. Final expendi- ture on pharmaceuticals includes wholesale and retail margins and value-added tax. It also includes phar- macists’ remuneration when the latter is separate from the price of medicines. Total pharmaceutical spending refers in most countries to “net” spending,\ni.e. adjusted for possible rebates payable by manufac- turers, wholesalers or pharmacies.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A, B, E","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",76,null,"Current health care expenditure (CHE) by all financing agents (total, public and private sectors)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["A, E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",14,19,"Percentage of preterm births delivered in maternity units without an on-site neonatal intensive care unit",null,"n/a","Antenatal, perinatal and postpartum care - Quality: integrated care","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",75,1,"(Current) Health expenditure as a share of GDP","Gross domestic product (GDP) = final consumption + gross capital formation + net exports. Final consump- tion of households includes goods and services used by households or the community to satisfy their indi- vidual needs. It includes final consumption expendi- ture of households, general government and non- profit institutions serving households.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",244,1,"Life expectancy at birth by sex","Life expectancy at birth measures how long, on average,\npeople would live based on a given set of age-specific\ndeath rates. However, the actual age-specific death\nrates of any particular birth cohort cannot be known in\nadvance. If age-specific death rates are falling (as has\nbeen the case over the past decades), actual life spans\nwill be higher than life expectancy calculated with\ncurrent death rates.","Life expectancy at birth for the total population is calculated by the OECD Secretariat for all OECD countries, using the unweighted average of life expectancy of men and women.\n\nLife expectancy at birth and at ages 40, 60, 65 and 80 years old is the average number of years\nthat a person at that age can be expected to live, assuming that age-specific mortality levels\nremain constant.","n/a","n/a","Eurostat","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",245,1,"Gap in life expectancy at age 30 by sex and educational level",null,"To calculate life expectancies by education level,\ndetailed data on deaths by sex, age and education\nlevel are needed. However, not all countries have\ninformation on education as part of their deaths data.\nData linkage to another source (e.g. a census) which\ndoes have information on education may be required","n/a","n/a","Eurostat","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",250,2,"Infant mortality","The infant mortality rate is the number of deaths of\nchildren under one year of age, expressed per\n1 000 live births.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",260,2,"Mortality from cardiovascular diseases","Deaths from ischemic heart disease are classified to ICD-10 codes I20-I25, and cerebrovascular disease to I60-I69.. \nAge-standardised death rates per 100 000 population for selected causes are calculated by the OECD\nSecretariat, using the total OECD population for 2010 as the reference population. The age-standardised death\nrates are necessary for comparing the level of mortality across countries and over time since they take into account\nthe differences in age structure of the populations. The direct method of standardisation is used for age-standardised\ncalculations.\n","n/a","n/a","n/a","WHO Mortality Database","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",260,2,"Mortality from cancer","Deaths from all cancers are classified to ICD-10 codes C00-C97. ","n/a","n/a","n/a","WHO Mortality Database","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",260,2,"Main causes of cancer deaths among men and women",null,"n/a","n/a","n/a","WHO Mortality Database","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",262,2,"Mortality from transport accidents","Deaths from transport accidents are classified to ICD-10 codes V01-V89.","n/a","n/a","n/a","WHO Mortality Database","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",264,2,"Suicide","The World Health Organization defines suicide as an\nact deliberately initiated and performed by a person in\nthe full knowledge or expectation of its fatal outcome.","Mortality rates are based on numbers of deaths registered\nin a country in a year divided by the size of the\ncorresponding population. The rates have been\ndirectly age-standardised to the 2010 OECD population\nto remove variations arising from differences in\nage structures across countries and over time.","n/a","n/a","WHO Mortality Database","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",280,2,"Cancer incidence","The incidence of all cancers is classified to ICD-10 codes C00-C97  (excluding non-melanoma skin cancer C44). Breast cancer corresponds to C50, and prostate cancer to C61.\nCancer incidence rates are based on numbers of new cases of cancer registered in a country in a year per 100 000 population. The rates have been directly age- standardised based on Segi’s world population to remove variations arising from differences in age struc- tures across countries and over time.","n/a","n/a","n/a","International Agency for Research on Cancer (IARC), GLOBOCAN 2012","gender, ","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",78,4,"Expenditure on health by type of financing as % of current health expenditure","The financing of health care can be analysed from the point of view of the sources of funding (households, employers and the state), financing schemes (e.g. compulsory or voluntary insurance) and financing agents (organisations managing the financing schemes). Here “financing” is used in the sense of financing schemes as defined in the System of Health Accounts (OECD, 2000; OECD, Eurostat and WHO, 2011). Public financing includes expenditure by the general government and social security funds. Private financ- ing covers households’ out-of-pocket payments, pri- vate health insurance and other private funds (NGOs and private corporations). Out-of-pocket payments are expenditures borne directly by patients. They include cost-sharing and, in certain countries, estima- tions of informal payments to health care providers.\nTotal government expenditure is used as defined in the System of National Accounts and includes as major components intermediate consumption, com- pensation of employees, interest, social benefits, social transfers in kind, subsidies, other current expenditure and capital expenditure payable by cen- tral, regional and local governments as well as social security funds.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",77,5,"Health expenditure as share of total government expenditure","Data refer to total health expenditure (= current health expenditure plus capital formation).","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",272,5,"Perceived health status among adults","Perceived health status reflects people’s overall perception\nof their health. Survey respondents are typically\nasked a question such as: “How is your health in\ngeneral? very good, good, fair, poor, very poor”.\nSelf-reported health by income level is reported for the first quintile (lowest 20% of income group) and the fifth quintile (highest 20%). Depending on the surveys, the income may relate either to the individ- ual or the household (in which case the income is equivalised to take into account the number of persons in the household).","n/a","n/a","n/a","n/a","income","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",78,6,"Growth of health spending by type of financing",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",93,7,"Share of hospital inpatient expenditures by main diagnostic category","Expenditure by disease and age allocates current health expenditure by patient characteristics. Guide- lines developed propose disease categories according to ICD-10. To ensure comparability between countries, expenditures are also linked to the System of Health Accounts (SHA) framework and a common methodol- ogy is proposed advocating primarily a top-down allo- cation of expenditures based on principal diagnosis. The main comparability issues relates to the treat- ment of non-allocated and non-disease-specific expenditures. In the former case this is due to data limitations (often in outpatient and pharmaceutical expenditure) and in the latter case mainly prevention and administration expenditure.\nCirculatory diseases; Cancer; Injury, poisoning and other consequences of external causes; Mental and behavioural disorders; Respiratory system; Diseases of musculoskeletal system; Digestive diseases and connective tissue","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",94,8,"Expenditure per hospital discharge for two diagnostic categories (circulatory disease, cancer)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",271,8,"Infant health: Low birth weight","Low birth weight is defined by the World Health\nOrganization (WHO) as the weight of an infant at birth\nof less than 2 500 grams (5.5 pounds) irrespective of\nthe gestational age of the infant. This threshold is\nbased on epidemiological observations regarding the\nincreased risk of death to the infant and serves for\ninternational comparative health statistics. The number\nof low weight births is expressed as a percentage of\ntotal live births.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",79,9,"Gross fixed capital formation in the healthcare sector as a share of GDP","Gross fixed capital formation in the health care system is measured by the total value of the fixed assets that health providers have acquired during the accounting period (less the value of the disposals of assets) and that are used repeatedly or continuously for more than one year in the production of health services. The breakdown by assets includes infrastructure (e.g. hospitals, clinics, etc.), machinery and equipment (including diagnostic and surgical machinery, ambulances, and ICT equipment), as well as soft- ware and databases.\nGross fixed capital formation is reported by many countries under the System of Health Accounts. It is also reported under the National Accounts broken down by industrial sector according to the International Standard Industrial Classification (ISIC) Rev. 4 using Section Q: Human health and social work activities or Division 86: Human health activities. The former is normally broader than the SHA boundary while the latter is narrower.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",1,null,"Health insurance coverage for a core set of services","Coverage for health care is defined here as the share of the population receiving a core set of health care goods and services under public programmes and through private health insurance. It includes those covered in their own name and their dependents. Public coverage refers both to government programmes, generally financed by taxation, and social health insurance, generally financed by payroll taxes. Take- up of private health insurance is often voluntary, although it may be mandatory by law or compulsory for employees as part of their working conditions. Premiums are generally non-income-related, although the purchase of private coverage can be subsidised by government.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",1,null,"Private health insurance coverage, by type",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",1,null,"Evolution in private health insurance coverage",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",2,null,"Unmet care needs for medical examination by income level","Unmet medical or dental care needs may be for financial reasons, waiting times or long distance to travel to get access to services.\nData on unmet care needs come from two main sources. First, the European Union Statistics on Income and Living Conditions survey (EU-SILC) ask survey respondents whether there was a time in the previous 12 months when they felt they needed a medical or dental examination but did not receive it, followed by a question as to why the need for care was unmet (with the reasons including that care was too expensive, the waiting time was too long, the travel- ling distance to receive care was too far, a lack of time, or that they wanted to wait and see if problem got better on its own). The data presented in Figures 7.4 and 7.5 cover unmet care needs due to cost, waiting time and travelling distance.\nThe second source is the 2013 Commonwealth Fund International Health Policy Survey which asks whether people did not visit a doctor when they had a medical problem, skipped a medical test, treatment, or follow-up that was recommended by a doctor, or did not fill prescription for medicines or skipped doses because of cost in the past year. This survey was carried out in eleven countries. Similar questions were also asked in the national survey in the Czech Republic a few years earlier (2010).\n","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",2,null,"Unmet care needs due to cost",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",4,null,"Unmet care needs for dental examination by income level","Unmet medical or dental care needs may be for financial reasons, waiting times or long distance to travel to get access to services.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",5,null,"Out-of-pocket medical spending as a share of final household consumption","Out-of-pocket payments are expenditures borne directly by a patient where neither public nor private insurance cover the full cost of the health good or service. They include cost-sharing and other expenditure paid directly by private households and should also include estimations of informal payments to health care providers. Only expenditure for medical spending (i.e. current health spending less expenditure for the health part of long-term care) is presented here, because the capacity of countries to estimate private long-term care expenditure varies widely.\nHousehold final consumption expenditure covers all purchases made by resident households to meet their everyday needs such as food, clothing, rent or health services.","n/a","n/a","n/a","n/a","services and goods","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",7,null,"Shares of out-of-pocket medical spending by services and goods","Out-of-pocket payments are expenditures borne directly by a patient where neither public nor private insurance cover the full cost of the health good or service. They include cost-sharing and other expenditure paid directly by private households and should also include estimations of informal payments to health care providers. Only expenditure for medical spending (i.e. current health spending less expenditure for the health part of long-term care) is presented here, because the capacity of countries to estimate private long-term care expenditure varies widely.\nHousehold final consumption expenditure covers all purchases made by resident households to meet their everyday needs such as food, clothing, rent or health services.","n/a","n/a","n/a","n/a","services and goods","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",12,null,"Geographic distribution of doctors: Physicians density in predominantly urban and rural regions","Regions are classified in two territorial levels. The higher level (Territorial Level 2) consists of large regions corresponding generally to national adminis- trative regions. These broad regions may contain a mix of urban, intermediate and rural areas. The lower level is composed of smaller regions classified as pre- dominantly urban, intermediate or rural regions, although there are variations across countries in the classification of these regions.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",22,null,"Waiting times for cataract surgery","measuring the waiting times for patients treated in a given period.\n","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",22,null,"Waiting times for knee replacement","measuring the waiting times for patients treated in a given period.\n","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",22,null,"Waiting times for hip replacement",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",32,null,"Practising doctors per 1 000 population","practising doctors, defined as the number of doctors who are providing care directly to patients. In many countries, the numbers include interns and residents (doctors in training). The numbers are based on head counts. ","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",32,null,"Share of doctors aged 55 years and over","practising doctors, defined as the number of doctors who are providing care directly to patients. In many countries, the numbers include interns and residents (doctors in training). The numbers are based on head counts. ","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",32,null,"Share of female doctors",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",32,null,"Practising pharmacists","Practicing pharmacists are defined as the number of phar- macists who are licensed to practice and provide direct services to clients/patients. They can be either salaried or self-employed, and work in community pharmacies, hospitals and other settings. Assistant pharmacists and the other employees of pharmacies are normally excluded.\nCommunity pharmacies are premises which in accordance to the local legal provisions and definitions may operate as a facility in the provision of pharmacy services in the community settings. The number of community phar- macies reported are the number of premises where dispensing of medicines happened under the supervision of a pharmacist.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",33,null,"Generalists and specialists as a share of all doctors","practising doctors, defined as the number of doctors who are providing care directly to patients. In many countries, the numbers include interns and residents (doctors in training). The numbers are based on head counts. ","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",36,null,"Medical graduates","Medical graduates are defined as the number of students who have graduated from medical schools in a given year. ","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",37,null,"Remuneration of doctors (general practitioners and specialists), ratio to average wage","The remuneration of doctors refers to average gross annual income, including social security contributions and income taxes payable by the employee. It should normally exclude practice expenses for self-employed doctors.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",37,null,"Growth in the remuneration of GPs and specialists",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",38,null,"Practising nurses per 1 000 population","The number of nurses includes those employed in public and private settings providing services directly to patients (“practising”) and in some cases also those working as managers, educators or researchers.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",39,null,"Nursing graduates","Nursing graduates refer to the number of students who have obtained a recognised qualification required to become a licensed or registered nurse. They include graduates from both higher level and lower level nursing programmes. They exclude graduates from Masters or PhD degrees in nursing to avoid double-counting nurses acquiring further qualifications.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",40,null,"Remuneration of nurses","The remuneration of nurses refers to average gross annual income, including social security contribu- tions and income taxes payable by the employee. It should normally include all extra formal payments, such as bonuses and payments for night shifts and overtime.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",41,null,"Ratio of nurses to physicians",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",44,null,"Share of foreign-trained doctors","The data relate to foreign-trained doctors working in OECD countries measured in terms of total stocks. The OECD health database also includes data on the annual flows for most of the countries shown here, as well as by country of origin. ","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",45,null,"International migration of nurses","The data relate to foreign-trained nurses working in OECD countries measured in terms of total stocks. The OECD health database also includes data on the annual flows for most of the countries shown here, as well as by country of origin. The data sources in most countries are professional registries or other adminis- trative sources.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",46,null,"Hospital beds per 1 000 population","Hospital beds are defined as all beds that are regularly maintained and staffed and are immediately available for use. They include beds in general hospitals, mental health hospitals, and other specialty hospitals. Beds in residential long-term care facilities are excluded ","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",46,null,"Hospital beds by function of health care",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",47,null,"Long-term care beds in institutions and hospitals",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",47,null,"Trends in long-term care beds in institutions and in hospitals",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",50,null,"MRI units per capita","The data in most countries cover MRI units and CT scanners installed both in hospitals and the ambula- tory sector, but the coverage is more limited in some countries. \nData for most countries marked with an * do not include MRI units and CT scanners installed outside hospitals, leading to an under-estimation. In Australia and Hungary, the data only include MRI units and CT scanners eligible for public reimbursement, also leading to an under-estimation.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",50,null,"CT scanners per capita","The data in most countries cover MRI units and CT scanners installed both in hospitals and the ambula- tory sector, but the coverage is more limited in some countries. \nData for most countries marked with an * do not include MRI units and CT scanners installed outside hospitals, leading to an under-estimation. In Australia and Hungary, the data only include MRI units and CT scanners eligible for public reimbursement, also leading to an under-estimation.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",51,null,"MRI/CT exams","Data are collected for the total number of exams and for the breakdown between hospitals and\nambulatory care providers.\nAn exam is defined as a medical imaging session to study one (or more than one) body part that\nyields one or more views for diagnostic purposes.\nData are collected for Computed Tomography (CT) exams, Magnetic Resonance Imaging (MRI)\nexams, and Positron Emission Tomography (PET) exams.\na) Computed Tomography (CT): CT or CAT scanner is an x-ray machine which combines many\nx-ray images with the aid of a computer to generate cross-sectional views and, if needed,\nthree-dimensional images of the internal organs and structures of the body.\nb) Magnetic Resonance Imaging (MRI): MRI is an imaging technique designed to visualise\ninternal structures of the body using magnetic and electromagnetic fields which induce a\nresonance effect of hydrogen atoms. The electromagnetic emission created by these atoms is\nregistered and processed by a dedicated computer to produce the images of the body\nstructures.\nc) Positron Emission Tomography (PET): PET is a highly specialised imaging technique using\nshort-lived radioactive substances. This technique produces three dimensional images which\nare used mainly for the assessment of cancer spread in a patient's body.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",52,null,"Hospital discharges for circulatory diseases","Discharge is defined as the release of a patient who has stayed at least one night in hospital. It includes deaths in hospital following inpatient care. Same-day discharges are usually excluded","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",52,null,"Hospital discharges for cancers",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",55,null,"Average length of stay in hospitals","Average length of stay refers to the average number of days that patients spend in hospital. It is generally measured by dividing the total number of days stayed by all inpatients during a year by the number of admissions or discharges. Day cases are excluded. The data cover all inpatient cases (including not only cura- tive/acute care cases) for most countries","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",55,null,"Average length of stay for normal delivery",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",55,null,"Average length of stay for acute myocardial infarction (AMI)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",58,null,"Occupancy rate of curative (acute) care beds",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",59,null,"Number of doctor consultations per person","Consultations with doctors refer to the number of contacts with physicians, including both generalists and specialists. \nThis indicator presents data on the number of consultations patients have with doctors in a given year. Consultations with doctors can take place in doctors’ offices or clinics, in hospital outpatient departments or, in some cases, in patients’ own homes. There are variations across countries in the coverage of different types of consultations, notably in outpatient departments of hospitals. The data come from administrative sources or surveys, depending on the country. This indicator is measured per capita.","n/a","n/a","n/a","n/a","n/a","n/a","https://data.oecd.org/healthcare/doctors-consultations.htm"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",60,null,"Estimated number of consultations per doctor",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",67,null,"Ambulatory surgery: Share of cataract surgeries carried out as ambulatory cases","Share of cataract surgery and tonsillectomies carried out as ambulatory cases","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",67,null,"Ambulatory surgery: Share of tonsillectomy carried out as ambulatory cases",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",68,null,"Hip replacement surgery","Hip replacement is a surgical procedure in which the hip joint is replaced by a prosthetic implant. It is gen- erally conducted to relieve arthritis pain or treat severe physical joint damage following hip fracture.\nKnee replacement is a surgical procedure to replace the weight-bearing surfaces of the knee joint in order to relieve the pain and disability of osteoarthritis. It may also be performed for other knee diseases such as rheumatoid arthritis.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",68,null,"Knee replacement surgery",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",68,null,"Cardiac procedures: Coronary revascularisation procedures",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",68,null,"Cardiac procedures: Coronary angioplasty as a share of total revascularisation procedures",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",69,null,"Caesarean section rates","The caesarean section rate is the number of caesarean deliveries performed per 100 live births.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",69,null,"Changes in caesarean section rates",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",76,null,"(Current) health care expenditure per capita in USD PPP","Expenditure on health measures the final consumption of health goods and services (i.e. current health expenditure). This includes spending by both public and private sources on medical services and goods, public health  and  prevention programmes  and administration, but excludes spending on capital formation (investments). To compare spending levels between countries, per capita health expenditures are converted to a common currency (US dollar) and adjusted to take account of the different purchasing power of the national currencies. Economy-wide (GDP) PPPs are used as the most available and reliable conversion rates.\nFor the calculation of growth rates in real terms, economy-wide GDP deflators are used. In some countries (e.g. France and Norway) health-specific deflators exist, based on national methodologies, but these are not used due to limited comparability.\n","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",76,null,"Annual average growth rate in per capita health expenditure, real terms",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",null,null,"Current health expenditure (CHE) by function of health care","The System of Health Accounts (OECD, 2000; OECD, Eurostat and WHO, 2011) defines the boundaries of the health care system. \nCurrent health expenditure comprises personal health care (curative care, rehabil-itative care, long-term care, ancillary services and medical goods) and collective services (prevention and public health services as well as health adminis- tration). \nCurative, rehabilitative and long-term care can also be classified by mode of production (inpa-tient, day care, outpatient and home care). \nConcerning longterm care, only the health aspect is normally reported as health expenditure, although it is difficult in certain countries to separate out clearly the health and social aspects of long-term care. Some countries with comprehensive long-term care packages focusing on social care might be ranked surprisingly low based on SHA data because of the exclusion of their social care. For example, an ongoing review of Japanese long-term care boundaries concerning SHA will likely lead to a significant increase in health spending based on SHA2011 to be released in 2016. Thus, estimations of long-term care expenditure are one of the main fac- tors limiting comparability across countries.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",null,null,"Growth rates of health spending for selected functions per capita",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",null,null,"Public share of expenditure on health services and goods","Health services refer to inpatient and outpatient care (including day cases), long-term health care and auxiliary services.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",84,null,"Long-term care public expenditure (health and social components), as share of GDP",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",84,null,"Annual growth rate in public expenditure on long-term care (health and social), in real terms",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",84,null,"Annual growth rate in public expenditure on long-term care (health), by setting, in real terms",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",86,null,"Expenditure on pharmaceuticals per capita","Pharmaceutical expenditure covers spending on prescription medicines and self-medication, often referred to as over-the-counter products. In some countries, other medical non-durable goods are also included. Pharmaceuticals consumed in hospitals and other health care settings are excluded. Final expendi- ture on pharmaceuticals includes wholesale and retail margins and value-added tax. It also includes phar- macists’ remuneration when the latter is separate from the price of medicines. Total pharmaceutical spending refers in most countries to “net” spending,\ni.e. adjusted for possible rebates payable by manufac- turers, wholesalers or pharmacies.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",86,null,"Average annual growth in pharmaceutical and total health expenditure per capita, in real terms","Pharmaceutical expenditure covers spending on pre- scription medicines and self-medication, often referred to as over-.the-counter products. In some countries, other medical non-durable goods are also included. Pharmaceuticals consumed in hospitals and other health care settings are excluded. Final expendi- ture on pharmaceuticals includes wholesale and retail margins and value-added tax. It also includes phar- macists’ remuneration when the latter is separate from the price of medicines. Total pharmaceutical spending refers in most countries to “net” spending,\ni.e. adjusted for possible rebates payable by manufac- turers, wholesalers or pharmacies.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",86,null,"Expenditure on pharmaceuticals as a share of GDP","Health services refer to inpatient and outpatient care (including day cases), long-term health care and auxiliary services.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",86,null,"Average annual growth in public pharmaceutical expenditure per capita, in real terms","Health services refer to inpatient and outpatient care (including day cases), long-term health care and auxiliary services.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",98,null,"Childhood vaccination programme","Vaccination rates reflect the percentage of children that receives the respective vaccination in the recom- mended timeframe. The age of complete immunisation differs across countries due to different immunisation schedules. For those countries recommending the first dose of a vaccine after age one, the indicator is calculated as the proportion of children less than two years of age who have received that vaccine. Thus, these indicators are based on the actual policy in a given country.\nSome countries administer combination vaccines (e.g. DTP for diphtheria, tetanus and pertussis) while oth- ers administer the vaccinations separately. Some countries ascertain vaccinations based on surveys and others based on encounter data, which may influ- ence the results.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",100,null,"Influenza vaccination coverage, population aged 65 and over","Influenza vaccination rate refers to the number of people aged 65 and older who have received an annual influenza vaccination, divided by the total number of people over 65 years of age.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",101,null,"Breast cancer screening","defined in indicator “Screening, survival and mortality for cervical cancer” ","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",101,null,"Cervical cancer screening","Screening rates are based on surveys or encounter data, which may influence the results. Survey-based results may be affected by recall bias. Programme data are often calculated for monitoring national screening programmes and differences in target population and screening frequency may also lead to variations in screening coverage across countries.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",112,null,"Thirty-day mortality after admission to hospital for AMI based on admission data","The case-fatality rate measures the percentage of people aged 45 and over who die within 30 days following admission to hospital for a specific acute condition. Rates based on admission data refer to the death occurred in the same hospital as the initial admission. Admissions resulting in a transfer were excluded for all countries except Australia, Belgium, Denmark, Hungary, Ireland, Israel, Japan, Luxembourg, Mexico, Netherlands, Slovak Republic and Sweden. This exclusion generally increases the rate compared with those countries which do not exclude these transfers. Rates based on patient data refer to the death occurred in the same hospital, a different hos- pital, or out of hospital.\nRates are age-sex standardised to the 2010 OECD population aged 45+ admitted to hospital for a specific acute condition such as AMI and ischemic stroke.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",112,null,"Thirty-day mortality after admission to hospital for AMI based on patient data",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",112,null,"Thirty-day mortality after admission to hospital for ischemic stroke based on admission data","The case-fatality rate measures the percentage of people aged 45 and over who die within 30 days following admission to hospital for a specific acute condition. Rates based on admission data refer to the death occurred in the same hospital as the initial admission. Admissions resulting in a transfer were excluded for all countries except Australia, Belgium, Denmark, Hungary, Ireland, Israel, Japan, Luxembourg, Mexico, Netherlands, Slovak Republic and Sweden. This exclusion generally increases the rate compared with those countries which do not exclude these transfers. Rates based on patient data refer to the death occurred in the same hospital, a different hos- pital, or out of hospital.\nRates are age-sex standardised to the 2010 OECD population aged 45+ admitted to hospital for a specific acute condition such as AMI and ischemic stroke.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",112,null,"Thirty-day mortality after admission to hospital for ischemic stroke based on patient data",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",114,null,"Waiting times for hip fracture surgery: Hip fracture surgery initiation after admission to hospital","This indicator is defined as the proportion of patients aged 65 years and over admitted to hospital in a specified year with a diagnosis of upper femur fracture, who had surgery initiated within two calendar days of their admission to hospital. Data are also provided for the proportion of those patients who had surgery within one day of their admission to hospital, and for patients who had surgery on the same day as their hospital admission. While the capacity to capture time of admission and surgery in hospital administrative data varies across countries, most countries are able to distinguish between patients who stay overnight and have surgery within 24 hours from patients who have surgery on the day of admission. Some countries supplied results for surgery within two calendar days only.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",116,null,"Cervical cancer five-year relative survival","Relative survival is the ratio of the observed survival experienced by cancer patients over a specified period of time after diagnosis to the expected survival in a comparable group from the general population in terms of age, sex and time period. \nCountries use either period analysis or cohort analysis to calculate cancer survival. Period analysis gives an up-to-date estimate of cancer patient survival using more recent incidence and follow-up periods than cohort analysis which uses survival information of a complete five-year follow-up period. The reference periods for diagnosis and follow-up years vary across countries.\nCancer survival presented have been age-standardised using the International Cancer Survival Standard (ICSS) population.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",116,null,"Breast cancer five-year relative survival","defined in indicator “Screening, survival and mortality for cervical cancer” ","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",116,null,"Colorectal cancer, five-year relative survival","Survival and mor- tality rates of colorectal cancer are based on ICD-10 codes C18-C21 (colon, rectosigmoid junction, rectum, and anus).","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",119,null,"Inpatient suicide amongst patients with a psychiatric disorder","The inpatient suicide indicator is composed of a denominator of patients discharged with a principal diagnosis or first two listed secondary diagnosis code of mental health and behavioural disorders (ICD-10 codes F10-F69 and F90-99) and a numerator of the number of patients who committed “suicide” (ICD-10 codes: X60-X84). There are often fewer than ten inpa- tient suicides in a given year, meaning that reported rates can vary. Where possible a 3-year average has been calculated to give more stability to the indicator. \nSuicide within 30 days and within one year of dis- charge is established by linking discharge following hospitalisation with a principal diagnosis or first two listed secondary diagnosis code of mental health and behavioural disorders (ICD-10 codes F10-F69 and F90-99), with suicides recorded in death registries (ICD-10 codes: X60-X84). In cases with several admis- sions during the reference year, the follow-up period starts from the last discharge.\nFor the excess mortality indicators the numerator is the overall mortality rate for persons aged between 15 and 74 years old ever diagnosed with schizophrenia or bipolar disorder. The denominator is the overall mor- tality rate for the general population aged between 15 and 74 years old. The relatively small number of people with bipolar disorder dying in any given year can cause substantial variations from year to year in some countries. The available data in most countries did not allow the calculation of 2-year averages.\nThe data have been age-sex standardised to the 2010 OECD population structure, to remove the effect of different population structures across countries.","Numerator: Number of patient discharges among denominator cases coded as suicide (ICD-10 codes: X60-X84) in the reference year.\nDenominator: Number of patients discharged with a principal diagnosis or first two listed secondary diagnosis code of mental health and behavioural disorders (ICD-10 codes F10-F69 and F90-99) in the reference year.","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",122,null,"(Avoidable) Asthma and COPD hospital admission","The indicators are defined as the number of hospital admissions with a primary diagnosis of asthma, COPD and CHF among people aged 15 years and over per 100 000 population. Rates were age-sex standardised to the 2010 OECD population aged 15 and over.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",122,null,"(Avoidable) Congestive heart failure hospital admission in adults",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",122,null,"Diabetes hospital admission in adults","The indicator for diabetes hospital admission is defined as the number of hospital admissions with a primary diagnosis of diabetes among people aged 15 years and over per 100 000 population. The indicator for major lower extremity amputation in adults with diabetes is defined as the number of discharges of people aged 15 years and over per 100 000 popula- tion, for the general population and the estimated dia- betic population. Rates for both indicators were age- sex standardised to the 2010 OECD population aged 15 and over.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",123,null,"Major lower extremity amputation in adults with diabetes",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",143,null,"Suicide following hospitalisation for a psychiatric disorder, within 30 days and one year of discharge","The inpatient suicide indicator is composed of a denominator of patients discharged with a principal diagnosis or first two listed secondary diagnosis code of mental health and behavioural disorders (ICD-10 codes F10-F69 and F90-99) and a numerator of the number of patients who committed “suicide” (ICD-10 codes: X60-X84). There are often fewer than ten inpatient suicides in a given year, meaning that reported rates can vary. Where possible a 3-year average has been calculated to give more stability to the indicator. \nSuicide within 30 days and within one year of dis- charge is established by linking discharge following hospitalisation with a principal diagnosis or first two listed secondary diagnosis code of mental health and behavioural disorders (ICD-10 codes F10-F69 and F90-99), with suicides recorded in death registries (ICD-10 codes: X60-X84). In cases with several admis- sions during the reference year, the follow-up period starts from the last discharge.\nFor the excess mortality indicators the numerator is the overall mortality rate for persons aged between 15 and 74 years old ever diagnosed with schizophrenia or bipolar disorder. The denominator is the overall mor- tality rate for the general population aged between 15 and 74 years old. The relatively small number of people with bipolar disorder dying in any given year can cause substantial variations from year to year in some countries. The available data in most countries did not allow the calculation of 2-year averages.\nThe data have been age-sex standardised to the 2010 OECD population structure, to remove the effect of different population structures across countries.","Numerator: Number of patients among denominator cases that committed suicide (ICD-10 codes: X60-X84) within 1 year/30 days after discharge.\nDenominator: Number of patients discharged alive with a principal diagnosis or first two listed secondary diagnosis code of mental health and behavioural disorders (ICD-10 codes F10-F69 and F90-99) in the reference year. In cases with several admissions during the reference year, the follow up period starts from the last discharge (discharge from a hospital and thus not from one department to another).\nNB: This indicator requires data that links hospital records with deaths after discharge.","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",145,null,"Overall volume of antibiotics prescribed",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",145,null,"People with diabetes with a prescription of cholesterol lowering medication in the past year","Defined daily dose (DDD) is the assumed average maintenance dose per day for a drug used for its main indication in adults. DDDs are assigned to each active ingredient in a given therapeutic class by interna- tional expert consensus. For instance, the DDD for oral aspirin equals 3 grams, which is the assumed maintenance daily dose to treat pain in adults. DDDs do not necessarily reflect the average daily dose actually used in a given country. DDDs can be aggregated within and across therapeutic classes of the Anatomic Therapeutic Classification (ATC). For more detail, see www.whocc.no/atcddd.\n*) Overall volume of antibiotics prescribed\n*) People with diabetes with a prescription of cholesterol lowering medication in the past year\n*) People with diabetes with a prescription of recommended antihypertensive medication in the past year\n*) Elderly people prescribed long-term benzodiazepines or related drugs","Numerator: Number of long-term users of glucose regulating medication (A10B) with concomitant use of ≥ 1 prescription of cholesterol lowering medication (C10) .\nDenominator: Number of long-term users of glucose regulating medication (A10B)\nNotes: Long-term users of glucose regulating medication (A10B) are defined as individuals who use >270 Defined Daily Doses (DDD) of A10B per year. If your database does not report DDD, please derive indicator using >270 days of A10B per year .","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",145,null,"People with diabetes with a prescription of recommended antihypertensive medication in the past year",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",145,null,"Pharmaceutical consumption: Antihypertensive drugs consumption ","Defined daily dose (DDD) is the assumed average maintenance dose per day for a drug used for its main indication in adults. DDDs are assigned to each active ingredient(s) in a given therapeutic class by international expert consensus. For instance, the DDD for oral aspirin equals 3 grams, which is the assumed maintenance daily dose to treat pain in adults. DDDs do not necessarily reflect the average daily dose actu- ally used in a given country. DDDs can be aggregated within and across therapeutic classes of the Anatomic- Therapeutic Classification (ATC). For more detail, see www.whocc.no/atcddd.\nThe volume of hypertension drugs consumption refers to the sum of five ATC2 categories which can all be prescribed against hyper- tension (antihypertensives, diuretics, beta-blocking agents, calcium channel blockers and agents acting on the renin-angiotensin system).\nData generally refer to outpatient consumption only, except for the Czech Republic, Estonia, Italy and Sweden where data also include hospital consumption.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",145,null,"Pharmaceutical consumption: Cholesterol-lowering drugs consumption","Defined daily dose (DDD) is the assumed average maintenance dose per day for a drug used for its main indication in adults. DDDs are assigned to each active ingredient(s) in a given therapeutic class by international expert consensus. For instance, the DDD for oral aspirin equals 3 grams, which is the assumed maintenance daily dose to treat pain in adults. DDDs do not necessarily reflect the average daily dose actu- ally used in a given country. DDDs can be aggregated within and across therapeutic classes of the Anatomic- Therapeutic Classification (ATC). For more detail, see www.whocc.no/atcddd.\nThe volume of hypertension drugs consumption refers to the sum of five ATC2 categories which can all be prescribed against hyper- tension (antihypertensives, diuretics, beta-blocking agents, calcium channel blockers and agents acting on the renin-angiotensin system).\nData generally refer to outpatient consumption only, except for the Czech Republic, Estonia, Italy and Sweden where data also include hospital consumption.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",145,null,"Pharmaceutical consumption: Antidiabetic drugs consumption","Defined daily dose (DDD) is the assumed average maintenance dose per day for a drug used for its main indication in adults. DDDs are assigned to each active ingredient(s) in a given therapeutic class by international expert consensus. For instance, the DDD for oral aspirin equals 3 grams, which is the assumed maintenance daily dose to treat pain in adults. DDDs do not necessarily reflect the average daily dose actu- ally used in a given country. DDDs can be aggregated within and across therapeutic classes of the Anatomic- Therapeutic Classification (ATC). For more detail, see www.whocc.no/atcddd.\nThe volume of hypertension drugs consumption refers to the sum of five ATC2 categories which can all be prescribed against hyper- tension (antihypertensives, diuretics, beta-blocking agents, calcium channel blockers and agents acting on the renin-angiotensin system).\nData generally refer to outpatient consumption only, except for the Czech Republic, Estonia, Italy and Sweden where data also include hospital consumption.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",145,null,"Pharmaceutical consumption: Antidepressant drugs consumption","Defined daily dose (DDD) is the assumed average maintenance dose per day for a drug used for its main indication in adults. DDDs are assigned to each active ingredient(s) in a given therapeutic class by international expert consensus. For instance, the DDD for oral aspirin equals 3 grams, which is the assumed maintenance daily dose to treat pain in adults. DDDs do not necessarily reflect the average daily dose actu- ally used in a given country. DDDs can be aggregated within and across therapeutic classes of the Anatomic- Therapeutic Classification (ATC). For more detail, see www.whocc.no/atcddd.\nThe volume of hypertension drugs consumption refers to the sum of five ATC2 categories which can all be prescribed against hyper- tension (antihypertensives, diuretics, beta-blocking agents, calcium channel blockers and agents acting on the renin-angiotensin system).\nData generally refer to outpatient consumption only, except for the Czech Republic, Estonia, Italy and Sweden where data also include hospital consumption.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",145,null,"Pharmaceutical consumption by DDDs","Defined daily dose (DDD) is the assumed average maintenance dose per day for a drug used for its main indication in adults. DDDs are assigned to each active ingredient(s) in a given therapeutic class by international expert consensus. For instance, the DDD for oral aspirin equals 3 grams, which is the assumed maintenance daily dose to treat pain in adults. DDDs do not necessarily reflect the average daily dose actu- ally used in a given country. DDDs can be aggregated within and across therapeutic classes of the Anatomic- Therapeutic Classification (ATC). For more detail, see www.whocc.no/atcddd.\nThe volume of hypertension drugs consumption refers to the sum of five ATC2 categories which can all be prescribed against hyper- tension (antihypertensives, diuretics, beta-blocking agents, calcium channel blockers and agents acting on the renin-angiotensin system).\nData generally refer to outpatient consumption only, except for the Czech Republic, Estonia, Italy and Sweden where data also include hospital consumption.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",177,null,"Obstetric trauma, vaginal delivery with/without instrument","The two obstetric trauma indicators are defined as the proportion of instrument assisted/non-assisted vaginal deliveries with third- and fourth-degree obstetric trauma codes in any diagnosis and procedure field. Therefore, any differences in the definition of principal and secondary diagnoses have no influence on the calculated rates. ","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",179,null,"Surgical complications: Foreign body left in during procedure","Surgical complications are defined as the number of discharges with ICD codes for complication in any secondary diagnosis field for the “surgical admission” and any diagnosis field for any subsequent related re- admission within 30 days, divided by the total number of discharges for patients aged 15 and older. Contrary to the data presented in Health at a Glance 2013, the indicator rates have not been adjusted by the average number of secondary diagnoses, given a strong posi- tive correlation between the number of secondary diagnoses and indicator rates reported by countries was not evident in the most recent data.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",179,null,"Surgical complications: Postoperative pulmonary embolism (PE) or deep vein thrombosis (DVT) in hip and knee surgeries","Surgical complications are defined as the number of discharges with ICD codes for complication in any secondary diagnosis field for the “surgical admission” and any diagnosis field for any subsequent related re- admission within 30 days, divided by the total number of discharges for patients aged 15 and older. Contrary to the data presented in Health at a Glance 2013, the indicator rates have not been adjusted by the average number of secondary diagnoses, given a strong posi- tive correlation between the number of secondary diagnoses and indicator rates reported by countries was not evident in the most recent data.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",179,null,"Surgical complications: Postoperative sepsis in abdominal surgeries","Surgical complications are defined as the number of discharges with ICD codes for complication in any secondary diagnosis field for the “surgical admission” and any diagnosis field for any subsequent related re- admission within 30 days, divided by the total number of discharges for patients aged 15 and older. Contrary to the data presented in Health at a Glance 2013, the indicator rates have not been adjusted by the average number of secondary diagnoses, given a strong posi- tive correlation between the number of secondary diagnoses and indicator rates reported by countries was not evident in the most recent data.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",191,null,"Patient experience with ambulatory care: Doctor spending enough time with patient in consultation","patient experience with a regular doctor rather than any doctor.\nRates are age-sex standardised to the 2010 OECD pop- ulation, to remove the effect of different population structures across countries.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",192,null,"Patient experience with ambulatory care: Doctor providing easy-to-understand explanations",null,"n/a","n/a","n/a","Commonwealth Fund International Health Policy Survey 2013 and other national sources","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",194,null,"Patient experience with ambulatory care: Doctor giving opportunity to ask questions or raise concerns, ",null,"n/a","n/a","n/a","Commonwealth Fund International Health Policy Survey 2010 and other national sources","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",195,null,"Patient experience with ambulatory care: Doctor involving patient in decisions about care and treatment",null,"n/a","n/a","n/a","Commonwealth Fund International Health Policy Survey 2013 and other national sources","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",219,null,"Community pharmacies","Community pharmacies are premises which in accordance to the local legal provisions and definitions may operate as a facility in the provision of pharmacy services in the community settings. The number of community pharmacies reported are the number of premises where dispensing of medicines happened under the supervision of a pharmacist.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",220,null,"Share of generic market","A generic is defined as a pharmaceutical product which has the same qualitative and quantitative com- position in active substances and the same pharma- ceutical form as the reference product, and whose bioequivalence with the reference product has been demonstrated. Generics can be classified in branded generics (generics with a specific trade name) and unbranded generics (which use the international non- proprietary name and the name of the company).\nIn many countries, the data cover all pharmaceutical consumption. However, several countries provide data covering only the community pharmaceutical market or the reimbursed pharmaceutical market.\nThe share of generic market expressed in value can be the turnover of pharmaceutical companies, the amount paid for pharmaceuticals by third-party payers, or the amount paid by all payers (third-party and consumers). The share of generic market in volume can be expressed in DDDs or as a number of packages/ boxes or standard units.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",221,null,"Research and development in the pharmaceutical sector: Business expenditure on R&D (BERD) in pharmaceutical industry as a proportion of GDP and of total BERD","Business enterprise expenditure on R&D (BERD) cov- ers R&D activities carried out in the private sector by performing firms and institutes, regardless of the origin of funding. This includes all firms, organisations and institutions whose primary activity is the production of goods and services for sale to the general public at an economically significant price, and the private and not-for-profit institutions serving them. BERD will register in the country where the R&D activity took place, not the country of origin of the organisations funding the activity.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",226,null,"Share of the population aged over 65 and 80 years",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",229,null,"Proportion of population receiving long-term care",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",230,null,"Share of long-term care recipients aged 65 years and over receiving care at home",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",237,null,"Elderly patients with prescription of long-term benzodiazepines or related drugs",null,"Numerator: Number of users ≥ 65 years of age at 1 January with > 365 DDDs of benzodiazepines (N05BA or N05CD or N05CF)\nDenominator: population ≥ 65 years of age at 1 January in database\nNote: If your database does not report DDD, please derive indicator using > 365 days of benzodiazepines per year","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",237,null,"Elderly patients with prescription of long-acting benzodiazepines or related drugs",null,"Numerator: Number of users ≥ 65 years of age at 1 January in database with ≥ 1 prescription long-acting benzodiazepines (N05BA01, N05BA02, N05BA05, N05BA08, N05BA11, N05CD01, N05CD02, N05CD03, N05CD10)\nDenominator: population ≥ 65 years of age at 1 January in database","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",238,null,"Population aged 50 and over reporting to be informal carers",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",238,null,"Share of women among all informal carers aged 50 and over",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",239,null,"Frequency of care provided by informal carers",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",242,null,"Long-term care workers per 100 people aged 65 and over",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",244,null,"Life expectancy at age 65",null,"n/a","n/a","n/a","Eurostat","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",246,null,"Healthy life years at age 65",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",260,null,"Cervical cancer mortality","See indicator “Mortality from cancer”","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",260,null,"Breast cancer mortality","defined in indicator “Screening, survival and mortality for cervical cancer” ","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",260,null,"Colorectal cancer mortality","Survival and mor- tality rates of colorectal cancer are based on ICD-10 codes C18-C21 (colon, rectosigmoid junction, rectum, and anus).","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",261,null,"Excess mortality from schizophrenia","This indicator is a ratio of two mortality rates (Rate 1 and Rate 2 below) and aims to measure the excess mortality from all causes in people who have a diagnosis of schizophrenia.","Rate 1: Directly age- and sex-standardised “all cause” mortality rate in the reference year (e.g. 2013) for all persons aged between 15 and 74 years old in the population with schizophrenia. Numerator: All deaths among the denominator population in the reference year. Denominator: All people aged 15-74 ever diagnosed with schizophrenia (see list of ICD codes) as obtained from a register or equivalent data source in the reference year.\nRate 2: Directly age- and sex-standardised “all cause” mortality rate in the same reference year for all persons aged between 15 and 74 years old in the total population.\nNumerator: All deaths among the denominator population in the reference year. Denominator: All people aged 15-74 in the reference year.","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",261,null,"Excess mortality from bipolar disorder","This indicator is a ratio of two mortality rates and aims to measure the excess mortality from all causes in people who have a diagnosis of bipolar disorder.","Rate 1: Directly age- and sex-standardised “all cause” mortality rate in the reference year (eg 2013) for all persons aged between 15 and 74 years old in the prevalent population with bipolar disorder. \nNumerator: All deaths among the denominator population in the reference year. \nDenominator: All people aged 15-74 ever diagnosed with bipolar disorder (see list of ICD codes) as obtained from a register or equivalent data source in the reference year.\nRate 2: Directly age- and sex-standardised “all cause” mortality rate in the same reference year for all persons aged between 15 and 74 years old in the total population.\nNumerator: All deaths among the denominator population in the reference year. Denominator: All people aged 15-74 in the reference year","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",272,null,"Perceived health status by income level",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",272,null,"Perceived health status in adults aged 65 years and over",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",275,null,"Limitations in daily activities in adults aged 65 years and over",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",297,null,"Estimated prevalence of dementia per 1 000 population",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",297,null,"Age-specific prevalence of dementia",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",297,null,"Estimated number of people with dementia",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",299,null,"Daily smoking in adults","The proportion of daily smokers is defined as the per- centage of the population aged 15 years and over who report smoking every day.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",299,null,"Change in daily smoking in adults",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",301,null,"Alcohol consumption among adults","Alcohol consumption is defined as annual sales of pure alcohol in litres per person aged 15 years and over. The methodology to convert alcoholic drinks to pure alcohol may differ across countries. Official statis- tics do not include unrecorded alcohol consumption, such as home production. WHO produces estimates for unrecorded alcohol consumption.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",302,null,"Share of total alcohol consumed by the 20% of the population who drink the most",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",304,null,"Daily fruit eating among adults","Estimates of daily fruit and vegetable consumption are derived from national and European Health Inter- view Survey questions. Typically, respondents were asked “How often do you eat fruit (excluding juice)?” and “How often do you eat vegetables or salad (excluding juice and potatoes)?”.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",304,null,"Daily vegetable eating among adults",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",305,null,"Obesity in adults (age 15+)","Overweight and obesity are defined as excessive weight presenting health risks because of the high proportion of body fat. The most frequently used measure is based on the body mass index (BMI), which is a single number that evaluates an individual’s weight\nin relation to height (weight/height2, with weight in\nkilograms and height in metres). Based on the WHO classification (WHO, 2000), adults with a BMI from 25 to 30 are defined as overweight, and those with a BMI of 30  or over as obese. This classification may not be suitable for all ethnic groups, who may have equiva- lent levels of risk at lower or higher BMI. The thresholds for adults are not suitable to measure overweight and obesity among children\n\nData on obesity in adults are based on measured height and weight for all the countries marked with an *. These result in more accurate data and higher obesity rates compared with all other countries that are providing selfreported height and weight.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",305,null,"Increasing obesity among adults",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",305,null,"Change in self-reported overweight among 15-year-olds",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",305,null,"Measured overweight (including obesity) among children","Data on overweight or obesity in children are all based on measured data, but refer to different age groups across countries.\nEstimates of overweight and obesity are based on body mass index (BMI) calculations using either measured or self-reported height and weight, the latter possibly under-estimating obesity and overweight. Overweight and obese children are those whose BMI is above a set of age- and sex-specific cut-off points (Cole et al., 2000).","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","17_OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",349,null,"GDP per capita and average annual growth rates",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","18_Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",55,"nA","Average length of stay (ALOS), Total in-patient",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","18_Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",55,"nA","ALOS, AMI",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","18_Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",55,"nA","ALOS, Breast cancer",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","18_Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",55,"nA","ALOS, Trachea, bronchus and lung cancer",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","18_Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",55,"nA","ALOS, Colon, rectum and anus cancer",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","18_Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",55,"nA","ALOS, Fracture of femur",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","18_Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",55,"nA","ALOS, Tuberculosis",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","18_Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",57,"nA","Turnover rate","the number of cases per available acute care bed","The formula linking the occupancy rate (OR), turnover rate (TR) and ALOS is as follows: OR=ALOS*TR/365. Definitions and methods for collecting data may not be fully consistent and this relationship does not always hold exactly.","often considered to be relevant for assessing efficiency in the use of existing medical facilities","n/a","n/a","n/a","n/a","n/a"]
["B","18_Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",58,"nA","Occupancy rate, acute care beds",null,"The formula linking the occupancy rate (OR), turnover rate (TR) and ALOS is as follows: OR=ALOS*TR/365. Definitions and methods for collecting data may not be fully consistent and this relationship does not always hold exactly.","Often considered to be relevant for assessing efficiency in the use of existing medical facilities. A high occupancy rate (usually considered as an efficient use of resources) can either reflect long\nALOS (usually considered as an inefficient use of resources) or a high turnover rate.","n/a","n/a","n/a","n/a","n/a"]
["B","18_Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",60,"nA","Number of consultations per doctor",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","18_Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",67,"nA","Cataract surgery - % performed as day cases",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","18_Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",88,"nA","Administrative costs",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","18_Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",98,"nA","Vaccination rates, measles",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","18_Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",98,"nA","Vaccination rates, diphtheria, tetanus, and pertussis (DTP)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","18_Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",100,"nA","Vaccination rates, influenza",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","18_Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",112,"nA","In-hospital case fatality rates for acute myocardial infarction",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","18_Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",112,"nA","In-hospital case fatality rates for ischemic stroke",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","18_Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",122,"nA","Avoidable hospital admissions: asthma",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","18_Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",122,"nA","Avoidable hospital admissions: Chronic obstructive pulmonary diseases",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","18_Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",122,"nA","Avoidable hospital admissions: Congestive heart failures",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","18_Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",244,"nA","Life expectancy at birth",null,"n/a","n/a","n/a","n/a","gender","n/a","n/a"]
["B","18_Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",244,"nA","Life expectancy at 65",null,"n/a","n/a","n/a","n/a","gender","n/a","n/a"]
["B","18_Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",246,"nA","Health-adjusted life expectancy (HALE)","number of expected years of life equivalent to years lived in full health","n/a","n/a","n/a","n/a","gender","n/a","n/a"]
["B","18_Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",246,"nA","Health-adjusted life expectancy (HALE) at 60","number of expected years of life equivalent to years lived in full health","n/a","n/a","n/a","n/a","gender","n/a","n/a"]
["B","18_Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",247,"nA","Potential years of life lost (PYLL) adjusted per 100.000 persons aged 0-69",null,"are calculated excluding deaths from land transport accidents, accidental falls, suicides and assaults","n/a","n/a","n/a","gender","n/a","n/a"]
["B","18_Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",251,"nA","Perinatal mortality per 1.000 births","Includes both late foetal deaths and early neonatal infant deaths","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","18_Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",258,"nA","Amenable mortality per 100.000 persons",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["B","19_OECD (2015) How's Life? 2015: Measuring Well-being, OECD Publishing, Paris. DOI: http://dx.doi.org/10.1787/how_life-2015-en",244,"nA","Life expectancy at birth",null,"n/a","n/a","n/a","Eurostat","n/a","n/a","http://www.keepeek.com/Digital-Asset-Management/oecd/economics/how-s-life-2015_how_life-2015-en#page74"]
["B","19_OECD (2015) How's Life? 2015: Measuring Well-being, OECD Publishing, Paris. DOI: http://dx.doi.org/10.1787/how_life-2015-en",272,"nA","Perceived health status ","Percentage of the population aged 15 and over (adults) who report being in \"good\" or \"very good\" health. ","n/a","n/a","n/a","Eurostat","n/a","n/a","http://www.keepeek.com/Digital-Asset-Management/oecd/economics/how-s-life-2015_how_life-2015-en#page74"]
["B","19_OECD (2015) How's Life? 2015: Measuring Well-being, OECD Publishing, Paris. DOI: http://dx.doi.org/10.1787/how_life-2015-en",272,"nA","Gap in the perceived health between high and low income groups",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["C","20_WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",247,1,"Age-standardized overall premature mortality rate (from 30 to under 70 years) for four major noncommunicable diseases (cardiovascular diseases (ICD-10a codes I00–I99), cancer (ICD-10 codes C00–C97), diabetes mellitus (ICD-10 codes E10–E14) and chronic respiratory diseases (ICD-10 codes J40– 47)) disaggregated by sex; diseases of the digestive system (ICD-10 codes K00–K93) also suggested but to be reported separately","The age-standardized mortality rate is a weighted average of the age-specific mortality rates per 100 000 people, where the weights are the proportions of people in the corresponding age groups of the WHO standard population.\nThe age-standardized mortality rate is calculated using the direct method: it represents what the crude rate would have been if the population had the same age distribution as the standard European population.\n Cardiovascular diseases: ICD-10 codes: I00–I99;\n Cancer: ICD-10 codes: C00–C97;\n Diabetes mellitus: ICD-10 codes: E10–E14;\n Chronic respiratory diseases: ICD-10 codes: J40–J47;\n Digestive diseases: ICD-10 codes: K00–K93.","n/a","The number of deaths per 100 000 population is influenced by the age distribution of the population. Two populations with the same age-specific mortality rates for a particular cause of death will have different overall death rates if the age distributions of their populations are different. Age- standardized mortality rates adjust for differences in the age distribution of the population by applying the observed age-specific mortality rates for each population to a standard population.","n/a","HFA-MDB (mortality indicator database of WHO Europe)","Age, Cause, Sex","n/a","n/a"]
["C","20_WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",299,2,"Age-standardized prevalence of current (includes both daily and non- daily or occasional) tobacco use among people aged 18 years and over","Current prevalence estimates for use of any tobacco product are derived from the results of the latest adult tobacco-use survey (or a survey that asks tobacco- use questions), adjusted using the WHO regression method for standardization described in the section on method of estimation below.\n“Tobacco use” includes cigarettes, cigars, pipes or any other tobacco products. “Current use” includes both daily and non-daily or occasional use.","n/a","The prevalence of current tobacco use among adults is an important measure of the health and economic burden of tobacco, and provides a baseline for evaluating the effectiveness of tobacco control programmes over time.\nAdjusted and age-standardized prevalence rates are constructed solely for the purpose of comparing tobacco-use prevalence estimates across multiple countries or across multiple time periods for the same country. These rates should not be used to estimate the number of smokers in the population.","n/a","Source used by the comprehensive global monitoring framework for noncommunicable diseases (Global Health Observatory)","Sex","n/a","n/a"]
["C","20_WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",301,3,"Total (recorded and unrecorded) per capita alcohol consumption among people aged 15 years and over within a calendar year (litres of pure alcohol), reporting recorded and unrecorded consumption separately, if possible","The total (sum of recorded and unrecorded) APC is the amount of alcohol consumed per adult (aged 15 years and over) within a calendar year, in litres of pure alcohol. Recorded alcohol consumption refers to official statistics (production, import, export and sales or taxation data), while unrecorded alcohol consumption refers to alcohol that is not taxed and is outside the usual system of governmental control. In circumstances in which the number of tourists per year is at least the number of inhabitants, the tourist consumption is also taken into account and is deducted from the country’s recorded adult per capita consumption. Numerator: amount of recorded alcohol consumed per adult (15 years and over) during a calendar year, in litres of pure alcohol. Denominator: mid-year resident population (15 years and over) for the same calendar year, as estimated by the UN World population prospects,c medium variant.","n/a","APC is part of a core set of indicators whose purpose is to monitor the magnitude, pattern and trends of alcohol consumption in the adult population. It is an agreed indicator in the comprehensive global monitoring framework for noncommunicable diseases.","n/a","Source used by the comprehensive global monitoring framework for noncommunicable diseases (Global Health Observatory)","Alcoholic beverage type (beer, wine, spirits and other alcoholic beverages)","n/a","n/a"]
["C","20_WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",305,4,"Age-standardized prevalence of overweight and obesity in people aged 18 years and over (defined as a BMI ≥25 kg/m2  for overweight and ≥30 kg/m2 for obesity), where possible disaggregated by age and sex, reporting measured and self-reported data separately","The prevalence refers to the percentage of defined population aged 18 years and over with overweight or obesity (defined as a BMI ≥25 kg/m2 for overweight and ≥30 kg/m2 for obesity).","n/a","Excess body weight predisposes people to various noncommunicable diseases, particularly cardiovascular diseases, diabetes and some cancers. Obesity is a growing public health problem across the WHO European Region, where more than 50% of the adult population is overweight (including obesity) in most Member States. Effective interventions exist to prevent and tackle overweight and obesity. Many of the risks diminish with weight loss.\nOverweight and obesity:\n are defined as abnormal or excessive fat accumulation that may impair health;\n have important consequences for morbidity, disability and quality of life;\n entail higher risk of developing type 2 diabetes, cardiovascular diseases, several common forms of cancer, osteoarthritis and other health problems;\n are serious public health challenges in the WHO European Region.\nWorldwide, more than 1.4 billion adults aged 20 and over were overweight in 2008. Of these, over 200 million men and nearly 300 million women were obese. In the WHO European Region the age-standardized prevalence of overweight was 58.3% among adult males and 51.2% among adult females.","n/a","Source used by the comprehensive global monitoring framework for noncommunicable diseases (Global Health Observatory) (46)","Sex","n/a","n/a"]
["C","20_WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",98,5,"Percentage of children vaccinated against measles (1 dose by second birthday), polio (3 doses by first birthday) and rubella (1 dose by second birthday)","The percentage of children vaccinated against measles is the proportion of children reaching their second birthday who have been fully vaccinated against measles (1 dose).\nThe percentage of infants vaccinated against polio is the proportion of infants reaching their first birthday in the given calendar year who have been fully vaccinated against polio (3 doses).\nThe percentage of infants vaccinated against rubella is the proportion of children reaching their second birthday in the given calendar year who have been fully vaccinated against rubella (1 dose).\nData for all three are reported annually to and available from the Communicable Diseases Unit at the WHO Regional Office for Europe.","n/a","Information on immunization coverage is used for a variety of purposes:\n to  monitor  the  performance  of  immunization  services  at  the  local, national and international levels;\n to guide accelerated disease-control initiatives such as polio eradication, measles control and neonatal tetanus elimination;\n to identify areas of weak system performance that may require extra resources and focused attention;\n as a consideration when deciding whether to introduce a new vaccine.\nAn accurate historical representation of immunization coverage is important to assess trends in immunization system performance, to better establish the relationship between immunization service delivery and disease occurrence, and to provide a framework for setting future goals for coverage achievement.","n/a","HFA","type of vaccine","n/a","n/a"]
["C","20_WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",262,6,"Age-standardized  mortality  rates  from  all  external  causes  and injuries, disaggregated by sex","The age-standardized mortality rate is a weighted average of the age-specific mortality rates per 100 000 people, where the weights are the proportion of people in the corresponding age groups of the WHO standard population.\nThe age-standardized mortality rate is calculated using the direct method: it represents what the crude rate would have been if the population had the same age distribution as the standard European population.\nICD-10 codes: V01–V99, W00–W99, X00–X99, Y00–Y98.","n/a","The number of deaths per 100 000 population is influenced by the age distribution of the population. Two populations with the same age-specific mortality rates for a particular cause of death will have different overall death rates if the age distributions of their populations are different. Age- standardized mortality rates adjust for differences in the age distribution of the population by applying the observed age-specific mortality rates for each population to a standard population.","n/a","HFA-MDB (mortality indicator database of WHO Europe)","Age, Cause, Sex","n/a","n/a"]
["C","20_WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",244,7,"Life expectancy at birth, disaggregated by sex","Life expectancy at birth is the average number of years a newborn could expect to live if he or she were to pass through life exposed to the sex- and age- specific death rates prevailing at the time of his or her birth for a specific year, in a given country, territory or geographical area.","n/a","Life expectancy at birth reflects the overall mortality level of a population. It summarizes the mortality pattern that prevails across all age groups – children and adolescents, adults and the elderly.","n/a","HFA","Sex","n/a","n/a"]
["C","20_WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",250,8,"Infant mortality per 1000 live births, disaggregated by sex","The infant mortality rate is the probability of a child born in a specific year or period dying before reaching the age of 1, if subject to the age-specific mortality rates of that period.\nThe infant mortality rate is strictly speaking not a rate (i.e. the number of deaths divided by the number of population at risk during a certain period of time) but a probability of death derived from a life table and expressed as rate per 1000 live births.","n/a","Infant mortality represents an important component of under-5 mortality. Like under-5 mortality, infant mortality rates measure child survival. They also reflect the social, economic and environmental conditions in which children (and others in society) live, including their health care. Since data on the incidence and prevalence of diseases (morbidity data) are frequently unavailable, mortality rates are often used to identify vulnerable populations. Infant mortality rate is a Millennium Development Goal indicator.","n/a","HFA","0–27 days, 28 days to <1 year","n/a","n/a"]
["C","20_WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",null,9,"Proportion of children of official primary school age not enrolled",null,"n/a","n/a","n/a","UNESCO","n/a","http://portal.euro.who.int/en/visualizations/bar-charts/h2020_21-cp-primary-school-enrolment/#notes","n/a"]
["C","20_WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",351,10,"Unemployment rate, disaggregated by age and sex",null,"n/a","n/a","n/a","ILOSTAT and Eurostat (ILO 38; EU-SILC 30; total 43)","n/a","n/a","n/a"]
["C","20_WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",359,11,"National and/or subnational policy addressing the reduction of health inequities established and documented","Existence of policies and strategies to address health inequalities and social determinants of health: \nA specific aim of the indicator is to capture whether health inequities and social determinants of health are addressed in one form or another, in accordance with the strategic goals of Health 2020. Replies options: i) Yes, stand-alone, ii) Yes, included elsewhere, iii) No. \nElements in national policies to address health inequities and social determinants of health: Since there are multiple approaches or measures to address health inequities or social determinants of health, another aspect in the assessment included the various elements existing in the national health policies and strategies to deal with them, i.e. Healthy workplace, Healthy start in life, Poverty, Environment, Disadvantaged groups, Universal health coverage, Human rights, Others. ","n/a","n/a","n/a","Direct reporting by Member States through the annual report of the WHO Regional Director for Europe","n/a","n/a","n/a"]
["C","20_WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",355,12,"GINI coefficient (income distribution)",null,"n/a","n/a","n/a","World Bank and Eurostat (World Bank 22; EU-SILC 26; total 40)","n/a","n/a","n/a"]
["C","20_WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",343,13,"Life satisfaction, disaggregated by age and sex","Well-being exists in two dimensions: subjective and objective. It comprises an individual’s experience of their life as well as a comparison of life circumstances with social norms and values. Life satisfaction comprises the subjective dimension of well-being.","n/a","Although well-being is a component of the WHO definition of health, to date most health assessments have been based on mortality, morbidity or disability outcomes. Efforts have been made to conceptualize well-being beyond the domain of wealth to include other aspects of life.","n/a","Gallup World Poll and Eurostat (EU-SILC) (53)","Sex","n/a","n/a"]
["C","20_WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",342,14,"Availability of social support","The level of availability of social support is expressed as a percentage of population aged 50 years and over who responded “yes” to the survey question: “If you were in trouble, do you have relatives or friends you can count on to help you whenever you need them, or not?”","n/a","This core indicator measures whether self-reported support is perceived to be available from relatives or friends. This should be distinguished from subjective “perceived support” in terms of the level of support or satisfaction with support.","n/a","Gallup World Poll and Eurostat (EU-SILC) (53)","Sex, Age","n/a","n/a"]
["C","20_WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",325,15,"Percentage of population with improved sanitation facilities","An improved sanitation facility is defined as one that hygienically separates human excreta from human contact.\nImproved sanitation facilities include:\n flush/pour flush to:\no piped sewer system\no septic tank\no pit latrine;\n ventilated improved pit latrine;\n pit latrine with slab;\n composting toilet.","n/a","Living in satisfactory and sanitary housing conditions is one of the most important aspects of people’s lives. An assessment of population well-being thus needs to examine living conditions and whether dwellings have access to facilities – including adequate water and sewage supply – that are considered basic needs and human rights.\nThe vital importance of sanitation to human health and well-being and its role as an engine of development are well recognized. In this context, it is also crucial to recognize that striking disparities often occur in progress towards providing these services to the population, particularly in the divide between urban and rural populations, even when taking the different starting points into consideration. Use of improved sanitation facilities is a proxy for the use of basic sanitation.","n/a","HFA (51)","Household","n/a","n/a"]
["C","20_WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",8,16,"Private household out-of-pocket expenditure as a proportion of total health expenditure","The level of out-of-pocket expenditure is expressed as a percentage of private expenditure on health.\nPrivate households’ out-of-pocket payments on health are the direct outlays of households, including gratuities and payments in kind made to health practitioners and suppliers of pharmaceuticals, therapeutic appliances and other goods and services, whose primary intent is to contribute to the restoration or enhancement of the health status of individuals or population groups. They also include household payments to public services, non-profit institutions or nongovernmental organizations, non-reimbursable cost sharing, deductibles, co-payments and fees for service. They exclude payments made by enterprises that deliver medical and paramedical benefits, mandated by law or not, to their employees and payments for overseas treatment.","n/a","This is a core indicator of health financing systems. It contributes to the understanding of the relative weight of direct payments by households in total health expenditure. High out-of-pocket payments are strongly associated with catastrophic and impoverishing spending, so this indicator represents a key support for equity and planning processes.","n/a","n/a","n/a","n/a","n/a"]
["C","20_WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",75,17,"Total expenditure on health (as a percentage of GDP)","Total health expenditure represents the sum of general government and private expenditure on health. Estimates for this indicator are produced by WHO jointly with OECD and the World Bank. The estimates are, to the greatest extent possible, based on the NHA classification (see the 2006 World health reportj for details). The  sources  include  both  nationally reported  data and estimates from international organizations such as the International Monetary Fund, OECD, UN and World Bank. They may therefore differ somewhat from official national statistics reported by countries.","n/a","This is a core indicator of health financing systems. It contributes to the understanding of total expenditure on health relative to the beneficiary population, adjusted by purchasing power parity (PPP) to facilitate international comparisons.","n/a","HFA (53)","n/a","n/a","n/a"]
["C","20_WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",361,19,"Evidence documenting: (a) establishment of national policies aligned with Health 2020; (b) implementation plan; (c) accountability mechanism (mode of ‘documentation’ to be decided by individual Member States)","As Member States in the WHO European Region develop policies and strategies to improve health and well-being, it is important to know whether these national policies are aligned with the Health 2020 vision. The alignment means having a comprehensive national health policy or another strategy, including improving universal health coverage, reducing the major causes of the burden of disease, addressing major health determinants of health and well-being and strengthening health systems.","n/a","n/a","n/a","Direct reporting by Member States through the annual report of the WHO Regional Director for Europe","n/a","n/a","n/a"]
["C","20_WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",360,"(18) 6.1.a","Establishment of process for target-setting documented (mode of documenting to be decided by individual Member States)","Existence of national or subnational processes of target - setting for health and well-being.\nAn aim of the Health 2020 regional monitoring is to determine how countries have progressed towards establishing national goals, targets and specific indicators to monitor their advance in achieving the Health 2020 vision. Response options to this questions are: i) Targets defined, ii) Indicators defined, iii) Not but planned for the future, iv) Not and not planned for the future. ","n/a","n/a","n/a","Direct reporting by Member States through the annual report of the WHO Regional Director for Europe","n/a","http://portal.euro.who.int/en/indicators/h2020-indicators/h2020_31-national-target-setting/","n/a"]
["C","20_WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",259,"1.1.","Standardized mortality rate from all causes, disaggregated by age, sex and cause of death",null,"n/a","n/a","n/a","HFA-MDB (mortality indicator database of WHO Europe)","Age, Cause, Sex","n/a","n/a"]
["C","20_WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",343,"13.1.","Indicators of subjective well-being, either in different domains  or by eudaimonia or by affect",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["C","20_WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",null,"14.1.","Percentage of people aged 65 years and over living alone","This indicator measures the potential support needed for older – and in general more vulnerable – people in a community by measuring the percentage of people aged 65 and over living alone.","n/a","Older people tend to report poorer health, so the need for social and other support increases with age. Social isolation and loneliness are key determinants of the current and future health and social care needs of the older population: they have been shown to have significant negative impacts on people’s health status, including a demonstrable effect on blood pressure and a strong association with depression and increased risk of mortality. The eventual situation of many older people living alone is also related to health and care, and is important to well-being. The indicator focuses on the age group 65 years and over to better reflect the life-course approach in the overall Health 2020 indicators set.","n/a","UNECE (28)","Sex, Age","n/a","n/a"]
["C","20_WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",10,"15.1.","Household final consumption expenditure per capita","Household final consumption expenditure is the market value of all goods and services, including durable products (such as cars, washing  machines  and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellings. It also includes payments and fees to governments to obtain permits and licenses. Here, household consumption expenditure includes expenditure by non-profit institutions serving households (NPISH), even when reported separately by the country. Data are in constant 2005 US dollars.","n/a","An economy’s growth is measured by the change in the volume of its output or in the real incomes of its residents. The 2008 United Nations System of National Accountso offers three plausible indicators for calculating growth: the volume of gross domestic product (GDP), real gross domestic income and real gross national income. The volume of GDP is the sum of value added, measured at constant prices, by households, government and industries operating in the economy. GDP accounts for all domestic production, regardless of whether the income accrues to domestic or foreign institutions.","n/a","n/a","Country","n/a","n/a"]
["C","20_WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",255,"16.1.","Maternal deaths per 100 000 live births (ICD-10 codes O00–O99)","The maternal mortality ratio is the annual number of female deaths from any cause related to or aggravated by pregnancy or its management (excluding accidental or incidental causes), during pregnancy and childbirth or within 42 days of termination of pregnancy, irrespective of the duration and site of the pregnancy, per 100 000 live births, for a specified year.","n/a","Complications during pregnancy and childbirth are a leading cause of death and disability among women of reproductive age in developing countries. The maternal mortality ratio represents the risk associated with each pregnancy: the obstetric risk. It is also a Millennium Development Goal indicator for monitoring Goal 5 – improving maternal health.\nThe indicator monitors deaths related to pregnancy and childbirth. It reflects the capacity of health systems to provide effective health care to prevent and address the complications occurring during pregnancy and childbirth.","n/a","HFA (49)","n/a","n/a","n/a"]
["C","20_WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",75,"17.1.","Government (public) expenditure on health as a percentage of GDP","General government expenditure on health is the sum of total outlays for health maintenance, restoration or enhancement paid for in cash or supplied in kind by government entities, such as ministries of health and other ministries, parastatal organizations and social security agencies (without double counting the government transfer for social security and to extrabudgetary funds). It includes transfer payments to households to offset medical care costs to finance health services and goods. The estimates are, to the greatest extent possible, based on the NHA classification (see the 2006 World health reportr for details). The sources include both nationally reported data and estimates from international organizations such as the International Monetary Fund, OECD, UN and the World Bank. They may therefore differ somewhat from official national statistics reported by countries.","n/a","This is a core indicator of health financing systems. It contributes to the understanding of the relative level of public spending on health to the beneficiary population, expressed in international dollars to facilitate international comparisons.\nIt includes not only the resources channelled through government budgets but also the expenditure on health by parastatals and extrabudgetary entities, particularly with regard to compulsory health insurance.\nIt refers to resources collected and polled by public agencies, including all the revenue modalities.","n/a","HFA (53)","n/a","n/a","n/a"]
["C","20_WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",299,"2.1.","Prevalence of weekly tobacco use among adolescents","Current prevalence estimates for use of any tobacco product are derived from the results of the latest adolescent tobacco-use survey (or a survey that asks tobacco-use questions), adjusted using the WHO regression method for standardization described in the section on method of estimation below.\n“Tobacco use” includes cigarettes, cigars, pipes or any other oral tobacco and snuff products.\n“Current use” includes both daily and non-daily or occasional smoking.\nThis indicator is measured using the standard questionnaire during a health interview of a representative sample of the population aged 15 years and over. Many countries carry out such health interview surveys on a more or less regular basis, but most of the data are collected from multiple sources by the tobacco or health units at the WHO Regional Office for Europe. When data on male and female use are available, the total is calculated as the average of the male and female value.","n/a","The prevalence of current tobacco use among adolescents is an important measure of the health and economic burden of tobacco, and provides a baseline for evaluating the effectiveness of tobacco control programmes over time.\nThe risk of chronic diseases starts early in childhood and such behaviour continues into adulthood. Tobacco is an addictive substance and use often starts in adolescence, before the development of risk perception. By the time the risk to health is recognized, addicted individuals find it difficult to stop tobacco use.\nAdjusted and age-standardized prevalence rates are constructed solely for the purpose of comparing tobacco-use prevalence estimates across multiple countries or across multiple time periods for the same country. These rates should not be used to estimate the number of smokers in the population.","n/a","HBSC study (38)","Sex","n/a","n/a"]
["C","20_WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",302,"3.1.","Heavy episodic drinking (60 g of pure alcohol or around 6 standard alcoholic drinks on at least one occasion weekly) among adolescents","Heavy episodic drinking among adolescents is defined as the proportion of adolescents (15 years and over) who have had at least 60 g or more of pure alcohol on at least one occasion weekly. A consumption of 60 g  of  pure alcohol corresponds approximately to 6 standard alcoholic drinks. Numerator: the (appropriately weighted) number of respondents (15 years and over) who reported drinking 60 g or more of pure alcohol on at least one occasion weekly. Denominator: the total number of participants (15 years and over) responding to the corresponding question(s) in the survey plus abstainers.","n/a","Heavy episodic drinking is one of the key indicators that provide information regarding the patterns of alcohol consumption in a given country. More specifically, it identifies the proportion of the population that consumes high levels of alcohol on single occasions, and consequently highlights the population that has a higher risk of experiencing alcohol-related acute harm and also of developing chronic health complications.","n/a","ESPAD (34)","Sex","n/a","n/a"]
["C","20_WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",305,"4.1.","Prevalence of overweight and obesity among adolescents","(defined as BMI-for-age value above +1 Z-scoree and +2 Z-score relative to the 2007 WHO growth reference median, respectively)","n/a","Excess body weight predisposes people to various diseases, particularly cardiovascular diseases, diabetes mellitus type 2, sleep apnoea and osteoarthritis. Obesity is a growing public health problem, although effective interventions exist to prevent and treat it. Many of the risks diminish with weight loss.\nOverweight and obesity:\n are defined as abnormal or excessive fat accumulation that may impair health;\n have important consequences for morbidity, disability and quality of life;\n entail higher risk of developing type 2 diabetes, cardiovascular diseases, several common forms of cancer, osteoarthritis and other health problems;\n are serious public health challenges in the WHO European Region.\nWorldwide, more than 1.4 billion adults aged 20 and over were overweight in 2008. Of these, over 200 million men and nearly 300 million women were obese. In the WHO European Region the age-standardized prevalence of overweight was 58.3% among adult males and 51.2% among adult females.","n/a","HBSC study (38)","Sex","n/a","n/a"]
["C","20_WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",262,"6.1.","Agestandardized mortality rates from motor vehicle traffic accidents (ICD-10 codes V02–V04, V09, V12–V14, V19–V79, V82–V87\nand V89)",null,"n/a","n/a","n/a","HFA-MDB (mortality indicator database of WHO Europe)","n/a","n/a","n/a"]
["C","20_WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",262,"6.2.","Agestandardized mortality rates from accidental poisoning (ICD-10 codes X40–X49)",null,"n/a","n/a","n/a","HFA-MDB (mortality indicator database of WHO Europe)","n/a","n/a","n/a"]
["C","20_WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",265,"6.3.","Agestandardized mortality rates from alcohol poisoning (ICD-10 code X45)",null,"n/a","n/a","n/a","HFA-MDB (mortality indicator database of WHO Europe)","n/a","n/a","n/a"]
["C","20_WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",264,"6.4.","Agestandardized mortality rates from suicides (ICD-10 codes X60–X84)",null,"n/a","n/a","n/a","HFA-MDB (mortality indicator database of WHO Europe)","n/a","n/a","n/a"]
["C","20_WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",262,"6.5.","Agestandardized mortality rates from accidental falls (ICD-10 codes W00–W19)",null,"n/a","n/a","n/a","HFA-MDB (mortality indicator database of WHO Europe)","n/a","n/a","n/a"]
["C","20_WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",262,"6.6.","Agestandardized mortality rates from homicides and assaults (ICD-10 codes X85–Y09)",null,"n/a","n/a","n/a","HFA-MDB (mortality indicator database of WHO Europe)","n/a","n/a","n/a"]
["C","20_WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",244,"7.1.","Life expectancy at ages 1, 15, 45 and 65 years, disaggregated by sex","Life expectancy is the average number of years that a person of a given age (1, 15, 45 and 65 years) could expect to live if he or she were to pass through life exposed to the sex- and age-specific death rates prevailing at the time for a specific year, in a given country, territory or geographical area.","n/a","Life expectancy at different ages reflects the overall mortality level of a population over the specified ages. It summarizes the mortality pattern that prevails across all age groups above such ages.","n/a","HFA","Sex","n/a","n/a"]
["C","20_WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",246,"7.2.","Healthy life years at age 65, disaggregated by sex","This indicator measures the number of years that a person at age 65 is still expected to live in a healthy condition. Healthy life years is a health expectancy indicator that combines information on mortality and morbidity. The data required are the age-specific prevalence of the population in healthy and unhealthy conditions and age-specific mortality information. A healthy condition is defined as the absence of limitations in functioning/disability. The indicator is calculated separately for males and females. The indicator is also called disability-free life expectancy. Life expectancy at age 65 is defined as the mean number of years still to be lived by a person of 65 years if subjected throughout the rest of his or her life to the current mortality conditions.","n/a","Substantial resources are devoted to reducing the incidence, duration and severity of major diseases that cause morbidity but not mortality, and to reducing their impact on people’s lives. It is important to capture both fatal and non-fatal health outcomes in a summary measure of average levels of population health. Healthy life expectancy calculates the expectation of life for different health states, adjusted for severity distribution, making it sensitive to changes over time or differences between countries in the severity distribution of health states.","n/a","Eurostat (31 (EU-27h plus Iceland, Norway,\nSwitzerland and Croatia))","Sex","n/a","n/a"]
["C","20_WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",141,null,"Percentage of people treated successfully among laboratory confirmed pulmonary tuberculosis (TB) cases who completed treatment","Cure rate or treatment success (those cured plus those successfully completed tx without bacteriologic evidence) of sputum smear positive pulmonary TB cases is the most reliable indicator. TB cases registered under a national TB control programme in a given year that successfully completed treatment (without bacteriological evidence of success).\nAt the end of treatment, each patient is assigned one of the following five mutually exclusive treatment outcomes: completed, died, failed, defaulted or transferred out with outcome unknown. The cases assigned to these outcomes, plus any additional cases registered for treatment but not assigned to an outcome, add up to 100% of cases registered.","n/a","Treatment success is an indicator of the performance of national TB control programmes. In addition to the obvious benefit to individual patients, successful treatment of infectious cases of TB is essential to prevent the spread of the infection.\nDetecting and successfully treating a large proportion of TB cases should have an immediate impact on TB prevalence and mortality. By reducing transmission, successfully treating the majority of cases will also affect, with some delay, incidence of the disease.","n/a","WHO global TB report (46)","n/a","n/a","n/a"]
["C","20_WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",329,null,"Educational attainment of people aged 25 years and over who have completed at least secondary education","Educational attainment is defined as the highest level successfully completed by the person in the educational system of the country where the education was received. The levels of education are defined according to the International Standard Classification of Education (ISCED) of 1997.","n/a","Educational attainment is used as a measure of human capital and the level of an individual’s skills; it is also measure of the skills available in the population and the labour force. Higher levels of educational attainment are strongly associated with higher employment rates and are perceived as a means to better labour opportunities and earnings premiums, potentially increasing access to goods and services. Educational attainment is an indicator of accumulation of social capital that enhances potential for well-being. Higher attainment levels are associated with higher levels of employment, access to information and health.","n/a","UNESCO (32)","Level. Sex","n/a","n/a"]
["C","21_World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",345,1,"Mid-year population (thousands)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["C","21_World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",226,2,"Population aged ≥ 65 years (% of total)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["C","21_World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",347,3,"Total fertility rate",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["C","21_World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",345,4,"Natural population growth per 1000",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["C","21_World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",345,5,"Urban population (%)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["C","21_World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",243,6,"Crude death rate per 1000 population",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["C","21_World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",351,7,"Unemployment rate (%)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["C","21_World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",349,8,"Real GDP, PPP$ per capita",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["C","21_World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",349,9,"Annual growth rate of GDP (%)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["C","21_World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",259,25,"III defined causes of death (%)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["C","21_World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",267,26,"HIV Incidence per 100 000",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["C","21_World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",268,27,"TB Incidence per 100 000",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["C","21_World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",280,28,"Female breast Cancer incidence",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["C","21_World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",280,29,"Cervix uteri Cancer incidence",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["C","21_World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",280,30,"Trachea, bronchus and lung Cancer incidence ",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["C","21_World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",61,31,"Outpatient contacts per person per year",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["C","21_World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",52,32,"Discharges per 100 population",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["C","21_World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",55,33,"Average length of stay",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["C","21_World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",77,35,"Government expenditure on health as % of total government expenditure",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["C","21_World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",77,36,"Public sector health expenditure as % of total health expenditure","check definition","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["C","21_World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",285,41,"Estimated age-standardized prevalence of raised blood pressure (systolic blood pressure ≥ 140 or diastolic blood pressure ≥ 90)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["C","21_World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",32,42,"Physicians per 100 000 population",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["C","21_World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",38,43,"Nurses per 100 000 population",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["C","21_World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",38,44,"Midwives per 100 000 population",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["C","21_World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",32,45,"Dentists per 100 000 population",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["C","21_World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",32,46,"Pharmacists per 100 000 population",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["C","21_World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",32,47,"Physiotherapists per 100 000 population",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["C","21_World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",36,48,"Physician Graduates per 100 000 population",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["C","21_World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",39,49,"Nurses Graduates per 100 000 population",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["C","21_World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",32,"50-51","Physicians by age and sex (%)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["C","21_World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",32,"52-57","Physicians by specialty per 100 000 population (GP, general paediatricians, obstetricians and gynaecologists, psychiatrists, medical group of specialists, surgical group of specialists)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","22_AIHW. (2009). National Health Performance Framework (NHPF).   Retrieved from http://www.aihw.gov.au/WorkArea/DownloadAsset.aspx?id=6442472799",281,null,"Age-adjusted prevalence rate for Type 2 diabetes","nA","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","22_AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",5,null,"Bulk-billing for non-referred (GP) attendances","Percentage of non-referred attendances that were bulk-billed based on Medicare Benefits Scheme (MBS) services. This includes GP, vocationally registered GP, enhanced primary care and other non-referred GP services. Presented as a percentage of total annual GP attendances per financial year.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","22_AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",17,null,"Waiting time for emergency department care","Percentage of patients who were treated within national benchmarks for waiting times for\neach triage category in public hospital emergency departments. The national benchmarks are:\n􀁴 Resuscitation: immediate (within seconds)\n􀁴 Emergency: within 10 minutes\n􀁴 Urgent: within 30 minutes\n􀁴 Semi-urgent: within 60 minutes\n􀁴 Non-urgent: within 120 minutes.\nThis is presented as a percentage.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","22_AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",22,null,"Waiting time for elective surgery","The median waiting times for elective surgery in public hospitals. Data are presented as a number of days.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","22_AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",31,null,"Net growth in health workforce","The change over time in the full-time equivalent number of people employed in selected (medical practicioners, nurses and midwives) health workforce professions.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","22_AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",52,null,"Differential access to hospital procedures","The number of hospitalisations involving selected procedures per 1,000 population for selected population groups. Data are presented as a number per 1,000 population (age-standardised).","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","22_AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",52,null,"Hospitalisation for injury and poisoning","The number of hospitalisations with a principal diagnosis of injury or poisoning. This is presented as a number per 1,000 people (age-standardised).","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","22_AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",93,null,"Cost per case mix-adjusted separation for acute and non-acute care episodes","The average cost per hospitalisation for acute and non-acute care in selected public acute hospitals, adjusted for different hospital casemixes. Data are presented as dollars.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","22_AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",98,null,"Immunisation rates for vaccines in the national schedule","The proportion of 1, 2 and 5 year olds who have been assessed as fully immunised according to the Australian Childhood Immunisation Register.\nProportion of people aged 65 or over who have been vaccinated for influenza and pneumococcal disease.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","22_AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",100,null,"Immunisation rates for vaccines in the national schedule","The proportion of 1, 2 and 5 year olds who have been assessed as fully immunised according to the Australian Childhood Immunisation Register.\nProportion of people aged 65 or over who have been vaccinated for influenza and pneumococcal disease.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","22_AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",101,null,"Cancer screening rates","Proportion of the target population that participated in each of the 3 national cancer screening programs.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","22_AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",102,null,"Proportion of pregnancies with an antenatal visit in the first trimester","Pregnant females who have a live birth who had at least 1 antenatal visit in the first 13 weeks of pregnancy. Presented as a percentage of all females who had a live birth.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","22_AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",null,null,"Unsafe sharing of needles","The percentage of injecting drug users participating in surveys carried out at needle and syringe programs, who report sharing needles and syringes in the last month.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","22_AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",116,null,"Survival following acute coronary heart disease event","People aged 40–90 who survive an acute coronary heart disease event (heart attack).","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","22_AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",116,null,"Survival of people diagnosed with cancer (5 year relative rates)","The percentage of people diagnosed with cancer who survived for at least 5 years after diagnosis, relative to people in the general population.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","22_AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",122,null,"Selected potentially avoidable GP-type presentations to emergency departments","The number of presentations to emergency departments in public hospitals that potentially could have been avoided through the provision of non-hospital health services.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","22_AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",122,null,"Selected potentially preventable hospitalisations","Hospitalisations thought to have been avoidable if timely and adequate non-hospital care had been provided, either to prevent the condition occurring, or to prevent the hospitalisation for the condition. They are categorised as vaccine-preventable diseases (for example, measles), acute conditions (for example, ear, nose and throat infections) and chronic conditions, such as diabetes.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","22_AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",148,null,"Proportion of people with diabetes with a GP annual cycle of care","The proportion of people with diabetes who received a Medicare Benefits Scheme-funded\nGP annual cycle of care.\nThis indicator underestimates and misrepresents the proportion of people who have a GP annual cycle\nof care. The indicator is based on MBS claims for the diabetes cycle of care item, however, not all GPs\nare eligible for or choose to make these claims, and many people with diabetes have these checks\nthrough other means. As a result, the data presented are incomplete and results in a misleading\npicture of the current management of people with diabetes. The AIHW has judged that it is no longer\nappropriate to report on the proportion of people with diabetes who complete a GP annual cycle of\ncare indicator. Hence, this indicator has not been reported in Australia’s health 2014.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","22_AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",148,null,"Proportion of people with asthma with a written asthma action plan","The proportion of participants in the National Health Survey who reported having asthma, who said they had a written asthma action plan. An asthma plan is generally prepared for patients with asthma by a health-care professional and provides written instructions on how to recognise and respond to worsening asthma.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","22_AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",149,null,"Proportion of people with mental illness with a GP care plan","The number of people aged 16–84 with a GP mental health treatment plan, as a percentage of the estimated number of people aged 16–84 with mental illness.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","22_AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",183,null,"Adverse events treated in hospitals","The number of hospitalisations involving an adverse event. This is presented as a number per 100 hospitalisations.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","22_AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",236,null,"Falls resulting in patient harm in care setting","The number of hospitalisations in which a patient was treated for a fall that occurred in a hospital. This is presented as a number, and a number per 1,000 hospitalisations.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","22_AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",244,null,"Life expectancy by gender","The number of years that a baby born in a given year can expect to live, if age-specific death rates do not change.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","22_AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",254,null,"Infant/young child mortality rate (infants <1 year; children aged 1-4 years)","The number of deaths of infants (those aged under 1) divided by the number of live births, and the number of deaths of young children (those aged 1–4) divided by the population of the same age.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","22_AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",256,null,"Potentially avoidable deaths","The number of deaths each year of people aged under 75 that are potentially avoidable within the present health system. Divided into preventable deaths (those amenable to primary prevention or screening) and deaths from potentially treatable conditions (those amenable to therapeutic interventions) (SCRGSP 2012). Deaths due to some external causes, such as suicide and road accidents, are included as potentially preventable. Data are presented as an age-standardised rate (per 100,000 population).","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","22_AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",267,null,"Incidence of sexually transmitted infections and blood-borne viruses (syphillis, HIV, Hep B, Hep C, chlamydia, gonococcal infection)","The number of new cases of syphilis, HIV, hepatitis B, hepatitis C, chlamydia and gonococcal infections.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","22_AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",271,null,"Proportion of babies born with low birthweight","Percentage of liveborn singleton babies born with a birthweight of less than 2,500 grams.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","22_AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",272,null,"Self-assessed health status","The percentage of persons 15 and over who self-assess their health as excellent or very good.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","22_AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",275,null,"Severe or profound core activity limitation","The percentage of people who sometimes or always need help with core activities of daily living (mobility, self-care or communication).","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","22_AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",280,null,"Incidence of selected cancers (bowel, melanoma, lung cancer, female breast cancer, cervical), age-standardised","The number of new cases of breast cancer in females, bowel cancer, melanoma of the skin, lung cancer and cervical cancer. Presented as age-standardised numbers per 100,000 population (per 100,000 females for breast and cervical cancers).","n/a","n/a","n/a","n/a","n/a","http://meteor.aihw.gov.au/content/index.phtml/itemId/598845","n/a"]
["D","22_AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",283,null,"Incidence of heart attacks","Number of deaths from coronary heart disease plus the number of non-fatal hospitalisations for heart attacks and unstable angina, per 100,000 population.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","22_AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",288,null,"Incidence of end-stage kidney disease rate","Number of new cases of treated end-stage kidney disease (ESKD) plus number of individuals who died with an underlying cause of death of renal failure or an associated cause of death of chronic renal failure, end-stage, and did not receive dialysis or transplant treatment (untreated cases), per 100,000 population.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","22_AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",293,null,"Psychological distress","The proportion of adults with very high levels of psychological distress as measured using the Kessler Psychological Distress Scale—10 items (K10). (The K10 is a scale of non-specific psychological distress based on 10 questions about negative emotional states in the 4 weeks before being interviewed.)","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","22_AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",298,null,"health literacy","Percentage of 15–74 year olds with health literacy above the minimum level regarded as necessary for understanding and using information relating to health issues.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","22_AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",299,null,"Proportion of adults who are daily smokers","Adults (aged 18 and over) who smoke tobacco (manufactured or roll-your-own) every day. Presented as an age-standardised percentage.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","22_AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",302,null,"Proportion of adults at risk of long-term harm from alcohol","People aged 18 and over whose alcohol consumption pattern puts them at risk of lifetime alcohol-related harm (consumed more than 2 standard drinks per day on average) according to 2009 National Health and Medical Research Council guidelines. Presented as an age-standardised percentage.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","22_AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",304,null,"Fruit and vegetable intake","The percentage of people aged 12 and over eating sufficient serves of fruit and vegetables each day to obtain a health benefit.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","22_AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",305,null,"Proportion of persons obese and overweight","Proportion of people who are overweight or obese. Body mass index (BMI) is a measure that classifies a person as overweight, obese, normal weight or underweight, based on their weight and height. Overweight is defined as a BMI of 25 or over but less than 30, and obesity is defined as a BMI of 30 or more.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","22_AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",306,null,"Physical inactivity","The percentage of adults who did not participate in sufficient regular physical activity to gain a health benefit. The recommended minimum level of activity is 150 minutes per week of walking or other moderate or vigorous activity, over at least 5 sessions","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","22_AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",320,null,"Children exposed to tobacco smoke in the home","The percentage of households with dependent children (aged 0–14) where adults report smoking inside the home.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","22_AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",326,null,"Water quality","The percentage of households connected to mains or town water.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","22_AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",329,null,"Educational attainment for selected school years and adults","The percentage of people aged 25–64 with a non-school qualification (diploma, certificate or degree).","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","22_AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",354,null,"Proportion of people with low income","There are numerous ways to measure low income. The method chosen for this indicator is to consider people living in households with an equivalised disposable household income (that is, after-tax income, adjusted for the number of people in the household) that is less than 50% of the national median. These data are presented as a percentage of all people.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",17,null,"Emergency Department Wait Time for Physician Initial Assessment (Hours, 90th Percentile)","Time is crucial to the effectiveness and outcome of patient care, especially for emergency patients. This indicator looks at the maximum length of time (in hours) that 90% of patients wait in the emergency department (ED) for a physician initial assessment.","This indicator examines the time interval between the earlier of triage date/time or registration date/time and the date/time of physician initial assessment in the ED. It is measured in hours and represents the maximum length of time that 90% of patients stay in the ED until they are initially assessed by a physician.","Lower is better. It means that 90% of patients spent less time in the ED waiting for a physician’s initial assessment.","n/a","·      Canadian Community Health Survey, Statistics Canada","n/a","n/a","http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=5111829"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",17,null,"Total Time Spent in Emergency Department for Admitted Patients (Hours, 90th Percentile)","Time is crucial to the effectiveness and outcome of patient care, especially for emergency patients. This indicator measures the maximum total length of time that 90% of patients admitted from the emergency department (ED) spend in the ED.","This indicator measures the time interval between the earlier of triage date/time or registration date/time and the date/time when a patient is admitted and leaves the ED. It is measured in hours and represents the maximum total length of time that 90% of patients admitted from the ED stay in the ED.","Lower is better. It means that 90% of admitted patients spent less time in the ED before transferring to an inpatient unit or an operating room.","n/a","·      Canadian Institute for Health Information","n/a","n/a","http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=5111863"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",32,null,"Family Medicine Physicians per 100,000 Population",null,"n/a","Regional Characteristics and Inputs","n/a","·      Canadian Institute for Health Information","n/a","n/a","n/a"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",46,null,"Number of Acute Care Beds",null,"n/a","Facility Characteristics","n/a","·      Canadian Institute for Health Information","n/a","n/a","n/a"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",46,null,"Type of Hospital",null,"n/a","Facility Characteristics","n/a","·      Canadian Institute for Health Information","n/a","n/a","n/a"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",47,null,"Long-Term Care Facility Size",null,"n/a","Facility Characteristics","n/a","·      Canadian Institute for Health Information","n/a","n/a","n/a"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",47,null,"Long-Term Care Facility Location",null,"n/a","Facility Characteristics","n/a","·      Canadian Institute for Health Information","n/a","n/a","n/a"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",52,null,"Number of Acute Care Hospital Stays",null,"n/a","Facility Characteristics","n/a","·      Canadian Institute for Health Information","n/a","n/a","n/a"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",52,null,"Self-Injury Hospitalizations","Age-standardized rate of hospitalization in a general hospital due to self-injury, per 100,000 population.","This indicator examines the age-standardized rate of hospitalization in a general hospital due to self-injury. It is calculated by dividing the total number of discharges for self-injury for patients age 15 and older by the mid-year population age 15 and older.","This indicator looks at how many patients were admitted to the hospital because of a deliberate bodily injury. High rates may reflect a failure to prevent self-injuries severe enough to require hospitalization.\nLower is better. It means fewer hospitalizations for self-injury.","n/a","·      Canadian Institute for Health Information","n/a","n/a","http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=1114197"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",52,null,"Hospitalized Heart Attacks (AMI)","This indicator measures the age-standardized rate of new acute myocardial infarction (AMI) events admitted to an acute care hospital for the population age 18 and older.\n\nA new event is defined as a first-ever hospitalization for an AMI or a recurrent hospitalized AMI occurring more than 28 days after the admission for the previous event in the reference period.","This indicator examines the age-standardized rate of new heart attacks admitted to an acute care hospital. It is calculated by dividing the total number of new heart attacks for persons age 20 and older by the mid-year population age 20 and older and multiplying by 100,000.","Acute myocardial infarction (AMI), or heart attack, is one of the leading causes of morbidity and death. This indicator looks at the age-standardized rate of new heart attacks admitted to an acute care hospital for the population age 20 and older. Although heart attacks admitted to a hospital do not reflect all heart attacks in the community, this information provides a useful and timely estimate of the disease occurrence in the population.\nLower is better. Low rates mean fewer hospitalized heart attacks (acute myocardial infarctions), suggesting that fewer heart attacks occurred in the community.","n/a","·      Canadian Institute for Health Information","n/a","n/a","http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=5111832"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",52,null,"Hospitalized Strokes","This indicator measures the age-standardized rate of new stroke events admitted to an acute care hospital for the Canadian population age 18 and older.\nA new event is defined as a first-ever hospitalization for stroke or a recurrent hospitalized stroke occurring more than 28 days after the admission for the previous event in the reference period. ","This indicator examines the age-standardized rate of new strokes admitted to an acute care hospital. It is calculated by dividing the total number of new strokes for persons age 20 and older by the mid-year population age 20 and older and multiplying by 100,000.","Stroke is one of the leading causes of long-term disability and death. This indicator looks at the age-standardized rate of new strokes admitted to an acute care hospital for the Canadian population age 20 and older. Although strokes admitted to a hospital do not reflect all strokes in the community, this information provides a useful and timely estimate of the disease occurrence in the population.\nLower is better. Low rates mean fewer hospitalized strokes, suggesting that fewer strokes occurred in the community.","n/a","·      Canadian Institute for Health Information","n/a","n/a","http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=5111834"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",55,null,"Average Length of a Hospital Stay (Days)",null,"n/a","Facility Characteristics","n/a","·      Canadian Institute for Health Information","n/a","n/a","n/a"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",55,null,"Patient Days in Alternate Level of Care (Percentage)",null,"n/a","Regional Characteristics and Inputs","n/a","·      Canadian Institute for Health Information","n/a","n/a","n/a"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",55,null,"Average Length of a Long-Term Care Stay (Years)",null,"n/a","Facility Characteristics","n/a","·      Canadian Institute for Health Information","n/a","n/a","n/a"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",55,null,"Average Acute Care Resource Use Intensity",null,"n/a","Facility Characteristics","n/a","·      Canadian Institute for Health Information","n/a","n/a","n/a"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",55,null,"Total Acute Care Resource Use Intensity",null,"n/a","Facility Characteristics","n/a","·      Canadian Institute for Health Information","n/a","n/a","n/a"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",58,null,"Hospital Occupancy Rate",null,"n/a","Facility Characteristics","n/a","·      Canadian Institute for Health Information","n/a","n/a","n/a"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",65,null,"Patients Admitted Through the Emergency Department",null,"n/a","Facility Characteristics","n/a","·      Canadian Institute for Health Information","n/a","n/a","n/a"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",65,null,"Number of Emergency Department Visits",null,"n/a","Facility Characteristics","n/a","·      Canadian Institute for Health Information","n/a","n/a","n/a"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",69,null,"Low-Risk Caesarean Sections","This indicator examines the risk-adjusted rate of deliveries via C-section among singleton term cephalic pregnancies for women without placenta previa or previous C-section. The indicator is expressed as the rate of C-sections per 100 deliveries.","This indicator examines the risk-adjusted rate of deliveries via C-section among singleton term cephalic pregnancies for women without placenta previa or previous C-section. The indicator is expressed as the rate of C-sections per 100 deliveries.","Unnecessary C-section delivery increases maternal morbidity and mortality and is associated with higher costs. This indicator looks at the rate of deliveries via C-section as a measure of appropriateness of care. This indicator is limited to pregnancies considered to be at low risk for C-section.\nLower is better. It means that there were fewer C-sections among low-risk pregnancies. Lower rates may indicate more appropriate as well as more efficient care.","n/a","·      Canadian Institute for Health Information","n/a","n/a","http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=5111842"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",88,null,"Administrative Service Expense as a Percentage of Total Expense","This indicator examines administrative expenses. It is calculated by dividing the legal entity’s administrative expenses net of recoveries (including expenses for administration, finance, human resources and communications) by total expenses net of recoveries.","This indicator examines administrative expenses. It is calculated by dividing the legal entity’s administrative expenses net of recoveries (including expenses for administration, finance, human resources and communications) by total expenses net of recoveries.","Examining administrative costs in relation to total expenses can help improve cost-efficiency. This indicator looks at the percentage of the legal entity’s total expenses that were spent in administrative departments such as finance and human resources.\nA higher percentage indicates that administrative costs were a large portion of the region’s hospital expenses; a lower percentage indicates that administrative costs were a small portion of a region’s hospital expenses.","n/a","·      Canadian Institute for Health Information","n/a","n/a","http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=1114235"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",94,null,"Cost of a Standard Hospital Stay (cost per weighted case (CPWC))","This indicator measures the ratio of a hospital's total acute inpatient care expenses to the number of acute inpatient weighted cases related to the inpatients for which the hospital provided care.","This indicator divides a hospital’s total inpatient expenses by the number of hospitalizations it sees in a year. The number is adjusted for some differences in the types of patients a hospital sees to make it more comparable with other hospitals. The province of Quebec collects financial and statistical data differently than the rest of Canada does. Techniques have been used to enable the use of data from Quebec to calculate comparable indicators.","This measure looks at the cost of a standard hospital stay after adjusting for differences in the types of patients a hospital sees. It gives a sense of how efficiently acute care hospital services are provided, though it does not tell us how well those services are delivered.\nA higher cost means that a hospital or region spent relatively more per patient stay. When comparing hospital costs, it is important to consider the type of hospital. For example, inpatient care at teaching hospitals is generally more expensive, because of the extra people and time it takes to train new doctors and nurses, as well as extra costs related to research activities.","n/a","·      Canadian Institute for Health Information","n/a","n/a","http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=1114237"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",100,null,"Influenza Immunization for Seniors","This indicator examines the percentage of persons age 65 and older who reported that they had their last influenza immunization (flu shot) less than 1 year ago, compared with the total number of survey respondents age 65 and older.","This indicator examines the percentage of persons age 65 and older who reported that they had their last influenza immunization (flu shot) less than 1 year ago, compared with the total number of survey respondents age 65 and older.","It has been recognized for many years that people age 65 and older are at greater risk of serious complications from the flu than young, healthy adults. For this reason, seniors age 65 and older are advised to get the influenza vaccine each year. This indicator looks at how many people age 65 and older got the flu shot in the last year.\nHigher is better. It means that a higher percentage of seniors reported that they had their flu shot.","n/a","·      Canadian Community Health Survey, Statistics Canada","n/a","n/a","http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=5112002"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",111,null,"Hospital Deaths (HSMR) ","Hospital Standardized Mortality Ratio (HSMR)","This indicator examines the ratio of the actual number of in-hospital deaths in a region or hospital to the number that would have been expected based on the types of patients a region or hospital treats. The HSMR is calculated by dividing the actual number of in-hospital deaths by the expected number of in-hospital deaths, for conditions accounting for about 80% of inpatient mortality.","This indicator of health care quality measures whether the number of deaths at a hospital is higher or lower than you would expect, based on the average experience of Canadian hospitals (set at 100 in 2012). When tracked over time, this measure can indicate whether hospitals have been successful in reducing patient deaths and improving care.\nLower is better. The measure is adjusted for some of the differences in the types of patients a hospital sees. For example, more deaths would be expected in a hospital that cares for severe trauma patients than in one that focuses on maternity care. The HSMR is most useful to follow a hospital’s performance over time.","n/a","·      Canadian Institute for Health Information","n/a","n/a","http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=1114189"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",112,null,"Hospital Deaths Following Major Surgery","risk-adjusted rate of in-hospital deaths within 30 days of major surgery per 100 major surgical cases","This indicator examines the risk-adjusted rate of in-hospital deaths within 30 days of major surgery per 100 major surgical cases. The risk-adjusted rate is calculated by dividing the observed number of deaths by the expected number of deaths and multiplying by the Canadian average.","Although not all deaths are preventable, reporting on and comparing mortality rates for major surgical procedures may increase awareness of surgical safety and act as a signal for hospitals to investigate their processes of care. This indicator looks at the rate of in-hospital deaths within 30 days of major surgery per 100 major surgical cases.\nLower is better. It means that there were fewer in-hospital deaths due to all causes within 30 days of major surgery.","n/a","·      Canadian Institute for Health Information","n/a","n/a","http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=5111812"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",114,null,"Hip Fracture Surgery Within 48 Hours","This indicator looks at how many patients age 65 and older received hip fracture surgery within 48 hours of being admitted to hospital.","This indicator examines the risk-adjusted proportion of hip fractures that were surgically treated within 48 hours of a patient’s admission to hospital, among patients age 65 and older. Wait time is calculated from the admission date/time of the first hospitalization with a hip fracture diagnosis to the procedure date/time of the hip fracture surgery.","Long wait times in older patients who have a hip fracture are associated with a higher risk of complications following surgery, including death.\nHigher is better. It means that a greater proportion of patients age 65 and older underwent hip fracture repair surgery within 48 hours of being admitted to hospital.","n/a","·      Canadian Institute for Health Information","n/a","n/a","http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=1114199"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",122,null,"Ambulatory Care Sensitive Conditions","This age-standardized rate is calculated by dividing the total number of acute care hospitalizations for ambulatory care sensitive conditions in patients younger than age 75 by the mid-year population younger than age 75 and multiplying by 100,000.","This age-standardized rate is calculated by dividing the total number of acute care hospitalizations for ambulatory care sensitive conditions in patients younger than age 75 by the mid-year population younger than age 75 and multiplying by 100,000.","This indicator looks at the acute care hospitalization rate for conditions that can be prevented or reduced if appropriate ambulatory care is provided.\nLower is better. Low rates suggest fewer hospitalizations for ambulatory care sensitive conditions. High rates could reflect problems in obtaining access to appropriate primary care.","n/a","·      Canadian Institute for Health Information","n/a","n/a","http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=1114181"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",125,null,"All Patients Readmitted to Hospital ","risk-adjusted rate of urgent readmissions to acute care facilities within 30 days of discharge for the obstetric, patients age 19 and younger, surgical and medical patient groups","This indicator examines the risk-adjusted rate of urgent readmissions to acute care facilities within 30 days of discharge for the obstetric, patients age 19 and younger, surgical and medical patient groups. The risk-adjusted rate is calculated by dividing the observed number of readmissions by the expected number of readmissions and multiplying by the Canadian average.","Urgent returns to hospital are difficult for patients and costly for the health system. This indicator looks at how many patients were readmitted to hospital within 30 days of their initial discharge. While not all readmissions can be prevented, the rate can often be reduced through better follow-up and coordination of care for patients after discharge.\nLower is better. Lower readmission rates may suggest effective interventions during and after a hospitalization.","n/a","·      Canadian Institute for Health Information","n/a","n/a","http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=1114173"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",125,null,"Medical Patients Readmitted to Hospital ","risk-adjusted rate of urgent readmissions to acute care facilities within 30 days of discharge for the medical patient group","This indicator examines the risk-adjusted rate of urgent readmissions to acute care facilities within 30 days of discharge for the medical patient group. The risk-adjusted rate is calculated by dividing the observed number of readmissions by the expected number of readmissions and multiplying by the Canadian average.","Urgent returns to hospital are difficult for patients and costly for the health system. This indicator looks at how many medical patients were readmitted to hospital within 30 days of their initial discharge. While not all readmissions can be prevented, the rate can often be reduced through better follow-up and coordination of care for patients after discharge.\nLower is better. Lower readmission rates may suggest effective interventions during and after a hospitalization.","n/a","·      Canadian Institute for Health Information","n/a","n/a","http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=1114167"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",125,null,"Surgical Patients Readmitted to Hospital ","risk-adjusted rate of urgent readmissions to acute care facilities within 30 days of discharge for the surgical patient group","his indicator examines the risk-adjusted rate of urgent readmissions to acute care facilities within 30 days of discharge for the surgical patient group. The risk-adjusted rate is calculated by dividing the observed number of readmissions by the expected number of readmissions and multiplying by the Canadian average.","Urgent returns to hospital are difficult for patients and costly for the health system. This indicator looks at how many surgical patients were readmitted to hospital within 30 days of their initial discharge. While not all readmissions can be prevented, the rate can often be reduced through better follow-up and coordination of care for patients after discharge.\nLower is better. Lower readmission rates may suggest effective interventions during and after a hospitalization.","n/a","·      Canadian Institute for Health Information","n/a","n/a","http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=1114179"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",125,null,"Obstetric Patients Readmitted to Hospital ","isk-adjusted rate of urgent readmissions to an acute care facility within 30 days of discharge for the obstetric patient group","This indicator examines the risk-adjusted rate of urgent readmissions to an acute care facility within 30 days of discharge for the obstetric patient group. The risk-adjusted rate is calculated by dividing the observed number of readmissions by the expected number of readmissions and multiplying by the Canadian average.","Urgent returns to hospital are difficult for patients and costly for the health system. This indicator looks at how many obstetric patients were readmitted to hospital within 30 days of their initial discharge. While not all readmissions can be prevented, the rate can often be reduced through better follow-up and coordination of care for patients after discharge.","n/a","·      Canadian Institute for Health Information","n/a","n/a","http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=1114171"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",125,null,"Patients 19 and Younger Readmitted to Hospital ","30-Day Readmission: Patients Age 19 and Younger","This indicator measures the risk-adjusted rate of urgent readmissions to acute care facilities within 30 days of discharge for patients age 19 and younger. The risk-adjusted rate is calculated by dividing the observed number of readmissions by the expected number of readmissions and multiplying by the Canadian average.","Urgent returns to hospital are difficult for patients and costly for the health system. This indicator looks at how many patients age 19 and younger were readmitted to hospital within 30 days of their initial discharge. While not all readmissions can be prevented, the rate can often be reduced through better follow-up and coordination of care for patients after discharge.\nLower is better. Lower readmission rates may suggest effective interventions during and after a hospitalization.","n/a","·      Canadian Institute for Health Information","n/a","n/a","http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=1114175"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",130,null,"Repeat Hospital Stays for Mental Illness","This indicator measures what’s known as the \"revolving door\" syndrome for mental health patients. It looks at how many patients have at least 3 repeat hospital stays for a mental illness in a single year. Frequent hospitalizations may reflect challenges in getting appropriate care, medication and support in the community.","This indicator examines the risk-adjusted proportion of patients with repeat hospitalizations for mental illness. It is calculated by dividing the number of individuals who had at least 3 episodes of care for a selected mental illness in a 1-year period by the number of individuals who had at least 1 episode of care for a selected mental illness in a 1-year period.","Lower is better. It means that a lower proportion of patients had repeat hospitalizations for mental illness, which suggests that appropriate care was provided.","n/a","·      Canadian Institute for Health Information","n/a","n/a","http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=1114193"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",131,null,"Patient Flow for Hip Replacement","nA","nA","nA","n/a","·      Canadian Institute for Health Information","n/a","n/a","n/a"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",151,null,"Have a Regular Doctor","The percentage of the population that reported having a regular medical doctor. \nAccess to family doctors is an important concern for the public and a priority for many governments. This indicator looks at how many Canadians age 12 and older have a regular primary care physician. Having a regular doctor is important for early screening, prevention and treatment of medical conditions.","This indicator examines the percentage of the population that reported having a regular medical doctor. It is calculated by dividing the number of people who report that they have a regular medical doctor by the number of survey respondents.","Higher is better. It means that a greater percentage of Canadians had a regular doctor.","n/a","·      Canadian Institute for Health Information","n/a","n/a","http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=1114249"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",177,null,"Obstetric Trauma (With Instrument)","The indicator examines the rate of obstetric traumas per 100 instrument-assisted vaginal deliveries. ","The indicator examines the rate of obstetric traumas per 100 instrument-assisted vaginal deliveries. The risk-adjusted rate was calculated by dividing the observed number of cases by the expected number of cases and multiplying by the Canadian average.","Obstetric trauma is among the most common adverse events in Canada and may result in longer lengths of stay for mothers, as well as chronic complications. This indicator is intended to be used as a flag to identify areas for improvement and to help identify processes of care that require hospital-level evaluation.\nLower is better. It means that there were fewer lacerations that were third degree or greater in severity.","n/a","·      Canadian Institute for Health Information","n/a","n/a","http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=5111843"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",179,null,"In-Hospital Sepsis","The risk-adjusted rate of sepsis that is identified after admission","This indicator examines the risk-adjusted rate of in-hospital sepsis events per 1,000 discharges. The unit of analysis is a hospital discharge. The risk-adjustment model was applied separately to children (younger than age 18) and adults (age 18 and older) to account for the difference in risk of developing sepsis in these 2 groups. For each group, the risk-adjustment model includes age, sex, comorbidity (Charlson Index), admission category (elective versus urgent), surgical versus medical patients and immunocompromised states.","Lower is better. It means that fewer in-hospital sepsis events occurred per 1,000 discharges.\nAppropriate preventive and therapeutic measures during a hospital stay can reduce the rate of infections and/or progression of infection to sepsis. This indicator looks at the extent to which acute care hospitals are effective in preventing the development of sepsis.","n/a","·      Canadian Institute for Health Information","n/a","n/a","http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=5111838"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",186,null,"Potentially Inappropriate Medication Prescribed to Seniors","Percentage Rate of Beers Drug Use Among Seniors on Public Drug Programs","This indicator examines the rate of seniors using public drug programs who have a claim for a drug from the Beers list. It is calculated by dividing the total number of seniors with at least 1 claim for a drug from the Beers list that was accepted by a public drug program by the total number of seniors with at least 1 claim for any drug accepted by a public drug program.","This indicator looks at the rate of seniors who take a medication identified as potentially inappropriate to prescribe to seniors because it poses an elevated risk of adverse effects, it lacks efficacy in seniors or safer alternatives are available.\nA lower rate on this indicator means that fewer seniors took a medication from the Beers list (a list of drugs that are potentially inappropriate for seniors). It should be noted that there may be cases where it is appropriate for seniors to take drugs on the Beers list.","n/a","·      Canadian Institute for Health Information","n/a","n/a","http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=1114209"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",226,null,"Seniors (65 and Older)",null,"n/a","Regional Characteristics and Inputs","n/a","·      Statistics Canada","n/a","n/a","n/a"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",229,null,"Female Long-Term Care Residents ",null,"n/a","Facility Characteristics","n/a","·      Canadian Institute for Health Information","n/a","n/a","n/a"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",229,null,"Long-Term Care Residents With Dementia",null,"n/a","Facility Characteristics","n/a","·      Canadian Institute for Health Information","n/a","n/a","n/a"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",229,null,"Long-Term Care Residents With Congestive Heart Failure",null,"n/a","Facility Characteristics","n/a","·      Canadian Institute for Health Information","n/a","n/a","n/a"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",229,null,"Long-Term Care Residents Older Than 85",null,"n/a","Facility Characteristics","n/a","·      Canadian Institute for Health Information","n/a","n/a","n/a"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",229,null,"Long-Term Care Residents Younger Than 65",null,"n/a","Facility Characteristics","n/a","·      Canadian Institute for Health Information","n/a","n/a","n/a"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",231,null,"Improved Physical Functioning in Long-Term Care","Percentage of Residents Whose Status Improved on Mid-Loss ADL Functioning (Transfer and Locomotion) or Remained Completely Independent in Mid-Loss ADLs. \nThis indicator looks at how many long-term care residents improved or remained independent in transferring and locomotion. Being independent or showing an improvement in these 2 activities of daily living (ADLs) may indicate an improvement in overall health status and provide a sense of autonomy for the resident.","This indicator examines the percentage of residents who improved or remained independent in transferring and locomotion (mid-loss ADLs). It is calculated by dividing the number of residents whose mid-loss ADLs improved or who remained independent by the number of all residents (excluding comatose and end-of-life residents) with valid assessments within the applicable time period.","his indicator looks at how many long-term care residents improved or remained independent in transferring and locomotion. Being independent or showing an improvement in these 2 activities of daily living (ADLs) may indicate an improvement in overall health status and provide a sense of autonomy for the resident.\nHigher is better. It means that a higher percentage of residents improved or remained independent in transferring and locomotion (mid-loss ADLs).","n/a","·      Canadian Institute for Health Information","n/a","n/a","http://indicatorlibrary.cihi.ca/display/HSPIL/Improved+Physical+Functioning+in+Long-Term+Care"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",231,null,"Worsened Physical Functioning in Long-Term Care","Percentage of Residents Whose Mid-Loss ADL Functioning (Transfer and Locomotion) Worsened or Who Remained Completely Dependent in Mid-Loss ADLs\nThis indicator looks at how many long-term care residents worsened or remained completely dependent in transferring and locomotion. An increased level of dependence on others to assist with transferring and locomotion may indicate deterioration in the overall health status of a resident."," This indicator examines the percentage of residents who worsened or remained dependent in transferring and locomotion (mid-loss ADLs). It is calculated by dividing the number of residents whose mid-loss ADLs worsened or who remained dependent (had a maximum score) by the number of all residents (excluding comatose and end-of-life residents) with valid assessments within the applicable time period.","This indicator looks at how many long-term care residents worsened or remained completely dependent in transferring and locomotion. An increased level of dependence on others to assist with transferring and locomotion may indicate deterioration in the overall health status of a resident.\nLower is better. It means that a lower percentage of residents worsened or remained dependent in transferring and locomotion (mid-loss ADLs).","n/a","·      Canadian Institute for Health Information","n/a","n/a","http://indicatorlibrary.cihi.ca/display/HSPIL/Worsened+Physical+Functioning+in+Long-Term+Care"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",232,null,"Worsened Depressive Mood in Long-Term Care","This indicator looks at the number of long-term care residents whose mood from symptoms of depression worsened. Depression affects quality of life and may also contribute to deteriorations in activities of daily living (ADLs) and an increased sensitivity to pain.","This indicator examines the percentage of residents whose mood from symptoms of depression worsened. It is calculated by dividing the number of residents whose mood from symptoms of depression worsened by the number of all residents (excluding comatose residents) with valid assessments whose depression symptoms could worsen within the applicable time period.","This indicator looks at the number of long-term care residents whose mood from symptoms of depression worsened. Depression affects quality of life and may also contribute to deteriorations in activities of daily living (ADLs) and an increased sensitivity to pain.\nLower is better. It means that a lower percentage of residents had symptoms of depression that worsened.","n/a","·      Canadian Institute for Health Information","n/a","n/a","http://indicatorlibrary.cihi.ca/display/HSPIL/Worsened+Depressive+Mood+in+Long-Term+Care"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",233,null,"Experiencing Pain in Long-Term Care","This indicator looks at how many long-term care residents had pain. The consequences of pain include increased difficulty with activities of daily living (ADLs), depression and lower quality of life. The prevalence of persistent pain increases with age, and proper treatment of pain is necessary to improve the health status of residents.","This indicator examines the percentage of residents who had pain. It is calculated by dividing the number of residents who had moderate daily pain or horrible/excruciating pain at any frequency by the number of all residents with valid assessments within the applicable time period.","This indicator looks at how many long-term care residents had pain. The consequences of pain include increased difficulty with activities of daily living (ADLs), depression and lower quality of life. The prevalence of persistent pain increases with age, and proper treatment of pain is necessary to improve the health status of residents.\nLower is better. It means that a lower percentage of residents had moderate daily pain or horrible/excruciating pain at any frequency.","n/a","·      Canadian Institute for Health Information","n/a","n/a","http://indicatorlibrary.cihi.ca/display/HSPIL/Experiencing+Pain+in+Long-Term+Care"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",234,null,"Experiencing Worsened Pain in Long-Term Care","This indicator looks at how many long-term care residents had worsened pain. Worsening pain can be related to a number of issues, including medication complications and/or improper management of medication. Careful monitoring of changes in pain can help identify appropriate treatment. Worsened pain raises concerns about the resident's health status and the quality of care received.","This indicator examines the percentage of residents who had worsened pain. It is calculated by dividing the number of residents who had worsened pain by the number of all residents with valid assessments within the applicable time period.","This indicator looks at how many long-term care residents had worsened pain. Worsening pain can be related to a number of issues, including medication complications and/or improper management of medication. Careful monitoring of changes in pain can help identify appropriate treatment. Worsened pain raises concerns about the resident’s health status and the quality of care received.\nLower is better. It means that a lower percentage of residents had worsened pain.","n/a","·      Canadian Institute for Health Information","n/a","n/a","http://indicatorlibrary.cihi.ca/display/HSPIL/Experiencing+Worsened+Pain+in+Long-Term+Care"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",236,null,"Worsened Pressure Ulcer in Long-Term Care","Percentage of Residents Whose Stage 2 to 4 Pressure Ulcer Worsened","This indicator examines the percentage of residents whose stage 2 to 4 pressure ulcer had worsened since the previous assessment. It is calculated by dividing the number of residents whose stage 2 to 4 pressure ulcer worsened by the number of all residents with valid assessments (excluding those who maintained a stage 4 ulcer) within the applicable time period.","his indicator looks at the number of long-term care residents whose stage 2 to 4 pressure ulcer had worsened since the previous assessment. Pressure ulcers can happen when a resident sits or lies in the same position for a long period of time. Immobility may be due to many physical and psychological factors, neurological diseases like Alzheimer’s and improper nutrition or hydration. Careful monitoring is required to ensure good quality of care.\nLower is better. It means that a lower percentage of residents had a stage 2 to 4 pressure ulcer that worsened.","n/a","·      Canadian Institute for Health Information","n/a","n/a","http://indicatorlibrary.cihi.ca/display/HSPIL/Worsened+Pressure+Ulcer+in+Long-Term+Care"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",236,null,"Restraint Use in Long-Term Care","This indicator examines the percentage of residents in daily physical restraints. It is calculated by dividing the number of residents who were in daily physical restraints by the number of all residents with valid assessments within the applicable time period.","This indicator examines the percentage of residents in daily physical restraints. It is calculated by dividing the number of residents who were in daily physical restraints by the number of all residents with valid assessments within the applicable time period.","This indicator looks at how many long-term care residents are in daily physical restraints. Restraints are sometimes used to manage behaviours or to prevent falls. There are many potential physical and psychological risks associated with applying physical restraints to older adults, and such use raises concerns about safety and quality of care.\nLower is better. It means that a lower percentage of long-term care residents were in daily physical restraints.","n/a","·      Canadian Institute for Health Information","n/a","n/a","http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=1114217"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",236,null,"Falls in the Last 30 Days in Long-Term Care","Percentage of Residents Who Fell in the Last 30 Days","This indicator examines the percentage of residents who fell in the 30 days leading up to the date of their quarterly clinical assessment. It is calculated by dividing the number of residents who had a fall in those 30 days by the number of all residents with valid assessments within the applicable time period.","This indicator looks at how many long-term care residents fell in the 30 days leading up to the date of their quarterly clinical assessment. Falls are the leading cause of injury for seniors and contribute to a significant burden on the health care system. Residents are at a higher risk of falling if they have a history of falls or are taking certain medications. Preventing falls increases the safety and quality of care of residents.\nLower is better. It means that a lower percentage of long-term care residents had a fall in the month leading up to their quarterly assessment.","n/a","·      Canadian Institute for Health Information","n/a","n/a","http://indicatorlibrary.cihi.ca/display/HSPIL/Falls+in+the+Last+30+Days+in+Long-Term+Care"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",237,null,"Potentially Inappropriate Use of Antipsychotics in Long-Term Care","This indicator examines the percentage of residents on antipsychotics without a diagnosis of psychosis. It is calculated by dividing the number of residents who received antipsychotic medication by the number of all residents with valid assessments within the applicable time period.","This indicator examines the percentage of residents on antipsychotics without a diagnosis of psychosis. It is calculated by dividing the number of residents who received antipsychotic medication by the number of all residents with valid assessments within the applicable time period.","This indicator looks at how many long-term care residents are taking antipsychotic drugs without a diagnosis of psychosis. These drugs are sometimes used to manage behaviours in residents who have dementia. Careful monitoring is required, as such use raises concerns about safety and quality of care.\nLower is better. It means that a lower percentage of long-term care residents received antipsychotic medication.","n/a","·      Canadian Institute for Health Information","n/a","n/a","http://indicatorlibrary.cihi.ca/display/HSPIL/Potentially+Inappropriate+Use+of+Antipsychotics+in+Long-Term+Care"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",244,null,"Life Expectancy at Birth",null,"This indicator examines the number of years a person would be expected to live, starting at birth, if the age- and sex-specific mortality rates for a given reference period were held constant over his or her life span. It is calculated by dividing the cumulative number of person-years lived by the number of live births in the initial cohort.","Used worldwide, life expectancy at birth tells us about the general health of a population. It shows the average number of years a Canadian is expected to live at a given point in time.\nHigher is better. A higher life expectancy is considered an indicator of better overall health of the population.","n/a","·      Vital Statistics - Death and Birth Databases, Statistics Canada","n/a","n/a","http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=1114241"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",244,null,"Life Expectancy at Age 65",null,"This indicator examines the number of years a person would be expected to live, starting at age 65, if the age- and sex-specific mortality rates for a given reference period were held constant over his or her life span. It is calculated by dividing the cumulative number of person-years lived by persons age 65 and older by the number of persons age 65 and older in the initial cohort.","Used worldwide, and often in combination with life expectancy at birth, life expectancy at age 65 is a measure of the general health of the older population. This indicator looks at the average number of years a Canadian age 65 is expected to live.\nHigher is better. A higher life expectancy is considered an indicator of better overall health of the population.","n/a","n/a","n/a","n/a","http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=5112007"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",256,null,"Avoidable Deaths","Potentially Avoidable Mortality number of deaths for for every 100,000 people that could potentially have been avoided through better treatment and prevention efforts.","This indicator examines deaths in people younger than 75 from both preventable and treatable causes. Deaths from preventable causes are those that might have been avoided through efforts such as vaccinations, lifestyle changes (such as quitting smoking) or injury prevention. Deaths from treatable causes are those that could potentially have been avoided through effective screening and treatment of disease. It is calculated by dividing the number of deaths from avoidable causes for those age 75 and younger by the mid-year population age 75 and younger.","Avoidable deaths tell us about the effectiveness of health care, health promotion and disease prevention policies in preventing premature deaths. It counts the number of deaths for every 100,000 people that could potentially have been avoided through better treatment and prevention efforts.\nLower is better. It means that fewer Canadians died prematurely from preventable or treatable causes. Differences in avoidable mortality between places and groups can help us see where the health system has made gains and where more work is needed.","n/a","·      Vital Statistics, Statistics Canada","n/a","n/a","http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=1114195"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",257,null,"Avoidable Deaths From Preventable Causes","Deaths from preventable causes are those that might have been avoided through efforts that prevent disease from happening, such as vaccinations, lifestyle changes (such as quitting smoking) or injury prevention.","This indicator examines deaths from preventable causes in people younger than 75. Deaths from preventable causes are those that might have been avoided through efforts that prevent disease from happening, such as vaccinations, lifestyle changes (such as quitting smoking) or injury prevention. It is calculated by dividing the number of deaths from preventable causes for those age 75 and younger by the mid-year population age 75 and younger.","Avoidable deaths tell us about the effectiveness of health care, health promotion and disease prevention policies in preventing premature deaths. Deaths from preventable causes are those that might have been avoided through efforts such as vaccinations, lifestyle changes (such as quitting smoking) or injury prevention.\nLower is better. It means there were fewer deaths from preventable causes.","n/a","·      Vital Statistics, Statistics Canada","n/a","n/a","http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=1114183"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",258,null,"Avoidable Deaths From Treatable Causes","This indicator examines deaths in people younger than 75 that could have been avoided through secondary or tertiary prevention, such as screening for and effective treatment of an existing disease. ","This indicator examines deaths in people younger than 75 that could have been avoided through secondary or tertiary prevention, such as screening for and effective treatment of an existing disease. It is calculated by dividing the number of deaths from treatable causes for those age 75 and younger by the mid-year population age 75 and younger.","Avoidable deaths tell us about the effectiveness of health care, health promotion and disease prevention policies in preventing premature deaths. Deaths from treatable causes are those that could potentially have been avoided through effective screening and treatment of disease.\nLower is better. It means that there were fewer deaths from treatable causes.","n/a","·      Vital Statistics, Statistics Canada","n/a","n/a","http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=1114185"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",272,null,"Perceived Health","This indicator measures the percentage of the population age 12 and older who report their health to be excellent, very good or good. Self-rated health is measured on a scale from excellent to poor. ","Self-rated health is measured on a scale from excellent to poor. This indicator examines the percentage of the population age 12 and older who reported their health to be excellent, very good or good. It is calculated by dividing the number of respondents age 12 and older who rated their health as excellent, very good or good by the total number of survey respondents.","Good-to-excellent self-reported health status correlates with lower risk of mortality and use of health services. This indicator looks at how many Canadians age 12 and older report their health to be excellent, very good or good.\nHigher is better. It means that a higher percentage of people reported good health.","n/a","·      Canadian Community Health Survey, Statistics Canada","n/a","n/a","http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=5112017"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",281,null,"Prevalence of Diabetes",null,"n/a","n/a","n/a","·      Canadian Community Health Survey, Statistics Canada","n/a","n/a","n/a"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",285,null,"Prevalence of High Blood Pressure",null,"n/a","n/a","n/a","·      Canadian Community Health Survey, Statistics Canada","n/a","n/a","n/a"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",287,null,"Prevalence of Chronic Obstructive Pulmonary Disease (COPD)",null,"n/a","n/a","n/a","·      Canadian Community Health Survey, Statistics Canada","n/a","n/a","n/a"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",294,null,"Prevalence of Mood Disorders",null,"n/a","n/a","n/a","·      Canadian Community Health Survey, Statistics Canada","n/a","n/a","n/a"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",299,null,"Smoking","Percentage of Population Who Report Current Smoking","This indicator examines the percentage of the population age 12 and older who reported being current cigarette smokers, on either a daily or occasional basis. It is calculated by dividing the number of people who reported current smoking, either daily or occasionally, by the number of survey respondents.","Smoking is a leading cause of disease and death in Canada. This indicator looks at how many Canadians age 12 and older report they are daily or occasional smokers. Smoking has been declining over time, which shows how well public health promotion efforts and anti-tobacco policies are working.\nLower is better. It means that a lower percentage of people age 12 and older reported that they currently smoked.","n/a","·      Canadian Community Health Survey, Statistics Canada","n/a","n/a","http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=1114245"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",302,null,"Heavy Drinking","Heavy drinking is defined as men who reported consuming 5 or more drinks or women who reported consuming 4 or more drinks on 1 occasion at least once a month in the past year. It is calculated for the population age 12 and older.","Heavy drinking is defined as consuming 5 or more drinks for men or 4 or more drinks for women on 1 occasion, 12 or more times over the past year. This indicator measures the percentage of the population age 12 and older who reported drinking 5 or more drinks for men or 4 or more drinks for women on at least 1 occasion per month in the past year.","Heavy drinking has been associated with harmful health and social consequences. This indicator looks at how many people age 12 and older reported heavy drinking in the last year.\nLower is better. It means that a lower percentage of Canadians reported excessive alcohol consumption.","n/a","·      Canadian Community Health Survey, Statistics Canada","n/a","n/a","http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=5111994"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",305,null,"Obesity (Percentage of Adults Considered Obese, Self-Reported)","Percentage of Adults Considered Obese, Self-Reported","This indicator examines the percentage of adults who are considered to be obese, based on self-reported height and weight. It is calculated by dividing the number of people age 18 and older considered obese by the number of survey respondents.","Obesity has risen substantially in the last 30 years. It is linked to serious health problems, including chronic diseases and cancer. This indicator looks at how many Canadian adults are considered to be obese, meaning they have a body mass index greater than 30, calculated from self-reported height and weight.\nLower is better. It means that a lower percentage of adults were considered obese, based on self-reported height and weight.","n/a","·      Canadian Community Health Survey, Statistics Canada","n/a","n/a","http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=1114243"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",306,null,"Physical Activity During Leisure Time","The percentage and number of persons age 12 and older who report being physically active to moderately active during their leisure time in the Canadian Community Health Survey (CCHS) ","Physical activity is measured based on responses to questions about the frequency, nature and duration of participation in leisure time physical activity in the last 3 months by the population age 12 and older. It reports the percentage and number of persons age 12 and older who reported being physically active to moderately active during their leisure time.","Physical activity has a wide range of health benefits, including a reduced risk of ill health and premature death. This indicator looks at the number of people age 12 and older who report being physically active during their leisure time.\nHigher is better. It means that a higher percentage of persons age 12 and older reported being physically active.","n/a","·      Canadian Community Health Survey, Statistics Canada","n/a","n/a","http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=5112041"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",309,null,"Breastfeeding Initiation","This indicator examines breastfeeding initiation, which refers to mothers who breastfed or tried to breastfeed their last child, even if only for a short time. This is calculated by dividing the number of women age 15 to 55 who had a baby in the last 5 years who initiated breastfeeding their last child by the number of women age 15 to 55 who had a baby in the last 5 years.","This indicator examines breastfeeding initiation, which refers to mothers who breastfed or tried to breastfeed their last child, even if only for a short time. This is calculated by dividing the number of women age 15 to 55 who had a baby in the last 5 years who initiated breastfeeding their last child by the number of women age 15 to 55 who had a baby in the last 5 years.","Breastfeeding initiation can be an important indicator of future child health and development. This indicator looks at how many women who recently had a baby initiated breastfeeding with that child. \nHigher is better. It means that a higher percentage of mothers breastfed or tried to breastfeed their last child, which is a positive indicator of effective preventive health services.","n/a","·      Canadian Community Health Survey, Statistics Canada","n/a","n/a","http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=5111987"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",329,null,"Post-Secondary Educational Attainment",null,"n/a","Structural Factors Influencing Health","n/a","·      Statistics Canada","n/a","n/a","n/a"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",null,null,"Children Vulnerable in Areas of Early Development","The percentage of children who are considered vulnerable on at least 1 area of development at school entry, as measured by the Early Development Instrument (EDI). The EDI is a kindergarten teacher–completed checklist that consists of 104 questions and measures 5 areas of early child development:\n1) Physical health and well-being\n2) Social knowledge and competence\n3) Emotional health/maturity\n4) Language and cognitive development\n5) General knowledge and communication skills ","This indicator is calculated by dividing the number of children who are vulnerable on at least 1 area of development by the total number of children for whom the EDI was completed (indicator reported based on school year, September to June). A child is considered vulnerable when his or her EDI score on an area of development is equal to or lower than the score corresponding to the 10th percentile of all kindergarten children for that area of development. Children who are vulnerable in areas of early development are more likely to face greater challenges learning in school than those who are not vulnerable. The pan-Canadian results may vary slightly from those published by provinces and territories because the population of reference is different. As of August 2013, coverage is not available in Alberta, Nova Scotia, Newfoundland and Labrador and Nunavut.","This indicator is an important determinant of health and well-being in later life. It measures how many children are vulnerable on at least 1 area of development at school entry (age 5). It is based on the Early Development Instrument (EDI) a kindergarten teacher-completed checklist that measures 5 areas of child development, including physical health, emotional well-being, language and social skills.\nA lower percentage of children considered vulnerable at school entry is a positive indicator of healthy development at age 5.","n/a","·      Offord Centre for Child Studies, McMaster University","n/a","n/a","http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=1114239"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",345,null,"Total Population",null,"n/a","Regional Characteristics and Inputs","n/a","·      Statistics Canada","n/a","n/a","n/a"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",345,null,"Rural Area Population",null,"n/a","Regional Characteristics and Inputs","n/a","·      Statistics Canada","n/a","n/a","n/a"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",345,null,"Immigrant Population",null,"n/a","Structural Factors Influencing Health","n/a","·      Statistics Canada","n/a","n/a","n/a"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",345,null,"Aboriginal Population",null,"n/a","Structural Factors Influencing Health","n/a","·      Statistics Canada","n/a","n/a","n/a"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",351,null,"Unemployment Rate",null,"n/a","Structural Factors Influencing Health","n/a","·      Statistics Canada","n/a","n/a","n/a"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",354,null,"Children Living in Low-Income Families",null,"n/a","Structural Factors Influencing Health","n/a","·      Statistics Canada","n/a","n/a","n/a"]
["D","23_CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",354,null,"Household Food Insecurity",null,"n/a","Structural Factors Influencing Health","n/a","·      Canadian Community Health Survey, Statistics Canada","n/a","n/a","n/a"]
["D","24_D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",1,1,"Percent of adults ages 19-64 uninsured",null,"n/a","n/a","n/a","American Community Survey (ACS) Public Use Micro Sample (PUMS)(U.S. Census Bureau, ACS PUMS, 2013, 2014).","n/a","n/a","n/a"]
["D","24_D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",1,2,"Percent of children ages 0-18 uninsured",null,"n/a","n/a","n/a","American Community Survey (ACS) Public Use Micro Sample (PUMS)(U.S. Census Bureau, ACS PUMS, 2013, 2014).","n/a","n/a","n/a"]
["D","24_D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",2,3,"Percent of adults who went without care because of cost in the past year",null,"n/a","n/a","n/a","2013 and 2014 Behavioral Risk Factor Surveillance System (NCCDPHP, BRFSS 2013, 2014).","n/a","n/a","n/a"]
["D","24_D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",6,4,"Percent of individuals under age 65 with high out-of-pocket medical spending relative to their annual income","Out-of-pocket medical expenses equaled 10 percent or more of income, or five percent or more of income\nif low-income (under 200% of Federal Poverty Level), not including health insurance premiums.","n/a","n/a","n/a","C. Solis-Roman, Robert F. Wagner School of Public Service, New York University, analysis of 2014 and 2015 Current Population Survey, Annual Social and Economic Supplement (U.S. Census Bureau, CPS\nASES 2014, 2015).","n/a","n/a","n/a"]
["D","24_D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",3,5,"At-risk adults without a routine doctor visit in past two years","Percent of adults age 50 or older, or in fair or poor health, or ever told they have diabetes or pre-diabetes, acute myocardial infarction, heart disease, stroke, or asthma who did not visit a doctor for a routine checkup in the past two years.","n/a","n/a","n/a"," 2013 and 2014 Behavioral Risk Factor Surveillance System (NCCDPHP, BRFSS 2013, 2014).","n/a","n/a","n/a"]
["D","24_D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",62,6,"Percent of adults without a dental visit in the past year","Percent of adults who did not visit a dentist, or dental clinic within the past year.","n/a","n/a","n/a","2012 and 2014 Behavioral Risk Factor Surveillance System (NCCDPHP, BRFSS 2012, 2014).","n/a","n/a","n/a"]
["D","24_D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",151,7,"Percent of adults with a usual source of care","Percent of adults ages 18 and older who have one (or more) person they think of as their personal healthcare provider.","n/a","n/a","n/a","2013 and 2014 Behavioral Risk Factor Surveillance System (NCCDPHP, BRFSS 2013, 2014).","n/a","n/a","n/a"]
["D","24_D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",101,8,"Percent of adults age 50 and older received recommended screening and preventive care","Percent of adults age 50 and older who have received: sigmoidoscopy or colonoscopy in the last ten years or a fecal occult blood test in the last two years; a mammogram in the last two years (women only); a pap smear in the last three years (women only); and a flu shot in the past year and a pneumonia vaccine ever (age 65 and older only).","n/a","n/a","n/a","2012 and 2014 Behavioral Risk Factor Surveillance System (NCCDPHP, BRFSS 2012, 2014).","n/a","n/a","n/a"]
["D","24_D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",151,9,"Percent of children with a medical home","Percent of children who have a personal doctor or nurse, have a usual source for sick and well care,\nreceive family-centered care, have no problems getting needed referrals, and receive effective care coordination when needed.","n/a","n/a","n/a","2011/12 National Survey of Children’s Health (CAHMI, NSCH 2011/12).","n/a","n/a","n/a"]
["D","24_D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",61,10,"Percent of children with a medical and dental preventive care visit in the past year","Percent of children 0-17 with a preventive medical visit and, if ages 1-17, a preventive dental visit in the past year.","n/a","n/a","n/a","2011/12 National Survey of Children’s Health (CAHMI, NSCH 2011/12).","n/a","n/a","n/a"]
["D","24_D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",20,11,"Percent of children with emotional, behavioral, or developmental problems who received needed mental health care in the past year","Percent of children ages 2-17 who had any kind of emotional, developmental, or behavioral problem that required treatment or counseling and who received treatment from a mental health professional (as defined) during the past 12 months.","n/a","n/a","n/a","2011/12 National Survey of Children’s Health (CAHMI, NSCH 2011/12).","n/a","n/a","n/a"]
["D","24_D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",98,12,"Percent of children ages 19-35 months who received all recommended doses of seven key vaccines","Percent of children ages 19-35 months who received at least 4 doses of diphtheria, tetanus, and accellular pertussis (DTaP/DT/DTP) vaccine; at least 3 doses of poliovirus vaccine; at least 1 dose of measles-containing vaccine (including mumpsrubella(MMR) vaccine); full series of Haemophilus influenza type b (Hib) vaccine (3 or 4 doses depending on product type); at least 3 doses of hepatitis B vaccine (HepB); at least 1 dose of varicella vaccine, and at least 4 doses of pneumococcal conjugate vaccine (PCV).","n/a","n/a","n/a","Data from the 2012 and 2013 NNational Immunization Survey (NIS) Public Use Files and 2014 as published in the August 28, 2015 Morbidity and Mortality Weekly Report, Vol.64 No.33 (NCHS, NIS 2013, 2014). (2012 and 2013 data used for stratification by income and race/ethnicity for equity analysis.)","n/a","n/a","n/a"]
["D","24_D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",186,13,"Percent of Medicare beneficiaries received at least one drug that should be avoided in the elderly","Percent of Medicare beneficiaries age 65 and older received at least one drug from a list of 13 classes of high-risk prescriptions that should be avoided by the elderly.","n/a","n/a","n/a","Y. Zhang and S.H. Baik, University of Pittsburgh, analysis of 2011 and 2012 5% sample of Medicare beneficiaries enrolled in stand-alone Medicare Part D plans.","n/a","n/a","n/a"]
["D","24_D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",null,14,"Percent of Medicare beneficiaries with dementia, hip/pelvic fracture, or chronic renal failure received prescription in an ambulatory care setting that is contraindicated for that condition","Percent of Medicare beneficiaries with dementia, hip/pelvic fracture, or chronic renal failure received prescription in an ambulatory care setting that is contraindicated for that condition","n/a","n/a","n/a","Y. Zhang and S.H. Baik, University of Pittsburgh, analysis of 2011 and 2012 5% sample of Medicare beneficiaries enrolled in stand-alone Medicare Part D plans.","n/a","n/a","n/a"]
["D","24_D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",191,15,"Medicare fee-for-service patients whose health provider always listens, explains, shows respect, and spends enough time with them","Percent of Medicare fee-for-service patients who had a doctor’s office or clinic visit in the last 12 months whose health providers always listened carefully, explained things clearly, respected what they had to say, and spent enough time with them.","n/a","n/a","n/a","Data from National Consumer Assessment of Healthcare Providers and Systems (CAHPS) Benchmarking Database (AHRQ,","n/a","n/a","n/a"]
["D","24_D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",112,16,"Risk-adjusted 30-day mortality among Medicare patients hospitalized for heart attack, heart failure or pneumonia","Riskstandardized, all-cause 30-day mortality rates for Medicare patients age 65 and older hospitalized with a principal diagnosis of heart attack, heart failure or pneumonia between July 2009 and June 2012 and July 2010 and June 2013. All-cause mortality is defined as death from any cause within 30 days after the index admission, regardless of whether the patient dies while still in the hospital or after discharge.","n/a","n/a","n/a","Medicare enrollment and claims data retrieved April 2015 from CMS Hospital Compare (DHHS n.d.)","n/a","n/a","n/a"]
["D","24_D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",190,17,"Percent of hospitalized patients who were given information about what to do during their recovery at home","nA","n/a","n/a","n/a","Hospital Consumer Assessment of Healthcare Providers and Systems Survey data (HCAHPS n.d.) retrieved April 2015 from CMS Hospital Compare (DHHS n.d.)","n/a","n/a","n/a"]
["D","24_D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",190,18,"Percent of patients reported hospital staff always managed pain well, responded when needed help to get to bathroom or pressed call button, and explained medicines and side effects","nA","n/a","n/a","n/a","Hospital Consumer Assessment of Healthcare Providers and Systems Survey data (HCAHPS n.d.) retrieved April 2015 from CMS Hospital Compare (DHHS n.d.).","n/a","n/a","n/a"]
["D","24_D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",118,19,"Home health patients who get better at walking or moving around","Percent of all home health episodes in which a person improved at walking or moving around compared to a prior assessment. Episodes for which the patient, at start or resumption of care, was able to ambulate\nindependently are excluded.","n/a","n/a","n/a","2013 and 2014 Outcome and Assessment Information Set (CMS, OASIS n.d.) as reported in CMS Home Health Compare. Data retrieved April 2014 and April 2015 from CMS Home Health Compare (DHHS n.d.).","n/a","n/a","n/a"]
["D","24_D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",118,20,"Home health patients whose wounds improved or healed after an operation","Percent of all home health episodes in which a person’s surgical wound is more fully healed compared to a prior assessment. Episodes for which the patient, at start or resumption of care, did not have any surgical wounds or had only a surgical wound that was unobservable are excluded.","n/a","n/a","n/a","2013 and 2014 Outcome and Assessment Information Set (CMS, OASIS n.d.) as reported in CMS Home\nHealth Compare. Data retrieved April 2014 and April 2015 from CMS Home Health Compare (DHHS n.d.).","n/a","n/a","n/a"]
["D","24_D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",236,21,"High-risk nursing home residents with pressure sores","Percent of long-stay nursing home residents impaired in bed mobility or transfer, comatose, or malnourished who have pressure sores (Stages 1–4) on target assessment.","n/a","n/a","n/a","2013 and 2014 Minimum Data Set (CMS, MDS n.d.) as reported in CMS Nursing Home Compare, 2013 and\n2014 single quarter quality measure summary files. Data retrieved October 2015 from CMS Nursing Home Compare.","n/a","n/a","n/a"]
["D","24_D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",237,22,"Long-stay nursing home residents with an antipsychotic medication","The percent of long-stay nursing home residents that received an antipsychotic medication, excluding residents with Schizophrenia, Tourette’s syndrome, and Huntington’s disease.","n/a","n/a","n/a","2013 and 2014 Minimum Data Set (CMS, MDS n.d.) as reported in CMS Nursing Home Compare, 2013 and 2014 single quarter quality measure summary files. Data retrieved October 2015 from CMS Nursing Home compare.","n/a","n/a","n/a"]
["D","24_D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",122,23,"Hospital admissions for pediatric asthma, per 100,000 children (ages 2-17)","Excludes patients with cystic fibrosis or anomalies of the respiratory system, and transfers from other institutions.","n/a","n/a","n/a","2011 and 2012 Healthcare Cost and Utilization Project State Inpatient Databases; not all states participate in HCUP. Estimates for total U.S. are from the Nationwide Inpatient Sample (AHRQ, HCUPT-SID 2011, 2012).\nReported in the National Healthcare Quality Report (AHRQ 2011, 2012).","n/a","n/a","n/a"]
["D","24_D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",122,24,"Hospital admissions for ambulatory care-sensitive conditions, per 1,000 beneficiaries: ages 65-74, 75 and older","Hospital admissions of fee-for-service Medicare beneficiaries age 65-74 and 75 and older for one of the following eight ambulatory care–sensitive (ACS) conditions: long-term diabetes complications, lower extremity amputation among patients with diabetes, asthma or chronic obstructive pulmonary disease, hypertension, congestive heart failure, dehydration, bacterial pneumonia, and urinary tract infection.","n/a","n/a","n/a","2007-2013 Chronic Conditions Warehouse (CCW) data, retrieved from the February 2015 CMS Geographic Variation Public Use File (CMS, Office of Information Products and Analytics (OPIDA) 2015).","n/a","n/a","n/a"]
["D","24_D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",125,25,"Medicare 30-day hospital readmissions, rate per 1,000 beneficiaries","All hospital admissions among Medicare beneficiaries age 65 and older that were readmitted within 30 days of an acute hospital stay for any cause. A correction was made to account for likely transfers between hospitals.","n/a","n/a","n/a","2007-2013 Chronic Conditions Warehouse (CCW) data, retrieved from the February 2015 CMS Geographic\nVariation Public Use File (CMS, Office of Information Products and Analytics (OPIDA) 2015).","n/a","n/a","n/a"]
["D","24_D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",126,26,"Percent of short-stay nursing home residents readmitted within 30 days of hospital discharge to the nursing home","Percent of newly admitted nursing home residents (never been in a facility before) who are re-hospitalized within 30 days of being discharged to nursing home.","n/a","n/a","n/a","V.Mor, Brown University, analysis of 2010 and 2012 Medicare enrollment data and Medicare Provider and Analysis Review (CMS, MEDPAR 2010, 2012).","n/a","n/a","n/a"]
["D","24_D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",127,27,"Percent of long-stay nursing home residents hospitalized within a six-month period","Percent of long-stay residents (residing in a nursing home for at least 90 consecutive days) who were ever hospitalized within six months of baseline assessment.","n/a","n/a","n/a","V.Mor, Brown University, analysis of 2010 and 2012 Medicare enrollment data and Medicare Provider and Analysis Review (CMS, MEDPAR 2010, 2012).","n/a","n/a","n/a"]
["D","24_D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",null,28,"Home health patients also enrolled in Medicare with a hospital admission","Percent of acute care hospitalization for home health episodes that occurred in 2013 and 2014.","n/a","n/a","n/a","data from CMS Medicare claims data retrieved April 2014 and April 2015 from CMS Home Health Compare (DHHS n.d.).","n/a","n/a","n/a"]
["D","24_D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",122,29,"Potentially avoidable emergency department visits among Medicare beneficiaries, per 1,000 beneficiaries","Potentially avoidable emergency department visits were those that, based on diagnoses recorded during the visit and the health care service the patient received, were considered to be either non-emergent (care was not needed within 12 hours), or emergent (care needed within 12 hours) but that could have been treated safely and effectively in a primary care setting. This definition excludes any emergency department visit that resulted in an admission, as well as emergency department visits where the level of care provided in the ED was clinically indicated.","n/a","n/a","n/a","J. Zheng, Harvard University, analysis of 2012 and 2013 Medicare Enrollment and Claims Data 20% sample, Chronic Conditions Warehouse (CMS, CCW 2012, 2013), using the New York University Center for Health and Public Service Research emergency department algorithm developed by John Billings.","n/a","n/a","n/a"]
["D","24_D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",94,30,"Total single premium per enrolled employee at private-sector establishments that offer health insurance",null,"n/a","n/a","n/a","Data from Medical Expenditure Panel Survey–Insurance Component (AHRQ, MEPS-IC 2008, 2013, 2014).","n/a","n/a","n/a"]
["D","24_D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",94,31,"Total Medicare (Parts A&B) reimbursements per enrollee","Total Medicare fee-for-service reimbursements include payments for both Part A and Part B but exclude Part D (prescription drug costs) and extra CMS payments for graduate medical education and for treating low-income patients. Reimbursements reflect only the age 65 and older Medicare fee-for-service population.","n/a","n/a","n/a","2007-2013 Chronic Conditions Warehouse (CCW) data, retrieved from the February 2015 CMS Geographic\nVariation Public Use File (CMS, Office of Information Products and Analytics (OPIDA) 2015).","n/a","n/a","n/a"]
["D","24_D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",258,32,"Mortality amenable to health care, deaths per 100,000 population","Number of deaths before age 75 per 100,000 population that resulted from causes considered at least partially treatable or preventable with timely and appropriate medical care (see list), as described in Nolte and McKee (Nolte and McKee, BMJ 2003).","n/a","n/a","n/a","mortality data from CDC restricted-use Multiple Cause-of-Death file and U.S. Census Bureau population data, 2004-2013 (NCHS, MCD n.d.).","n/a","n/a","n/a"]
["D","24_D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",247,33,"Years of potential life lost before age 75","nA","n/a","n/a","n/a","Robert Wood Johnson Foundation analysis of National Vital Statistics System Mortality Data, 2012 and 2013, using the Centers for Disease Control and Prevention (CDC) National Center for Injury Prevention and Control Web-based Injury Statistics Query and Reporting System (WISQARS). Retrieved September 2015 from Robert Wood Johnson Foundation National DataHub. (NVSS 2012 and 2013).","n/a","n/a","n/a"]
["D","24_D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",260,34,"Breast cancer deaths per 100,000 female population","nA","n/a","n/a","n/a","analysis of NVSS–Mortality Data, 2012 and 2013 (NCHS, NVSS n.d.), retrieved using the CDC Wide-ranging OnLine Data for Epidemiologic Research (WONDER) (NVSS 2012 and 2013).","n/a","n/a","n/a"]
["D","24_D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",260,35,"Colorectal cancer deaths per 100,000 population","nA","n/a","n/a","n/a","NVSS–Mortality Data, 2012 and 2013 (NCHS, NVSS n.d.), retrieved using\nthe CDC Wide-ranging OnLine Data for Epidemiologic Research (WONDER)\n(NVSS 2012 and 2013).","n/a","n/a","n/a"]
["D","24_D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",264,36,"Suicide deaths per 100,000 population","nA","n/a","n/a","n/a","NVSS–\nMortality Data 2012 and 2013 (NCHS NVSS), retrieved using the CDC Wideranging\nOnLine Data for Epidemiologic Research (WONDER) (NVSS 2012\nand 2013).","n/a","n/a","n/a"]
["D","24_D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",250,37,"Infant mortality, deaths per 1,000 live births","nA","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","24_D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",272,38,"Percent of adults ages 18–64 report being in fair or poor health, or who have activity limitations because of physical, mental, or emotional problems","nA","n/a","n/a","n/a","2013 and 2014 Behavioral Risk Factor Surveillance System (NCCDPHP, BRFSS 2013, 2014).","n/a","n/a","n/a"]
["D","24_D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",275,38,"Percent of adults ages 18–64 report being in fair or poor health, or who have activity limitations because of physical, mental, or emotional problems","nA","n/a","n/a","n/a","2013 and 2014 Behavioral Risk Factor Surveillance System (NCCDPHP, BRFSS 2013, 2014).","n/a","n/a","n/a"]
["D","24_D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",293,38,"Percent of adults ages 18–64 report being in fair or poor health, or who have activity limitations because of physical, mental, or emotional problems","nA","n/a","n/a","n/a","2013 and 2014 Behavioral Risk Factor Surveillance System (NCCDPHP, BRFSS 2013, 2014).","n/a","n/a","n/a"]
["D","24_D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",299,39,"Percent of adults who smoke","Percent of adults age 18 and older who ever smoked 100+ cigarettes (five packs) and currently smoke every day or some days.","n/a","n/a","n/a","2013 and 2014 Behavioral Risk Factor Surveillance System (NCCDPHP, BRFSS 2013, 2014).","n/a","n/a","n/a"]
["D","24_D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",305,40,"Percent of adults ages 18-64 who are obese (Body Mass Index [BMI] ≥ 30)","nA","n/a","n/a","n/a","2013 and 2014 Behavioral Risk Factor\nSurveillance System (NCCDPHP, BRFSS 2013, 2014).","n/a","n/a","n/a"]
["D","24_D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",305,41,"Children (ages 10–17) who are overweight or obese (Body Mass Index [BMI] ≥ 85th percentile)","Overweight is defined as an age- and gender-specific body mass index (BMI-forage) between the 85th and 94th percentile of the CDC growth charts. Obese is defined as a BMI-for-age at or above the 95th percentile. BMI was calculated based on parent-reported height and weight.","n/a","n/a","n/a","Data from the National Survey of Children’s Health, assembled by the Child and Adolescent Health Measurement Initiative (CAHMI, NCHS 2011/2012).","n/a","n/a","n/a"]
["D","24_D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",274,42,"Percent of adults ages 18–64 who have lost 6 or more teeth due to tooth decay, infection, or gum disease","nA","n/a","n/a","n/a","2012 and 2014 Behavioral Risk Factor Surveillance System (NCCDPHP, BRFSS 2012, 2014).","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",2,null,"Did not fill a prescription; skipped recommended medical test, treatment, or follow-up; or had a medical problem but did not visit doctor or clinic in the past year because of cost",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",2,null,"Had medical problem but did not visit doctor because of cost in the past year (by two income categories)","by two income categories: those who reported their incomes as above the country median and those who reported their incomes as below the country median. ","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",2,null,"Did not get recommended test, treatment, or follow-up because of cost in the past year (by two income categories)","by two income categories: those who reported their incomes as above the country median and those who reported their incomes as below the country median. ","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",2,null,"Did not fill prescription or skipped doses because of cost in the past year (by two income categories)","by two income categories: those who reported their incomes as above the country median and those who reported their incomes as below the country median. ","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",2,null,"Doctors report time spent getting patients needed medications or treatment because of coverage restrictions is a major problem",null,"n/a","Efficiency","n/a","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",2,null,"Has chronic condition and did not receive recommended test, treatment, or follow-up care because of cost",null,"n/a","Effective Care: Chronic Care","percent","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",6,null,"Out-of-pocket expenses for medical bills more than $1,000 in the past year, US$ equivalent",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",6,null,"Patient had serious problems paying or was unable to pay medical bills",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",6,null,"Physicians think their patients often have difficulty paying for medications or out-of-pocket costs",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",6,null,"Patient's insurance denied payment for medical care or did not pay as much as expected",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",17,null,"Waiting time for emergency care was 2 hours or more (base: used an emergency room in past 2 years)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",17,null,"Waited 2 hours or more in ER (base: those going to ER) (by two income categories)","by two income categories: those who reported their incomes as above the country median and those who reported their incomes as below the country median. ","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",18,null,"Last time needed medical attention, was able to see doctor or nurse the same or next day",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",18,null,"Last time needed medical attention was able to see doctor or nurse the same or next day (by two income categories)","by two income categories: those who reported their incomes as above the country median and those who reported their incomes as below the country median. ","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",18,null,"Very or somewhat difficult to get medical care in the evening, weekend, or on a holiday without going to the emergency room (base: sought after-hours care)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",18,null,"Somewhat or very difficult to get care in the evenings, on weekends, or holidays (base: sought after-hours care) (by two income categories)","by two income categories: those who reported their incomes as above the country median and those who reported their incomes as below the country median. ","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",18,null,"Patients reporting always or often getting telephone answer from doctor the same day (base: have a regular doctor and tried to contact by phone)",null,"n/a","Patient-centered Care: Communication","percent","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",20,null,"Waiting time to see a specialist was 2 months or more (base: saw or needed to see a specialist in past 2 years)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",20,null,"Waited 2 months or longer for specialist appointment (base: needed to see specialist in past 2 years) (by two income categories)","by two income categories: those who reported their incomes as above the country median and those who reported their incomes as below the country median. ","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",20,null,"Doctors report patients often experience long wait times to receive treatment after diagnosis",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",21,null,"Doctors report patients often experience difficulty getting specialized tests (e.g., CT, MRI)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",22,null,"Waiting time of 4 months or more for elective/nonemergency surgery (base: those needing elective surgery in past year)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",24,null,"Medical records/test results did not reach doctor’s office in time for appointment, in past 2 years",null,"n/a","Efficiency","n/a","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",74,null,"Doctors report time spent on administrative issues related to insurance or claims is a major problem",null,"n/a","Efficiency","n/a","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",75,null,"Total expenditures on health as a percent of GDP",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",88,null,"Percentage of national health expenditures spent on health administration and insurance",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",108,null,"Doctor or other clinical staff talked with patient about a healthy diet and healthy eating",null,"n/a","Effective Care: Prevention","percent","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",108,null,"Doctor or other clinical staff talked about exercise or physical activity",null,"n/a","Effective Care: Prevention","percent","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",108,null,"Doctor or other clinical staff talked with patient about health risks and ways to quit (base: smokers)",null,"n/a","Effective Care: Prevention","percent","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",109,null,"Patients with hypertension who have had cholesterol checked in past year",null,"n/a","Effective Care: Chronic Care","percent","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",122,null,"Visited ED for a condition that could have been treated by a regular doctor, had he/she been available (base: visited ED in past 2 years)",null,"n/a","Efficiency","n/a","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",125,null,"Hospitalized patients went to ER or rehospitalized for complication after discharge",null,"n/a","Efficiency","n/a","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",148,null,"Patients with diabetes receiving all four recommended services","Recommended services include hemoglobin A1c checked in past six months, and feet examined, eyes examined, and cholesterol checked in past year","n/a","Effective Care: Chronic Care","percent","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",151,null,"Have a regular doctor or place",null,"n/a","Coordinated Care","percent","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",154,null,"Practice can electronically exchange patient clinical summaries and laboratory and diagnostic tests with doctors outside practice",null,"n/a","Efficiency","n/a","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",155,null,"Regular doctor or place always or often helps coordinate and arrange care from other doctors or places",null,"n/a","Coordinated Care","percent","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",156,null,"Specialist did not have information about medical history",null,"n/a","Coordinated Care","percent","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",157,null,"When primary care physicians refer a patient to a specialist, they always or often receive a report back with all relevant health information",null,"n/a","Coordinated Care","percent","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",158,null,"When primary care physicians refer a patient to a specialist, they always or often receive information about changes to a patients medication or care plan",null,"n/a","Coordinated Care","percent","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",159,null,"When primary care physicians refer a patient to a specialist, they always or often receive information that is timely and available when needed",null,"n/a","Coordinated Care","percent","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",160,null,"Doctor receives alert or prompt to provide patients with test results",null,"n/a","Coordinated Care","percent","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",161,null,"Know whom to contact for questions about condition or treatment (base: those hospitalized or having surgery within past 2 years)",null,"n/a","Coordinated Care","percent","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",162,null,"Receive written plan for care after discharge (base: those hospitalized or having surgery within past 2 years)",null,"n/a","Coordinated Care","percent","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",163,null,"Hospital made arrangements for follow-up visits with a doctor or other health care professional when leaving the hospital (base: those hospitalized or having surgery within past 2 years)",null,"n/a","Coordinated Care","percent","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",164,null,"Primary care physician always or often receives notification that patient has been seen in emergency room",null,"n/a","Coordinated Care","percent","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",165,null,"Primary care physician always or often receives notification that patient is being discharged from hospital",null,"n/a","Coordinated Care","percent","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",166,null,"Primary care physicians receive the information needed to manage a patient's care within 2 days after they were discharged from the hospital",null,"n/a","Coordinated Care","percent","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",166,null,"Patient experienced delays in being notified about abnormal test results in past 2 years (base: had a lab test ordered)",null,"n/a","Safe Care","percent","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",176,null,"Patient believed a medical mistake was made in treatment or care in past 2 years",null,"n/a","Safe Care","percent","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",180,null,"Hospitalized patients reporting infection in hospital or shortly after",null,"n/a","Safe Care","percent","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",184,null,"Patient given incorrect results for a diagnostic or lab test in past 2 years (base: had a lab test ordered)",null,"n/a","Safe Care","percent","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",184,null,"Patient given wrong medication or wrong dose at a pharmacy or while hospitalized in past 2 years",null,"n/a","Safe Care","percent","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",185,null,"Unnecessary duplication of medical tests in past 2 years (by two income categories)","by two income categories: those who reported their incomes as above the country median and those who reported their incomes as below the country median. ","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",185,null,"Sent for duplicate tests in past 2 years",null,"n/a","Efficiency","n/a","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",188,null,"Doctor routinely receives a computerized alert or prompt about a potential problem with drug dose or interaction",null,"n/a","Safe Care","percent","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",189,null,"Doctor routinely recieves reminders for guideline-based interventions and/or tests",null,"n/a","Safe Care","percent","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",190,null,"Received clear instructions about symptoms to watch for and when to seek further care after surgery or when leaving the hospital (base: those who had surgery or been hospitalized)",null,"n/a","Patient-centered Care: Communication","percent","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",192,null,"Doctor or health care professional gives clear instructions about symptoms, when to seek further care (base: has chronic condition)",null,"n/a","Patient-centered Care: Engagement and Patient Preferences","percent","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",192,null,"Doctor always or often explains things in a way that is easy to understand",null,"n/a","Patient-centered Care: Communication","percent","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",193,null,"Doctor or health care professional discussed patient's main goals or priorities in caring for condition (base: has chronic condition)",null,"n/a","Patient-centered Care: Engagement and Patient Preferences","percent","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",194,null,"Regular doctor always or often encouraged you to ask questions",null,"n/a","Patient-centered Care: Engagement and Patient Preferences","percent","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",195,null,"Specialist always or often involves patient as much as they want in decisions about care and treatment (base: saw or needed to see specialist in past 2 years)",null,"n/a","Patient-centered Care: Engagement and Patient Preferences","percent","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",195,null,"Specialist always or often tells you about treatment choices (base: saw or needed to see specialist in past 2 years)",null,"n/a","Patient-centered Care: Engagement and Patient Preferences","percent","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",196,null,"Patient spent a lot of time on paperwork or disputes related to medical bills",null,"n/a","Efficiency","n/a","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",197,null,"Rated doctor fair/poor (by two income categories)","by two income categories: those who reported their incomes as above the country median and those who reported their incomes as below the country median. ","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",197,null,"Rated quality of care fair/poor (by two income categories)","by two income categories: those who reported their incomes as above the country median and those who reported their incomes as below the country median. ","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",198,null,"Primary care practices that routinely provide written instructions to patients with chronic diseases",null,"n/a","Effective Care: Chronic Care","percent","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",null,null,"Physicians reporting it is easy to print out a list of patients by diagnosis",null,"n/a","Effective Care: Chronic Care","percent","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",null,null,"Physicians reporting it is easy to print out a list of all medications taken by individual patients, including those prescribed by other doctors",null,"n/a","Effective Care: Chronic Care","percent","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",null,null,"Physicians reporting it is easy to print out a list of patients who are due or overdue for tests or preventive care",null,"n/a","Effective Care: Prevention","percent","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",200,null,"Pharmacist or doctor did not review and discuss all medications patient uses in the past year (base: taking 2 or more prescriptions regularly)",null,"n/a","Effective Care: Chronic Care","percent","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",201,null,"Patients receive reminders for preventive care",null,"n/a","Effective Care: Prevention","percent","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",null,null,"Patients routinely sent computerized reminder notices for preventive or follow-up care",null,"n/a","Effective Care: Prevention","percent","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",204,null,"With same doctor 5 years or more",null,"n/a","Patient-centered Care: Continuity and Feedback","percent","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",205,null,"Doctor routinely receives and reviews data on patient satisfaction and experiences with care",null,"n/a","Patient-centered Care: Continuity and Feedback","percent","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",206,null,"Regular doctor always or often knows important information about patient's medical history",null,"n/a","Patient-centered Care: Continuity and Feedback","percent","n/a","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",246,null,"Healthy life expectancy at age 60 (average of women and men)","nA","n/a","n/a","n/a","WHO Global Health Observatory Data Repository","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",250,null,"Infant mortality (deaths per 1,000 live births)","nA","n/a","n/a","n/a","OECD, OECD Health Data, 2013","n/a","n/a","n/a"]
["D","24_K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",258,null,"Mortality amenable to health care (deaths per 100,000)","nA","n/a","n/a","n/a","2006–07 World Health Organization (WHO) mortality data; Canada data from 2002–03.","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",207,"1.1.","Healthcare law based on Patients' Rights","Is national HC legislation explicitly expressed in terms of Patients' rights?","n/a","n/a","n/a","European Observatory HiT Reports, http://europatientrights.eu/about_us.html; Patients' Rights Law (Annex 1 to EHCI report); http://www.healthline.com/galecontent/patient-rights-1; http://www.adviceguide.org.uk/index/family_parent/health/nhs_patients_rights.htm; www.dohc.ie; http://www.sst.dk/Tilsyn/Individuelt_tilsyn/Tilsyn_med_faglighed/Skaerpet_tilsyn_med_videre/Skaerpet_tilsyn/Liste.aspx; http://db2.doyma.es/pdf/261/261v1n2a13048764pdf001.pdf. http://www.bmg.bund.de/praevention/patientenrechte/patientenrechtegesetz.html","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",72,"1.10.","EPR penetration","% of GP practices using electronic patient records for diagnostic data","n/a","n/a","n/a","http://ec.europa.eu/public_opinion/flash/fl126_fr.pdf ; http://www.europartnersearch.net/ist/communities/indexmapconso.php?Se=11 ; www.icgp.ie ; Commonwealth Fund International Health Policy Survey of Primary Care Physicians\"Benchmarking ICT use among GP:s in Europe\"; European Commission, April 2008; study made by Empirica, Bonn, Germany (p.60), Gartner Group","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",213,"1.10.","On-line booking of appointments?","Can patients book doctor appointments on-line?","n/a","n/a","n/a","Survey commissioned by HCP from Patient View 2015. Interviews with healthcare officials.","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",73,"1.11.","e-prescriptions","nA","n/a","n/a","n/a","Survey commissioned by HCP from Patient View 2015. Interviews with healthcare officials.","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",208,"1.2.","Patient organisation involvement","nA","n/a","n/a","n/a","Patients' Perspectives of Healthcare Systems in Europe; survey commissioned by HCP 2015. Personal interviews.","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",209,"1.3.","No-fault malpractice insurance","Can patients get compensation without the assistance of the judicial system in proving that medical staff made mistakes?","n/a","n/a","n/a","Swedish National Patient Insurance Co. (All Nordic countries have no1fault insurance); www.hse.ie; www.hiqa.ie.","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",210,"1.4.","Right to second opinion","nA","n/a","n/a","n/a","Patients' Perspectives of Healthcare Systems in Europe; survey commissioned by HCP 2015. Personal interviews.","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",214,"1.5.","Access to own medical record","Can patients read their own medical records?","n/a","n/a","n/a","Patients' Perspectives of Healthcare Systems in Europe; survey commissioned by HCP 2015. Personal interviews; www.dohc.ie .","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",211,"1.6.","Registry of bona fide doctors","Can the public readily access the info: \"Is doctor X a bona fide specialist?\"","n/a","n/a","n/a","Survey commissioned from Patient View by HCP 2015. National physician registries.; http://www.sst.dk/Tilsyn/Individuelt_tilsyn/Tilsyn_med_faglighed/Skaerpet_tilsyn_med_videre/Skaerpet_tilsyn/Liste.aspx; ","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",215,"1.7.","Web or 24/7 telephone HC information with interactivity","Information which can help a patient take decisions of the nature: “After consulting the service, I will take a paracetamol and wait and see” or “I will hurry to the A&E department of the nearest hospital”","n/a","n/a","n/a","Patients' Perspectives of Healthcare Systems in Europe; survey commissioned by HCP 2015. Personal interviews; http://www.nhsdirect.nhs.uk/ ; www.hse.ie ; www.ntpf.ie .","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",15,"1.8.","Cross-border care seeking freely allowed","Awareness of right to seek care in another EU state; at least 2 correct answers.","n/a","n/a","n/a","Special Eurobarometer 425, May 2015, report p. 35","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",212,"1.9.","Provider catalogue with quality ranking","“NHS Choices” in the U.K. a typical qualification for a Green score.","n/a","n/a","n/a","Patients' Perspectives of Healthcare Systems in Europe; survey commissioned by HCP 2015. http://www.sundhedskvalitet.dk /; http://www.sykehusvalg.no/sidemaler/VisStatiskInformasjon____2109.aspx ; http://www.hiqa.ie ; http://212.80.128.9/gestion/ges161000com.html .","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",18,"2.1.","Family doctor same day access","Can I count on seeing my primary care doctor today?","n/a","n/a","n/a","Survey commissioned from Patient View by HCP 2015. National healthcare agencies.","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",20,"2.2.","Direct access to specialist","Without referral from family doctor (GP)","n/a","n/a","n/a","Survey commissioned by HCP from Patient View 2015. Interviews with healthcare officials, feedback from national agencies.","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",22,"2.3.","Major elective surgery <90 days","Coronary bypass/PTCA and hip/knee joint","n/a","n/a","n/a","Survey commissioned by HCP from Patient View 2015. Interviews with healthcare officials, feedback from national agencies.","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",20,"2.4.","Cancer therapy < 21 days","Time to get radiation/ chemotherapy after decision","n/a","n/a","n/a","Survey commissioned by HCP from Patient View 2015. Interviews with healthcare officials, feedback from national agencies. www.socialstyrelsen.se : Väntetider cancervård","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",21,"2.5.","CT scan < 7days","Wait for advanced diagnostic (non-acute)","n/a","n/a","n/a","Survey commissioned by HCP from Patient View 2015. Interviews with healthcare officials, feedback from national agencies. www.socialstyrelsen.se : Väntetider cancervård","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",17,"2.6.","A&E waiting times","“Waiting time”: the period between arrival at the hospital door and when a doctor starts treating/attending the problem.","n/a","n/a","n/a","Survey commissioned by HCP from Patient View 2015. Interviews with healthcare officials, feedback from national agencies. www.socialstyrelsen.se : Väntetider cancervård","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",260,"3.1.","Decrease of CVD deaths","Inclination of ischaemic heart disease death trend line (log values)","n/a","n/a","n/a","Survey commissioned by HCP from Patient View 2015. Interviews with healthcare officials, feedback from national agencies. www.socialstyrelsen.se : Väntetider cancervård","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",260,"3.2.","Decrease of stroke deaths","Inclination of stroke death trend line (log values)","n/a","n/a","n/a","Survey commissioned by HCP from Patient View 2015. Interviews with healthcare officials, feedback from national agencies. www.socialstyrelsen.se : Väntetider cancervård","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",250,"3.3.","Infant deaths","per 1000 live births","n/a","n/a","n/a","Survey commissioned by HCP from Patient View 2015. Interviews with healthcare officials, feedback from national agencies. www.socialstyrelsen.se : Väntetider cancervård","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",116,"3.4.","Cancer survival","1 minus ratio of mortality/incidence 2012 (\"survival rate\")","n/a","n/a","n/a","Survey commissioned by HCP from Patient View 2015. Interviews with healthcare officials, feedback from national agencies. www.socialstyrelsen.se : Väntetider cancervård","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",247,"3.5.","Potential Years of Life Lost","All causes, Years lost, /100000 population","n/a","n/a","n/a","WHO Europe Detailed Mortality Database, November 2014","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",180,"3.6.","MRSA infections","Susceptibility results for S. aureus isolates, %","n/a","n/a","n/a","http://ecdc.europa.eu/en/healthtopics/antimicrobial_resistance/database/Pages/table_reports.aspx; (data 2013)","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",71,"3.7.","Abortion rates","# per 1000 live births; low = Good, Very low=purple","n/a","n/a","n/a","WHO Health for All Database Sept 2015, United Nations Information on Abortion","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",295,"3.8.","Depression","Average score on 5 mental health questions","n/a","n/a","n/a","Special Eurobarometer 345, October 2011; www.fhi.no \"Psykisk helse i Norge 2011:2\", http://worlddatabaseofhappiness.eur.nl/hap_nat/nat_fp.php?mode=8","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",78,"4.1.","Equity of healthcare systems","Public HC spend as % of total HC spend","n/a","n/a","n/a","WHO HfA database, September 2015","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",67,"4.2.","Cataract operations per 100 000 age 65+","Total number of procedures divided by 100 000's of pop. ≥ 65 years","n/a","n/a","n/a","OECD Health Data 2014, WHO HfA database, WHO Prevention of Blindness and Visual Impairment Programme, European Community Health Indicators, national data","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",68,"4.3.","Kidney transplants per million pop.","Living and deceased donors, procedures p.m.p.","n/a","n/a","n/a","Council of Europe Newsletter September 2015","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",2,"4.4.","Dental care included in public healthcare? % of average income earners stating unmet need for a dental examination, 2010","% of average income earners stating unmet need for a dental examination, 2010","n/a","n/a","n/a","OECD Health at a Glance 2015, Eurostat: http://dx.doi.org/10.1787/888933281066","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",11,"4.5.","Informal payments to doctors","Mean response to question: \"Would patients be expected to make unofficial payments?\"","n/a","n/a","n/a","Survey commissioned from Patient View by HCP 2014. National healthcare agencies.","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",47,"4.6.","Long term care for the elderly: # of nursing home and elderly care beds per 100 000 population 65+","# of nursing home and elderly care beds per 100 000 population 65+","n/a","n/a","n/a","WHO HfA database, September 2015","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",30,"4.7.","% of dialysis done outside of clinic","% of all Dialysis patients on PD or HD in the home","n/a","n/a","n/a","European Renal Association Annual Report 2013, www.ceapir.org","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",69,"4.8.","Caesarean sections","# per 1000 live births; low = Good pre-natal care","n/a","n/a","n/a","WHO Health for All Database September 2015","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",98,"5.1.","Infant 8-disease vaccination","Tetanus, pertussis, poliomyelitis, haemophilus, influenza B, hepatitis B, measles,mumps, rubella arithmethic mean","n/a","n/a","n/a","WHO HfA database, Sept 2015, http://data.euro.who.int/cisid/?TabID=352277","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",285,"5.2.","Blood pressure","% of people 25+ with a blood pressure > 140/90","n/a","n/a","n/a","WHO World Health Statistics 2015","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",311,"5.3.","Cigarette sales per capita age 15+","Cigarette sales per capita age 15+ (2014)","n/a","n/a","n/a","www.ceccm.eu, WHO HfA database Sept 2015","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",302,"5.4.","Alcohol: \"Binge drinking adjusted\" alcohol intake p.p. 15+","\"Binge drinking adjusted\" alcohol intake p.p. 15+","n/a","n/a","n/a","WHO HfA Sept 2015, Special Eurobarometer 331 April 2010","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",314,"5.5.","Physical activity: Hours of physical education in compulsory school","Hours of physical education in compulsory schoo","n/a","n/a","n/a","http://eacea.ec.europa.eu/education/eurydice/documents/facts_and_figures/181EN.pdf; www.vsa.zh.ch","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",99,"5.6.","HPV vaccination","National programme for teenage girls","n/a","n/a","n/a","European Centre for Disease Prevention and Control. Introduction of HPV vaccines in EU countries – an update. Stockholm: ECDC; 2012. Seme et al.: Acta Dermatovenerologica APA 2013; 22:21-25. www.bag.admin.ch/themen/medizin/00682/00684/03853/","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",262,"5.7.","Traffic deaths","SDR/ 100 000 population","n/a","n/a","n/a","WHO HfA Sept 2015","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",86,"6.1.","Rx subsidy: Proportion of total sales of pharmaceuticals paid for by public subsidy","Proportion of total sales of pharmaceuticals paid for by public subsidy","n/a","n/a","n/a","WHO HfA database September 2015, EFPIA: The pharmaceutical industry in figures - Key Data 2015","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",222,"6.2.","Access to new drugs (time to subsidy)","Between registration and inclusion in subsidy system","n/a","n/a","n/a","Patients W.A.I.T. Indicator 2011 and 2012 Reports – based on EFPIA’s databases","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",223,"6.2.","Availabiliity of layman-adapted pharmacopoeia","Indicator name: Layman-adapted pharmacopoeia? \nIs there a layman-adapted pharmacopeia readily accessible by the public (www or widely avaliable)?","n/a","n/a","n/a","Survey commissioned from Patient View by HCP 2013. HCP research 2010-2013. National Medical Products Agencies.","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",224,"6.3.","Novel cancer drugs deployment rate","ATC code L01XC (monoclonal antibodies) Use per capita, MUSD p.m.p.","n/a","n/a","n/a","IMS MIDAS database, 12 months ending June 2013, www.nuffieldtrust.org.uk/data-and-charts/prescribing-spend-person-uk","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",145,"6.5.","Arthritis drugs: TNF-α inhibitors, Standard Units per capita, prevalence adjusted","TNF-α inhibitors, Standard Units per capita, prevalence adjusted","n/a","n/a","n/a","IMS MIDAS database, eumusc.net: Report v5.0 Musculoskeletal Health in Europe (2012), Special Eurobarometer 272 (2007)","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",145,"6.5.","Metformin use","Metformin use; SU per diabetic case","n/a","n/a","n/a","IMS MIDAS database, full year 2013","n/a","n/a","n/a"]
["D","25_Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",145,"6.7.","Antibiotics/capita","ATC code J01, DDD/1000 inhabitants per day","n/a","n/a","n/a","ECDC: Consumption of antibiotics by antibiotic group in 30 EU/EEA countries, 2014, IMS MIDAS database, 12 months ending June 2013","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",2,"nA","Care access: Unmet care need",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",6,"nA","Personal spending burden: Health care-related bankruptcies","This measure, which captures the downstream effect of spending that exceeds individuals’ ability to pay, may provide additional information for certain stakeholder groups","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",6,"nA","Personal spending burden: High spending relative to income","Income devoted to health care","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",20,"nA","Care access: Delay of needed care",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",null,"nA","Population spending burden: Health care spending growth",null,"n/a","Share of GDP devoted to health care provides useful information about relative performance on the overall magnitude of health care spending. ","n/a","n/a","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",null,"nA","Population spending burden: Total cost of care",null,"n/a","total cost of care provides actionable information about the state of spending at a health care institution, as well as potential areas of waste or misallocation of resources","n/a","n/a","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",75,"nA","Population spending burden: Per capita expenditures on health care",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",98,"nA","Preventive services: Childhood immunization rate",null,"n/a","Proxy for preventive services because it represents a particularly stable and long-lasting component of prevention and covers a broad non-disease-specific population. Immunizations have been shown to be among the most powerful preventive services in terms of their impact on both disease burden and costs. ","n/a","CDC","gender, race, ethnicity, SES","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",100,"nA","Preventive services: Influenza immunizations",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",101,"nA","Preventive services: Breast cancer screening",null,"n/a","associated with the highest rates of mortality","n/a","CDC","age, gender, race, ethnicity, SES","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",101,"nA","Preventive services: Colorectal cancer screening",null,"n/a","associated with the highest rates of mortality","n/a","CDC","age, gender, race, ethnicity, SES","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",103,"nA","Unintended pregnancy: Contraceptive use",null,"n/a","The related priority measure of contraceptive use considers unintended pregnancy at any age, and could be useful for stakeholder groups that work with older populations or with a broader focus on women’s health and health care.","n/a","n/a","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",122,"nA","Evidence-based care: Preventable hospitalization rate",null,"n/a","It encompasses the broades range of potential causes and conditions and also reflects such key health system performance issues as communication with patients, availability of ambulatory resources, care coordination, and social services. It is a relevant measure that captures accountability for a broad range of stakeholder groups. ","n/a","n/a","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",148,"nA","Evidence-based care: Cardiovascular risk reduction, hypertension control, heart attack therapy protocol, stroke therapy protocol, unnecessary care composite","These three measures deal with major chronic diseases and the extent to which they are managed by both clinicians and patients, and their selection reflects the significant and growing impact of these behavior-linked diseases on both the health of Americans and the cost of American health care.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",148,"nA","Evidence-based care: Cardiovascular risk reduction","These three measures deal with major chronic diseases and the extent to which they are managed by both clinicians and patients, and their selection reflects the significant and growing impact of these behavior-linked diseases on both the health of Americans and the cost of American health care.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",148,"nA","Evidence-based care: Hypertension control","These three measures deal with major chronic diseases and the extent to which they are managed by both clinicians and patients, and their selection reflects the significant and growing impact of these behavior-linked diseases on both the health of Americans and the cost of American health care.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",148,"nA","Evidence-based care: Heart attack therapy protocol ","These three measures deal with major chronic diseases and the extent to which they are managed by both clinicians and patients, and their selection reflects the significant and growing impact of these behavior-linked diseases on both the health of Americans and the cost of American health care.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",148,"nA","Evidence-based care: Stroke therapy protocol",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",148,"nA","Evidence-based care: Diabetes control composite",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",151,"nA","Care access: Usual source of care",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",178,"nA","Patient safety: Wrong-site surgery",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",180,"nA","Patient safety: Hospital-acquired infection rate",null,"n/a","Infections acquired in care settings are estimated to have an economic cost in the billions and to contribute to tens of thousands of lives lost each year. ","n/a","CDC","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",182,"nA","Patient safety: pressure ulcers",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",184,"nA","Patient safety: Medication reconsiliation",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",185,"nA","Evidence-based care: Unnecessary care composite","Unnecessary care targets the overuse of certain ser- vices or care resources, driven in part by fee-for-service models of care that emphasize volume of services and reflected, for example, in the Choosing Wisely services unsupported by evidence.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",null,"nA","Care match with patient goals: Patient experience",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",195,"nA","Care match with patient goals: Shared decision making","Although additional research and measure development are needed in this area, patient and clinician participation in shared decision making increases the likelihood that care will align with patient goals and thus, at present, constitutes a reasonable measure of the attainment of this objective. ","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",195,"nA","Care match with patient goals: End-of-life/advanced care planning","End-of-life care represents a critical area in need of significant development in terms of both care and its measurement, and one in which patient and family views and perspectives play a critical role.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",197,"nA","Care match with patient goals: Patient-clinician communication satisfaction",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",244,"nA","Life expectancy at birth",null,"n/a","Life expectancy is a validated, readily available, and easily comprehensible indicator for a critical health concept - length of life - based on the simple logic that healthier people tend to live longer. Because life expectancy depends on a full range of individual and community influences on health - from cancer to homocide - it provides an inclusive, high-level indicator for health, broadly defined. ","n/a","CDC","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",250,"nA","Life expectancy: Infant mortality",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",255,"nA","Life expectancy: Maternal mortality",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",262,"nA","Life expectancy: Violence and injury mortality",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",264,"nA","Life expectancy: Violence and injury mortality",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",265,"nA","Addictive behavior: Addiction death rate",null,"n/a","Addiction and addictive behavior represent a significant and complex challenge for the health system, as well as for communities and families. Today, tobacco use is considered the leading cause of preventable morbidity and mortality in the US. ","n/a","CDC Vital Statistics System","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",272,"nA","Well-being: Self-reported health",null,"n/a","It is a uniquely broad and accessible measure that encompasses such factors as mental health, disability, and reproductive health, among others, in a simple manner that needs no explanation. Self-reported health status has been shown to be an independent predictor of life expectancy and a reliable measure for health and wellness. It also has been shown to be a useful predictor for expenditures. ","n/a","CDC (NHIS)","gender, race, ethnicity","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",279,"nA","Well-being: Multiple chronic conditions",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",286,"nA","Healthy communities: Childhood asthma",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",294,"nA","Well-being: Depression",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",298,"nA","Individual engagement: Health literacy rate",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",299,"nA","Addictive behavior: Tobacco use",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",301,"nA","Addictive behavior: Alcohol dependence/misuse",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",303,"nA","Addictive behavior: Drug dependence/illicit use",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",304,"nA","Overweight and obesity: Healthy eating patterns",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",304,"nA","Community engagement: Availibility of healthy food",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",305,"nA","Overweight and obesity: Body mass index (BMI)",null,"n/a","Obesity accounty for a significantly high amount of annual medical costs and is associated with numerous health conditions, including hypertension, coronary heart disease, type 2 diabetes, and stroke. Because of the ease of measurement and high standardization, BMI is the  most common method for assessing obesity and screening for associated health risks --> serves as a reliable indicator of overweight and obesity. ","n/a","CDC (NHANES)","age, gender, race, ethnicity","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",306,"nA","Overweight and obesity: Activity levels",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",null,"nA","Individual engagement: Involvement in health initiatives","To be defined (involvement in personal, family, and community health as a related priority measure. This measure encompasses additional facets of engagement, such as whether people are actively working to improve their health, the extent to which they are aware of and engaged in improving the health of their families, and their roles in community health.)","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",314,"nA","Community engagement: Community health benefit agenda","To be defined (Significant research and development are needed to articulate this core measure focus more fully, both conceptually and in terms of data and measures. A preferred measure for this focus might take the form of a composite, reflecting community engagement more broadly and integrating elements related to community level of effort in improving health—the existence of community-wide agendas, the use of community benefit funds, opportunities for public input, and growth in resources developed. A composite measure of community engagement might include the following elements: communities with active health agen- das, including cooperative multi-institutional plans for meeting community benefit obligations, and communities that advocate for local health improvement.)","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",317,"nA","Community engagement: Walkability",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",321,"nA","Healthy communities: Air quality index",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",326,"nA","Healthy communities: Drinking water quality index",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",329,"nA","Healthy communities: High school graduation rate",null,"n/a","It is a useful, accessible proxy for assessing socioeconomic status and community quality in the short term. ","n/a","CDC","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",342,"nA","Community engagement: Social support","The extent to which people report having the social and emotional support they need.","n/a","Provides an indication of the degree of support people feel they have in certain aspects of their health, as well as the extent to which people are actively working toward improved health. ","n/a","n/a","n/a","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",348,"nA","Unintended pregnancy: Teen pregnancy rate",null,"n/a","It is a measure that aggregates a variety of social, behavioral, cultural, and health factors, particularly the availability and use of both knowledge and tools for family planning. ","n/a","CDC Vital Statistics System","race, ethnicity","n/a","n/a"]
["D","26_IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",354,"nA","Healthy communities: Childhood poverty rate",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",122,1,"Ambulatory sensitive hospitalisation (ASH) rates per 100,000 for 0–4 year olds","nA","n/a","‘Keeping children out of the hospital’. ASH highlights the burden of disease in childhood with a strong emphasis on health equity. There is high variance among priority populations and according to social gradient.\nReducing ASH rates requires well integrated, preventive, diagnostic management systems and a well-skilled and resourced workforce.","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",56,2,"Acute hospital bed days per capita","A measure of acute demand on secondary care that is amenable to good upstream primary care, discharge planning and transition requiring good communication between primary and secondary care.","n/a","‘Using health resources effectively’ ","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",197,3,"Patient experience of care","How people experience health care is a key element of system performance that can be influenced by all parts of the system and the people who provide the care. Integration has not happened until people experience it.","n/a","‘Person centred care’","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",258,4,"Amenable mortality","Deaths under age 75 years (‘premature’ deaths) from causes classified as amenable to health care (currently a list of 35 causes).","n/a","‘Prevention and early detection’","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",null,5,"Number of babies who live in a smoke-free household at 6 weeks post natal","A reduction in prevalence of smoking in pregnancy is a priority. This measure will focus attention beyond just maternal smoking to the home and family/whānau environment and will encourage an integrated approach between maternity and primary care.","n/a","‘Healthy start’","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",151,6,"Youth access to and utilisation of youth appropriate health services","Early detection and proactive management is vital to youth health, especially to youth mental health. Provision of youth appropriate services and access by youth is variable.","n/a","‘Young people make good choices’","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",102,"1.1.","Lead Maternity Carer registration rate","nA","n/a","‘Keeping children out of the hospital’.","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",62,"1.10.","Enrolment with oral health services","nA","n/a","‘Keeping children out of the hospital’.","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",107,"1.11.","Caries free at 5 years","nA","n/a","‘Keeping children out of the hospital’.","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",151,"1.2., 5.11.","New-born enrolment rate","nA","n/a","‘Keeping children out of the hospital’. ‘Healthy start’","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",102,"1.3.","Referral rate to Lead Maternity Carer","nA","n/a","‘Keeping children out of the hospital’.","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",102,"1.4.","Referral rate from Lead Maternity Carer to Well Child Tamariki Ora","nA","n/a","‘Keeping children out of the hospital’.","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",309,"1.5., 5.8.","Breastfeeding rates","nA","n/a","‘Keeping children out of the hospital’. ‘Healthy start’","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",61,"1.6.","Core Well Child Tamariki Ora visits achieved","nA","n/a","‘Keeping children out of the hospital’.","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",109,"1.7.","Respiratory initiatives","nA","n/a","‘Keeping children out of the hospital’.","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",117,"1.8.","Housing sensitive hospitalisations","nA","n/a","‘Keeping children out of the hospital’.","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",98,"1.9.","Immunisations","nA","n/a","‘Keeping children out of the hospital’.","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",55,"2.1.","Length of stay","nA","n/a","‘Using health resources effectively’ ","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",125,"2.2.","Acute readmissions","nA","n/a","‘Using health resources effectively’ ","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",125,"2.3.","Frequent representations","nA","n/a","‘Using health resources effectively’ ","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",237,"2.4.","Polypharmacy","nA","n/a","‘Using health resources effectively’ ","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",100,"2.5.","Flu vaccinations in the elderly","nA","n/a","‘Keeping children out of the hospital’.","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",299,"2.7.; 4.5., 5.12.","Smoking rates","nA","n/a","‘Using health resources effectively’; ‘Prevention and early detection’; ‘Healthy start’","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",52,"2.8.","Admission rates – ASH","nA","n/a","‘Using health resources effectively’ ","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",65,"2.9.","Emergency department health target","nA","n/a","‘Using health resources effectively’ ","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",214,"3.1.","E portal uptake and use","nA","n/a","‘Person centred care’","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",197,"3.2.","District health board inpatient care survey","nA","n/a","‘Person centred care’","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",null,"3.3.","Uptake of primary care patient experience survey","nA","n/a","‘Person centred care’","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",176,"3.4.","Sentinel events in hospital and primary care","nA","n/a","‘Person centred care’","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",50,"3.5.","Access to diagnostics","nA","n/a","‘Person centred care’","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",187,"3.6.","Admissions for drug reactions","nA","n/a","‘Person centred care’","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",null,"3.7.","Quality and safety markers","nA","n/a","‘Person centred care’","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",101,"4.1.","Cancer screening and treatment timeliness","nA","n/a","‘Prevention and early detection’","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",109,"4.2.","Cardiovascular risk management","nA","n/a","‘Prevention and early detection’","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",122,"4.3.","Other chronic disorder management (chronic obstructive pulmonary disorder, diabetes)","nA","n/a","‘Prevention and early detection’","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",314,"4.4.","Injuries (unintentional, self-harm) prevention","nA","n/a","‘Prevention and early detection’","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",300,"5.1.","Smokers at first registration with Lead Maternity Carer","nA","n/a","‘Healthy start’","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",102,"5.10.","Lead Maternity Carer referral to Primary Health Organisation","nA","n/a","‘Healthy start’","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",108,"5.2.","Mothers given cessation support","nA","n/a","‘Healthy start’","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",299,"5.3.","Smoking rates in women 15–40 years","nA","n/a","‘Healthy start’","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",102,"5.4.","Early registration with Lead Maternity Carer","nA","n/a","‘Healthy start’","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",151,"5.5.","Early enrolment with Primary Health Organisation","nA","n/a","‘Healthy start’","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",151,"5.6.","Well Child Tamariki Ora checks rate","nA","n/a","‘Healthy start’","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",300,"5.7.","Mothers smoke-free at two weeks post natal","nA","n/a","‘Healthy start’","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",64,"5.9.","B4 School Check checks rate","nA","n/a","‘Healthy start’","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",20,"6.1.","Waiting times for youth access to mental health and alcohol and other drug services","nA","n/a","‘Young people make good choices’","n/a","n/a","n/a","n/a","n/a"]
["D","27_Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",64,"6.2.","Access to and utilisation of Youth One Stop Shop and school-based health services","nA","n/a","‘Young people make good choices’","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",1,"A-1","Health insurance status of the population (% of population)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",8,"A-2","Out-of-pocket payments (% of total health expenditures)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",9,"A-3","Out-of-pocket payments (in US $ PPP/capita)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",2,"A-4","Self-reported delayed contacts with health services for financial reasons (% of households) (by income level)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",32,"A-5","Practising physicians (/1000 population)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",38,"A-6","Practising nurses (/1000 population)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",42,"A-7","Number of nurse vacancies",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",38,"A-8","Patient-to-nurse ratio",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",20,"A-9","Waiting time of more than two weeks to get an appointment with a specialist (% of population asking an appointment)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",54,"E-1","One-day surgical admissions (% of surgical admissions)",null,"n/a","Efficiency of care","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",55,"E-2","Length of stay normal delivery (mean, days)",null,"n/a","Efficiency of care","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",220,"E-3","Use of low-cost medication (% of total ambulatory DDDs)",null,"n/a","Efficiency of care","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",167,"EOL-1","Patients with terminal cancer who received palliative care","Proportion of terminal cancer patients who received palliative care at the end of their life.\nPalliative care as identified in billing data: this includes patients receiving a lump sum for palliative care at their usual place of residence, patients with visits of the general practitioner or nurse within a palliative setting, patients hospitalized in palliative units or hospitalized patients with visits of multidisciplinary palliative care teams.","Numerator: Number of patients who received palliative care (in usual place of residence or in hospital)\nDenominator: Number of patients diagnosed with a cancer with poor prognosis and that died within the studied time period","n/a","n/a","Belgian Cancer Registry (BCR), linked with IMA data","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",168,"EOL-2","Start of palliative care very close to death","Proportion of patients who started receiving palliative care and died within one week.","Numerator: Number of patients who started palliative care and died within the week.\nDenominator: Total number of patients who received palliative care services before their death.","The start of palliative care is sometimes delayed until patients are in terminal phase. This can denote either problems of accessibility of end of life care, either that the decision to start palliative care was taken too late.","n/a","Belgian Cancer Registry (BCR), linked with IMA data","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",185,"EOL-3","Patients who received chemotherapy in the last 14 days of life (% of terminal cancer patients who died in the year)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",169,"EOL-4","Death at usual place of residence (home or in residential care) (% of terminal cancer patients who died in the year)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",355,"EQ-1","Income distribution in population (GINI coefficient)","The Gini index measures the degree of inequality in the distribution of the income in a country. The index is calculated from the Lorenz curve, in which cumulative income is plotted against the cumulative number of individuals arranged from the poorest to the richest. The i ndex is the ratio of (a) the area between a country's Lorenz curve and the 45 degree line to (b) the entire triangular area under t he 45 degree line. The more nearly equal a country's income distribution, the closer its Lorenz curve to the 45 degree line and the lower its Gini i ndex. The more unequal a country's income distribution, the farther its Lorenz curve from the 45 degree line and the higher its Gini index. If incomes are distributed with perfect equality, the Lorenz curve coincides with the 45 degree line and the index is zero; if incomes are d istributed with perfect inequality, the Lorenz curve coincides with the horizontal a xis and the right vertical axis and the index is 100.","n/a","There is a link between the way to redistribute the incomes (income inequality) in a country and some forms of objective heal th problems and the perceived health situation or status  (Braveman, 2003, Daniels, 2008, Deaton, 2003, Jackson, 2010, Rowlingson, 2011, Van Oyen H,  2010) ","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",null,"EQ-2","Degree of progressivity of financing healthcare (Ratio progressive receipts / total receipts, expressed as a %)","Since 2005, the financing of the Belgian social security system is based on the principle of pooling of receipts (the so-called ‘financial global management’). That means that all financial resources are globalized and then transferred to the different branches of the social security in function of their respective financial needs. The financing of the healthcare system is also composed of some ‘own receipts’. We consider here these two parts of the financing of the health care system in order to characterize the financing in terms of progressivity.","Three ratios are calculated: respectively progressive, proportional and regressive receipts divided by the total receipts (excluded diverse receipts). The 'own receipts' of the health system sector are well defined (personal social contributions, alternative financing and allocated receipts). The transferred receipts from the ‘global management’ of the two social security systems (employed workers and self-employed) are no longer specific to the health care branch. Therefore, we have calculated the ‘transferred social contributions’, the ‘transferred allocated receipts’ and the ‘transferred subsidies’ using as 'repartition key’ the proportion of these three sources of financing in the total receipts of social security in the two systems.","Wagstaff and van Doorslaer do not find in the literature a real justification of the ability-to-pay principle but rather a justification for rejecting the benefit principle or in favour to the decoupling of payments from utilization. On the other hand, the progressivity of the financing of the health system constitutes an interesting argument to decouple the payment on the ‘point of care’ from the ability to pay. Moreover, progressivity is a necessary condition for vertical equity (individuals of unequal ability to pay make dissimilar payments to finance the health system) but the average tax rate interacts with it to determine the magnitude of redistribution, since progressivity is defined by the dispersion of tax liabilities, irrespective of their average. Horizontal equity requires equal treatment of equals (individuals of equal ability to pay make similar payments to finance the health system) and departures from horizontal equity may affect vertical equity if the discrepancy between the “contribution base” and the ability to pay is increasing in ability to pay. We can say that we adopt here a ‘strong egalitarian perspective’ because we examine if the health system is financed according to the ability to pay (egalitarian perspective1) not by a proportional way, but by a progressive way (‘strong’ egalitarian).","n/a","SPF Sécurité sociale, INAMI – RIZIV","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",null,"EQ-3","Degree of regressivity of financing healthcare (Ratio regressive receipts / progressive receipts)","Since 2005, the financing of the Belgian social security system is based on the principle of pooling of receipts (the so-called ‘financial global management’). That means that all financial resources are globalized and then transferred to the different branches of the social security in function of their respective financial needs. The financing of the healthcare system is also composed of some ‘own receipts’. We consider here these two parts of the financing of the health care system in order to characterize the financing in terms of progressivity.","Three ratios are calculated: respectively progressive, proportional and regressive receipts divided by the total receipts (excluded diverse receipts). The 'own receipts' of the health system sector are well defined (personal social contributions, alternative financing and allocated receipts). The transferred receipts from the ‘global management’ of the two social security systems (employed workers and self-employed) are no longer specific to the health care branch. Therefore, we have calculated the ‘transferred social contributions’, the ‘transferred allocated receipts’ and the ‘transferred subsidies’ using as 'repartition key’ the proportion of these three sources of financing in the total receipts of social security in the two systems.","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",305,"HP-1","Obesity in adults (BMI ≥ 30) (% pop aged 18+) (by education levels)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",310,"HP-10","Tobacco Control Scale","Tobacco Control Scale quantifies the intensity of 6 policies considered by WHO as priorities for a comprehensive tobacco control programme. 100 means maximum score on the 6 policies","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",305,"HP-2","Overweight in adolescents (BMI exceeding normal weight limits (% pop aged 11, 13, 15)","As defined by the standard definition for child overweight","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",267,"HP-3","Incidence of HIV (new diagnoses/100 000 pop)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",299,"HP-4","Daily smokers (% pop aged 15+) (by education levels)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",302,"HP-5","Hazardous alcohol drinking (% pop aged 15+)","Hazardous drinking: proportion of the population aged 15 years and over with an average weekly alcohol consumption exceeding a threshold considered as harmful.","Percentage of 1) men and 2) women aged 15 years and over and participating in the HIS, who reports consuming more than 1) 28 and 2) 14 drinks (standard drink equivalent to 10 g of pure alcohol) per week (respectively more than 280 g and 140 g per week). Results are weighted to account for the survey design.","A substantial part of health, social and economic burden is caused by problems attributable to hazardous alcohol consumption. Reducing this burden is a priority area for public health, which can be reached through the implementation of proven alcohol reduction strategies. Therefore, excessive alcohol consumption is considered an important indicator to monitor.","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",302,"HP-6","Binge drinking (% pop aged 15+) (by educational levels)","Binge drinking: proportion of the population aged 15 years and over who has 6 drinks or more (i.e., ≥ 60 g ethanol) on one occasion at least once a week","Percentage of people aged 15 years and over and participating in the HIS, who reports having, 6 drinks or more on one occasion at least once a week (equivalent of 60g of pure alcohol). Results are weighted to account for the survey design.","A substantial part of health, social and economic burden is caused by problems attributable to hazardous alcohol consumption. Reducing this burden is a priority area for public health, which can be reached through the implementation of proven alcohol reduction strategies. Therefore, excessive alcohol consumption is considered an important indicator to monitor.","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",306,"HP-7","Daily physical activity (at least 30 min) (% pop aged 18-64) (by education levels)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",151,"HP-8","Global Medical Record + (% pop aged 45-75 with GMR)","1. Percentage of persons who have a global medical record (GMR) with a general practitioner (GP)\n2. Among persons aged 45-74 with a GMR, percentage of persons who have a preventive counselling (preventive GMR)","1. Numerator: number of insured persons with a global medical record; Denominator: all insured persons\n2. Numerator: number of insured persons with a preventive counselling; Denominator: number of insured persons with a global medical record between 45-75","Indicator 1: coverage of GMR; Since 2001, the global medical record (GMR) is implemented in Belgium. Each patient can ask a (unique) general practitioner to manage his/her medical information. By leaving the coordination of medical care to one central person, the quality of care is expected to increase. Referral to and communication with other care providers can become more efficient, and double investigations or\ncontrasting treatments can be avoided.\nIndicator 2 : coverage of GMR+ (preventive module); since April 2011, if a patient aged from 45-75 has a GMR, the GP can provide some prevention measures like - Counselling (tobacco, alcohol, weight) and recommend physical activities - Screen or inform for screening for particular diseases following recommendation like cancer (colorectal, breast, cervical), diabetes, cardiovascular risk, depression or apply recommendation for vaccination ( flu, pneumococci, tetanus). ","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",298,"HP-9","Health literacy (at least sufficient level) (% of pop aged 18+)","% of people having a sufficient level of health literacy, defined as the ability to access, understand, appraise and apply relevant information to take decisions concerning health care, prevention and health promotion.","The value of the indicator has been calculated as a score derived from a short version of the EU Health Literacy Survey (HLS-EU) project questionnaire; this short versions contains 16 questions. Values of the score are then grouped according to cut off scores into 3 groups: sufficient, problematic and insufficient health literacy. ","Health literacy is considered a crucial resource for health and as a core outcome of health education, which in itself is an important strategy for health promotion. It can be defined as the individual knowledge, motivation and competences to access, understand, appraise and apply information that is relevant for functioning in the health system (health care, diseases prevention and health promotion).1 2 As it gives individuals the possibility to make healthier choices, improving health literacy is critical to empowerment.3 As such, health literacy is increasingly included in European health policies. ","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",244,"HS-1","Life expectancy at birth (years)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",247,"HS-2","Premature mortality (potential years of life lost before 70 years old /100 000 pop, age-adjusted)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",258,"HS-3","Amenable mortality (rate/100 000 pop, age-adjusted)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",257,"HS-4","Preventable mortality (rate/100 000 pop, age-adjusted)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",250,"HS-5","Infant mortality (deaths/1000 live births)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",246,"HS-6","Healthy Life Years at age 65 (years)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",272,"HS-7","Self-perceived health (% pop 15+ in good or very good health). (by education level)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",229,"LT-1","Long-term care in residential facility (% pop aged 65+)","a) Home for the elderly in Dutch: woonzorgcentra (previously called rustoorden voor bejaarden – ROB) and in French: maison de repos pour personnes âgées (MRPA)\nb) Nursing home in Dutch: rust- en verzorgingstehuis (RVT) and in French: maison de repos et de soins (MRS)","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",229,"LT-2","Long-term home nursing care (% pop aged 65+)","Long-term nursing care at home data is based on per diem lump sum billings","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",238,"LT-3","Informal carers (% of pop aged 15+)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",236,"LT-4","Fall incident during the last 12 months (% pop aged 65+)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",236,"LT-5","Prevalence of pressure ulcers (grade II-IV) in home for the elderly (% of residents)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",180,"LT-6","Prevalence of MRSA carriage in residential facility (% of residents)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",264,"MH-1","Deaths due to suicide (/100 000 pop)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",56,"MH-10","Number of hospitalisation days in psychiatric hospital wards (/1000 pop)","Number of hospitalisations days in psychiatric hospital per capita","Numerator: Number of hospitalisation days in psychiatric hospital or in psychiatric services of general hospital with at least one overnight.\nDenominator: Mid-year Belgian population","This indicator provides contextual information on the utilization of mental healthcare services outside ambulatory\nsetting. It may reflect differences between regions, such as the health of the population, differing health service\ndelivery models and variations in the availability and accessibility of specialized, residential and/or ambulatory and\ncommunity-based services. We acknowledge that monitoring psychiatric hospital service use captures only a\nrelatively small proportion of individuals who require mental healthcare services. However, in Belgium (like in other\nWestern countries) recent reforms (e.g. art 107 projects) in mental healthcare aim to shift the organisation of mental\nhealthcare from a model that was based on ‘large isolated institutions’ towards a balanced care model. This implies\nthat care is offered and delivered as close as possible to the patient’s living environment, and only if necessary in an\ninstitution. As such, one may expect a decreasing trend of psychiatric hospitalisation days.","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",32,"MH-2","Practising psychiatrists (/1000 pop)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",20,"MH-3","Waiting time longer than 1 month for first contact in ambulatory mental health centre (% of pop with contact in ambulatory mental health centre)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",122,"MH-5","ER visits for social, mental or psychic reason (% of admission in ER in general hospitals)",null,"n/a","Appropriateness","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",145,"MH-6","Use of antidepressants (total DDD/1000 pop/day)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",146,"MH-7","Use of antidepressants (% of adult population, at least once in the year)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",148,"MH-8","Percentage of patients with short duration (< 3 months) of antidepressants treatment (% of pop under antidepressant)",null,"n/a","Appropriateness - Illustrative indications of inefficiency: Inappropriate treatment","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",237,"MH-9","Patients (65+ years old) prescribed antidepressants with anticholinergic effect (%)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",68,"nA","Variation in knee arthroscopy and in cardiac catheterisation (coefficient of variation measured at level of province)","nA","n/a","Efficiency of care: Illustrative indications of inefficiency - Unexplained geographic variation","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",148,"nA","Proportion of adult diabetics (under insulin) not receiving regular retinal exams, test of serum creatinine and blood tests (% of patients) (by reimbursement categories)","No regular contacts with dentist is defined as patients who do not have at least at 2 contacts on 2 different years over a three year period.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",244,"nA","Life Expectancy at 25 in men (by education level)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",244,"nA","Life Expectancy at 25 in women (by education level)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",246,"nA","Healthy Life Years at 25 in men (by education level)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",246,"nA","Healthy Life Years at 25 in women (by education level)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",98,"P-1","Polio, diphtheria, tetanus and pertussis vaccination in children (%, 3th/4th dose)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",185,"P-10","Breast cancer screening outside age target group (% women aged 40-49)",null,"n/a","Illustrative indications of inefficiency: Screening outside target group","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",62,"P-11","No regular contacts with dentist (% pop aged 3+)","No regular contacts with dentist is defined as patients who do not have at least at 2 contacts on 2 different years over a three year period.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",98,"P-2","Measles vaccination in children (%, 1th/2th dose)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",98,"P-3","Hepatitis B vaccination in children (%, 3th/4th dose)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",100,"P-4","Influenza vaccination (% of the 65+)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",269,"P-5","Incidence of measles (new cases/million pop)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",101,"P-6","Breast cancer screening (% women aged 50-69) (by reimbursement caregories: concentration index of inequalities)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",101,"P-7","Breast cancer screening - organized programme (% women aged 50-69)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",101,"P-8","Cervix cancer screening (% women aged 25-64) (by reimbursement caregories: concentration index of inequalities)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",101,"P-9","Colorectal cancer screening (FOBT) (% pop aged 50-75)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",145,"QA-3","Use of antibiotics (total DDD/1000 pop/day)",null,"n/a","Appropriateness","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",146,"QA-4","Use of antibiotics at least once in the year (% of population)",null,"n/a","Appropriateness","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",145,"QA-5","Use of antibiotics of second intention (% total DDD antibiotics)","Antibiotics of second intention are: amoxycilline with clavulanic acid, macrolides, cephalosporins and quinolones.","n/a","Appropriateness","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",184,"QA-6","Medical radiation exposure due to inappropriate medical imaging (mSv/capita/year)",null,"n/a","Appropriateness - Illustrative indications of inefficiency: Over-use of investigations/equipment","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",69,"QA-7","Caesarean sections (/100 live births)",null,"n/a","Appropriateness","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",151,"QC-1","Coverage of global medical record (% of pop with at least one contact with their GP within three years)","1. Percentage of persons who have a global medical record (GMR) with a general practitioner (GP)\n2. Among persons aged 45-74 with a GMR, percentage of persons who have a preventive counselling (preventive GMR)","1. Numerator: number of insured persons with a global medical record; Denominator: all insured persons\n2. Numerator: number of insured persons with a preventive counselling; Denominator: number of insured persons with a global medical record between 45-75","Indicator 1: coverage of GMR; Since 2001, the global medical record (GMR) is implemented in Belgium. Each patient can ask a (unique) general practitioner to manage his/her medical information. By leaving the coordination of medical care to one central person, the quality of care is expected to increase. Referral to and communication with other care providers can become more efficient, and double investigations or\ncontrasting treatments can be avoided.\nIndicator 2 : coverage of GMR+ (preventive module); since April 2011, if a patient aged from 45-75 has a GMR, the GP can provide some prevention measures like - Counselling (tobacco, alcohol, weight) and recommend physical activities - Screen or inform for screening for particular diseases following recommendation like cancer (colorectal, breast, cervical), diabetes, cardiovascular risk, depression or apply recommendation for vaccination ( flu, pneumococci, tetanus). ","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",151,"QC-2","Usual Provider Continuity index ≥ 0.75","Proportion of encounters that were conducted by the general practitioner (GP) consulted most frequently: Usual provider continuity (UPC) index.","Numerator: number of encounters with the usual GP during 2 years for all patients (children and adults)\nDenominator: total of encounters with GPs during the same period for all patients (children and adults).","QUALITY OF CARE: CONTINUITY: \nLongitudinal relationship between physician and patient is acknowledged to encourage communication, improve satisfaction, medication compliance, and behavioural problems, stimulate receipt of preventive services and decrease hospitalisations and emergency department visits for patients with chronic disease.1 There are several measures of longitudinal continuity with UPC as one of the most common index use.2-8 The advantage of this indicator is its easy interpretation.","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",152,"QC-3","GP encounter within 7 days after hospital discharge (% patients 65+)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",148,"QC-4","Proportion of adult diabetics (under insulin) with a convention/passport/care trajectory (% of patients)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",148,"QC-5","Proportion of adult diabetics (under oral antidiabetic only) with a convention/passport/care trajectory (% of patients, 50+)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",148,"QC-6","Patients with cancer discussed at the multidisciplinary team meeting (%)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",122,"QE-1","Asthma hospital admissions in adults (/100 000 pop)","Number of hospital admissions for asthma in people aged 15 years and over, per 100 000 population","Numerator: All non-maternal/non-neonatal hospital admission with principal diagnosis code of asthma in a specified year\nDenominator: Population count\nExclude cases: Transferring from another institution; MDC 14 (pregnancy, childbirth and puerperium); MDC 15 (new-born and other\nneonates); with cystic fibrosis and anomalies of the respiratory system diagnose code in any field; same day/day only admissions.","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",122,"QE-2","hospital admissions for uncontrolled diabetes or complication of diabetes","Number of hospital admissions for uncontrolled (or complication of) diabetes in people aged 15 years and over, per 100 000 population","Numerator: All non-maternal/non-neonatal hospital admission with principal diagnosis code of \n- Uncontrolled diabetes\n- Diabetes Short-term complication (ie. ketoacidosis, hyperosmolarity)\n- Long term complication (ie. renal, eye; neurological, circulatory, or complication not otherwise specified).\nDenominator: Population count\nExclude cases: Transferring from another institution; MDC 14 (pregnancy, childbirth and puerperium); MDC 15 (new-born and other neonates); Same day/day only admissions.","Asthma and diabetes are two widely prevalent long term conditions. Common to all two conditions is the fact that the evidence base for effective treatment is well established and much of it can be delivered at a primary care level. A high performing primary\ncare system can to a significant extent, therefore, avoid acute deterioration in people living with asthma, or diabetes and prevent their admission to hospital. High hospital admission rates for these two conditions can thus serve as a proxy for pointing to poor effectiveness of first line care, as well as poor co-ordination or continuity of care. ","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",116,"QE-3","Breast cancer 5-year relative survival rate (%)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",116,"QE-4","Colorectal cancer 5-year relative survival rate (%)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",112,"QE-5","Case-fatality within 30 days after admission for AMI (pop aged 45+, admission-based, %)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",112,"QE-6","Case-fatality within 30 days after admission for ischemic stroke (pop aged 45+, admission-based, %)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",191,"QP-1","Doctor spending enough time with patients during the consultation (% of respondents, contact with GP/SP)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",192,"QP-2","Doctor providing easy-to-understand explanation (% of respondents, contact with GP/SP)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",194,"QP-3","Doctor giving opportunity to ask questions or raise concerns (% of respondents, contact with GP/SP)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",195,"QP-4","Doctor involving patients in decisions about care and/or treatments (% of respondents, contact with GP/SP)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",180,"QS-1","Prevalence of hospital-acquired infections (% of patients hospitalised)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",180,"QS-2","Incidence of hospital-acquired MRSA infections (/1000 hospital stays)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",179,"QS-3","Incidence of post-operative pulmonary embolism or deep vein thrombosis, after hip or knee replacement (/100 000 hip or knee surgery discharges)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",179,"QS-4","Incidence of post-operative sepsis after abdominal surgery (/100 000 abdominal surgery discharges)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",182,"QS-5","Prevalence of hospital-acquired cat II-IV pressure ulcers (% of patients hospitalised)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",237,"QS-6","Polymedication (5 or more different medicines within last 24 hours) (% pop aged 65+)","Proportion of the population aged 65 years and older reporting having taken respectively 5 or 9 or more different medicines during the last 24 hours. by specific groups of medicines (e.g. lipid modifying agents, antithrombotic agents, antidepressants, etc.)","Numerator: number of people aged 65 years and older participating to the Health Interview Survey (HIS), reporting having taken respectively 5 or 9 or more medicines during the last 24 hours. Are considered here as medicines only the official medicines that are listed in the Annotated Medicines Registry published by the Belgian Centre for Pharmacotherapeutic Information (BCPI).\nDenominator : number of people aged 65 years and older participating to the HIS","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",237,"QS-7","Excessive polymedication (9 or more different medicines within last 24 hours) (% pop aged 65+)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",75,"S-1","Total Health Expenditures (% of GDP)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",38,"S-10","Nurses aged 50+ (% of those practising)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",56,"S-11","Curative care bed-days (number/capita)","Curative care bed days, number per capita.","Numerator: total number of days of inpatient stays spent in acute care beds\nDenominator: total Belgian population.","The number of acute care bed days per capita gives an idea about the population’s need for acute care beds, and thus about the needed infrastructure. This indicator gives an idea about how this need is met (sustainability). This indicator combines results from two other indicators: number of hospital admission per capita, and average length of hospitalisation.","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",222,"S-12","W.A.I.T indicator for innovative medicinesa (in days)","W.A.I.T indicator defined as average number of days between marketing authorisation and patient access","The rate of availability, measured by the number of medicines available to patients in European countries, compared to the number of medicines with EU MA granted in the reference period;\nThe average time between marketing authorisation and patient access, measured by the number of days elapsing from the date of EU marketing authorisation (MA) to the day of completion of post-marketing authorisation administrative processes.","In 2012 the European Commission enacted the EC Transparency Directive 89/105/EEC mandating no more than 120 days of delay for national pricing and reimbursement decision. Monitoring this delay ensures that Belgium fulfils this criteria, and that patients get timely access to innovative medicines.\nHowever, this period should not necessarily be interpreted as an undue delay: the time between the MA and patient access reflects the pricing and reimbursement procedure necessary to evaluate e.g. the therapeutic value, therapeutic and societal needs, the budgetary impact for the health insurance and the cost-effectiveness of the new medicine.","n/a","European Federation of Pharmaceutical Industries and Associations (EFPIA) reports\nSimilar reports have been prepared for cancer drugs, innovative treatments in rheumatoid arthritis, and multiple sclerosis.\nEFPIA reports have also recently been updated by IMS3 and show similar conclusions.","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",72,"S-13","GPs using an electronic medical file (% of practising GPs)",null,"Numerator: number of GP with a prime of money for keeping electronic medical record\nDenominator: all practising GP","Since 2002, GPs receive a prime of money by NIHDI for buying a medical soft to keep an electronic medical record for their patients. This allocation is attributed if the GP asks for it and can prove that he has bought the medical software. By registering electronic records, coordination, continuity and quality of care are expected to increase. Referral to and communication with other care providers could become more efficient, and double investigations or contrasting treatments could be avoided. EMR can also improve quality of care by facilitating reminders (scripts).","n/a","NIHDI (reimbursement data base of EMR)","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",75,"S-2","Total Health Expenditures (€/capita)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",null,"S-3","Total Health Expenditures (% financed by public sector)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",36,"S-4","Medical graduates (/100 000 population)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",36,"S-5","Medical graduates becoming GP (% of those with medical specialisation)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",33,"S-6","Mean age of practising GPs (in FTE, years)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",32,"S-7","Physicians aged 55+ (% of those practising)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",39,"S-8","Nursing graduates (/100 000 population)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",39,"S-9","Nursing students following the bachelor track (% of new graduates)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",null,null,"Percentage of schools with a health-team",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",116,null,"5-years relative survival rate: cervix cancer",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",151,null,"Proportion of contacts with the usual GP (%)(UPC index)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",190,null,"Pain always controlled during hospitalization (% of patients)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",197,null,"Satisfaction with healthcare services (% good or very good)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",314,null,"Health promotion policies in the municipalities",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",342,null,"% of the population (aged 15+) reporting a poor social support (by education levels)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","28_Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",null,null,"Employment ratio of people with mental health disorder","Ratio of employment rate of people with mental health disorder to employment rate of all people with disabilities","n/a","n/a","n/a","European Labour Force Study 2002","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",1,null,"Total population health service coverage",null,"n/a","Fair financing, financial protection and coverage: health system coverage","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",4,null,"Percentage of population reporting problems accessing dental care by income quintile",null,"n/a","Access to health care services: equity in utilization of health care services","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",5,null,"Total household out-of-pocket payments and as a percentage of total household expenditure by income quintile",null,"n/a","Fair financing, financial protection and coverage: protection against the financial risk of ill health","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",6,null,"Proportion of households impoverished due to out-of-pocket payments","check definition","n/a","Fair financing, financial protection and coverage: protection against the financial risk of ill health","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",8,null,"Out-of-pocket and other private expenditure on health as a percentage of total health expenditure",null,"n/a","Fair financing, financial protection and coverage: health system expenditures","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",9,null,"Out-of-pocket payments as percentage of GDP, per capita",null,"n/a","Fair financing, financial protection and coverage: health system expenditures","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",null,null,"Average hospital waiting times for inpatient, outpatient and ambulatory care",null,"n/a","Access to health care services: utilization of health care services","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",null,null,"Distribution of waiting times for hospital inpatient care in large Estonian hospitals",null,"n/a","Access to health care services: utilization of health care services","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",18,null,"Reported waiting times for access to General Practitioners",null,"n/a","Access to health care services: utilization of health care services","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",20,null,"Reported waiting times for specialist services",null,"n/a","Access to health care services: utilization of health care services","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",29,null,"Relationships between standardized mortality rates compared with hospitalization rates","check definition","n/a","Access to health care services: equity in utilization of health care services","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",29,null,"Relationships between standardized mortality rates compared with GP contacts","check definition","n/a","Access to health care services: equity in utilization of health care services","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",32,null,"Physicians per 100 hosptal beds",null,"n/a","Efficiency and effectiveness of the health system: technical efficiency","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",33,null,"GPs and specialist physicians per 100.000 population",null,"n/a","Efficiency and effectiveness of the health system: allocative efficiency","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",41,null,"Ratio of nurses to physicians",null,"n/a","Efficiency and effectiveness of the health system: allocative efficiency","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",46,null,"Hospital beds per 1.000.000 population",null,"n/a","Efficiency and effectiveness of the health system: technical efficiency","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",55,null,"Average length of stay, all hospitals",null,"n/a","Efficiency and effectiveness of the health system: technical efficiency","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",58,null,"Bed occupancy rate (%), acute care hospitals only",null,"n/a","Efficiency and effectiveness of the health system: technical efficiency","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",63,null,"GP utilization versus hospitalization rate","check definition","n/a","Efficiency and effectiveness of the health system: allocative efficiency","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",63,null,"Rates of inpatient admissions and outpatient contacts",null,"n/a","Access to health care services: utilization of health care services","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",75,null,"Government spending on health as a percentage of GDP",null,"n/a","Fair financing, financial protection and coverage: health system expenditures","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",75,null,"Sources of health care financing as a percentage of total health care expenditures",null,"n/a","Fair financing, financial protection and coverage: fairness of health system financing","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",77,null,"Government spending on health compared with overall government spending",null,"n/a","Fair financing, financial protection and coverage: health system expenditures","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",92,null,"Primary health care and inpatient expenditure compared with total health system expenditure","check definition","n/a","Efficiency and effectiveness of the health system: allocative efficiency","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",98,null,"Immunization rates of two-year-olds with national immunization calendar vaccines",null,"n/a","Health behaviour and health promotion","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",197,null,"Satisfaction with the health care",null,"n/a","Responsiveness of the health system","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",197,null,"Satisfaction with the quality of health care services",null,"n/a","Responsiveness of the health system","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",197,null,"Satisfaction with access to health care services",null,"n/a","Responsiveness of the health system","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",197,null,"Satisfaction with hospital care and primary care during the last visit",null,"n/a","Responsiveness of the health system","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",197,null,"Satisfaction with health care benefit package","check definition","n/a","Responsiveness of the health system","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",244,null,"Male and female life expectancy at birth in selected Eu countries",null,"n/a","Health status (level and distribution): life expectancy","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",244,null,"Changes in life expectancy 2000 versus 2008 attributable to different disease groups","check definition","n/a","Health status (level and distribution): life expectancy","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",244,null,"Change in life expectancy at birth, by sex",null,"n/a","Health status (level and distribution): life expectancy","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",246,null,"Disability-free life expectancy",null,"n/a","Health status (level and distribution): life expectancy without disabilities","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",248,null,"Regional levels of the burden of disease (disability-adjusted life-years per 1.000 persons)",null,"n/a","Health status (level and distribution): burden of disease","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",250,null,"Infant mortality rate",null,"n/a","Health status (level and distribution): changes in mortality rates","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",254,null,"child mortality rate",null,"n/a","Health status (level and distribution): changes in mortality rates","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",256,null,"avoidable mortality rate",null,"n/a","Health status (level and distribution): changes in mortality rates","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",256,null,"Potential gains in life expectancy in days if avoidable mortality were avoided in 2008",null,"n/a","Health expenditure and efficiency: efficiency","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",260,null,"Main disease groups causing the burden of disease","check definition","n/a","Health status (level and distribution): burden of disease","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",263,null,"deaths from work-related accidents",null,"n/a","Broader determinants of health: occupational health","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",272,null,"Self-assessed health",null,"n/a","Health status (level and distribution): self-assessed health","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",292,null,"Incidence of occupational diseases","Incidence rates (new cases) of work-related/occupational diseases. \nWHO definition: An “occupational disease” is any disease contracted primarily as a result of an exposure to risk factors arising from work activity. “Work-related diseases” have multiple causes, where factors in the work environment may play a role, together with other risk factors, in the development of such diseases. (http://www.who.int/occupational_health/activities/occupational_work_diseases/en/)","n/a","Broader determinants of health: occupational health","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",299,null,"Proportion of daily smokers aged 15+ years",null,"n/a","Health behaviour and health promotion","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",302,null,"Consumption of pure alcohol per person",null,"n/a","Health behaviour and health promotion","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",305,null,"Overweight",null,"n/a","Health behaviour and health promotion","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",305,null,"Prevalence of overweight and obesity",null,"n/a","Health behaviour and health promotion","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",306,null,"Physical activity",null,"n/a","Health behaviour and health promotion","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",321,null,"Average concentration of small particles in the air in cities",null,"n/a","Broader determinants of health: environmental health","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",326,null,"Percentage of population having access to clean drinking-water",null,"n/a","Broader determinants of health: environmental health","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",329,null,"Level of education",null,"n/a","Broader determinants of health: social determinants of health","n/a","n/a","n/a","n/a","n/a"]
["E","29_WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",351,null,"Unemployment rate",null,"n/a","Broader determinants of health: social determinants of health","n/a","n/a","n/a","n/a","n/a"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",6,null,"Percentage of households in Hungary experiencing high levels of out-of-pocket health expenditures using different thresholds",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",6,null,"Percentage of households in Hungary experiencing catastrophic health expenditure or impoverishing health expenditure",null,"n/a","n/a","n/a","Hungarian Central Statistical Office (HCSO) Household Budget Survey data","n/a","n/a","n/a"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",6,null,"Percentage of households in Hungary experiencing catastrophic health expenditure or impoverishing health expenditure: comparison of the standard WHO methodology and the extended basket of essential goods approach",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",6,null,"Distribution of catastrophic expenditures according to income quintiles","a summary indicator of equity in financing widely used in international literature","n/a","Unfortunately, there has\nbeen no monitoring of this aspect of equity over the years, except for\none study on private expenditure, which found it similarly regressive\nin 2007 (-0.2726) as in 1999 (Csaba, 2007).","n/a","n/a","n/a","n/a","n/a"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",8,null,"Out-of-pocket expenditure on health as a percent of total health expenditure",null,"n/a","n/a","n/a","WHO","n/a","n/a","n/a"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",13,null,"Access to PCI for AMI patients admitted for AMI care","check definition\nDone and its further application is advised","n/a","Cardiology/stroke: Access","n/a","n/a","n/a","n/a","n/a"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",13,null,"Rate of premature newborns transported to perinatal intensive centre (PIC) after over one day","Done and its further application is advised","n/a","Obstetrics/neonatology: Access","n/a","n/a","n/a","n/a","n/a"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",13,null,"Rate of psychiatric patients receiving antidepressant treatment","Theoretical proposal, but in practice use of indicator is not advised","n/a","Psychiatry/addictology: Access","n/a","n/a","n/a","n/a","n/a"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",20,null,"Oncology patients’ access to care","check definition\nDone, but the further application of the indicator is not advised, or only with precautions","n/a","Oncology: Access","n/a","n/a","n/a","n/a","n/a"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",20,null,"Rehabilitation of acute addictology patients after more than 60 days","Done, but the further application of the indicator is not advised, or only with precautions","n/a","Psychiatry/addictology: Timeliness","n/a","n/a","n/a","n/a","n/a"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",23,null,"Rate of patients with colorectal tumour receiving chemotherapy whose treatment started within two months following surgery","Done and its further application is advised","n/a","Oncology: Timeliness. The indicator for the analysis of timeliness proved to be appropriate to detect effects of the policy changes on timely delivery of services to colorectal cancer patients.","n/a","n/a","n/a","n/a","n/a"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",52,null,"Hospital discharges per 1,000 population",null,"n/a","technical efficiency: However, the number of hospital discharges is not the best measure of outputs for several reasons. First, it includes not only the acute but also long-term care cases. Second, it does not take into account how complex or resource-intensive patients were cared for in the hospital, i.e. it does not measure the case-mix.","n/a","n/a","n/a","n/a","n/a"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",55,null,"average length of stay",null,"n/a","technical efficiency: the association between the number of hospital days and cost of care is not linear, with the bulk of the costs being concentrated in the first couple of days of acute inpatient care","n/a","n/a","n/a","n/a","n/a"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",58,null,"bed occupancy rate",null,"n/a","technical efficiency: the expenditures depend on the number of beds, which alone is only loosely correlated to actual costs of acute care (in the case of long-term care the number of beds is a better proxy).","n/a","n/a","n/a","n/a","n/a"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",69,null,"Variation in rates of Caesarean section (per 100 live births) in county hospitals",null,"n/a","allocative efficiency","n/a","n/a","n/a","n/a","n/a"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",null,null,"Trends in public expenditure on health as a percentage of GDP in social health insurance countries",null,"n/a","n/a","n/a","WHO","n/a","n/a","n/a"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",null,null,"Revenue sources (SHI, taxes, other public sources) of the Health Insurance Fund (HIF)","SHI: social health insurance, HIF: Health insurance fund. ","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",77,null,"Trends in the share (%) of the health sector in total government spending in selected countries with social health insurance",null,"n/a","n/a","n/a","WHO","n/a","n/a","n/a"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",null,null,"structure of HIF expenditure","breakdown of HIF expenditure on curative services: primary care, mother and child health services, dental care, dispensaries, patient transport, ambulance service, dialysis, home care nursing, outpatient specialist care incl. CT, MRI and lab services; inpatient acute services; chronic hospital services; ","n/a","However, cost-containment in itself does not ensure efficient resource allocation within the health sector. It is difficult to assess inefficiency resulting from the misallocation of resources among various levels of care and services from aggregate spending data, but the structure of HIF expenditure could be used as a proxy","n/a","n/a","n/a","n/a","n/a"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",86,null,"spending in the pharmaceutical sub-budget of the HIF",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",91,null,"HIF expenditure on acute hospital care","NHIFA expenditures on acute hospital care (billion HUF, constant 1994 prices, deflated with health care price index)","n/a","HIF expenditure on acute inpatient care is a better measure than patient days","n/a","n/a","n/a","n/a","n/a"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",93,null,"Comparison of the average cost of cardiovascular inpatient care for patients screened and properly care for and patient without screening and disease management",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",94,null,"Case mix index",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",96,null,"Sum of DRG cost weights/points (in thousands)",null,"n/a","technical efficiency: a better measure of outputs in acute inpatient care is the total number of DRG points produced by hospitals. The analysis of the time series of the sum of DRG points should also consider that the point value attached to a DRG could change due to the changes in technology and due to “re-standardization” applied to adjust for DRG creep which is the inflation of case severity reported by hospitals.","n/a","n/a","n/a","n/a","n/a"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",96,null,"HIF payment per DRG point as a percentage of 1994 figure (1994=100%)","Comparing the HIF budget for acute inpatient care at constant prices (cost of inpatient care) and DRG points of acute inpatient care (output),","n/a","technical efficiency: ","n/a","n/a","n/a","n/a","n/a"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",102,null,"Pregnancy care starting before 12th week of pregnancy","Measure of indicator was not possible due to methodological problems","n/a","Obstetrics/neonatology: Timeliness","n/a","n/a","n/a","n/a","n/a"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",105,null,"Rate of preterm delivery where the mother has not received pregnancy care","Measure of indicator was not possible due to methodological problems","n/a","Obstetrics/neonatology: Appropriateness","n/a","n/a","n/a","n/a","n/a"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",111,null,"Hospital mortality (%)",null,"n/a","Crude indicators of quality in acute inpatient care","n/a","n/a","n/a","n/a","n/a"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",112,null,"Thirty-day mortality following AMI","Done and its further application is advised","n/a","Cardiology/stroke: Effectiveness","n/a","n/a","n/a","n/a","n/a"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",112,null,"Variation in 30-day mortality (%) in patients with acute myocardial infarction according to county of the hospital of first admission",null,"n/a","allocative efficiency","n/a","n/a","n/a","n/a","n/a"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",116,null,"One-year mortality after first pulmonary tumour diagnosis","Done and its further application is advised","n/a","Oncology: Effectiveness","n/a","n/a","n/a","n/a","n/a"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",125,null,"Rate of patients readmitted within 30 days of discharge from acute psychiatric/addictology ward","Done and its further application is advised","n/a","Psychiatry/addictology: Effectiveness","n/a","n/a","n/a","n/a","n/a"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",145,null,"Variation in use of prescription drugs for diabetes (age and sex standardized)",null,"n/a","allocative efficiency","n/a","n/a","n/a","n/a","n/a"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",148,null,"Rate of stroke patients receiving CT test on the day of acute hospital admission","Done, but the further application of the indicator is not advised, or only with precautions","n/a","Cardiology/stroke: Appropriateness","n/a","n/a","n/a","n/a","n/a"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",148,null,"Use of PCI on the first day of admission among those who received PCI",null,"n/a","Cardiology/stroke: Timeliness","n/a","n/a","n/a","n/a","n/a"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",148,null,"Appropriateness of the practice of care for patients who have undergone oncological surgery in the case of colorectal tumour","Done, but the further application of the indicator is not advised, or only with precautions","n/a","Oncology: Appropriateness","n/a","n/a","n/a","n/a","n/a"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",150,null,"Rate of patients discharged from acute psychiatric/addictology ward within a week","Done and its further application is advised","n/a","Psychiatry/addictology: Appropriateness","n/a","n/a","n/a","n/a","n/a"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",250,null,"Infant deaths per 1,000 live births",null,"n/a","n/a","n/a","WHO","n/a","n/a","n/a"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",251,null,"Perinatal deaths per 1,000 births",null,"n/a","n/a","n/a","WHO","n/a","n/a","n/a"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",252,null,"Neonatal deaths per 1,000 live births",null,"n/a","n/a","n/a","WHO","n/a","n/a","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_cdeath_esms.htm"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",252,null,"Thirty-day mortality rate of very low birth weight (VLBW) live-borns\n Thirty-day mortality rate of premature newborns under 1500 g","Done and its further application is advised","n/a","Obstetrics/neonatology: Effectiveness","n/a","n/a","n/a","n/a","n/a"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",253,null,"Postneonatal deaths per 1,000 live births",null,"n/a","n/a","n/a","WHO","n/a","n/a","n/a"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",255,null,"Maternal deaths per 100,000 live births",null,"n/a","n/a","n/a","WHO","n/a","n/a","n/a"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",259,null,"age-standardized death rates appendicitis (0-64 years, per 10,000 inhabitants)","Appendicitis, all ages, per 100 000, (age-standardized death rate)","n/a","Crude indicators of quality in acute inpatient care","n/a","n/a","n/a","http://portal.euro.who.int/en/indicators/hfa-indicators/hfa_552-6452-sdr-appendicitis-all-ages-per-100-000-females/","n/a"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",259,null,"age-standardized death rates hernia (0-64 years, per 10,000 inhabitants)","Hernia and intestinal obstruction, all ages, per 100 000 (age-standardized death rate)","n/a","Crude indicators of quality in acute inpatient care","n/a","n/a","n/a","http://portal.euro.who.int/en/indicators/hfa-indicators/hfa_556-6470-sdr-hernia-and-intestinal-obstruction-all-ages-per-100-000/","n/a"]
["E","30_Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",355,null,"Kakwani index",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Myocardial Infarction (MI): Volume of admissions","nA","nA","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"PCI for conditions other than myocardial infarction (MI)","nA","nA","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"STEMI: Volume of admissions","nA","nA","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"N-STEMI: Volume of admissions","nA","nA","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"MI unspecified site: Volume of admissions",null,"n/a","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"PCI: Volume of admissions with at least one PCI","nA","nA","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"aortic abdominal aneurysm unruptured: Volume of admissions",null,"n/a","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Aortic abdominal aneurysm ruptured: Volume of admissions",null,"n/a","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Coronary artery bypass graft (CABG): Volume of admissions","nA","nA","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Valvuloplasty: Volume of admissions","nA","nA","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Carotid revascularization: Volume of admissions",null,"n/a","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Carotid revascularization: stenting and angioplasty",null,"n/a","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Carotid revascularization: endarterectomy",null,"n/a","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Heart Failure: Volume of admissions","nA","nA","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Lower extremity revascularization: Volume of admissions",null,"n/a","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Ischemic stroke: Volume of admissions",null,"n/a","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Subarachnoid haemorrhage: Volume of admissions",null,"n/a","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Unruptured brain aneurysm : Volume of admissions",null,"n/a","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Ruptured brain aneurysm : Volume of admissions",null,"n/a","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"COPD: Volume of admissions",null,"n/a","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Cholecystectomy : Volume of admissions",null,"n/a","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Laparoscopic cholecystectomy  : Volume of admissions",null,"n/a","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Cholecystectomy  via laparotomy: Volume of admissions",null,"n/a","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Laparoscopic cholecystectomy in ordinary admission: Volume of admissions",null,"n/a","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Deliveries: Volume of admissions",null,"n/a","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Hip fracture: Volume of admissions",null,"n/a","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Tibia and Fibula Fracture: Volume of admissions",null,"n/a","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Knee arthroscopy: Volume of admissions",null,"n/a","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Surgical intervention for cancer of the lung: Volume of admissions",null,"n/a","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Surgical intervention for cancer of the stomach: Volume of admissions",null,"n/a","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Surgical intervention for cancer of the pancreas: Volume of admissions",null,"n/a","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Surgical intervention for cancer of the colon: Volume of admissions",null,"n/a","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Surgical intervention for cancer of the esophagus : Volume of admissions",null,"n/a","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Surgical intervention for cancer of the liver: Volume of admissions",null,"n/a","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Surgical intervention for cancer of the breast: Volume of admissions",null,"n/a","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Surgical intervention for cancer of the gallbladder: Volume of admissions",null,"n/a","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Surgical intervention for cancer of the prostate: Volume of admissions",null,"n/a","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Surgical intervention for cancer of the kidney: Volume of admissions",null,"n/a","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Surgical intervention for cancer of the bladder: Volume of admissions",null,"n/a","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Surgical intervention for cancer of the rectum: volume of interventions",null,"n/a","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Surgical intervention for cancer of the thyroid : Volume of admissions",null,"n/a","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Surgical intervention for cancer of the uterus: Volume of admissions",null,"n/a","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Surgical intervention for cancer of the brain: volume of craniotomy",null,"n/a","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Tonsillectomy: Volume of admissions",null,"n/a","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Hysterectomy: Volume of admissions",null,"n/a","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Prostatectomy: Volume of admissions",null,"n/a","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"AIDS: Volume of admissions",null,"n/a","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Hospitalization for influenza",null,"Numerator\n: ordinary admission\ns\nwith discharge \nbetween 1 January 2\n008 and 30 November 2013.\nAge: \n65\n+ years\nMain diagnosis (ICD 9CM codes\n) : \n487.0, 487.1,\n487.8\nExcluded\n: \n\nPatients transferred from other hospital \n\nDRG \n370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, \n387, 388, 389, 390\n\nPatients non\n-\nresident in Italy\nDenominator\n: \nresidents aged \n65\nor over \n(\nresident population 1 January \n2013)","hospitalizations","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Hospitalization for pediatric gastroenteritis","H\nospitalization \nrate \nfor \npediatric gastroenteritis \nby\narea\nof residence","Numerator\n: ordinary admission\ns\nwith discharge \nbetween 1 January 2\n008 and 30 November 2013.\nAge: \n0\n-\n17\nyears\nMain \ndiagnosis (ICD 9CM codes\n) : \n008.6_, 008.8, 009._, 5589\nExcluded\n: \n\nPatients transferred from other hospital \n\nDRG \n370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, \n387, 388, 389, 390\n\nPatients non\n-\nresident in Italy\nDenominator\n: \nresidents aged \n0\n-\n17\nyears\n(\nresident population 1 January \n2013)","hospitalizations","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Hospitalization for Asthma pediatric",null,"n/a","hospitalizations","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Hospitalization for Asthma in adults",null,"n/a","hospitalizations","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Hospitalization for Asthma in the elderly",null,"n/a","hospitalizations","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Hospitalization for uncontrolled diabetes  (without complications)",null,"n/a","hospitalizations","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Hospitalization for short-term complications of diabetes",null,"n/a","hospitalizations","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Hospitalization for long-term complications of diabetes",null,"n/a","hospitalizations","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Hospitalization for lower-extremity amputation in diabetic patients",null,"n/a","hospitalizations","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Hospitalization for COPD",null,"n/a","hospitalizations","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Hospitalization for urinary tract infections",null,"n/a","hospitalizations","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Hospitalization for Hypertension",null,"n/a","hospitalizations","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Hospitalization for heart failure",null,"n/a","hospitalizations","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Hospitalization for angina without procedure",null,"n/a","hospitalizations","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Hospitalization for short and long-term complications of diabetes",null,"n/a","hospitalizations","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Hospitalization for Cholecystectomy  in patients with uncomplicated cholelithiasis ",null,"n/a","hospitalizations","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Hospitalization for intervention of tonsillectomy",null,"n/a","hospitalizations","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Hospitalization for Vein stripping surgery",null,"n/a","hospitalizations","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Hospitalization for knee replacement surgery",null,"n/a","hospitalizations","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Hospitalization for PCI",null,"Numerator\n: \nplanned \nordinary admission\ns\nand day\n-\nhospital \nwith discharge \nbetween 1 January 2\n008 \nand 30 November 2013.\nAge: 18+ years\nMain \nand secondary diagnosis \n(ICD 9 CM code\ns\n): \n36.01, 36.02, 36.06, 36.07, 00.66\nExcluded\n: \n\nPatients transferred from other hospital \nor from the same hospital but with other type of \nadmission\n\nMDC \n14 and\n1\n5\n\nPatients non\n-\nresident in Italy\nDenominator\n: \nresidents aged 18 or over \n(\nresident population 1 January \n2013)","hospitalizations","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Planned admission for  transurethral prostatectomy for benign prostatic hyperplasia",null,"n/a","hospitalizations","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Planned admission for intervention of hysterectomy",null,"n/a","hospitalizations","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Hospitalization for hip fracture in elderly patients",null,"n/a","hospitalizations","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",52,null,"Vaginal delivery:admissions during puerperium",null,"n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",54,null,"Cholecystectomy  in ordinary admission/day surgery: proportion of laparoscopic cholecystectomy",null,"n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",54,null,"Laparoscopic cholecystectomy: proportion of day-surgery admissions",null,"n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",54,null,"Laparoscopic cholecystectomy in  day surgery: Volume of admissions",null,"n/a","frequencies/volumes","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",68,null,"Cholecystectomy  in ordinary admission: proportion of laparoscopic cholecystectomy",null,"n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",68,null,"Laparoscopic cholecystectomy: proportion of ordinary admissions with length of stay less than 3 days after surgery ",null,"n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",69,null,"Proportion of primary cesarean sections",null,"n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",69,null,"Cesarean delivery:admissions during puerperium",null,"n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",112,null,"COPD acute exacerbation: 30-day mortality",null,"n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",112,null,"Hip fracture: 30-day mortality",null,"n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",112,null,"Chronic kidney disease : 30-day mortality from admission",null,"n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",112,null,"Myocardial Infarction (MI): 30-day mortality",null,"n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",112,null,"Myocardial Infarction (MI) without PCI: 30-day mortality",null,"n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",112,null,"Myocardial Infarction (MI) with PCI within 2 days: 30-day mortality",null,"n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",112,null,"PCI after 2 days from the admission for MI: 30-day mortality",null,"n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",112,null,"STEMI: 30-day crude mortality ","P\nroportion of \nmajor adverse ca\nrdiovascular and cerebrovascular\nevents\n(MACCE)\nwithin \n1 year\nafter \nthe hospitalization\nfor \nan\nepisode of AMI \nby admitting hospital or area of residence","n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",112,null,"N-STEMI: 30-day crude mortality ","Proportion of episodes of STEMI (ST segment elevation myocardial infarctions) treated with PCI within 48 hours. by admitting hospital or by area of residence","n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",112,null,"Coronary artery bypass graft (CABG): 30-day mortality","Proportion of episodes of NO STEMI (NO ST segment elevation myocardial infarction) treated with PCI within 48 hours by admitting hospital or by area of residence ","n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",112,null,"Valvuloplasty: 30-day mortality","Analysis by admitting hospital or by area of residence:  \nproportion of deaths within 30 days after \nan \nintervention of isolated C\noronary artery bypass grafting (CABG) ","n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",112,null,"Heart Failure: 30-day mortality","Analysis by admitting hospital or by area of residence:  \nproportion of deaths within 30 days after \nan \nintervention of \nisolated valvuloplasty\nor isolated heart valve replacement. ","Numerator\nNumber of hospitalizations with isolated \nvalvuloplasty\nor\nisolated \nheart valve replacement\nin which \ndeath occurred within 30 days of the procedure. \nV\nalvuloplasty or heart valve replacement \nare\ndefined as isolated when \nthey are\nnot associated with \nby\n-\npass surgery, \nwith \nendarterectomy\nand \nother heart and aortic interventions.\n-\nDenominator\nN\number of hospitalizations with \nisolated valvuloplasty or isolated heart valve replacement","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",112,null,"Intervention for unruptured  aortic abdominal aneurysm: 30-day mortality",null,"n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",112,null,"Non-variceal upper gastrointestinal haemorrhage: 30-day mortality",null,"n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",112,null,"Ischemic stroke: 30-day mortality",null,"n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",114,null,"Hip fracture: surgery within 2 days",null,"n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",114,null,"Hip fracture: wait time (in days) for surgery",null,"n/a","waiting times","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",114,null,"Tibia and Fibula Fracture: waiting time for surgery",null,"n/a","waiting times","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",116,null,"Myocardial Infarction (MI): 1 year mortality","Proportion of readmissions within 2 days after the hospitalization for an episode of AMI by admitting hospital or by area of residence","n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",116,null,"Myocardial Infarction (MI): 1 year MACCE","P\nroportion of \npatients\nwith an episode of AMI who die \nwithin \n1 year\nafter \nthe hospitalization\nfor \nthe\nepisode of AMI \nby admitting hospital or area of residence","n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",116,null,"Surgical intervention for cancer of the stomach: 30-day mortality",null,"n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",116,null,"Surgical intervention for cancer of the colon: 30-day mortality",null,"n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",116,null,"Surgical intervention for cancer of the rectum: 30-day mortality",null,"n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",116,null,"Surgical intervention for cancer of the colon: proportion of laparoscopic interventions",null,"n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",116,null,"Surgical intervention for cancer of the rectum: proportion of laparoscopic interventions",null,"n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",116,null,"Surgical intervention for cancer of the lung: 30-day mortality",null,"n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",116,null,"Surgical intervention for cancer of the prostate: readmissions within 30 days",null,"n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",116,null,"Surgical intervention for cancer of the kidney: 30-day mortality",null,"n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",116,null,"Surgical intervention for cancer of the pancreas: 30-day mortality",null,"n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",116,null,"Surgical intervention for cancer of the liver: 30-day mortality",null,"n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",116,null,"Surgical intervention for cancer of the brain: 30-day mortality after craniotomy",null,"n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",125,null,"Heart Failure: readmissions within 30 days",null,"n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",125,null,"Myocardial Infarction (MI): proportion of Admissions within 2 days",null,"n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",125,null,"Ischemic stroke: readmissions within 30 days",null,"n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",125,null,"COPD acute exacerbation: readmissions within 30 days",null,"n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",131,null,"Knee arthroplasty: other intervention within 6 months",null,"n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",148,null,"Myocardial Infarction (MI): proportion of treated with PCI within 2 days",null,"n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",148,null,"Myocardial Infarction (MI): proportion of treated with PCI in the index or in the following admissions within 7 days",null,"n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",148,null,"STEMI: crude proportion of treated with PCI within 2 days ","Proportion of deaths within 30 days after the hospitalization for an episode of NO  STEMI (NO ST segment elevation myocardial infarctions) by admitting hospital or area of residence","n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",148,null,"N-STEMI: crude proportion of treated with PCI within 2 days ","nA","nA","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",177,null,"Vaginal delivery: proportion of complications during the delivery and puerperium (admitting hospital )",null,"n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",177,null,"Cesarean delivery: complications during the delivery and puerperium (admitting hospital )",null,"n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",179,null,"Laparoscopic cholecystectomy   in ordinary admission: complications within 30 days",null,"n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","31_National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",179,null,"Laparoscopic cholecystectomy   in ordinary admission: other intervention within 30 days",null,"n/a","mortality-procedures","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",116,1,"5 year Cancer Survival Rates (breast, colorectal, prostate, lung, cervical)","‘The relative survival rate for cancer that is the proportion of patients who survive at least five years after diagnosis, after correction for background mortality’","Relative survival rate is calculated as the observed rate of persons diagnosed with cancer surviving five years after diagnosis, divided by expected survival rate in the general population","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",101,2,"Response rate to screening programmes (eg. Breast cancer screening, colorectal, [cervical] screening)","Proportion of women (aged 50-69) reporting to have undergone a breast cancer screening test within the past two years","Percentage of women aged 50-69 reporting to have had a breast examination by X-ray (i.e. mammography) within the past 2 years, derived from European Health Interview survey questions, PA.10 and PA.11: PA.10: Have you ever had a mammography, which is an X-ray of one or both of your breasts? Yes / No / Don’t know / Refusal; and PA.11: When was the last time you had a mammography (breast X-ray)? Within the past 12 months / More than 1 year, but not more than 2 years / More than 2 years, but not more than 3 years / Not within the past 3 years / Don’t know / Refusal’.","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",259,3,"Standardised mortality rates (all-cause, Cancers, cardiovascular disease, diabetes [as primary or secondary], smoking related)","Deaths caused by specific diseases or disease groups per 100,000 inhabitants","Number of deaths per 100,000 inhabitants (age-standardized rates). The (age-) standardized death rate is a weighted average of age-specific mortality rates. The weighting factor is the age distribution of a standard reference population. Standardization is carried out through the direct method. The standard reference population used is the European standard population as defined by the World Health Organisation (WHO). The annual average population available in Eurostat's demography database is used to calculate the rates","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",255,4,"Maternal mortality ratio","The maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100, 000 live births.","‘The data are estimated with a regression model using information on the proportion of maternal deaths among non-AIDS deaths in women ages 15-49, fertility, birth attendants and gross domestic product’","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",247,5,"Standardised premature mortality rates (all-cause, cancers, cardiovascular disease, diabetes [as primary or secondary], smoking related)","This measure is used to assess the age-standardized rate of premature deaths per 100,000 population younger than 75 years","The numerator is the total number of deaths at age younger than 75 years and the denominator is the total mid-year population younger than age 75 years","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",280,6,"Standardised incidence rates of cancer (breast, colorectal, prostate, lung, cervical)","Total cancer incidence and incidence of the most important cancers, per 100,000 population, in a given year’.","Number of patients with newly diagnosed cancer during a given calendar year divided by person-years at risk, expressed per 100,000 population. The age standardize incidence rate is calculated","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",250,7,"Infant mortality rates by gestational age, birth weight, and plurality","The number of early neonatal deaths after live birth plus fetal deaths in a given year per 1000 live and stillbirths","The number of fetal deaths and deaths in the early neonatal period (up to 6 completed days after birth) after live birth, expressed per 1000 live and stillbirths in the same year. For international comparisons, it is recommended by the WHO that elements in both the nominator (fetal deaths and early neonatal deaths) and denominator (fetal deaths and live births) are restricted to fetuses and infants weighting 1000 grams or more","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",251,7,"Perinatal mortality rates by gestational age, birth weight, and plurality","The number of early neonatal deaths after live birth plus fetal deaths in a given year per 1000 live and stillbirths","The number of fetal deaths and deaths in the early neonatal period (up to 6 completed days after birth) after live birth, expressed per 1000 live and stillbirths in the same year. For international comparisons, it is recommended by the WHO that elements in both the nominator (fetal deaths and early neonatal deaths) and denominator (fetal deaths and live births) are restricted to fetuses and infants weighting 1000 grams or more","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",263,8,"Fatal accidents at the place of work/fatality rates - per economic sector","Incidence rates relate the number of accidents to the reference population of persons in employment (persons exposed to the risk of accident at work). A fatal accident is defined as an accident, which leads to the death of a victim within one year of the accident. The incidence rate as defined by the European Statistics on Accidents at Work methodology is the number of accidents at work per 100 000 persons in employment. From an epidemiological point of view an incidence rate should relate the number of accidents to the working hours of the reference population. This approach would describe more precisely the relevant exposure as time under risk and therefore adjust for differences, e.g. with regard to different working hours or differences with regard to part-time employment’.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",254,9,"Child mortality rate (1-14 years) per 100,000 population","Number of deaths per 1000 live births until 5 years of age or Probability of dying before 5 years per 1000 live births","Number of deaths age 1-14 years divided by population in that age group per 100,000 population’.","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",58,10,"Acute hospital bed-occupancy rates by sector","The occupancy rate is calculated as the number of beds effectively occupied (bed-days) for curative care divided by the number of beds available for curative care multiplied by 365 days, with the ratio multiplied by 100. Occupancy rate = Total number of bed-days during the year / (Number of beds available * 365 days) * 100","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",267,11,"Incidence rate of AIDS per 100,000 populations","‘Incidence of AIDS cases, in a given calendar year, per 100,000 population","The rates are calculated as the number of newly diagnosed cases per 100,000 population, based on the number of cases reported by national surveillance systems to the joint WHO-Euro/ECDC database for AIDS surveillance in The European Surveillance System (TESSy). A case of AIDS is defined following the European AIDS surveillance case definitions’.","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",180,12,"Incidence of MRSA Hospital Acquired Infection/1000 admissions","An infection is considered an HAI if all elements of a CDC/NHSN (Centers for Disease Control and Prevention/National Healthcare Safety Networks) site-specific infection criterion were first present together on or after the 3rd hospital day (day of hospital admission is day 1). For an HAI, an element of the infection criterion may be present during the first 2 hospital days as long as it is also present on or after day 3. All elements used to meet the infection criterion must occur within a timeframe that does not exceed a gap of 1 calendar day between elements’","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",65,13,"Percentage of self-referrals to A&E","nA","nA","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",20,14,"Waiting times for appointment at Out-patient Clinics (from date of request)","nA","nA","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",55,15,"Hospital average length of stay (acute, mental and rehabilitation hospitals)","The average length of stay (ALOS) in days in a hospital per discharged in-patient, i.e. average duration of a single episode of hospitalization","ALOS is computed by dividing the total number of in-patent hospital days, in all hospitals, counted from the date of admission to the date of discharge by the total number of discharges (including deaths) in all hospitals during a given year. A hospital day (or bed-day or in-patient day) is a day, during which a person admitted as an in-patient, is confined to a bed and stays overnight in a hospital. Day-cases (patients formally admitted for a medical procedure or surgery in the morning and discharged before the evening) are excluded. Patients admitted with the intention of discharge on the same day, but who subsequently stay in hospital overnight, are included’.","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",98,16,"Percentage of infants fully vaccinated against pertussis, diphtheria, tetanus and polio by 1st bday, against MMR by 2nd birthday","‘Percentage of infants who have been fully vaccinated against important infectious childhood diseases","Percentage of infants reaching their 1st birthday in the given calendar year who have been fully vaccinated, according to national vaccination schemes, against pertussis, diphtheria, tetanus and poliomyelitis, and percentage of infants reaching their 2nd birthday in the given calendar year who have been fully vaccinated against measles, mumps and rubella’.","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",268,17,"TB incidence and multi-drug resistant case notification rates","‘Number of newly diagnosed tuberculosis cases, all forms (ICD-9:010-018; ICD-10: A15-A19) during the given calendar year. The definition has been modified in June 2001 version of Health for All Database. Now, relapses are included in the incidence figures (before relapses were excluded)’.\n","The incidence of a disease per year is calculated as the total number of reported new cases of the disease in a specific year divided by the population of the country in question in the same year, expressed per 100 000 population.","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",125,18,"Hospital readmissions rates by speciality (eg. Psychiatric, medical)","The 30‐day readmission rate is defined as: the number of stays with at least one subsequent hospital stay within 30 days/ the total number of hospital stays between January and November. That is, when a patient is discharged from the hospital (the index stay), they are followed for 30 days in the data. If any readmission to the same or a different hospital occurs during this 30‐day time period, the index stay is counted as having a readmission. No more than one readmission is counted within the 30‐day period since the outcome measure assessed here is \"percentage of admissions with a readmission’. \n‘A readmission is a subsequent hospital admission in the same or a different hospital within 30 days following an original admission (or index stay). The discharge date for the index stay must occur between January and November to allow a 30‐day follow‐up period for all index stays. This approach captures an index stay with a discharge date in November and a readmission in December’","nA","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",112,19,"30-day in-hospital mortality rate for specific clinical conditions (eg. MI, stroke, hip fracture)","‘Admission-based AMI and ischemic stroke 30-day in-hospital (same hospital) mortality rate. This indicator is defined as the age-sex standardised percentage of people aged 45+ who die within 30 days of being admitted to a hospital in a specified year with principal diagnosis of: a) acute myocardial infarction (AMI) or b) ischemic stroke’.","‘Numerator: the number of deaths in the same hospital that occurred within 30 days of hospital admission with a principal diagnosis of AMI / ischemic stroke in a specified year. Denominator: the number of patients admitted to a hospital with a principal diagnosis of AMI / ischemic stroke in a specified year, including same day admissions. AMI diagnostic codes: ICD-10: I21, I22; ICD-9: 410. Ischemic stroke diagnostic codes: ICD-10: I63-I64; ICD-9: 433, 434, 436. The indicator is age-sex standardized according to 2005 OECD population (45+). Therefore 5-year age specific numerators and denominators are needed, separate for men and women: 45-49, 50-54…85+’.","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",46,20,"Number of hospital beds (acute, palliative, rehabilitation, Long-term care, dementia) per 100,000 population","Number of hospital beds per 100,000 inhabitants","The total number of hospital beds in a given calendar year by 31 December divided by the end of year population expressed per 100,000 inhabitants. Total hospital beds are all hospital beds which are regularly maintained and staffed and immediately available for the care of admitted patients. Both occupied and unoccupied beds in general hospitals, mental health and substance abuse hospitals and other specialty hospitals are included","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",282,21,"Annual Incidence of Type 1 Diabetes in children between 0-14 years of age at diagnosis (clinical) per 100,000 children","Number of children between 0 – 14 years of age with newly diagnosed type 1 diabetes during a given calendar year","The rates are calculated as the number of newly diagnosed cases per 100,000 population","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",299,22,"Prevalence of smoking in Males and Females >15yrs - ?inequalities","Percentage of regular daily smokers in the population, age 15+","This indicator is measured using the standard questionnaire during a health interview of a representative sample of the population aged 15 years and above. Many countries are carrying out such health interview surveys on a more or less regular basis. However, most of the data are collected from multiple sources by the Tobacco or Health unit at WHO/EURO","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",26,23,"Waiting times for admission to public rehabilitation facility and to public long-term care facility","Waiting times for admission to public rehabilitation facility\n‘The denominator is the total number of patients referred for rehabilitation in a year under review who are accepted for a period of rehabilitation at RHKG. The numerator is the total number of patients actually transferred for rehabilitation at RHKG during the year under review.\nThe median waiting time is from date of referral to date of transfer.\nExclusion criteria: deceased patients while waiting and discharged patients while waiting.’\nWaiting times for admission to public long-term care facility\n‘The denominator is the total number of patients applying for government long term care during the year under review. The numerator is the total number of patients admitted to government long term care within 18 months from the date of application.\nThe median waiting time is from date of application of long term care to date of admission.\nExclusion criteria: deceased patients while waiting and patients withdrawing their application’.","nA","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",50,24,"Availability of diagnostic and therapeutic infrastructure (MRI, CT etc)","1) Number of Computer tomography scanners (CT units) per 100,000 inhabitants.\n2) Number of Magnetic resonance imaging units (MRI units) per 100,000 inhabitants","1) The total number of computer tomography scanners (CT units) in hospitals and ambulatory sector registered by 31 December in a given calendar year, per 100,000 inhabitants (end of year population).\n2) The total number of magnetic resonance imaging units (MRI units) in hospitals and ambulatory sector by 31 December in a given calendar year, per 100,000 inhabitants (end of year population).","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",124,25,"Complications of diabetes - annual incidence rates of stroke, myocardial infarction, dialysis and/or renal transplantation in patients with diabetes","Annual incidence rate by age category of diabetic patients with stroke: ‘Number of patients discharged from Mater Dei Hospital in 2013 with a recorded primary discharge diagnosis of Stroke (Codes: I63.x and I64.x) on the Electronic Case Summary database and who were alive and on the POYC diabetes register in May 2014, per 100,000 diabetic population’\nAnnual incidence rate by age category of diabetic patients with myocardial infarction: ‘Number of patients discharged from Mater Dei Hospital in 2013 with a recorded primary discharge diagnosis of myocardial infarction (Code: I21.x) on the Electronic Case Summary database and who were alive and on the POYC diabetes register in May 2014, per 100,000 diabetic population’\nAnnual incidence rate by age category of diabetic patients with renal dialysis: ‘Number of patients admitted to the Renal Unit to start renal replacement therapy in 2013 and who were alive and on the POYC diabetes register in May 2014, per 100,000 diabetic population’\nAnnual incidence rate by age category of diabetic patients with renal transplant:\n‘Number of patients with recorded renal transplantation (Code: 55.69) performed at Mater Dei Hospital in 2013 and who were alive and on the POYC diabetes register in May 2014, per 100,000 diabetic population’","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",228,26,"Ratio of discharges from public acute hospital to community care to discharges to long-term care facilities in the elderly population","Number of patients over 75 years of age who are discharged to their residence as compared to the number of patients over 75 years who are discharged to a long term residential or nursing facility.","Ratio or percentage of patients over 75 years of age who are discharged to their residence as compared to patients over 75 years who are discharged to a long term residential or nursing facility.","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",281,27,"Prevalence of adults with diabetes, hypertension, hypercholesterolemia by age and gender","Diabetes\nDefinition: ‘Number of individuals that have ever been diagnosed with diabetes and that have been affected by this condition during the past 12 months. Expressed per 100,000 and as percentage of total population’.\nHypertension\nDefinition: ‘Proportion of individuals reporting to have been diagnosed with high blood pressure which occurred during the past 12 months’.\nHypercholesterolaemia*\nDefinition: Proportion of individuals reporting to have been diagnosed with hypercholesterolaemia which occurred during the past 12 months.","Diabetes: National best estimate of number of individuals that have ever been diagnosed with diabetes and that have been affected by this condition during the past 12 months (ICD-10 codes E10-E14; includes both diabetes mellitus type 1 and type 2 and other diabetes mellitus). Age standardization should be done for men and women separately, according to the direct method, using the 1976 WHO European population as standard population\nHypertension: Proportion of individuals reporting to have been diagnosed with high blood pressure (hypertension) which occurred during the past 12 months, derived from European Health Interview Survey (EHIS) questions HS.4/5/6: HS.4: Do you have or have you ever had any of the following diseases or conditions? High blood pressure (hypertension) (yes / no). If yes: HS.5: Was this disease/condition diagnosed by a medical doctor? (yes / no). HS.6: Have you had this disease/condition in the past 12 months? (yes / no)’\nHypercholesterolaemia: Proportion of individuals reporting to have been diagnosed with hypercholesterolaemia which occurred during the past 12 month. ","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",122,28,"Avoidable hospital admission rate for specific diseases (Asthma, diabetes, congestive heart failure, COPD)","Definition and calculation: The avoidable hospital admission rates for asthma and Chronic Obstructive Pulmonary Disease ‘are defined as the number of hospital discharges of people aged 15 years and over per 100 000 population. \nThe indicator for diabetes is based on the sum of three indicators: admissions for short-term and long-term complications and for uncontrolled diabetes without complications’","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",21,30,"Waiting times for out-patient based investigations (Angiograms, MRI, ultrasound, CT scan), interventions (total knee replacement, total hip replacement, cataracts, varicose veins, inguinal hernias, chemotherapy, radiotherapy)","Average inpatient waiting time for elective (i.e. non-urgent) surgeries of Percutaneous Transluminal Coronary Angioplasty (PTCA), hip replacement and cataract operation, measured in number of days. Elective surgery is defined as when surgery is necessary, but the timing of the procedure can be scheduled and the patient can be sent home","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",267,31,"Incidence rate of HIV per 100,000 population","Incidence of HIV-infected and in a given calendar year, per 100,000 population","The rates are calculated as the number of newly diagnosed cases per 100,000 population, based on the number of cases reported by national surveillance systems to the joint WHO-Euro/ECDC database for surveillance in The European Surveillance System (TESS). A case of HIV infection is defined following the European HIV surveillance case definitions’","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",267,31,"Incidence rate of Hepatitis B per 100,000 population","Incidence of HIV-infected and in a given calendar year, per 100,000 population","The rates are calculated as the number of newly diagnosed cases per 100,000 population, based on the number of cases reported by national surveillance systems to the joint WHO-Euro/ECDC database for surveillance in The European Surveillance System (TESS). A case of HIV infection is defined following the European HIV surveillance case definitions’","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",98,32,"Number of vaccine preventable diseases covered by the national vaccination programme","Number of vaccines on the national vaccination programme that prevent preventable diseases","Count of types of vaccines","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",305,33,"Percentage overweight and obesity from Self-reported BMI by age group (over 15yr olds)","Proportion of adult persons (18+) who are obese, i.e. whose body mass index (BMI) is ≥ 30 kg/m².","Body mass index (BMI), or Quetelet index, is defined as the individual’s body weight (in kilograms) divided by the square of their height (in metres). Weight and height derived from European Health Interview Survey (EHIS) questions BMI01: How tall are you? (cm), and BMI02: How much do you weight without clothes and shoes? (kg)","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",87,34,"Percentage of Health Budget allocated to Public Health including preventive services","Percentage of government budget on health that is allocated to public health activities as compared to the overall health budget.","Ratio of government expenditure on public health activities over total government health expenditure.","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",75,35,"Health expenditure as a % of GDP/per capita [pps]","Current and total national health expenditure for total, public, and private sectors, as percentage of gross domestic product (GDP), and expressed in millions of Purchasing Power Standard (PPS). \n‘Total expenditure on health measures the final consumption of health goods and services (i.e. current health expenditure) plus capital investment in health care infrastructure. This includes spending by both public and private sources on medical services and goods, public health and prevention programmes and administration. To compare spending levels between countries, per capita health expenditures are converted to a common currency (US dollar) and adjusted to take account of the different purchasing power of the national currencies, in order to compare spending levels’.","According to System of Health Accounts (SHA) and the related International Classification for the Health Accounts (ICHA) current expenditure on health care measures/describes financial means/ flows associated with (the consumption of) health care goods and services including governance and administration of health care system at large. Total expenditures also include investments (capital formation of health care providers). The calculation of Purchasing Power Parities (PPP)/PPS is based on the prices for a standard basket of goods","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",75,35,"Health expenditure as a % of GDP/per capita [pps]","Current and total national health expenditure for total, public, and private sectors, as percentage of gross domestic product (GDP), and expressed in millions of Purchasing Power Standard (PPS). \n‘Total expenditure on health measures the final consumption of health goods and services (i.e. current health expenditure) plus capital investment in health care infrastructure. This includes spending by both public and private sources on medical services and goods, public health and prevention programmes and administration. To compare spending levels between countries, per capita health expenditures are converted to a common currency (US dollar) and adjusted to take account of the different purchasing power of the national currencies, in order to compare spending levels’.","According to System of Health Accounts (SHA) and the related International Classification for the Health Accounts (ICHA) current expenditure on health care measures/describes financial means/ flows associated with (the consumption of) health care goods and services including governance and administration of health care system at large. Total expenditures also include investments (capital formation of health care providers). The calculation of Purchasing Power Parities (PPP)/PPS is based on the prices for a standard basket of goods","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",77,36,"General Government Health Expenditure as a % of Total Government Expenditure and % of Total Health Expenditure","General Government Health Expenditure as a percentage of Total Health Expenditure\n‘Public health expenditure consists of recurrent and capital spending from government (central and local) budgets, external borrowings and grants (including donations from international agencies and nongovernmental organizations), and social (or compulsory) health insurance funds. Total health expenditure is the sum of public and private health expenditure. It covers the provision of health services (preventive and curative), family planning activities, nutrition activities, and emergency aid designated for health but does not include provision of water and sanitation’.27\nPublic-sector expenditure on health as % of GDP, WHO estimates\nPublic sector (or general government) expenditure on health is the sum of outlays for health maintenance, restoration or enhancement paid for in cash or in kind by government entities, such as the Ministry of Health, other ministries, parastatal organizations, social security agencies, (without double-counting the government transfers to social security and to extra-budgetary funds). Includes transfer payments to households to offset medical care costs and extra-budgetary funds to finance health. The revenue base of these entities may comprise multiple sources, including external funds. Estimates for this indicator were produced by WHO. The estimates are, to the greatest extent possible, based on the National Health Accounts classification (see the World Health Report 2006 for details). The sources include both nationally reported data and estimates from international organisations like IMF, WB, UN and OECD. Therefore they may somewhat differ from official national statistics reported by countries.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",244,37,"Life expectancy and healthy life expectancy at birth and over 65","‘Life expectancy at a given age represents the average number of years of life remaining if a group of persons at that age were to experience the mortality rates for a particular year over the course of their remaining life. Life expectancy at birth is a summary measure of the age-specific all cause mortality rates in an area in a given period’. \nThe Healthy Life Years (HLY) indicator (also called disability-free life expectancy) measures the number of remaining years that a person of a certain age is still supposed to live without disability’.","Life expectancies are calculated using (abridged) life tables presenting age specific mortality rates. Life expectancy tables are calculated based on death probabilities according to Farr's death rate method:\nqx = Mx / (Bx + (Mx/2))\nwhere\n Mx = the number of deaths at the age of x to under x+1 years in the reported period\n Bx = average population aged x to under x+1 in the base period\n qx = death probability from age x to x+1\nFarr's method of calculation of abridged life-tables assumes that there is a constant mortality within the age intervals and thus the years of life lived by a person dying in the interval is (on average) half of the length of the interval’.\n‘The indicator is calculated following the Sullivan method’ Further information can be found at http://www.ehemu.eu/pdf/Sullivan_guide_final_jun2007.pdf’","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",247,38,"Potential Years Life Lost","‘Potential Years of Life Lost (PYLL) is a summary measure of premature mortality which provides an explicit way of weighting deaths occurring at younger ages, which are, a priori, preventable’.","‘The calculation of PYLL involves summing up deaths occurring at each age and multiplying this with the number of remaining years to live up to a selected age limit’","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",258,38,"Amenable mortality","‘Potential Years of Life Lost (PYLL) is a summary measure of premature mortality which provides an explicit way of weighting deaths occurring at younger ages, which are, a priori, preventable’.","‘The calculation of PYLL involves summing up deaths occurring at each age and multiplying this with the number of remaining years to live up to a selected age limit’","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",91,39,"Public expenditure as % of GDP for hospitals; ambulatory services; and long term care","nA","nA","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",54,40,"Day case discharges as a % of total discharges","Hospital day-cases, for specific ICD-10 diagnosis groups, divided by the sum of number of inpatient discharges and the number of day-cases for the same diagnosis group","The indicator is calculated as the total number of hospital day-cases from all hospitals during the given calendar year, divided by the sum of the number of hospital in-patient discharges from all hospitals and the number of hospital day-cases from all hospitals, for each of the diagnosis groups, during the given calendar year","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",41,41,"Numbers and ratios of all practicing doctors, GPs, specialists, and nurses & midwives per 100,000 inhabitants (GPs : specialists, nurses : physicians)","All practicing doctors: The total number of practicing physicians (medical doctors) per 100,000 inhabitants. \nPracticing nurses: The total number of practising nursing and caring professionals by 31 December of a given calendar year, per 100,000 inhabitants (end of year population). Practicing nurses provide services directly to patients. Practising nurses include professional nurses, associate professional nurses and foreign nurses licensed to practice and actively practicing in the country. ","All practicing doctors: The total number of practicing physicians (medical doctors) by 31 December of a given calendar year, per 100,000 inhabitants (end of year population). Practicing physicians provide services directly to patients. \nPracticing nurses: The total number of practicing nursing and caring professionals by 31 December of a given calendar year, per 100,000 inhabitants (end of year population). Practicing nursing and caring professionals provide services directly to patients. Nursing and caring professionals include midwives, qualified nurses, associate nurses and caring personnel (e.g. nursing aids, assistants). A nurse is a person who has completed a programme of basic nursing education and is qualified and authorised in his/her country to practice nursing in all settings. ","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",59,43,"GP Contacts per capita","Mean number of self-reported visits to general practitioner per person per year","Mean number of visits to general practitioner per person per year, derived from EHIS questions HC10 and HC11. HC10: When was the last time you consulted a GP (general practitioner) or family doctor on your own behalf? (1) Less than 12 months ago /2) 12 months ago or longer / 3) Never) If HC10 is 1) HC11: During the past four weeks ending yesterday, that is since (date), how many times did you consult a GP (general practitioner) or family doctor on your own behalf? (number of times). Total number of contacts reported under HC11 is extrapolated from 4 to 52 weeks, and divided by the total number of respondents in the sample.","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",86,44,"Public outpatient pharmaceuticals as a % of GDP","Pharmaceutical expenditure covers spending on prescription medicines and self-medication, often referred to as over-the-counter products. In some countries, the data also include other medical non-durable goods (adding approximately 5% to the spending). The expenditure also includes pharmacists’ remuneration when the latter is separate from the price of medicines. Pharmaceuticals consumed in hospitals are excluded (their inclusion would add another 15% to pharmaceutical spending approximately). Final expenditure on pharmaceuticals includes wholesale and retail margins and value-added tax","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",220,45,"Generic share of pharmaceuticals in value/volume (public)","‘A generic is defined as a pharmaceutical product which has the same qualitative and quantitative composition in active substances and the same pharmaceutical form as the reference product, and whose bioequivalence with the reference product has been demonstrated. Generics can be classified in branded generics (generics with a specific trade name) and unbranded generics (which use the international non-proprietary name and the name of the company)’.","Value: ‘Data are collected as a share expressed in value. Values can for instance be the turnover of pharmaceutical companies, the amount paid for pharmaceuticals by third-party payers, or the amount paid by all payers (third-party and consumers). Market value are most often at ex-factory prices, while amounts paid by third-party payers (and consumers) are in general at retails prices’.\nVolume: ‘Data are collected as a share expressed in volume. Volumes can be expressed in DDDs or as a number of packages/boxes or standard units’","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",272,46,"Self-perceived general health (SILC) - income inequalities","Proportion of persons who assess their health to be (very) good","Proportion of persons who assess their health to be very good or good, based on EU-SILC question on self-perceived health (‘How is your health in general?’), which contains five answering categories; 1) very good, 2) good, 3) fair, 4) bad, 5) very bad. Numbers of people assessing their health as either very good or good should be added and divided by the total number of people who were interviewed.","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",2,47,"Unmet need (SILC) - income inequalities","The variables refer to the respondent's own assessment of whether he or she needed the respective type of examination or treatment, but did not have it and if so what was the main reason of not having it","The variables on unmet needs for health care targets two broad types of services: medical care and dental care. Eurostat currently disseminates the following indicators for unmet needs:  Self-reported unmet needs for medical examination for reasons of barriers of access  Self-reported unmet needs for medical examination by reason  Self-reported unmet needs for dental examination by reason All indicators are expressed as percentages within (or share of) the population and breakdowns are given by: sex, age, labour status, educational attainment level, and income quintile group. ","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",1,48,"% of population covered by public health insurance (tax-based, public health insurance and income tax, incl Social Security contribution schemes)","The proportion of the population covered by health insurance, taking into account both public and private insurance schemes","Public (government/social) health insurance coverage is the share of the population (%) eligible for a defined set of health care goods and services that are included in total public health expenditure. Private health insurance coverage is the share of the population (%) based on a head count of individuals covered by at least one private health insurance policy (including both individuals covered in their own name and dependents)","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",8,49,"Out of pocket health expenditure as % of Total Health Expenditure/private Health Expenditure","Out of pocket expenditure is any direct outlay by households, including gratuities and in-kind payments, to health practitioners and suppliers of pharmaceutical, therapeutic appliances and other goods and service whose primary intent is to contribute to the restoration or enhancement of the health status of individuals or population groups. It is a part of private expenditure’.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",100,50,"Influenza vaccine coverage in 65+","Proportion of elderly individuals reporting to have received one shot of influenza vaccine during the last 12 months","Percentage of persons aged 65 and older reporting to have been vaccinated against influenza (brand name of vaccine to be verified in each country) during the last 12 months, derived from EHIS questions PA.1, PA.2 and PA.3. PA.1: Have you ever been vaccinated against flu? 1. Yes / 2. No; PA.2: When were you last time vaccinated against flu? 1. Since the beginning of this year / 2. Last year /3. Before last year; PA.3: Can I just check, what month was that? Month (01-12).","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",302,51,"Frequency of population having 6 or more units of alcohol on one occasion","Proportion of individuals reporting to have had an average rate of consumption of more than 20 grams pure alcohol daily for women and more than 40 grams daily for men","Percentage of men/women having over the week on average ≥2 drinks/day (women) or ≥3 drinks/day (men), derived from EHIS question AL.2: How many drinks containing alcohol do you have each day in a typical week when you are drinking? Start with Monday and take one day at a time. Number of drinks of: Beer, Wine, Liqueur, Spirits, Other local alcoholic beverage","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",304,52,"Fruit and vegetable consumption (EHIS)","Proportion of people reporting to eat fruits (excluding juice) at least once a day. \nProportion of people reporting to eat vegetables (excluding potatoes and juice) at least once a day. ","Percentage of people reporting to eat fruits (excluding juice) at least once a day, derived from EHIS question FV.1. How often do you eat fruits (excluding juice)? 1. Twice or more a day / 2. Once a day / 3. Less than once a day but at least 4 times a week / 4. Less than 4 times a week, but at least once a week / 5. Less than once a week / 6. Never (answering categories 1 and 2 should be added for the calculation of this indicator).\nPercentage of people reporting to eat vegetables (excluding potatoes and juice) at least once a day, derived from EHIS question FV.2. How often do you eat vegetables or salad (excluding juice and potatoes)? 1. Twice or more a day / 2. Once a day / 3. Less than once a day but at least 4 times a week / 4. Less than 4 times a week, but at least once a week / 5. Less than once a week / 6. Never (answering categories 1 and 2 should be added for the calculation of this indicator).","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",306,53,"Percentage reporting >2.5 hours of physical activity per week - age/sex","Proportion of individuals reporting to perform a certain period of time of health enhancing physical activity on an average day/at least X times per week","EHIS instrument to measure the proportion of population performing moderate and vigorous physical activity (days and/or hours per week), derived from questions PE.16: During the past 7 days, a) days and time devoted to vigorous physical activities, b) days and time devoted to moderate physical activities, c) days and time spent walking.","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",227,55,"Share of population 65+/80+, old age dependency (65+/15-64)","The ratio between the total number of elderly persons of an age when they are generally economically inactive (aged 65 and over) and the number of persons of working age (from 15 to 64).\nNational annual estimates of the population can be based on data from the most recent census adjusted by the components of population change produced since the last census. The total population may comprise either all usual residents of the country (de jure population) or all persons present (de facto population) in the country at a given moment in time. Usual residents are those who have lived in their place of usual residence for a continuous period of at least 12 months before the reference date or those who arrived in their place of usual residence during the 12 months before the reference date with the intention of staying there for at least one year","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",354,56,"At risk of poverty or social exclusion","At risk of poverty refers to the share of persons with an income below the poverty line. Income inequality is defined by the ratio of total income received by 20% of the country’s population with the highest income to that received by 20% of the country’s population with the lowest income","Population at risk of poverty: Percentage of persons in the total population with an equivalised disposable income below the “national poverty line” (i.e. below 60% of the national median equivalised disposable income). Total population is all persons living in private household on the national territory. Total disposable income of a household is calculated by adding together the personal income received by all of the household members, plus income received at household level. Disposable household income includes all income from work, private income from investment and property, transfers between households and all social transfers received in cash including old-age pensions. Personal equivalised income is obtained by dividing the total household disposable income by the equivalised size of the household, using modified OECD scale: 1 for the first person aged 14 or more; 0.5 for any subsequent person aged 14 or more; and 0.3 for persons aged less then 14. Income inequality is calculated as the ratio of the sum of equivalised disposable income received by the 20% of the country’s population with the highest equivalised disposable income (top inter-quintile interval) to that received by the 20% of the country’s population with the lowest equivalised disposable income (lowest inter-quintile interval)","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",329,58,"% of population 25-64 with low educational attainment (ISCED 0-2)","Proportion (%) of population divided up into three classes of educational attainment (low, middle and high education). Attainment profiles are based on highest completed specified level of education","Percentage of total population in the 7 classes of ISCED (International Standard Classification of Education 1997), aggregated into three attainment groups comprising of: elementary and lower secondary education (ISCED level 0, 1 and 2), upper/post secondary (ISCED levels 3 and 4) and tertiary (ISCED levels 5 and 6)","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",114,60,"Hip fracture surgery initiated within 2 calendar days after admission to Mater Dei Hospital","Coverage: Patients aged 65 and older (5 year age group) admitted to the main public acute hospital in Malta\nNumerator: Number of patients as defined in the denominator who were surgically treated within 2 calendar days after admission.\nDenominator: Number of patients aged 65 years or older admitted to the hospital with a diagnosis of upper femur fracture who were surgically treated in the specified year [Hip fracture diagnostic codes: ICD-10 S72.0, S72.1, S72.2 or ICD-9 820].","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",214,61,"Proportion of population that accesses own health data on-line","Proportion of the population aged 14 and over that has successfully logged into online services that provide access to the person’s own health data","Number of persons successfully logging into the Government’s patient access portal (currently myHealth – www.mygov.mt) at least once during a calendar year, divided by the number of Maltese residents aged 14 and over","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","32_Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",73,62,"Rate per capita of prescriptions transacted on line","Number of prescriptions transacted online (“ePrescriptions”) during a calendar year, expressed as a rate per capita of the resident Maltese population","Number of completed ePrescription transactions during a calendar year, divided by the total number of Maltese residents","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",13,1,"Percentage of pregnant women that can reach the nearest midwife practice within 10 minutes",null,"n/a","Antenatal, perinatal and postpartum care - Accessibility","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",13,2,"Percentage of pregnant women that can reach a hospital maternity unit by car within 30 minutes",null,"n/a","Antenatal, perinatal and postpartum care - Accessibility","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",13,3,"Percentage of pregnant women that can be transported to a hospital maternity unit by ambulance within 45 minutes",null,"n/a","Antenatal, perinatal and postpartum care - Accessibility","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",102,4,"Percentages of pregnant women (all pregnant women and pregnant women from deprived areas) that have their first prenatal visit before 10 weeks of pregnancy",null,"n/a","Antenatal, perinatal and postpartum care - Quality: preventive care","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",300,5,"Percentage of women that smokes during pregnancy",null,"n/a","Antenatal, perinatal and postpartum care - Quality: preventive care","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",177,6,"Episiotomy rate among homebirths",null,"n/a","Antenatal, perinatal and postpartum care - Quality: midwifery","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",177,7,"Rate of perineal tears after vaginal birth without instrument",null,"n/a","Antenatal, perinatal and postpartum care - Quality: midwifery","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",249,8,"Percentage of live births at home with an Apgar score at 5 minutes of less than 7",null,"n/a","Antenatal, perinatal and postpartum care - Quality: midwifery","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",309,9,"Percentage of babies that is breast fed within 48 hours after birth",null,"n/a","Antenatal, perinatal and postpartum care - Quality: midwifery","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",177,11,"Episiotomy rate among spontaneous deliveries",null,"n/a","Antenatal, perinatal and postpartum care - Quality: secondary and tertiary obstetric care","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",177,12,"Episiotomy rate among instrumental deliveries",null,"n/a","Antenatal, perinatal and postpartum care - Quality: secondary and tertiary obstetric care","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",177,13,"Rate of perineal tears among instrumental vaginal deliveries",null,"n/a","Antenatal, perinatal and postpartum care - Quality: secondary and tertiary obstetric care","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",177,14,"Rate of perineal tears among unassisted vaginal deliveries",null,"n/a","Antenatal, perinatal and postpartum care - Quality: secondary and tertiary obstetric care","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",197,15,"Percentages of women who reported to have usually or always good experiences with maternity care",null,"n/a","Antenatal, perinatal and postpartum care - Quality: maternity care","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",251,16,"Foetal mortality rate per 1,000 live births and stillbirths",null,"n/a","Antenatal, perinatal and postpartum care - Quality: integrated care","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",252,17,"Neonatal mortality rate per 1,000 live births and stillbirths",null,"n/a","Antenatal, perinatal and postpartum care - Quality: integrated care","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",102,18,"Percentage of attended perinatal audits","check definition, I think it is care utilisation","n/a","Antenatal, perinatal and postpartum care - Quality: integrated care","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",89,20,"Total expenditure for midwifery",null,"n/a","Antenatal, perinatal and postpartum care - Costs","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",93,21,"Total expenditure for hospital obstetric care",null,"n/a","Antenatal, perinatal and postpartum care - Costs","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",90,22,"Total expenditure for maternity care",null,"n/a","Antenatal, perinatal and postpartum care - Costs","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",101,23,"Percentages of people in target groups that take part in organised population screening schemes",null,"n/a","Staying health - Quality","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",106,24,"Percentages of newborn infants with rare serious disorders that are detected in the neonatal blood spot programme",null,"n/a","Staying health - Quality","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",98,25,"Percentages of 2-year-old children not having received basic vaccinations and living in communities with below-target immunisation coverage rates (below the critical threshold for herd immunity)",null,"n/a","Staying health - Quality","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",270,26,"Yearly numbers of new bacterial meningitis cases",null,"n/a","Staying health - Quality","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",100,27,"Percentages of people in target groups of the National Influenza Prevention Programme that have received flu vaccinations",null,"n/a","Staying health - Quality","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",108,28,"Percentages of smokers visiting GPs who were given smoking cessation advice",null,"n/a","Staying health - Quality","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",null,29,"Percentages of people visiting paediatricians at child health centres who report good experiences with the available time, the explanations received and the opportunity to ask questions",null,"n/a","Staying health - Quality","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",87,30,"Percentage of total health expenditure devoted to prevention",null,"n/a","Staying health - Costs","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",87,31,"Per capita percentage of health expenditure devoted to preventive care",null,"n/a","Staying health - Costs","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",13,32,"Percentage of people living within 15 minutes’ reach of the nearest ambulance station",null,"n/a","Acute care - Accessibility","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",13,33,"Percentage of people who can be taken by ambulance to the nearest emergency department within 45 minutes",null,"n/a","Acute care - Accessibility","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",13,34,"Percentage of people living more than a 30-minute car journey from the nearest out-ofhours GP centre",null,"n/a","Acute care - Accessibility","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",13,35,"Percentage of people who can be reached within 30 minutes by a mobile medical team in the daytime hours",null,"n/a","Acute care - Accessibility","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",16,36,"Percentage of emergency ambulance callouts that arrive on the scene within the 15-minute standard",null,"n/a","Acute care - Quality","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",18,37,"Percentage of GP practices conforming to the practice standard of 30 seconds for emergency telephone calls",null,"n/a","Acute care - Quality","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",18,38,"Percentage of emergency calls to out-of-hours GP centres answered within the practice standard of 30 seconds",null,"n/a","Acute care - Quality","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",112,39,"Percentage of patients dying within 30 days of hospital admission for an acute myocardial infarction",null,"n/a","Acute care - Quality","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",112,40,"Percentages of patients dying within 30 days of hospital admission for ischaemic and haemorrhagic stroke",null,"n/a","Acute care - Quality","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",114,41,"Percentage of patients with hip fractures receiving surgery within 24 hours of presentation",null,"n/a","Acute care - Quality","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",197,42,"Percentages of people reporting good experiences with ambulance services and with emergency departments in terms of communication and information provision",null,"n/a","Acute care - Quality","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",87,43,"Costs of acute care (ambulance services, out-of-hours GP centres, emergency departments, major trauma centres)",null,"n/a","Acute care - Costs","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",null,44,"Nationwide variations in consultation fees charged by out-of-hours GP centres",null,"n/a","Acute care - Costs","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",1,45,"Percentage of people with health insurance who are six months or more in payment arrears",null,"n/a","Getting better: Non-acute curative health care - Accessibility: financial access","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",2,46,"Percentage of people who forego care due to costs",null,"n/a","Getting better: Non-acute curative health care - Accessibility: financial access","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",5,47,"Out-of-pocket health care expenses as percentage of disposable household income",null,"n/a","Getting better: Non-acute curative health care - Accessibility: financial access","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",13,48,"Percentages of people living more than a 10-minute car journey from nearest GP practice and nearest pharmacy",null,"n/a","Getting better: Non-acute curative health care - Accessibility: geographical access","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",13,49,"Percentage of people living more than a 30-minute car journey from nearest hospital",null,"n/a","Getting better: Non-acute curative health care - Accessibility: geographical access","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",18,50,"Percentage of GP practices not accessible by telephone within two minutes for non-urgent calls",null,"n/a","Getting better: Non-acute curative health care - Accessibility: timeliness","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",26,51,"Percentages of secondary care units with waiting times above Treek standards",null,"n/a","Getting better: Non-acute curative health care - Accessibility: timeliness","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",25,52,"Numbers of people awaiting donor organs","The numbers refer to people actively awaiting a transplant, who have been approved by a transplantation centre and who are ready to receive the transplant.","n/a","Getting better: Non-acute curative health care - Accessibility: timeliness","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",148,53,"Degrees of guideline adherence in GP prescribing behaviour on 20 indicators","check definition","n/a","Getting better: Non-acute curative health care - Quality: effectiveness","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",144,54,"Percentage of pharmacotherapy audit groups functioning at levels 3 and 4","check definition","n/a","Getting better: Non-acute curative health care - Quality: effectiveness","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",116,55,"Percentages of patients with breast, cervical or colorectal cancer still surviving 5 years later in relation to percentage of general population still surviving",null,"n/a","Getting better: Non-acute curative health care - Quality: effectiveness","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",122,56,"Numbers of hospital admissions per 100,000 population per year for conditions whose prevention and treatment is managed primarily by outpatient services",null,"n/a","Getting better: Non-acute curative health care - Quality: effectiveness","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",null,57,"Percentages of episodes of care in mental health services whose treatment effects were assessed in routine outcome monitoring (ROM)",null,"n/a","Getting better: Non-acute curative health care - Quality: effectiveness","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",150,58,"Percentage of short-term episodes of care in mental health services with positive treatment effects",null,"n/a","Getting better: Non-acute curative health care - Quality: effectiveness","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",153,59,"Percentages of patients perceiving problems with planning and coordination of health care","An international study asked patients who had received specialist or inpatient hospital care in the previous two years whether they experienced problems in the planning and coordination of the care. ","n/a","Getting better: Non-acute curative health care - Quality: effectiveness","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",179,60,"Percentages of patients experiencing an adverse event during hospitalisation",null,"n/a","Getting better: Non-acute curative health care - Quality: patient safety","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",183,61,"Percentages of patients experiencing an adverse event during hospitalisation","Adverse events (treatment-related harm) involving hospital inpatients. Most adverse events are probably attributable to actions, or failures to act, on the part of health care providers.","n/a","Getting better: Non-acute curative health care - Quality: patient safety","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",184,61,"Percentages of patients experiencing medical, medication or diagnostic errors","Errors had been made during treatment or care they received in the previous two years. Incidents included medical errors, errors in the prescribing or dispensing of medicines, errors in the conduct of medical examinations or testing, communication of erroneous test results and belated communication of abnormal test results.","n/a","Getting better: Non-acute curative health care - Quality: patient safety","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",112,62,"Hospital standardised mortality ratio (HSMR) of hospitalised patients",null,"n/a","Getting better: Non-acute curative health care - Quality: patient safety","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",180,63,"Number of health care infections among 100 hospitalised patients",null,"n/a","Getting better: Non-acute curative health care - Quality: patient safety","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",68,64,"Percentages of hospitals satisfying minimum volume standards for complex surgical interventions",null,"n/a","Getting better: Non-acute curative health care - Quality: patient safety","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",119,65,"Percentage of patients committing suicide while in mental health treatment",null,"n/a","Getting better: Non-acute curative health care - Quality: patient safety","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",120,66,"Numbers of coercive measures per 1000 psychiatric admissions","check definition","n/a","Getting better: Non-acute curative health care - Quality: patient safety","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",194,67,"Degree to which health care users report being able to ask questions of health care providers",null,"n/a","Getting better: Non-acute curative health care - Quality: client-centredness","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",191,68,"Degree to which health care users report polite treatment by health care providers",null,"n/a","Getting better: Non-acute curative health care - Quality: client-centredness","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",192,69,"Degree to which health care users report receiving understandable explanations from health care providers",null,"n/a","Getting better: Non-acute curative health care - Quality: client-centredness","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",192,70,"Degree to which health care users report receiving unambiguous information from health care providers",null,"n/a","Getting better: Non-acute curative health care - Quality: client-centredness","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",195,71,"Degree to which health care users report being engaged in decisions about treatment",null,"n/a","Getting better: Non-acute curative health care - Quality: client-centredness","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",191,72,"Degree to which health care users report having sufficient consultation time with health care providers",null,"n/a","Getting better: Non-acute curative health care - Quality: client-centredness","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",202,73,"Percentages of patients receiving discharge information at hospital discharge",null,"n/a","Getting better: Non-acute curative health care - Quality: client-centredness","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",197,74,"Percentages of clients receiving short-term outpatient mental health care who were satisfied with the planning and delivery of treatment",null,"n/a","Getting better: Non-acute curative health care - Quality: client-centredness","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",26,75,"Numbers of people involuntarily on waiting lists for long-term care longer than the permissible waiting times",null,"n/a","Living with long-term illness or functional limitations - Accessibility (and availability)","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",20,76,"Percentages of clients obtaining care within waiting times prescribed by Treek standards",null,"n/a","Living with long-term illness or functional limitations - Accessibility (and availability)","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",27,77,"Percentages of clients receiving home help services within one month of approval",null,"n/a","Living with long-term illness or functional limitations - Accessibility (and availability)","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",28,78,"Percentages of informal carers of people with dementia who receive timely psychosocial and practical support for their own needs",null,"n/a","Living with long-term illness or functional limitations - Accessibility (and availability)","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",225,79,"Numbers of multiple-bed rooms in residential and nursing homes",null,"n/a","Living with long-term illness or functional limitations - Quality","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",236,80,"Avoidable problems in clients in care homes and home care: pressure ulcers, malnutrition, malnutrition risks, falls, restraint use",null,"n/a","Living with long-term illness or functional limitations - Quality","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",216,81,"Percentages of professional care providers expressing satisfaction with the quality of care delivered by their organisation",null,"n/a","Living with long-term illness or functional limitations - Quality","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",217,82,"Percentages of professional care providers rating the quality of care delivered within their own unit or team as inadequate",null,"n/a","Living with long-term illness or functional limitations - Quality","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",218,83,"Percentages of professional care providers reporting that sufficient staff and qualified staff is available to ensure good-quality care",null,"n/a","Living with long-term illness or functional limitations - Quality","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",197,84,"Percentages of clients and their representatives reporting never, or only sometimes, having good experiences with the quality of the care received in the care home and home care sector, in terms of staff-client interaction, communication, engagement in decisions, professionalism, quality of meals and mealtime atmosphere (where appropriate)",null,"n/a","Living with long-term illness or functional limitations - Quality","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",197,85,"Degree to which clients in long-term mental health care report good experiences with the quality of the care",null,"n/a","Living with long-term illness or functional limitations - Quality","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",227,86,"Degree to which the quality of Dutch dementia care differs from that in other European countries",null,"n/a","Living with long-term illness or functional limitations - Quality","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",null,87,"Changes in perceived self-reliance and social participation after receipt of community support services under the Social Support Act (WMO)",null,"n/a","Living with long-term illness or functional limitations - Quality","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",240,88,"Percentages of informal carers reporting problems with their own social participation as a result of their care provision",null,"n/a","Living with long-term illness or functional limitations - Quality","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",84,99,"Trends in total Dutch long-term care insurance (AWBZ) expenditure",null,"n/a","Living with long-term illness or functional limitations - Costs","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",84,100,"Total AWBZ expenditure in 2013 by sector",null,"n/a","Living with long-term illness or functional limitations - Costs","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",84,101,"Per capita expenditure on long-term care in the Netherlands in comparison to other OECD countries",null,"n/a","Living with long-term illness or functional limitations - Costs","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",85,102,"Co-payments by clients receiving care funded by the AWBZ",null,"n/a","Living with long-term illness or functional limitations - Costs","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",85,103,"Expenditure under the Health Insurance Act (ZVW) and the AWBZ for people with multimorbidity or disability",null,"n/a","Living with long-term illness or functional limitations - Costs","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",85,104,"Mean AWBZ expenditure per insured person per region",null,"n/a","Living with long-term illness or functional limitations - Costs","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",85,105,"Mean WMO expenditure per resident per local authority",null,"n/a","Living with long-term illness or functional limitations - Costs","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",85,106,"Numbers of personal health budget holders and total expenditure on personal health budgets",null,"n/a","Living with long-term illness or functional limitations - Costs","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",48,107,"Numbers of palliative care facilities",null,"n/a","End-of-life care - Accessibility (and availability): palliative care","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",33,108,"Numbers of GPs with special interest in palliative care",null,"n/a","End-of-life care - Accessibility (and availability): palliative care","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",31,109,"Numbers of volunteers that provide palliative care",null,"n/a","End-of-life care - Accessibility (and availability): palliative care","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",29,110,"Number of consultation requests submitted to IKNL palliative care consultation teams",null,"n/a","End-of-life care - Accessibility (and availability): palliative care","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",29,111,"Waiting times for terminal palliative care","The number of people waiting for palliative care (AWBZ VV-10 care) in excess of the Treek standard of 6 weeks is very low. Waiting times for palliative care provided by volunteers are short","n/a","End-of-life care - Accessibility (and availability)","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",33,112,"Number of SCEN doctors",null,"n/a","End-of-life care - Accessibility (and availability): end-of-life decisions","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",170,112,"Numbers of patients with palliative sedation, according to SFK","Palliative sedation is the deliberate lowering of a patient’s level of consciousness in the last stages of life. Sedation may be administered either continuously or temporarily or intermittently and it may be superficial or deep. Requirements for continuous and deep sedation are that the patient is suffering unbearably from one or more untreatable diseases (refractory symptoms) and has a life expectancy of one to two weeks. Sedation can be continued until the moment of death.","n/a","End-of-life care - Accessibility (and availability): palliative care","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",171,114,"Number of notifications of euthanasia and assisted suicide","Euthanasia is defined as deliberately ending a person’s life at that person’s explicit request by a doctor administering lethal medication. A request for euthanasia does not need to be made in writing, but can also be made verbally. Assisted suicide differs from euthanasia in that the person self-administers medication that is prescribed by a doctor.","n/a","End-of-life care - Accessibility (and availability): end-of-life decisions","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",171,115,"Percentage of deaths due to intensification of pain and symptom relief",null,"n/a","End-of-life care - Accessibility (and availability): end-of-life decisions","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",175,116,"Percentage of deaths due to withholding life-sustaining treatment","When the quality of life of a patient is so poor and treatment is no longer effective or the side-effects of treatment are unacceptable, a doctor may decide not to start or discontinue life-sustaining treatment. Hastening the end of life may be the result.","n/a","End-of-life care - Accessibility (and availability): end-of-life decisions","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",49,117,"Number of high-care hospices with a quality accreditation",null,"n/a","End-of-life care - Quality: palliative care","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",169,118,"Percentage of patients who died at their place of preference",null,"n/a","End-of-life care - Quality: according to relatives","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",174,119,"Degree to which relatives report being treated well by care providers",null,"n/a","End-of-life care - Quality: according to relatives","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",174,120,"Degree to which relatives report care providers having discussed the end of life with patients and relatives and aftercare with relatives",null,"n/a","End-of-life care - Quality: according to relatives","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",174,121,"Degree to which relatives report having the opportunity to be alone with the patients",null,"n/a","End-of-life care - Quality: according to relatives","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",174,122,"Degree to which relatives report being supported by care providers after the death of the patients",null,"n/a","End-of-life care - Quality: according to relatives","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",174,123,"Percentage of hospital protocols for palliative sedation matching the Royal Dutch Medical Association (KNMG) guideline",null,"n/a","End-of-life care - Quality: palliative sedation","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",170,124,"Percentage of cases of continuous deep sedation with morphine alone",null,"n/a","End-of-life care - Quality: palliative sedation","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",170,125,"Percentage of cases of continuous deep sedation in which artificial hydration or nutrition is administered",null,"n/a","End-of-life care - Quality: palliative sedation","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",170,126,"Percentage of patients and relatives engaged in decisions about palliative sedation",null,"n/a","End-of-life care - Quality: palliative sedation","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",171,127,"Percentage of cases of euthanasia with morphine or benzodiazepines",null,"n/a","End-of-life care - Quality: end-of-life decisions","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",174,128,"Percentage of reports of euthanasia and assisted suicide, that do not meet the criteria of due care according to the regional euthanasia review committees",null,"n/a","End-of-life care - Quality: end-of-life decisions","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",174,129,"The average period between notifying the regional euthanasia review committees of euthanasia or assisted suicide and the review of the notification",null,"n/a","End-of-life care - Quality: end-of-life decisions","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",85,130,"Expenditure for palliative care",null,"n/a","End-of-life care - Palliative care: Costs","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",null,131,"Total health expenditure at macro level and by sector",null,"n/a","Health expenditure and efficiency: expenditure","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",88,132,"Determinants of changes in health expenditure in terms of price and volume","Average percentage growth in health expenditure in price and volume according to the Health and Social Care Accounts definition (source: Slobbe et al., 2011); the volume figures are broken down further by demographic (mainly ageing) and other factors. ","n/a","Health expenditure and efficiency: expenditure","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",75,133,"Total health expenditure by OECD country according to SHA definitions",null,"n/a","Health expenditure and efficiency: expenditure","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",75,134,"Percentage of Dutch gross domestic product spent on health care",null,"n/a","Health expenditure and efficiency: expenditure","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",null,135,"Percentage of total publicly funded expenditures devoted to health care",null,"n/a","Health expenditure and efficiency: expenditure","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",80,136,"Publicly funded health care expenditure per employed person",null,"n/a","Health expenditure and efficiency: expenditure","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",81,137,"Health expenditure per capita in PPP (purchasing power parities) in relation to life expectancy at birth",null,"n/a","Health expenditure and efficiency: efficiency","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",82,138,"Health expenditure per capita in PPP (purchasing power parities) in relation to avoidable mortality ",null,"n/a","Health expenditure and efficiency: efficiency","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",88,139,"Administrative burdens in health care in the Netherlands and internationally",null,"n/a","Health expenditure and efficiency: efficiency","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",54,140,"Productivity in Dutch hospital care","Not clearly defined - consists partly of the following indicators: \n* Dutch hospital admissions into day-patient and inpatient care; increasing proportions of hospital interventions were delivered in daypatient attendances; \n* Hospital size","n/a","Health expenditure and efficiency: efficiency. \nthe same number of admissions could be carried out in 2009 at lower cost than in 2003. The trend was largely attributable to organic growth (general technological development) in all hospitals. Because the study did not assess quality of care, it is unclear whether the additional production resulted in additional health gains.","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",55,141,"Average lengths of hospital stays in the Netherlands and internationally",null,"n/a","Health expenditure and efficiency: efficiency","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",86,142,"Efficiency in the outpatient prescription and use of pharmaceuticals","expenditures for outpatient pharmaceutical drugs; Consumption in terms of defined daily doses (DDDs); proportion of generic drugs in the total of Dutch pharmaceutical consumption; GP prescribing behaviour","n/a","Health expenditure and efficiency: efficiency","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",55,143,"Productivity in Dutch mental health care","In the study by Niaounakis, mental health care productivity was measured in terms of the numbers of outpatient sessions, part-time treatments, inpatient days and days in sheltered accommodation. Weights were determined on the basis of recent fee levels to estimate the relative intensity of care in those four categories.","n/a","Health expenditure and efficiency: efficiency","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",55,144,"Productivity in Dutch nursing homes, residential homes and home care","Numbers of nursing home bed days and the numbers of home care hours","n/a","Health expenditure and efficiency: efficiency","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",151,145,"Variations between countries in terms of health care utilisation",null,"n/a","Health expenditure and efficiency: efficiency","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",185,146,"Substitution of care and the avoidance of unnecessarily expensive care",null,"n/a","Health expenditure and efficiency: efficiency","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",70,"10.1.","Percentage of spontaneous deliveries in the nulliparous term singleton vertex group","The modes of delivery in the so-called nulliparous term singleton vertex (NTSV) or low-risk group. Deliveries in this low-risk group have the following characteristics: it is a first-time pregnancy (nulliparous), it is a singleton pregnancy, the baby is full-term (≥ 37 weeks) and in a head-down position. In the international literature the term ‘nulliparous term singleton vertex’ (NTSV) is often used. These low-risk women are expected to need fewer interventions, such as induced labour, assisted delivery, and caesarean sections. However, some risks can be higher for women who give birth to their first child (Gardosi, 2013).","n/a","Antenatal, perinatal and postpartum care - Quality: secondary and tertiary obstetric care. \nNTSV or low-risk group.\nTo assess the quality of secondary obstetrics, we concentrate on the low-risk group.\nSelecting a homogeneous (low risk) group is a better way to analyse quality than focusing\non the entire group of pregnant women and their new-borns. This way the differences\nbetween hospitals are much less affected by individual differences the hospital has no\ncontrol over (Bailit & Garrett, 2003; Bailit et al., 2006; Main et al., 2006; Coonrod et al.,\n2008).","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",70,"10.2.","Percentage of induced deliveries in the nulliparous term singleton vertex group","The modes of delivery in the so-called nulliparous term singleton vertex (NTSV) or low-risk group. Deliveries in this low-risk group have the following characteristics: it is a first-time pregnancy (nulliparous), it is a singleton pregnancy, the baby is full-term (≥ 37 weeks) and in a head-down position. In the international literature the term ‘nulliparous term singleton vertex’ (NTSV) is often used. These low-risk women are expected to need fewer interventions, such as induced labour, assisted delivery, and caesarean sections. However, some risks can be higher for women who give birth to their first child (Gardosi, 2013).","n/a","Antenatal, perinatal and postpartum care - Quality: secondary and tertiary obstetric care","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",70,"10.3.","Percentage of instrumental deliveries in the nulliparous term singleton vertex group","The modes of delivery in the so-called nulliparous term singleton vertex (NTSV) or low-risk group. Deliveries in this low-risk group have the following characteristics: it is a first-time pregnancy (nulliparous), it is a singleton pregnancy, the baby is full-term (≥ 37 weeks) and in a head-down position. In the international literature the term ‘nulliparous term singleton vertex’ (NTSV) is often used. These low-risk women are expected to need fewer interventions, such as induced labour, assisted delivery, and caesarean sections. However, some risks can be higher for women who give birth to their first child (Gardosi, 2013).","n/a","Antenatal, perinatal and postpartum care - Quality: secondary and tertiary obstetric care","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",69,"10.4.","Percentage of emergency caesarean deliveries in the nulliparous term singleton vertex group",null,"n/a","Antenatal, perinatal and postpartum care - Quality: secondary and tertiary obstetric care","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",69,"10.5.","Percentage of elective caesarean deliveries in the nulliparous term singleton vertex group",null,"n/a","Antenatal, perinatal and postpartum care - Quality: secondary and tertiary obstetric care","n/a","n/a","n/a","n/a","n/a"]
["E","33_van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",256,null,"Avoidable mortality per 100,000 population","Avoidable or amenable mortality refers to deaths from health conditions that should have been treatable, given the current state of the art in medicine and science. The health care system has the potential to substantially reduce mortality from such illnesses over time (Nolte & McKee, 2004). The list of avoidable death causes included tuberculosis, asthma, influenza, maternal death and cervical cancer.\n","n/a","Health expenditure and efficiency: efficiency\nMonitoring the mortality trends that relate to specific causes of death enables more accurate identification of any role played by health care than analysis of more general trends in mortality. It also makes it possible to use international variations in mortality as indications of how the health care systems in different countries are performing.","n/a","n/a","n/a","n/a","n/a"]
["E","34_World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",1,null,"Level of duplication of health insurance coverage","nA","n/a","Equity in finance: What is the extent of coverage under private insurance plans?","n/a","n/a","n/a","n/a","n/a"]
["E","34_World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",5,null,"Out-of-pocket payments for health care services and medicines as percent of household capacity to pay by income quintile",null,"n/a","Social and financial risk protection","n/a","n/a","n/a","n/a","n/a"]
["E","34_World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",8,null,"Out-of-pocket payments as percent of total health care spending",null,"n/a","Equity in finance","n/a","n/a","n/a","n/a","n/a"]
["E","34_World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",22,null,"Number of cases waiting for more than 120 days",null,"n/a","Access to health services","n/a","n/a","n/a","n/a","n/a"]
["E","34_World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",22,null,"Percent of surgeries completed within established target wait times",null,"n/a","Access to health services","n/a","n/a","n/a","n/a","n/a"]
["E","34_World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",32,null,"Physicians per 1,000 population",null,"n/a","Non-financial sustainability","n/a","n/a","n/a","n/a","n/a"]
["E","34_World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",38,null,"Nurses per 1,000 population",null,"n/a","Non-financial sustainability","n/a","n/a","n/a","n/a","n/a"]
["E","34_World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",41,null,"Ratio of nurses to physicians working in hospitals",null,"n/a","Non-financial sustainability","n/a","n/a","n/a","n/a","n/a"]
["E","34_World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",50,null,"Magnetic resonance imaging units per million population",null,"n/a","Non-financial sustainability","n/a","n/a","n/a","n/a","n/a"]
["E","34_World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",50,null,"Computed tomography units per million population",null,"n/a","Non-financial sustainability","n/a","n/a","n/a","n/a","n/a"]
["E","34_World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",54,null,"Percent of selected procedures performed on a day surgery basis","check definition","n/a","Health system efficiency","n/a","n/a","n/a","n/a","n/a"]
["E","34_World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",55,null,"Average length of hospital stay",null,"n/a","Health system efficiency","n/a","n/a","n/a","n/a","n/a"]
["E","34_World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",59,null,"Study on level of income-related inequity in doctor visits","nA","n/a","Inequalities in access to health care services: Do the methods of health system financing influence the utilization of health care services?","n/a","n/a","n/a","n/a","n/a"]
["E","34_World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",69,null,"Rate of caesarean section deliveries",null,"n/a","Quality, safety and outcomes of health care services","n/a","n/a","n/a","n/a","n/a"]
["E","34_World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",76,null,"Total current health care expenditures per capita",null,"n/a","Patterns in health system spending and financial sustainability","n/a","n/a","n/a","n/a","n/a"]
["E","34_World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",76,null,"Total current health care expenditures as percent of GDP",null,"n/a","Patterns in health system spending and financial sustainability","n/a","n/a","n/a","n/a","n/a"]
["E","34_World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",76,null,"Total private expenditure as percent of total health care spending",null,"n/a","Equity in finance","n/a","n/a","n/a","n/a","n/a"]
["E","34_World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",78,null,"Public spending on health care as percent of total current health expenditures",null,"n/a","Patterns in health system spending and financial sustainability","n/a","n/a","n/a","n/a","n/a"]
["E","34_World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",86,null,"Per capita expenditures on medications",null,"n/a","Non-financial sustainability","n/a","n/a","n/a","n/a","n/a"]
["E","34_World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",92,null,"Percent of health care spending devoted to primary care",null,"n/a","Patterns in health system spending and financial sustainability","n/a","n/a","n/a","n/a","n/a"]
["E","34_World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",112,null,"30-day in-hospital fatality rates following AMI and ischemic stroke",null,"n/a","Quality, safety and outcomes of health care services","n/a","n/a","n/a","n/a","n/a"]
["E","34_World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",116,null,"5-year relative survival rate following diagnosis of cancer",null,"n/a","Quality, safety and outcomes of health care services","n/a","n/a","n/a","n/a","n/a"]
["E","34_World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",122,null,"Hospitalisation rates for ambulatory care sensitive conditions",null,"n/a","Quality, safety and outcomes of health care services","n/a","n/a","n/a","n/a","n/a"]
["E","34_World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",197,null,"Overall satisfaction with the health care system",null,"n/a","Health system responsiveness","n/a","n/a","n/a","n/a","n/a"]
["E","34_World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",197,null,"Satisfaction with availability of quality health care",null,"n/a","Health system responsiveness","n/a","n/a","n/a","n/a","n/a"]
["E","34_World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",197,null,"Perceptions of availability, affordability and quality of dental care, medical and surgical specialists, and family doctors",null,"n/a","Health system responsiveness","n/a","n/a","n/a","n/a","n/a"]
["E","34_World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",197,null,"Satisfaction of long-term care and primary health care users",null,"n/a","Health system responsiveness","n/a","n/a","n/a","n/a","n/a"]
["E","34_World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",220,null,"Percentage of generics in the medicines market",null,"n/a","Non-financial sustainability","n/a","n/a","n/a","n/a","n/a"]
["E","34_World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",236,null,"Percent of long-term care patients developing skin ulcers",null,"n/a","Quality, safety and outcomes of health care services","n/a","n/a","n/a","n/a","n/a"]
["E","34_World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",236,null,"Rate of falls in long-term care facilities",null,"n/a","Quality, safety and outcomes of health care services","n/a","n/a","n/a","n/a","n/a"]
["E","34_World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",244,null,"Life expectancy at birth by sex",null,"n/a","Improving the health status of the Portuguese, \nImproving equity in health","n/a","n/a","n/a","n/a","n/a"]
["E","34_World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",246,null,"Disability-free life expectancy by sex",null,"n/a","Improving the health status of the Portuguese, \nImproving equity in health","n/a","n/a","n/a","n/a","n/a"]
["E","34_World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",247,null,"Potential years of life lost by sex, regions",null,"n/a","Improving the health status of the Portuguese, \nImproving equity in health","n/a","n/a","n/a","n/a","n/a"]
["E","34_World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",250,null,"Infant mortality",null,"n/a","Improving the health status of the Portuguese","n/a","n/a","n/a","n/a","n/a"]
["E","34_World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",251,null,"Perinatal mortality",null,"n/a","Improving the health status of the Portuguese","n/a","n/a","n/a","n/a","n/a"]
["E","34_World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",257,null,"Rate of mortality amenable to health care or health promotion interventions",null,"n/a","Patterns in health system spending and financial sustainability","n/a","n/a","n/a","n/a","n/a"]
["E","34_World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",259,null,"Standardised mortality rates for key causes of death under age 65 by sex, regions","check definition","n/a","Improving the health status of the Portuguese, \nImproving equity in health","n/a","n/a","n/a","n/a","n/a"]
["E","34_World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",262,null,"Number of deaths due to alcohol-related motor vehicle accidents",null,"n/a","Addressing main risk factors and promoting healthier lifestyles","n/a","n/a","n/a","n/a","n/a"]
["E","34_World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",267,null,"Number of cases of congenital syphilis",null,"n/a","Quality, safety and outcomes of health care services","n/a","n/a","n/a","n/a","n/a"]
["E","34_World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",271,null,"Low birth weight infants",null,"n/a","Improving the health status of the Portuguese","n/a","n/a","n/a","n/a","n/a"]
["E","34_World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",272,null,"Self-assessed health status by age groups, level of education",null,"n/a","Improving the health status of the Portuguese, \nImproving equity in health","n/a","n/a","n/a","n/a","n/a"]
["E","34_World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",299,null,"Prevalence of smoking by sex, by level of education",null,"n/a","Addressing main risk factors and promoting healthier lifestyles","n/a","n/a","n/a","n/a","n/a"]
["E","34_World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",301,null,"Alcohol consumption habits among adolescents",null,"n/a","Addressing main risk factors and promoting healthier lifestyles","n/a","n/a","n/a","n/a","n/a"]
["E","34_World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",null,null,"Policy analysis and interviews with policy-makers and health system stakeholders","nA","n/a","Non-financial sustainability: Are health information resources sufficient to enable evidence-based policy-making and health system planning?","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",244,1,"Life Expectancy",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",256,2,"Policy-related Avoidable Mortality","The indicator measures the number of avoidable deaths per 100 000 inhabitants age 1–79.\nPolicy-related avoidable deaths are those caused by diseases or accidents (lung cancer, oesophageal cancer, cirrhosis of the liver, motor vehicle accidents)  that could have been affected by health policy initiatives. The indicator includes deaths causd by lung cancer, oesophageal cancer, cirrhosis of the liver and motor vehicle accidents.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",256,3,"Healthcare-related Avoidable Mortality","Number of deaths from diseases or accidents that could have been affected by medical interventions.\nThe indicator measures the number of avoidable deaths (tubercolosis, cervical cancer, hodgkins disease, chronic rheumatic heart disease, diabetes, diseases  of the respiratory system, asthma, appendicitis, etc.) per 100 000 inhabitants age 1–79.\nHealthcare-related avoidable deaths are those caused by diseases or accidents that could have been affected by medical interventions, early detection and treatment. The indicator includes deaths from diseases such as stroke, diabetes and cervical cancer (see complete list below).","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",257,4,"Avoidable Deaths from Ischaemic Heart Disease","The indicator measures the number of deaths from ischaemic heart disease per 100 000 inhabitants younger than 80.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",264,5,"Suicide among the General Population",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",16,6,"Ambulance Response Time",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",122,7,"Avoidable hospitalisation","The indicator measures the number of people with avoidable hospitalisations per 100 000 inhabitants per year.\nThe indicator includes avoidable hospitalisations due to selected diseases. The first group of selected diagnoses were those that primarily illustrate how well outpatient care handles chronic or long-term conditions. \nThe second group of selected diagnoses were several acute conditions for which proper treatment within a reasonable period of time could avert hospitalisation. The purpose of the indicator is to measure the quality of outpatient care.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",180,8,"Healthcare Associated Infections",null,"Numerator: Number of patients hospitalised for medical care who have healthcare related infections.\nDenominator: All patients hospitalised for medical care.","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",98,9,"Vaccination of Children – Measles-Mumps-Rubella (MMR)","Percentage of children vaccinated against measles, mumps and rubella among all those born","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",101,10,"Cervical Cancer Screening",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",237,11,"Polypharmacy – Elderly Who Consume Ten or More Drugs",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",186,12,"Drug-drug Interactions among the Elderly",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",186,13,"Elderly Consuming Drugs that Should Be Avoided",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",145,14,"Occurrence of Antibiotic Therapy",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",146,17,"Combination Drugs for Asthma",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",142,18,"Compliance in Filling Prescriptions for Antihypertensive Therapy",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",2,19,"Access to Health Care","Percentage of the general population reporting that they have access to the health care they need.\nThe indicator measures perceptions among members of the general population about their access to health care, regardless of whether they had recent contact with the system or not.","Numerator: Number of selected members of the general population that agreed wholly or in part with the statement that they had access to the health care they needed.\nDenominator: All interviewees in the sample of the general population for the year.","n/a","n/a","Healthcare Survey: the purpose is to measure the attitudes, experience, knowledge and expectations of the adult population when it comes to the healthcare system. The rolling survey has been conducted once a year in every county and region since 2001.","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",197,20,"Confidence in Health Centres","Percentage of the general population who report having high or very high confidence in the care provided by primary care centres or the equivalent.\nThe indicator reflects confidence among members of the general population in primary care regardless of whether or not they had recent contact with a health centre.","Numerator: Number of selected members of the general population for the year reporting that they had high or very high confidence in the care provided by health centres.\nDenominator: All interviewees in the sample of the general population for the year.","n/a","n/a","Healthcare Survey: the purpose is to measure the attitudes, experience, knowledge and expectations of the adult population when it comes to the healthcare system. The rolling survey has been conducted once a year in every county and region since 2001.","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",197,21,"Confidence in Hospitals","Percentage of the general population who report having high or very high of confidence in hospital care.","Numerator: Number of selected members of the general population for the year reporting that they had high or very high confidence in hospital care.\nDenominator: All interviewees in the sample of the general population for the year.","n/a","n/a","Healthcare Survey: the purpose is to measure the attitudes, experience, knowledge and expectations of the adult population when it comes to the healthcare system. The rolling survey has been conducted once a year in every county and region since 2001.","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",191,22,"Caregiver Respect and Consideration at Primary Care Appointments","\"Did you feel that you were treated respectfully and considerately?\" Patient-perceived quality of primary care","n/a","n/a","n/a","National Patient Survey: ","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",192,23,"Information at Primary Care Appointments","\"Did you receive enough information about your condition?\" Patient-perceived quality of primary care","n/a","n/a","n/a","National Patient Survey: ","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",195,24,"Participation at Primary Care Appointments","\"Did you feel as though you participated in decisions about your care and treatment as much as you wanted?\" Patient-perceived quality of primary care","n/a","n/a","n/a","National Patient Survey: ","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",191,25,"Caregiver Respect and Consideration at Specialised Care Appointments","\"Did you feel that you were treated respectfully and considerately?\" Percentages for the various responses, 2011. Covers appointments in specialised medical care.","n/a","n/a","n/a","National Patient Survey: ","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",192,26,"Information at Specialised Care Appointments","\"Did you receive enough information about your condition?\" Percentages for the various responses, 2011. Covers appointments in specialised medical care.","n/a","n/a","n/a","National Patient Survey: ","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",195,27,"Participation at Specialised Care Appointments","\"Did you feel as though you participated in decisions about your care and treatment as much as you wanted?\" Percentages for the various responses, 2011. Covers appointments in specialised medical care.","n/a","n/a","n/a","National Patient Survey: ","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",190,28,"Caregiver Respect and Consideration during Admission to Hospital","\"Did you feel that you were treated respectfully and considerately?\" Percentages for the various responses, 2011. Covers specialised medical care.","n/a","n/a","n/a","National Patient Survey: ","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",190,29,"Information during Admission to Hospital","\"Did you receive enough information about your condition?\" Percentages for the various responses, spring, 2012. Covers specialised medical care.","n/a","n/a","n/a","National Patient Survey: ","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",190,30,"Participation during Admission to Hospital","\"Did you feel as though you participated in decisions about your care and treatment as much as you wanted?\" Percentages for the various responses, spring 2012. Covers specialised medical care.","n/a","n/a","n/a","National Patient Survey: ","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",18,31,"Appointment with a Primary Care Doctor within Seven Days","Percentage of patients who were given an appointment with a general practitioner within seven days","n/a","n/a","n/a","Waiting Times in Health Care Database","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",18,32,"Perceived Availability of Appointments at Primary Care Clinics","\"How do you feel about the time you had to wait?\" Patient-perceived quality of primary care","n/a","n/a","n/a","National Patient Survey","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",18,33,"Availability of Primary Care by Phone","Number of phone calls answered in primary care, Only health centres and computerised telephone systems.","n/a","n/a","n/a","Waiting Times in Health Care Database","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",20,34,"Specialist Appointment within 90 Days","Percentage of patients who waited 90 days or less for appointments with specialists","n/a","n/a","n/a","Waiting Times in Health Care Database","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",22,35,"Surgery within 90 Days","Percentage of patients who waited 90 days or less for surgery in specialist care","n/a","n/a","n/a","Waiting Times in Health Care Database","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",75,36,"Structure-adjusted Healthcare Costs Per Capita","Regional healthcare costs per inhabitant, adjusted for structural factors in accordance with the system for economic equalisation among the regions.\nThe indicator measures healthcare costs after considering factors – such as age of the population, occurrence of disease, etc. – that are beyond the control of the regions.\nDental care costs were not included. Due to regional differences in the respective responsibilities of the local authorities and regions, costs for home healthcare services were not included. To increase comparability, restructuring costs were also excluded. ","The calculations were based on net costs (total costs less revenue) that are financed by county council taxes, general government subsidies and net financial income.\nCosts for private care and care provided by another county council were included. Costs for services that one county council sells to another were not included. The costs were calculated per inhabitant as of 31 December. The measure represents actual net costs per inhabitant (as above), excluding pharmaceuticals,\ndivided by the ratio of the standard healthcare cost for the particular region and the cost for the entire country. Added to that is the region’s drug cost divided by the ratio of the region’s government drug subsidy per inhabitant and the average subsidy.\nExpected net cost in accordance with the need index (standard cost) is calculated each year by the system of economic equalisation for local governments. The standard cost represents the cost per inhabitant of the various regions in view of sparsely populated areas and the size of groups requiring a disproportionate percentage of health care, as well as regional age, employment, income and housing differences.\nThe standard cost is based on the national average for each subgroup. Variations in the standard cost from one region to another reflect the cost impact of these structural differences. A difference between the standard cost of a region and the country as a whole requires a corresponding subsidy or charge in the tax equalisation system. ","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",96,37,"Cost Per Consumed DRG Point","Per capita cost per consumed DRG point, excluding home health care, dental care and restructuring","n/a","A more direct approach to quantifying costs in order to estimate the productivity of the healthcare system is to relate them to the number of care events instead of to demographic factors as was the case above. Productivity is a narrower concept than efficiency. Productivity is the degree to which the intervention was commensurate, and met the targets associated, with the resources invested.","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",96,38,"Cost Per DRG Point Produced","Cost per DRG point – specialised medical care","n/a","One problem that arises when only costs per inpatient care event are included is that they must be uniformly allocated between outpatient and inpatient care. Otherwise such accounting differences affect productivity estimates. The remainder of the report presents hospitals per county rather than ranking them by outcome.","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",97,39,"Cost Per Contact with the Primary Care System","Cost per weighted primary care event in primary care, Home health care and drugs covered by the pharmaceutical benefits scheme are excluded.","Cost is defined as net cost. \nWeighted outpatient contact includes the number of visits (clinic, home, etc.) and phone calls (only one if they take the place of a visit) with a doctor or other caregiver. The contacts are aggregated based on average resource consumption.\nOutpatient contacts are weighted according to place (phone or clinic), the type of\ncaregiver involved, and the category for which they are reported (such as occupational\ntherapists or general practitioners). The various types of visits and phone calls\nare weighted according to average resource consumption. Contacts with doctors and\nother caregivers are weighted similarly. A home visit corresponds to two visits at a\nclinic, and a phone call corresponds to 1/3 of a visit at a clinic. A visit with another\nhealthcare professional corresponds to 40 per cent of a visit with a doctor. The outpatient\ncontacts are then weighted according to the average cost per contact for each\ncategory (general practitioners, nurses, etc.).","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",300,40,"Tobacco Use during Pregnancy","Percentage of women who smoked or used snuff during weeks 30–32 of pregnancy","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",null,41,"Screening for Risky Consumption of Alcohol during Pregnancy","Percentage of patients screened for risky consumption of alcohol during pregnancy and who gave birth during the year","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",71,42,"Induced Abortion Prior to Nine Completed Weeks of Pregnancy","Percentage of induced abortions prior to nine completed weeks of pregnancy, broken down by medical and surgical procedures","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",251,43,"Foetal Mortality Rate","Foetal mortality after the 28th week of pregnancy. Rate per 1 000 births. Age-standardised.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",252,44,"Neonatal Mortality","Percentage of infants with nosocomial infections among all those receiving neonatal care","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",180,45,"Nosocomial Infections among Babies Receiving Neonatal Care","Percentage of infants with nosocomial infections among all those receiving neonatal care","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",249,46,"Percentage of Neonates with Apgar Score below 7","Percentage of newborns with Apgar score under 7 at five minutes. Age-standardised. The Apgar score is a system for standardised assessment of the vitality of neonates. The baby’s heart rate, breathing, skin colouration, activity and muscle tone, and reflex irritability are rated on a scale of 0–10 at one minute, five minutes and ten minutes after birth. ","n/a","A low Apgar score, normally defined as below 7 at five minutes,\nmay be due to any number of factors. The score reflects any oxygen deprivation\nthat remains or that first appears at that point. Oxygen deprivation may be caused\nby complications in the placenta or umbilical cord, stunted growth, disease in the\nmother, uterine inertia, assisted delivery or other childbirth complications, or by\nanaesthesia or analgesics administered during delivery. Both mortality rates and the\nrisk of serious neurological damage are greater in neonates with low Apgar scores\nat five minutes.","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",177,47,"Percentage of Third and Fourth Degree Perineal Tears During Vaginal Delivery","Percentage of third and fourth degree perineal tears during vaginal delivery.\nPerineal tears during delivery are classified into four degrees. First and second degree\nperineal tear involves external vulva, vagina and perineal tissue and is usually\nnot serious. Third degree perineal tear also includes all or part of the anal sphincter\nmuscle, and fourth degree perineal tear involves the rectal mucosa as well.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",69,48,"Caesarean Section among Primiparas","Percentage of Caesarean section in full term (>=37 weeks) pregnancy","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",93,49,"Cost per Care Event for Childbirth","Cost per care event for childbirth, Both vaginal delivery and caesarian section.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",179,50,"Adverse Events after Hysterectomy","Adverse events after hysterectomy, inpatients age 15–84. Age-standardised.","n/a","Hysterectomy is a fairly common procedure. As with all surgery, there is a risk of\npost-operative infection or other complications for which readmission may be required.\nThe percentage of readmissions is a patient safety indicator for gynaecological\ncare. Although individual hospitals cannot be held accountable for all readmissions,\nthe indicator points to their responsibility to prevent infections, plan\ndischarges properly and ensure that primary care is able to take over.","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",179,51,"Patient-reported Complications after Hysterectomy","Percentage of patients who reported that they had no complications or adverse events after hysterectomy","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",118,52,"Patient Satisfaction after Hysterectomy","Percentage of patients who reported that they were satisfied or very satisfied with the results one year after hysterectomy","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",179,53,"Patient-reported Complications after Uterine Prolapse Surgery","Percentage of patients who reported that they had no complications or adverse events after uterine prolapsed surgery","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",179,54,"Patient-reported Bulging Sensation after Uterine Prolapse Surgery",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",179,55,"Patient-reported Complications after Urinary Incontinence Surgery","Percentage of patients who reported that they had no complications or adverse events after urinary incontinence surgery","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",118,56,"Patient-reported Success of Surgery for Urinary Incontinence","Percentage of women who reported being continent one year after urinary incontinence surgery","n/a","The indicator reflects patient assessment of the success of surgery one year later.","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",54,57,"Uterine Prolapse – Frequency of Day-case Surgery",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",93,58,"Cost per Care Event for Hysterectomy","costs per care event for inpatient hysterectomy","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",134,59,"Total Knee Arthroplasty – 10–year Implant Survival","Percentage of knee arthroplasty procedures for which revision was not required within ten years","The calculation was performed with Kaplan-Meier statistics, which includes patients\nwho have died or emigrated in the risk population. Revision refers to a reoperation\nin which implant component(s) are removed, added or replaced. No standardisation\nwas performed except for the selection of total knee arthroplasty procedures for osteoarthritis.\nPatients were assigned to the region in which the hospital performing\nprimary surgery was located","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",134,60,"Total Hip Arthroplasty – 10–year Implant Survival","Percentage of total hip arthroplasty procedures that did not require revision within ten years","The calculation was performed with Kaplan-Meier statistics, which includes patients\nwho have died or emigrated in the risk population. Revision refers to a reoperation\nin which implant component(s) are removed, added or replaced. An operation was\nregarded as unsuccessful if part or all of the implant had to be replaced or the entire\nimplant removed.","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",131,61,"Reoperation within Two Years after Total Hip Arthroplasty","Percentage of reoperations within two years after total hip arthroplasty.","Numerator: Number of operations, regardless of the reason, within two years after initial surgery. Refers to all types of additional surgery (a broader concept than revision) after primary surgery.\nDenominator: All hip arthroplasty procedures entered in the Swedish Hip Arthroplasty Register.","Ten-year survival of hip prosthesis is a central quality variable, but indicators are\nalso needed that can provide quicker feedback to clinics and that can spur them to\nlaunch improvement efforts without undue delay.\nOne faster indicator concerns the percentage of reoperations within two years of\ninitial surgery, regardless of the reason. Reoperation is a broader concept than revision\nand includes all forms of additional surgery. The short follow-up time primarily\nreflects early and serious postoperative complications, such as deep infection\nand revision due to repeated dislocation of the hip prosthesis. Able-bodied patients\nwho are reoperated on due to prosthesis-related infection or dislocation frequently\nexperience poorer final results, costing the healthcare system and society millions\nof kronor per complication.\nOnly surgically treated complications are included. Neither infections treated with\nantibiotics nor dislocations treated non-surgically are reported to the register. If a\npatient was repeatedly reoperated on for the same complication, only a single complication\nwas reported. Data for patients reoperated on at a clinic other than the\nprimary one are still assigned to the primary clinic.","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",179,62,"Adverse Events within 30 Days after Knee and Total Hip Arthroplasty","Percentage of patients who reported that they were satisfied one year after hip arthroplasty.\nAll patients who had knee or total hip arthroplasty were included. They were monitored\nwith respect to death, surgical complications specific to knee or total hip arthroplasty,\nand readmission for cardiovascular disease, pneumonia or urine retention.","Numerator: Patients who underwent knee or total hip arthroplasty and had an adverse event within 30 days after discharge.\nDenominator: All patients who had knee or total hip arthroplasty.","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",118,63,"Patient-reported Outcome of Total Hip Arthroplasty","Patient-reported outcome of total hip arthroplasty. Improvement in quality of life  in accordance with the EQ-5D instrument at 1-year follow-up.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",118,64,"Percentage of Patients Who Reported That They Were Satisfied One Year after Total Hip Arthroplasty",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",114,65,"Waiting Times for Hip Fracture Surgery after Arrival at Hospital",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",68,66,"Percentage of Femur Fracture Patients Age 65 and Older Who Underwent Hip Arthroplasty","All first-time patients age 65 and older whose femur fracture was their main diagnosis\nwere included. The analysis covered those who underwent partial or total hip\narthroplasty or were treated with traditional osteosynthesis.","Numerator: First-time cases of femur fracture age 65 or older who underwent arthroplasty.\nDenominator: All first-time cases of femur fracture age 65 or older who underwent arthroplasty or osteosynthesis.","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",134,67,"Hemiarthroplasty – Implant Survival","Estimated percentage of patients who were not reoperated on within one year after hemiarthroplasty for femur fracture","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",137,68,"Return to Original Residence Following Hip Fracture Surgery","Percentage of patients, age 50 and older, who returned to their original residence within four months after hip fracture surgery","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",145,69,"Drugs to Prevent Post-fracture Osteoporosis","Percentage of women age 50 and older with fractures who received osteoporosis drugs within 6–12 months","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",118,70,"Patient-reported Improvement after Spinal Stenosis Surgery","Percentage of patients who reported that the pain in their legs had disappeared completely or was greatly improved one year after spinal stenosis surgery","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",118,71,"Patient-reported Improvement after Surgery for Herniated Lumbar Disc","Percentage of patients who reported that the pain in their legs had disappeared completely or was greatly improved one year after spinal stenosis surgery","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",68,72,"Knee Arthroscopy for Osteoarthritis or Degenerative Meniscus Lesion","Knee arthroscopy in patients age 40 and older with osteoarthritis or degenerative meniscus lesion per 100 000 inhabitants, Age-standardised","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",131,73,"Revision Operations after Anterior Cruciate Ligament Surgery (ACL)","The indicator shows the percentage of patients who underwent revision surgery\nwithin two years after an initial anterior cruciate ligament reconstruction. Failure\nof the initial reconstruction to achieve the intended outcome may be due to inferior\ntechnique, poor healing conditions or a new accident. Many patients with new cruciate\nligament damage are not offered, or choose not to have, a revision operation.","n/a","Anterior cruciate ligament injury is a serious condition that often prevents young\npeople from performing heavy labour or engaging in strenuous exercise in the absence\nof proper treatment. The incidence of the ACL injuries is unknown.","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",146,74,"Biologic Drugs for Rheumatoid Arthritis","Rheumatoid arthritis – percentage of patients age 18 and older treated with biologic drugs.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",146,75,"Effect after Commencement of Biologic Drug Therapy","Percentage of rheumatoid arthritis patients with little or no disease activity 4–12 months after commencement of treatment with their first biologic drug","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",118,76,"Patient-reported Improvement after Commencement of Biologic Drug Therapy","Rheumatoid arthritis – patient reported improvement 4–12 months after commencement of treatment with biologic drugs. Measured as the change in the patient’s global VAS.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",93,77,"Cost Per Inpatient Care Event for Primary Total Hip","costs per inpatient care event","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",93,78,"Cost Per Inpatient Care Event for Knee Arthroplasty",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",148,79,"Persons with Diabetes in Primary Care Who Achieve The Goal for Blood Glucose Levels","Percentage of persons with diabetes, younger than 80, in primary care who achieved the blood glucose goal (HbA1c < 52 mmol/mol)","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",148,80,"Persons with Type 1 Diabetes Who Achieve the Goal for Blood Glucose Levels","Percentage of persons with type 1 diabetes who achieved the blood glucose goal (HbA1c < 52 mmol/mol)","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",148,81,"Persons with Diabetes in Primary Care Who Achieve the Blood Pressure Goal","Percentage of persons with diabetes in primary care who achieved the blood pressure goal (< 130/80 mm Hg), Patients younger than 80.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",148,82,"Persons with Type 1 Diabetes Who Achieve the Blood Pressure Goal","Percentage of persons with type 1 diabetes who achieved the blood pressure goal (< 130/80 mm Hg)","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",148,83,"Persons with Diabetes in Primary Care Who Achieve the Goal for LDL Cholesterol Levels","Percentage of persons with diabetes, younger than 80, in primary care who achieved the LDL cholesterol goal (< 2.5 mmol/l)","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",148,84,"Children and Adolescents with Diabetes Who Achieve the Goal for HbA1c Levels","Percentage of children and adolescents with diabetes age 18 and younger who reached the goal for HbA1c (< 52 mmol/mol)","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",123,85,"Amputation Due to Diabetes","Number of first-time amputees above the ankle joint per 100 000 persons with diabetes. Patients receiving drug therapy","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",115,86,"Survival after Cardiac Arrest outside of Hospital","Percentage of cardiac arrest patients outside hospital who had been administered CPR and were alive 30 days later","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",112,87,"Myocardial Infarction – 28-day Case Fatality Rate","28-day case fatality rate for myocardial infarction. Both hospitalized patients and those who died without hospital care. Age-standardised.","n/a","The 28-day case fatality rate is an internationally established indicator of the quality\nof acute care after myocardial infarction. The indicator quantifies performance\nat each step along the way: preventive, ambulance, acute and follow-up care.","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",112,88,"Myocardial Infarction – 28-day Case Fatality Rate – Hospitalised Patients","28-day case fatality rate for myocardial infarction. Hospitalised patients. Age-standardised.","n/a","This indicator focuses on the quality of acute treatment of myocardial infarction patients and continuing care at hospital. The indicator is well-established internationally.","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",116,89,"Recurrence of Infarction or Death from Ischaemic Heart Disease","Percentage of patients who had a new myocardial infarction or died of ischaemic heart disease within 365 days. Age-standardised. \nThis indicator concerns the percentage of myocardial infarction patients who were\ndischarged from hospital and had a new infarction or died of another ischaemic\nheart disease within 365 days.","n/a","Ischaemic heart disease is caused by impaired oxygen\nsupply to the heart. The percentage of patients who died or suffered a recurrence\nmay be the result of both acute care and secondary prevention interventions. The\npatient’s condition before and after the first infarction has a fundamental impact\non the outcome.","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",148,90,"Reperfusion Therapy for Patients with ST-segment Elevation Myocardial Infarction (STEMI)","Percentage of STEMI patients, age 79 and younger, who received reperfusion therapy within the target time.\nThe indicator reflects the percentage of myocardial infarction patients with Stsegment elevation or LBBB on the EKG who received acute reperfusion therapy.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",148,91,"Time until Reperfusion Therapy for Patients with ST-segment Elevation Myocardial Infarction (STEMI)","The indicator looks at the percentage of STEMI patients for whom reperfusion therapy commenced within the target time (90 minutes for PCI and 30 minutes for thrombolysis) after the initial EKG.","n/a","The shorter the delay, the greater the chances that reperfusion therapy will succeed.\nThe international limit of 30 minutes for thrombolytic therapy is based on the time\nrequired to complete the various preparatory steps. The 90-minute deadline for\nPCI, which is a more complex procedure, stems from its incontrovertible medical\nadvantages, assuming that transport to the hospital or the delay after pre-hospital\nEKG can be held down to that time.\nDefining initial EKG as the starting point places the responsibility squarely in the\nlap of the healthcare system. The total time from the onset of chest pain and other\nsymptoms of myocardial infarction to commencement of therapy is also a function\nof reactions by the patient, family members, hotline and emergency service centre,\nas well as the distance to the clinic.","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",148,92,"Coronary Angiography after Non-ST-segment Elevation Myocardial Infarction (NSTEMI) in Patients with Another Risk Factor","This indicator shows the percentage of patients with NSTEMI and at least one risk\nfactor who received or were scheduled for coronary angiography in connection with\nhospitalisation. The indicator was used by the national guidelines for follow-up\npurposes and by the RIKS-HIA Quality Index for hospitals.","n/a","Patients at moderate to high risk of a new infarction should undergo a\ncoronary angiogram within a few days to determine any need for PCI or coronary\nartery surgery (within 7–8 days).","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",148,93,"Antithrombotic Therapy after NSTEMI","Antithrombotic therapy (P2Y2 receptor antagonist) after non-ST-segment elevation myocardial infarction in patients younger than 80","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",148,94,"Lipid Lowering Drug Therapy after Myocardial Infarction","Lipid lowering drug therapy 12–18 months after myocardial infarction, in patients age 40–79. Age-standardised.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",116,95,"PCI for Unstable Coronary Artery Disease – 365-day Case Fatality Rate","The indicator shows the percentage of patients who died within 12 months after PCI for unstable coronary artery disease.\nPercentage of deaths within one year after PCI for unstable coronary artery disease. Age-standardised","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",148,96,"Restenosis of the Coronary Artery after PCI","The indicator presents the percentage of patients who developed restenosis within 12 months after PCI among those who had a follow-up angiogram due to recurrent discomfort.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",125,97,"Death or Readmission after Hospitalisation for Heart Failure","the percentage of heart failure patients who either died or were readmitted to hospital within 30 days after discharge for the same diagnosis. All ages were included and the data were age-standardised.","n/a","Heart failure, which significantly increases the risk of premature death, is one of the most common diagnoses among elderly patients who are hospitalised. A chronic condition, heart failure exhibits symptoms such as fatigue, shortness of breath during exertion, dyspnoea and coughing at night, and swelling of the legs.\nPatients frequently die or are readmitted shortly after being hospitalised for heart failure. Because the condition is chronic, death after hospitalisation is a complex quality indicator but nevertheless worth examining. Among the reasons for readmission may be premature discharge, inadequate drug therapy or poor information for patients. Avoidable readmission represents a quality problem that leads to greater personal suffering and higher costs for the healthcare system.","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",148,98,"Drug Therapy for Heart Failure","The indicator shows the percentage of patients hospitalised for heart failure who received both RAAS inhibitors and beta blockers. Patients who had been hospitalised for heart failure during the preceding 365 days were excluded.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",179,98,"Complications after Pacemaker Implantation","The indicator shows the percentage of patients who experienced complications after\ninitial implantation, replacement or correction of a standard pacemaker. The\nlocation of the clinic rather than where the patient was living formed the basis of\ncounty reporting.","n/a","Pacemaker surgery is typically uncomplicated and lasts for an hour. Patients are normally\nhospitalised, but day-case surgery may be an option. Nevertheless, the procedure\nis associated with the risk of complications. Thus, the frequency of complications\nis an obvious indicator for monitoring quality.","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",93,100,"Cost per Inpatient Care Event for PCI after Myocardial Infarction","costs per inpatient care event for PCI after myocardial infarction.\nThe procedure is performed immediately after STEMI, as well as within a few days\nafter NSTEMI has been diagnosed and treated with drugs.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",112,101,"First-ever Stroke – 28-day and 90-day Case Fatality Rate","28-day case fatality rate for first-ever stroke. Both hospitalised patients and those who died without hospital care\nStroke is defined as all cases that include a diagnosis of cerebral haemorrhage, cerebral\ninfarction or unspecified stroke in the Cause of Death Register or the inpatient\nsection of the National Patient Register. Thus, both patients who were hospitalised\nand those who died without being hospitalised are included.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",112,102,"Hospitalised Stroke Patients – 28-day and 90-day Case Fatality Rate","This indicator, which reflects the 28-day and 90-day case fatality rate for hospitalised stroke patients, focuses on the quality of acute and continuing care at hospital. Age-standardised.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",147,103,"Patients Treated at a Special Stroke Unit","Percentage of patients treated at a special stroke unit","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",148,104,"Thrombolytic Therapy after Stroke","Percentage of eligible stroke patients who received thrombolytic therapy","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",148,105,"Swallow Test after Acute Stroke","The indicator reflects the percentage of patients who were given a swallow test upon arrival or who were excluded due to their medical condition among everyone\nwho was hospitalised for acute stroke.","n/a","Stroke can impair the ability to swallow such that food gets caught in the airways.\nIf worse comes to worst, the result can be respiratory arrest or severe pneumonia.\nThe ability of stroke patients to swallow should be routinely assessed at the time of\nhospitalisation by means of a simple test. The test has priority 1 (out of 10) in the\nnational guidelines.","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",148,106,"Anticoagulant Therapy for Stroke Patients with Atrial Fibrillation","Anticoagulant therapy after 12–18 months for stroke patients age 55–79 with atrial fibrillation","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",148,107,"Lipid Lowering Drug Therapy after Cerebral Infarction","Percentage of patients who were receiving lipid lowering drug therapy 12–18 months after stroke (cerebral infarction).","n/a","Secondary prevention interventions are vital to minimising recurrence of stroke or\nthe development of another cardiovascular disease. Treatment with statins (lipid\nlowering drugs) have been shown to be effective for secondary prevention following\ncerebral infarction. The national guidelines assign high priority to the intervention;\nessentially all cerebral infarction patients are to receive statins. Among the potential\nrisks of the therapy are adverse effects and harmful drug-drug interactions.","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",125,108,"Readmission for Stroke","the percentage of patients who were readmitted to hospital for stroke within 365 days of their initial care episode. Age-standardised.","n/a","The percentage of readmissions to hospital among first-ever stroke patients can provide\na gauge of the efficacy of secondary prevention interventions. Among such\ninterventions are lifestyle changes mediated through smoking cessation, dietary\ncounselling, assistance with physical activity, drug therapy (antihypertensives, lipid\nlowering drugs and antithrombotics) and carotid endarterectomy. Along with\nsurvival and readjustment to daily life, recurrence is a basic outcome measure for\nstroke care. This is also the motive for presenting this indicator, in spite of existing\ndifficulties to correctly measure readmission rates for stroke.","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",140,109,"Personal Activities of Daily Living (ADL) three Months after Stroke","the percentage of patients who could handle their personal ADL by themselves prior to stroke, who survived and who were independent of others for these activities three months after the acute phase","n/a","Stroke survivors recover their previous function to varying degrees. The Swedish\nStroke Register collects data about the dependence of patients on others for their\npersonal activities of daily living (ADL) three months after stroke. Personal ADL\nrefers to locomotion, toileting, dressing and undressing. The quality indicator reflects\nhealthcare interventions both during the acute phase and in ongoing rehabilitation\nafter discharge from the acute care hospital.","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",190,110,"Satisfaction with Stroke Care at Hospital","Percentage of stroke patients who were satisfied or highly satisfied with the hospital care they received","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",203,111,"Meeting Rehabilitation Needs after Stroke","Percentage of stroke patients 12 months after the acute phase who reported that their rehabilitation needs had been met","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",146,112,"Dialysis Treatment – Relative Risk of Death","Only patients who survived for more than 90 days are included, thereby avoiding the problem of incomplete or sporadic reporting in the early stages. Patients were included until such time as they received a kidney transplant. The analysis was adjusted for age, gender and primary disease.","n/a","Renal replacement therapy is the umbrella term for dialysis treatment and kidney\ntransplant. A dialysis patient faces approximately ten times the risk of death as one\nwith a well-functioning transplant. The length of time that a patient with terminal\nrenal failure has to wait before receiving a transplant is determined by factors that\nare only partially amenable to influence. Both access to living donors and delays\ncaused by the machinery of the healthcare system impose certain restrictions. Thus,\nthe use of total survival rates as a quality measure for patients in renal replacement\ntherapy may be called into question. This is why the comparison is presented for\ndialysis patients only, as the relative risk of death based on a Cox regression analysis.","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",148,113,"Target Fulfilment for Haemodialysis Dose","the percentage of patients in each county who met the target for dialysis dose","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",148,114,"Vascular Access during Dialysis","Percentage of dialysis patients with an AV fistula or an AV graft","n/a","The access to the blood vessels required during haemodialysis can be obtained in\nvarious ways. A surgically created arteriovenous (AV) fistula is the best form of vascular\naccess. An arteriovenous graft (with synthetic vascular material) is not quite as\ngood and is associated with a greater risk of occlusion and poorer function, as well\nas a somewhat elevated risk of infection. The alternative to an AV fistula or graft is\na central venous catheter (CVC), which poses a substantially higher risk of serious\ninfection, often reducing blood flow and thereby the effectiveness of dialysis.","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",148,115,"Achievement of Blood Pressure Goals during Haemodialysis","Percentage of haemodialysis patients who achieved the blood pressure goal (< 140/90 mm Hg)","n/a","this indicator serves mostly to bring existing differences to\nthe surface. Comparisons over time reveal that the percentage of patients whose\nblood pressure is below the recommended upper limit is continuing to increase.","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",116,116,"Colon Cancer – Relative Five-year Survival Rates",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",117,117,"Reoperation for Colon Cancer","Percentage of patients who were reoperated on within 30 days after primary colon cancer surgery","n/a","The percentage of reoperations is also related to the way that primary surgery was performed and the patient’s condition at the time.","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",116,118,"Colon Cancer Surgery – 30-day and 90-day Case Fatality Rates","Percentage of deaths within 90 days after colon cancer surgery","n/a","The indicator reflects the selection of patients for surgery, as well as the care they received before, during and after the operation.","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",116,119,"Rectal Cancer – Relative Five-year Survival Rates",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",117,120,"Reoperation for Rectal Cancer","Percentage of reoperations within 30 days after primary surgery for rectal cancer","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",116,121,"Rectal Cancer Surgery – 30-day and 90-day Case Fatality Rates","Percentage of deaths within 30 and 90 days after rectal cancer surgery","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",116,122,"Breast Cancer – Relative Five-year Survival Rates",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",117,123,"Reoperation for Breast Cancer Due to Tumour Data","Percentage of women with breast cancer who were reoperated on due to tumour data","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",117,124,"Reoperation for Breast Cancer within 30 Days Due to Complications","Percentage of women with breast cancer who were reoperated on within 30 days due to complications","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",20,125,"Waiting Times for Breast Cancer Surgery",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",116,126,"Lung cancer – relative one-year survival rates",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",148,127,"Multidisciplinary Team Meetings for Lung Cancer Patients","This indicator shows the percentage of patients who were assessed at such a meeting prior to primary treatment. The results reflect whether the hospital and region have a structure for treating lung cancer patients and the extent to which the service is provided.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",20,128,"Waiting Time from Receipt of Referral until Decision to Treat a Lung Cancer Patient",null,"n/a","A key indicator of lung cancer care is the amount of time that transpires between\nthe date that a specialist clinic receives a referral – or is contacted by the patient –\nand the decision to treat. The waiting time includes assessment and diagnosis until a\ndecision is made at a multidisciplinary team meeting or in some other manner. The\nclinic ordinarily specialises in either pulmonary medicine or oncology.","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",20,129,"Waiting Time from Prostate Cancer Referral until Initial Appointment with a Urologist","Waiting time from a prostate cancer referral until the initial appointment with a urologist","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",20,130,"Prostate Cancer – Curative Treatment of Patients Aged 75 and Younger","Prostate cancer – percentage of patients under 75 with a local medium-risk or high-risk tumour who received curative treatment","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",20,131,"Waiting Time from Receipt of Referral until Commencement of Treatment for Head and Neck Cancer Patients","Average waiting time from receipt of a referral by a specialist clinic until commencement of treatment for malignant head and neck tumour","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",146,132,"Regular Treatment with Soporifics or Sedatives","Number of people age 20–79 with regular and high consumption of soporifics or sedatives per 100 000 inhabitants. Age-standardised.","n/a","Benzodiazepines and related medications are the internationally accepted drugs\nfor short-term treatment of pathological anxiety and temporary sleep disturbances.\nThey are also used for mild forms of uneasiness and anxiety. Benzodiazepines are\nprescribed most often by general practitioners, as well as by psychiatrists and occasionally\nby internists.","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",237,133,"Polypharmacy – Elderly Who Consume Three or More Psychopharmacological Drugs","Percentage of people age 80 and older who were consuming three or more psychopharmacological drugs concurrently.","n/a","Concurrent treatment with three or more psychopharmacological drugs, either regularly\nor as needed, is an accepted indicator of polypharmacy. Concurrent consumption\nof multiple pharmacological drugs not only increases the risk of adverse effects\nand drug-drug interactions, but may point to inadequate treatment of psychiatric\nconditions. It is one of the Swedish National Board of Health and Welfare indicators\nfor good drug therapy in the elderly.","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",186,134,"Consumption of Appropriate Soporifics by the Elderly","Percentage of people age 80 and older who were using appropriate soporifics (zopiklon).","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",122,135,"Avoidable Inpatient Medical Care for People with a Psychiatric Diagnosis","Number of people age 20-59 with avoidable inpatient medical care events and previous psychiatric care per 100 000 inhabitants. Age-standardised.","n/a","This indicator reflects the quality of outpatient treatment, such as primary care and\npreventive public health efforts, for certain specific conditions. The assumption is\nthat unnecessary hospitalisation can be avoided if patients with the selected conditions\nreceive proper outpatient medical care.","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",125,136,"Readmission within 14 and 28 Days after Treatment for Schizophrenia","Percentage of patients age 20–59 who were readmitted within 28 days after inpatient care for schizophrenia.\nThis indicator reflects discharge from inpatient care that is premature or is not followed up by coordinated monitoring and outpatient care. Measuring readmission within one month sheds light on the quality of inpatient care.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",129,137,"Readmission within 3 and 6 Months after Treatment for Schizophrenia","Percentage of patients age 20–59 who were readmitted within 3 or 6 months after inpatient care for schizophrenia","n/a","This indicator is intended as a tool in assessing follow-up and care after discharge.\nThe percentage of readmissions within six months can help describe the quality of\noutpatient care, municipal and social service interventions, and the interplay between\nthe various providers. Readmission within 14 or 28 days is regarded as a more\naccurate gauge of inpatient care quality. The indicator is part of the preliminary\nnational guidelines for psychosocial interventions in schizophrenia.","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",142,138,"Compliance with Lithium Therapy for Bipolar Disorder","Percentage of patients age 18 and older with ongoing lithium therapy who continued treatment. Age-standardised.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",20,139,"Child and Adolescent Psychiatry – Appointment within 30 Days","Appointments at child and adolescent psychiatric clinics – percentage of patients with waiting times longer than 30 days of everyone on the waiting list","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",20,140,"Adult Psychiatry – Appointment within 90 Days","Appointments at adult psychiatric clinics – percentage of patients with waiting times longer than 90 days of everyone on the waiting list","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",150,141,"Percentage of Recidivists during Forensic Psychiatric Care",null,"n/a","The objective\nof forensic psychiatric care is to prevent recidivism, as well as recurrence of mental\nillness or substance abuse.\nThe period of care averages approximately five years, which permits the development\nof trusting relationships between patients and caregivers. The compulsory\nnature of the care makes it particularly important that the patient is willing to cooperate.\nFully respecting the patient’s privacy and autonomy is a delicate task. Such\ncare must be of uniform high quality throughout the country. The various services\nneed to compare their results with each other in order to progress and improve.","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",150,142,"Obesity among Forensic Psychiatric Patients","Percentage of forensic psychiatric patients with BMI above 30","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",131,143,"Reoperation for Inguinal Hernia","Percentage of inguinal hernia repair cases not reoperated on within five years.","The indicator estimates the odds of not needing a reoperation within five years – “survival” in accordance with a Kaplan-Meier analysis.","Inguinal hernia operations represent the most common general surgical procedure in Sweden.\nSuccessful surgery is an uncomplicated procedure requiring approximately one\nweek of sick leave and normally followed by freedom from symptoms. But surgery\ncan also lead to recurrence of the hernia and chronic pain conditions or feelings of\ndiscomfort. There was a time when close to 20 per cent of all patients had a recurrence\nof hernia. Newer surgical methods and materials have sharply reduced the\nrecurrence rate.","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",54,144,"Inguinal Hernia – Percentage of Day-case Operations","Percentage of day-case operations for inguinal hernia","n/a","Day-case surgery, a common approach, is less resource-intensive than inpatient care. The purpose of this indicator is to identify variations in resource utilisation.","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",116,145,"Bleeding Ulcer – 365-day Case Fatality Rate","Percentage of deaths within one year after hospitalisation for bleeding ulcer. Also includes deaths at hospital. Age-standardised.","n/a","Bleeding ulcer is an acute life-threatening condition that requires hospitalisation.\nThe risk increases substantially with age. Men are at greater risk than women of\ndeveloping a bleeding ulcer.","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",135,146,"Monitoring Patients after Bariatric Surgery","the percentage of patients who have been monitored at oneyear follow-up after bariatric surgery","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",136,147,"Loss of Excess BMI One Year after Bariatric Surgery","Loss of excess BMI one year after bariatric surgery. \nThis indicator is an internationally established outcome measure for bariatric surgery.\nThe variable is the percentage of preoperative excess weight that the patient\nhas lost one year after surgery. Preoperative excess weight is defined as the difference\nbetween the preoperative BMI value and 25. Weight loss (occasionally gain) is\nthe difference between BMI one year after surgery and the preoperative level.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",68,148,"Minimally Invasive Cholecystectomy","Percentage of cholecystectomies performed as minimally invasive procedures","n/a","Gallstone disease is a common condition.","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",179,149,"Surgical Complications following Cholecystectomy","Percentage of postsurgical complications within 30 days of elective cholecystectomy.\nThis indicator reflects postoperative complications within 30 days of elective cholecystectomy.\nAmong possible complications are bleeding, infection and bile leakage.\nAll types of surgery are associated with the risk of complications. The complications\npresented here are specific to cholecystectomy and require some kind of\nintervention.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",148,150,"Use of Antibiotics prior to Cholecystectomy","The indicator shows the percentage of elective cholecystectomies for which antibiotic prophylaxis is given.","n/a","Whether antibiotics are required prior to elective cholecystectomy in order to prevent\npostoperative infection has long been a topic of debate. Quite a few studies, including\none based on a relatively large number of patients in the Swedish National\nRegister for Gallstone Surgery and ECRP, have found that antibiotic prophylaxis\ndoes not reduce the risk. Thus, the current recommendation is that it not be administered.","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",96,151,"Cost per DRG Point for Cholecystectomy",null,"n/a","Up to this point, the costs associated with various conditions or treatment methods\nhave been reported per care event. That approach does not consider case mix or the\ndiffering resources required for particular care events even though the basic disease\nis the same. The section on overall indicators and costs describes cost per DRG\npoint, thereby relating costs to performance by considering resource utilisation, i.e.,\nthe productivity of the healthcare system.","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",148,152,"Waiting Times for Carotid Endarterectomy","Percentage of carotid endarterectomies performed within 14 days. \nThe indicator, which is included in the national stroke guidelines, reflects the quality of both stroke care and vascular surgery.","n/a","Carotid endarterectomy is surgery for stenosis of the carotid artery. Blood clots can\nform on the arterial wall and travel to the brain where they may cause a transient\nischaemic attack (TIA) or permanent cerebral infarction (stroke). Carotid endarterectomy\nremoves the stenosis. Most operations are performed as a secondary preventive\nmeasure after TIA or cerebral infarction with mild to moderate residual\nsymptoms. The procedure is also performed as a primary preventive measure on\nasymptomatic patients who have been diagnosed with high-grade stenosis.","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",116,153,"Death or Amputation after Infrainguinal Bypass for Chronic Cricital Ischaemia","Percentage of deaths or major amputations within 30 days after infrainguinal bypass for chronic cricital ischaemia","n/a","Atherosclerosis leads to narrowing or blockage of the arteries. The disease is associated\nwith considerably reduced life expectancy. Circulation in the legs is often\nimpaired. Claudication refers to mild cases when blood flow is insufficient during\nexertion only, causing pain when walking. In more severe cases referred to as chronic\ncritical ischaemia, blood flow is insufficient even during rest, which increases the\nrisk of cold gangrene.","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",116,154,"Deaths within 90 Days after Elective Surgery for Aortic Aneurysm","The indicator reflects mortality within 90 days after scheduled surgery for an aortic aneurysm.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",93,155,"Cost per Inpatient Care Event for Infrainguinal Bypass Surgery","costs per inpatient care event","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",118,156,"Patient-reported Outcome of Septoplasty","Percentage of patients who were completely or fairly satisfied six months after septoplasty","n/a","Septoplasty is surgery to correct a deviated nasal septum. The main indication for\nthe surgery is nasal congestion. Nasal congestion can produce a number of secondary\nsymptoms, including dryness of the mouth, snoring and fatigue, as well as leading\nto considerably reduced health-related quality of life. Eighty per cent of the\noperations are performed on men.","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",118,157,"Patient-reported Freedom from Symptoms after Tonsillectomy",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",67,158,"Cataract Surgery, Visual Acuity below 0.5 in the Better-seeing Eye","Percentage of patients with visual acuity below 0.5 in the better-seeing eye at the time of cataract surgery","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",118,159,"Self-reported Benefit of Cataract Surgery","Percentage of patients who reported that their visual function had improved three months after cataract surgery","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",112,160,"Risk-adjusted Mortality after Arrival at an Intensive Care Unit","Risk-adjusted mortality within 30 days of arrival at an intensive care unit","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",null,161,"Discharge from an Intensive Care Unit at Night","Percentage of patients who were discharged from an intensive care unit at night","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",128,162,"Unscheduled Readmission to an Intensive Care Unit","Percentage of patients with unscheduled readmission within 72 hours to the same intensive care unit","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",148,163,"Good Viral Control for HIV","Percentage of HIV patients with good viral control (HIV-RNA < 50 copies/ml) of all patients receiving antiretroviral therapy","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",172,164,"Assessment of Pain Intensity at End of Life","Percentage of patients at the end of life who assessed pain intensity on the VAS/NRS scale","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",172,165,"Prescription of Opioids on an as-needed Basis at End of Life","Percentage of patients who were prescribed opioids on an as-needed basis at end of life","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",173,166,"End-of-life Conversations","Percentage of patients for whom end-of-life conversations were held","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",148,167,"Immunomodulators for Relapsing-remitting Multiple Sclerosis","Estimated percentage of patients with secondary progressive multiple sclerosis who were being treated with immunomodulators","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",148,168,"Immunomodulators for Secondary Progressive Multiple Sclerosis",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",139,169,"Improvement after Treatment for Macular Degeneration","Percentage of patients (eyes) who could read at least one more row on the ETDRS eye chart one year after treatment for macular degeneration","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",null,"36A","Per Capita Healthcare Cost by Type of Care","Cost per contact, excluding home health care, dental care and restructuring","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","35_Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",86,"36B","Adjusted Drug Cost Per Capita","Cost of drugs covered by the pharmaceutical benefits scheme per capita","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","36_Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",244,1,"Life Expectancy at birth, at age 30, by sex",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","36_Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",272,2,"Self-assessed general health by sex, education, age (16-84, 35-74)","Individuals who stated that their general health condition is good or very good","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","36_Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",305,3,"Obesity by sex, age group, education","Individuals estimated to have a BMI (Body Mass Index) of 30 or higher based on self-reported data, 16–84 years old.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","36_Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",273,4,"Dental health ","Individuals who stated that they consider their dental health to be fairly good or very good, 16–84 years old","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","36_Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",283,5,"Incidence rate of myocardial infarction per 100 000 inhabitants 20–79 years old. Age-standardised. By education, sex",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","36_Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",280,6,"Incidence rate of lung cancer per 10 000 inhabitants. Age-standardised. By sex, education. ",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","36_Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",256,7,"Policy-related avoidable mortality per 100 000 inhabitants, 1–79 years old. Age-standardised.",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","36_Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",257,8,"Avoidable deaths from ischaemic heart disease per 100 000 inhabitants age 1–79",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","36_Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",293,9,"Impaired mental well-being by sex, age group, education","Individuals who estimated to have a weakened general mental health based on the General Health Questionnaire GHQ12, 16–84 years old.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","36_Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",145,10,"Regular Treatment with Soporifics or Sedatives","Individuals regularly using (\u008b0.5 DDD/day) benzodiazepines per 1 000 inhabitants, 20–79 years old. Age-standardised.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","36_Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",264,11,"Suicides and deaths with undetermined intent per 100 000 inhabitants, 35–79 years old. Age-standardised.",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","36_Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",289,12,"Injuries among children","Children that have received inpatient care caused by an injury event per 100 000 children aged 0–6 years old.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","36_Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",236,13,"Inpatient cases caused by fall injuries, individuals aged 65 and older, per 100 000 inhabitants",null,"n/a","Injuries","n/a","n/a","n/a","n/a","n/a"]
["E","36_Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",98,14,"Vaccination of children – measlesmumps- rubella (MMR)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","36_Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",330,15,"Percentage of children enrolled at preschool aged 1–5 years old",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","36_Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",null,16,"Teachers with formal training in preschools","Percentage of employees within preschools with formal teacher training.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","36_Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",329,17,"Eligibility for uppers-secondary school","Pupils in grade 9 in compulsory school qualifying for upper secondary school to the national vocational programmes.","n/a","Education, work and self-sufficiency","n/a","n/a","n/a","n/a","n/a"]
["E","36_Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",329,18,"Completed upper-secondary school","Pupils who completed an upper-secondary school programme within 4 years (municipality averages).","n/a","Education, work and self-sufficiency","n/a","n/a","n/a","n/a","n/a"]
["E","36_Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",null,19,"Young people who neither work nor study","Individuals (16–25 years old) who neither work nor study during a full calendar year.","n/a","Education, work and self-sufficiency","n/a","n/a","n/a","n/a","n/a"]
["E","36_Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",null,20,"Long-term unemployment","Individuals in the population aged 25–64 years old who have been registered as unemployed or in programmes with activity support for at least six months.","n/a","Education, work and self-sufficiency","n/a","n/a","n/a","n/a","n/a"]
["E","36_Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",229,21,"Long-term assistance","Individuals aged 18 and older who has received long-time assistance (10–12 months of the year).","n/a","Education, work and self-sufficiency","n/a","n/a","n/a","n/a","n/a"]
["E","36_Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",null,22,"Turnout at elections","Eligible voters who participated in municipal election of those citizens who are enrolled in the electoral register","n/a","Participation in society","n/a","n/a","n/a","n/a","n/a"]
["E","36_Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",null,23,"Inhabitants' perceptions of their opportunity to influence decision-making in the municipality","Citizens' possibility of in\u007fuencing th decision-making in the municipality, based on three questions with the satisfaction of in\u007fuence, index on a scale of 1–100.","n/a","Participation in society","n/a","n/a","n/a","n/a","n/a"]
["E","36_Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",317,24,"Access to footpaths and cycle paths","Citizens' assessment of the availability of footpaths and cycle paths in the municipality, on a scale of 1–10.","n/a","Recreation and transport","n/a","n/a","n/a","n/a","n/a"]
["E","36_Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",316,25,"Access to parks, green spaces and the countryside","itizens' assessment of the availability of parks, green spaces and nature in the municipality, on a scale of 1–10.","n/a","Recreation and transport","n/a","n/a","n/a","n/a","n/a"]
["E","36_Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",319,26,"Safe in school","Pupils in grade 5 in compulsory school who answered “agree completely” or “mostly true” in response to the statement “I feel safe at school”, the municipal pupil survey. ","n/a","Safety and social relationships","n/a","n/a","n/a","n/a","n/a"]
["E","36_Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",327,27,"Unsafe environment - individuals who avoid going out alone","Individuals who stated that they often or sometimes avoid going out alone for fear of being attacked, robbed or otherwise molested, 16–84 years old.","n/a","Safety and social relationships","n/a","n/a","n/a","n/a","n/a"]
["E","36_Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",358,28,"Lack of trust in others","Individuals who stated that they generally cannot trust people, 16–84 years old.","n/a","Safety and social relationships","n/a","n/a","n/a","n/a","n/a"]
["E","36_Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",null,29,"Problems relating to isolation among elderly","Individuals who answered yes to the question “Do you ever su\u009fer from loneliness?”, among elderly over\n65 who have home care from the social service in the municipality","n/a","Safety and social relationships","n/a","n/a","n/a","n/a","n/a"]
["E","36_Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",328,30,"Surveying and collaboration: Domestic violence","The first indicator studies the incidence of surveys concerning the extent of violence against adults in the municipalities, while the second measures the incidence of current agreements concerning collaboration between social services for youth and adolescent, preschools and schools in the municipalities.\nDomestic violence, the social service in the municipalities answered questions regarding mapping and\ncollaboration with external stakeholders:\n1. Domestic violence, the social service in the municipalities answered questions regarding mapping and collaboration with external stakeholders:\n2. The social service for children and youth have through agreements cooperated in individual cases together with preschool and schools\n(has followed up a written agreement adopted at management level and established on 1 November 2012 - 1 November 2013).","n/a","Domestic violence","n/a","n/a","n/a","n/a","n/a"]
["E","36_Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",307,31,"Sedentary leisure time","Individuals who stated that they have a sedentary leisure time when asked “How much have you moved about and exerted yourself physically in your leisure time during the past 12 months?”, 16–84 years old.","n/a","Lifestyle and living habits: physical activity","n/a","n/a","n/a","n/a","n/a"]
["E","36_Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",306,32,"Regular physical activity for at least half an hour per day","Regular physical activity – individuals who answers two questions, how much they estimate to be\nengaged in 30 minutes of moderately strenuous activity a day (3.5 hours per week), 16–84 years old.","n/a","Lifestyle and living habits: physical activity","n/a","n/a","n/a","n/a","n/a"]
["E","36_Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",308,33,"Participation in acitivites arranged by sports clubs","Individuals in the age group 13–20 who participate during a year in sports associations that qualify for municipal local activity support, divided by the number of inhabitants aged 13–20.","n/a","Lifestyle and living habits: physical activity","n/a","n/a","n/a","n/a","n/a"]
["E","36_Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",304,34,"Consumption of fruit and vegetables","Individuals who states that they eat fruit and/or vegetables more than 3 times per day, 16–84 years old.","n/a","Lifestyle and living habits:  eating habits","n/a","n/a","n/a","n/a","n/a"]
["E","36_Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",299,35,"Daily smoking","Daily smoking – individuals who reported that they smoke daily, 16–84 years old.","n/a","Lifestyle and living habits: tobacco use","n/a","n/a","n/a","n/a","n/a"]
["E","36_Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",300,36,"Tobacco Use during Pregnancy","Women who smoke or use snus during early pregnancy week 8–12.","n/a","Lifestyle and living habits: tobacco use","n/a","n/a","n/a","n/a","n/a"]
["E","36_Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",302,37,"Risky consumption of alcohol","Indivudals identi ed as risk consumers after their responses to three questions on alcohol consumption,\n16–84 years old.","n/a","Lifestyle and living habits: alcohol use","n/a","n/a","n/a","n/a","n/a"]
["E","36_Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",108,38,"Patients in primary care - discussing lifestyle and living habits","Patients who answered “Yes” to the question: Did the doctor or another member of sta¡ discuss any of the following living habits with you: tobacco, alcohol, exercise or eating habits?","n/a","Lifestyle and living habits: patient-reported experiences","n/a","n/a","n/a","n/a","n/a"]
["E","36_Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",101,39,"Cervical Cancer Screening","Women aged 23–60 who have undergone gynecological cervical screening within recommended intervals","n/a","Lifestyle and living habits: sexual and reproductive health and rights","n/a","n/a","n/a","n/a","n/a"]
["E","36_Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",267,40,"Unprotected sex - chlamydia","Cases of chlamydia infection per 100 000 inhabitants, 15–29 years old.","n/a","Lifestyle and living habits: sexual and reproductive health and rights","n/a","n/a","n/a","n/a","n/a"]
["E","36_Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",104,41,"Unprotected sex - teenage abortions","Abortions among women under 19 years of age per 1 000 women 15–19 years old","n/a","Lifestyle and living habits: sexual and reproductive health and rights","n/a","n/a","n/a","n/a","n/a"]
["E","37_Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",16,null,"Ambulance response times","Emergency responses within 8 minutes (category A, life-threatening), %","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","37_Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",18,null,"Access to GP services","The weighted percentage of GP patient survey respondents who said they had a good experience of making an appointment. The percentage of respondents who answered the relevant question is also presented.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","37_Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",19,null,"Access to NHS dental services","Patient experience of access to NHS dental services, measured by scoring the results of two questions from the GP Patient Survey.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","37_Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",20,null,"Waiting time, referral to treatment","Referral to treatment, % of patients treated within 18 weeks","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","37_Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",22,null,"Waiting time, selected procedures","Waiting times in days for selected procedures (50th and 90th percentile)","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","37_Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",31,null,"Infrastructure staff (WTE)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","37_Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",32,null,"Hospital doctors (WTE)","Medical and dental professionals (WTE), per 1,000 population","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","37_Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",33,null,"General practitioners (GPs) (wholetime equivalent, WTE)","GPs (WTE) per 1,000 population","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","37_Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",33,null,"GPs (headcount)","GPs (headcount) per 1,000 population","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","37_Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",38,null,"Nurses (WTE)","Qualified nursing, midwifery and health visiting staff (WTE) per 1,000 population","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","37_Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",52,null,"Inpatient activity","Inpatient admissions (spells) per 1,000.\nAdmissions are ordinary inpatient admissions (elective and nonelective), excluding day-cases, regular attenders, maternity and births, mental health","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","37_Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",53,null,"Crude productivity, doctors","Inpatient admissions per hospital doctor","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","37_Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",53,null,"Crude productivity, nurses","Inpatient admissions per nurse","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","37_Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",54,null,"Day-cases","Day-cases per 1,000. \nA patient admitted electively during the course of a day with the intention of receiving care who does not\nrequire the use of a hospital bed overnight and who returns home as scheduled. If this original intention is not fulfilled and the patient stays overnight, such a patient should be counted as an ordinary admission.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","37_Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",61,null,"Outpatient activity","All attendances, per 1,000 population","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","37_Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",68,null,"Selected procedures","Selected procedures per 10,000 population (finished consultant episodes, FCE)","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","37_Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",null,null,"Government expenditure on health","Government expenditure on health, per head","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","37_Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",98,null,"Childhood immunisation","Completed immunisations (all antigens) by 12 months, 24 months and 5 years","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","37_Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",100,null,"Influenza vaccination","Seasonal influenza vaccination uptake (%) by target group","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","37_Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",116,null,"One year after 90-day incident survival (%) after renal replacement therapy","Survival in UK renal replacement therapy patients: one year after 90-day incident survival (%) by region\nfor incident cohort years 2002–10, adjusted to age 60","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","37_Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",147,null,"Stroke audit: Percentages of patients treated for 90% of stay in a stroke unit","Stroke audit, key indicators 2006 and 2010","n/a","patients who spent more than 90 per cent of their time in a stroke unit (generally regarded as strongly positive for patient survival and subsequent quality of life)","n/a","n/a","n/a","n/a","n/a"]
["E","37_Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",148,null,"Stroke performance: average performance across nine key indicators of the quality of stroke care","Stroke audit, key indicators 2006 and 2010","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","37_Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",148,null,"Stroke performance: Screened for swallowing disorders within first 24 hours of admission",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","37_Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",148,null,"Stroke performance: Brain scan within 24 hours of stroke",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","37_Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",148,null,"Stroke performance: Commenced aspirin by 48 hours after stroke",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","37_Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",148,null,"Stroke performance: Physiotherapy assessment within the first 72 hours of admission",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","37_Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",148,null,"Stroke performance: Assessment by an occupational therapist within four working days of admission",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","37_Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",148,null,"Stroke performance: Weighed at least once during admission",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","37_Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",148,null,"Stroke performance: Mood assessed by discharge",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","37_Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",148,null,"Stroke performance: Rehabilitation goals agreed by the multidisciplinary team",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","37_Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",181,null,"MRSA mortality","Age-standardised mortality rates for deaths with MRSA (methicillin-resistant\nstaphylococcus aureusis) mentioned on the death certificate (per 1 million population)","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","37_Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",197,null,"Patient satisfaction","Satisfaction with various aspects of the NHS – percentage reporting ‘very satisfied’ or ‘quite satisfied’, 2011","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","37_Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",244,null,"Life expectancy (at birth)","The average number of years that a person born in a specific year is expected to live","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","37_Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",258,null,"Amenable mortality","Mortality (standardised death rate) from causes amenable to health care","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",132,"2.","Health-related quality of life for people with long-term conditions","The directly standardised average (mean) EQ-5D™ score for people self-reporting one or more long-term conditions.\nThis indicator measures health-related quality of life for people who identify themselves as having one or more long-standing health conditions. Health-related quality of life refers to the extent to which people: i) have problems walking about; ii) have problems performing self-care activities (washing or dressing themselves); iii) have problems performing their usual activities (work, study etc.); iv) have pain or discomfort;","n/a","n/a","n/a","GP Patient Survey (GPPS) from Ipsos MORI (http://www.gp-patient.co.uk/) – Official Statistics","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",260,"1.1.","Under 75 mortality rate from cardiovascular disease","A measure of the likelihood of dying of heart disease under the age of 75, which allows for comparisons between populations with different age profiles and over time.\nDirectly age-standardised mortality rate from cardiovascular disease for people aged under 75.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",260,"1.2.","Under 75 mortality rate from respiratory disease","A measure of the likelihood of dying of respiratory disease under the age of 75, which allows for comparisons between populations with different age profiles and over time.\nDirectly standardised mortality rate from respiratory disease for people aged under 75.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",260,"1.3.","Under 75 mortality rate from liver disease","A measure of the likelihood of dying of liver disease under the age of 75, which allows for comparisons between populations with different age profiles and over time.\nDirectly standardised mortality rate from liver disease for people aged under 75","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",260,"1.4.","Under 75 mortality rate from cancer","A measure of the likelihood of dying of cancer under the age of 75, which allows for comparisons between populations with different age profiles and over time.\nDirectly standardised mortality rate from cancer for people aged under 75.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",116,"1.4.i.","One-year survival from all cancers","A measure of the number of adults diagnosed with any type of cancer in a year who are still alive one year after diagnosis.\nOne-year net survival for adults (15-99 years) suffering from any type of cancer.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",116,"1.4.ii.","Five-year survival from all cancers","A measure of the number of adults diagnosed with any type of cancer in a year who are still alive five years after diagnosis.\nFive-year net survival for adults (15-99 years) suffering from any type of cancer.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",116,"1.4.iii.","One-year survival from breast, lung and colorectal cancer","A measure of the number of adults diagnosed with breast, lung and colorectal cancer in a year who are still alive one year after diagnosis.\nOne-year net survival for adults (15-99 years) suffering from breast, lung or colorectal cancer.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",116,"1.4.iv.","Five-year survival from breast, lung and colorectal cancer","A measure of the number of adults diagnosed with breast, lung or colorectal cancer in a year who are still alive five years after diagnosis.\nFive-year net survival for adults (15-99 years) suffering from breast, lung or colorectal cancer.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",116,"1.4.v.","One-year survival from cancers diagnosed at stage 1&2","check PHOF 2.19","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",116,"1.4.vi.","Five-year survival from cancers diagnosed at stage 1&2","check PHOF 2.19","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",261,"1.5.i.","Excess under 75 mortality rate in adults with serious mental illness","A measure of the extent to which adults with a serious mental illness die younger than adults in the general population.\nThe ratio (expressed as a percentage) of the observed number of deaths in adults in contact with secondary mental health services to the expected number of deaths in that population based on age and gender-specific mortality rates in the general population in England.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",261,"1.5.ii.","Excess under 75 mortality rate in adults with common mental illness","nA","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",143,"1.5.iii.","Suicide and mortality from injury of undetermined intent among people with recent contact from NHS services","check PHOF 4.10","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",250,"1.6.i.","Infant mortality","The number of deaths at ages under one year, per 1,000 live births.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",116,"1.6.ii.","Five-year survival from all cancers in children","Five-year net survival for children (0-14 years) suffering from any type of cancer.\nFive-year survival is a measure of the number of children diagnosed with cancer in a year who are still alive five years after diagnosis.","The five-year survival rate is the cumulative probability of all-cause (overall) survival up to five years after diagnosis using the actuarial method. This means that all deaths are included in the analysis, whatever the cause of death written on the death certificate. For the adult cancer indicators the net survival indicator is used to compensate for mortality from other causes, which may be considerable. For children, overall survival is considered a reliable estimator of cancer survival because, unlike in adults, death within five years of diagnosis is almost always due to the cancer.\nSurvival varies with age at diagnosis, and the age profile of patients can change over time.\nTo enable comparison of overall survival for the age range 0–14 years over long periods of\ntime, age-standardised estimates are calculated as a weighted sum of the age-specific survival estimates. For children, it is conventional to use equal weights for the three five-year age groups, 0–4, 5–9 and 10–14 years, by taking the simple arithmetic mean of the age-specific survival estimates.","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",247,"1a.i.","Potential years of life lost from causes considered amenable to healthcare – adults","The number of years of life lost by every 100,000 adults aged 20 and over dying from conditions which are usually treatable, measured in a way which allows for comparisons between populations with different age profiles and over time.","The PYLL rate is calculated by weighting the number of ‘amenable’ deaths in a given year by the number of additional years the person who died might have been expected to live in the presence of timely and effective healthcare.\nThe average age-specific life expectancies for each five-year age band are used to weight the number of deaths in that age band to give the average number of years of life lost for that age band. The life expectancy for the 90+ age band is calculated as an average of the single-year life expectancies for ages 90 to 100. This is then applied to the number of deaths for people aged 90 or over. The age-specific period life expectancy is different for each year and gender and can be found in appendices 2a and 2b. The total number of years of life lost for males and females is summed for each age band and the result is expressed as a European age-standardised rate per 100,000 population. For person-level PYLL values the total number of years of life lost for males and females is added up to get a years of life lost (YLL) value for all persons. This is then expressed as a European age-standardised rate per 100,000 population as for males and females.","n/a","n/a","n/a","by age, gender, geo area","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",247,"1a.ii.","Potential years of life lost from causes considered amenable to healthcare – children and young people","The number of years of life lost by every 100,000 persons aged 0 to 19 dying from conditions which are usually treatable, measured in a way which allows for comparisons between populations with different age profiles and over time.","The PYLL rate is calculated by weighting the number of ‘amenable’ deaths in a given year by the number of additional years the person who died might have expected to live in the presence of timely and effective healthcare.\nThe average age-specific life expectancies for each five-year age band are used to weight the number of deaths in that age band to give the average number of years of life lost for that age band. The age-specific period life expectancy is different for each year and gender and can be found in appendices 2a and 2b. The total number of years of life lost for males and females is summed for each age band and the result is expressed as a European age-standardised rate per 100,000 population. For person-level PYLL values the total number of years of life lost for males and females is added up to get a years of life lost (YLL) value for all persons. As for males and females, this is then expressed as a European age-standardised rate per 100,000 population.","n/a","n/a","n/a","by gender","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",244,"1b","Life expectancy at 75: i. males and ii. females","The average number of additional years a man or woman aged 75 can be expected to live if they continue to live in the same place and the death rates in their area remain the same for the rest of their life.","n/a","n/a","n/a","n/a","by gender","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",252,"1c","Neonatal mortality and stillbirths","The number of babies stillborn or dying before 28 days old for every 1,000 that were born alive or stillborn.","The rate is per thousand live births and stillbirths. The numerator is the number of stillbirths and deaths under 28 days occurring during the year. The denominator is the number of live births and stillbirths occurring during the year.","n/a","n/a","n/a","by gender, mother age, deprivation, geo area","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",235,"2.1.","Proportion of people feeling supported to manage their long-term condition","The directly standardised proportion of people with a long-term health condition who report having had enough support from local services or organisations to help manage their condition, in the last six months. Patients are asked to consider all services and organisations, not just health services. This is expressed as a percentage.","n/a","n/a","n/a","GP Patient Survey (GPPS) from Ipsos MORI (http://www.gp-patient.co.uk/) – Official Statistics","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",null,"2.2.","Employment of people with long-term conditions","The percentage point difference between the rate of employment in the general working age population (aged 16-64) and the rate of employment amongst those working age adults self-reporting a long-term condition. Both component employment rates are reported alongside the indicator.","n/a","n/a","n/a","Labour Force Survey (LFS)","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",122,"2.3.i.","Unplanned hospitalisation for chronic ambulatory care sensitive conditions","the number of times people with specific long-term conditions, which should not normally require hospitalisation, are admitted to hospital in an emergency. These conditions include, for example, diabetes, convulsions and epilepsy, and high blood pressure.\nThe indirectly standardised rate, per 100,000 population, of emergency admissions for chronic ambulatory care sensitive conditions in the respective quarter of the financial year for people of all ages.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",122,"2.3.ii.","Unplanned hospitalisation for asthma, diabetes and epilepsy in under 19s","The indirectly standardised rate, per 100,000 population, of emergency hospital admissions for young people with a primary diagnosis of asthma, diabetes or epilepsy in the respective quarter of the financial year and annually.\nThis indicator measures how many times young people (aged 0 to18 inclusive) who have asthma, diabetes or epilepsy are admitted to hospital in an emergency.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",133,"2.4.","Health-related quality of life for carers","The directly standardised average (mean) EQ-5DTM score for individuals reporting that they are carers, measured based on responses to the GP Patient Survey.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",null,"2.5.i","Employment of people with mental illness","The percentage point difference between the rate of employment in the general working age population (aged 16-64) and the rate of employment amongst those working age adults self-reporting a mental illness. Both component employment rates are reported alongside the indicator.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",132,"2.5.ii.","Health-related quality of life for people with mental illness","check ASCOF 1A** & PHOF 1.6","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",297,"2.6.i.","Estimated diagnosis rate for people with dementia","Estimated diagnosis rate for dementia. The estimate of the number of people with dementia is based on published research.\nNot all people who have dementia are diagnosed with the condition. This indicator measures the number of people that have been diagnosed with dementia as a percentage of the number who are estimated to have the condition.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",132,"2.6.ii.","A measure of the effectiveness of post-diagnosis care in sustaining independence and improving quality of life","check ASCOF 2F","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",132,"2.7.","Health-related quality of life for people with three or more long-term conditions","check ASCOF 1A","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",118,"3.1.i.","Total health gain as assessed by patients for elective procedures: Physical health-related procedures","nA","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",118,"3.1.ii.","Total health gain as assessed by patients for elective procedures: Psychological therapies","nA","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",118,"3.1.iii.","Total health gain as assessed by patients for elective procedures: Recovery in quality of life for patients with mental illness","nA","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",122,"3.2.","Emergency admissions for children with LRTI","Emergency admissions to hospital of children with selected types of lower respiratory tract infections (bronchiolitis, bronchopneumonia and pneumonia). It is expressed as the indirectly standardised rate of admissions per 100,000 population aged under 19 (0 to 18 years).","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",116,"3.3.","Survival from major trauma","nA","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",118,"3.4.","Proportion of stroke patients reporting an improvement in activity/lifestyle on the Modified Rankin Scale at 6 months","nA","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",137,"3.5.i.","Hip fracture: Proportion of patients recovering to their previous levels of mobility/walking ability at 30 days","The proportion of patients, expressed as a percentage, with a hip fracture recovering to their previous levels of mobility at 30 days after admission.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",137,"3.5.ii.","Hip fracture: Proportion of patients recovering to their previous levels of mobility/walking ability at 120 days","The proportion of patients, expressed as a percentage, with a hip fracture recovering to their previous levels of mobility at 120 days after admission.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",137,"3.6.i.","Proportion of older people (65 and over) who were still at home 91 days after discharge from hospital into reablement/rehabilitation service","The proportion, expressed as a percentage, of older people aged 65 and over discharged from hospital to their own home or to a residential or nursing care home or extra care housing for rehabilitation, with a clear intention that they will move on/back to their own home (including a place in extra care housing or an adult placement scheme setting), who are at home or in extra care housing or an adult placement scheme setting 91 days after the date of their discharge from hospital.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",138,"3.6.ii.","Proportion offered rehabilitation following discharge from acute or community hospital","The proportion, expressed as a percentage, of older people aged 65 and over offered reablement services following discharge from hospital.\nReablement/rehabilitation services are focused on improving people’s health, well-being, confidence and independence after an acute episode of ill health, injury or a gradual decline in functioning in the community. They include all episodes of support provided that are intended to be time limited and aim at maximising the independence of the individual and reducing/eliminating their need for on-going support.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",122,"3.7.ii.","Tooth extractions due to decay for children admitted as inpatients to hospital aged 10 years and under","The crude rate of the number of finished consultant episodes (FCEs) where a tooth extraction was performed on a child aged 10 years or under at the start of the episode of care, due to tooth decay, per 100,000 resident population.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",122,"3a","Emergency admissions for acute conditions that should not usually require hospital admission","Emergency admissions to hospital (indirectly standardised rate per 100,000 population) of persons with acute conditions (ear/nose/throat infections, kidney/urinary tract infections, heart failure, among others) that usually could have been avoided through better management in primary care.\nPrimary care describes community based health services that are usually the first, and often the only, point of contact that patients have with the health service. It covers services provided by family doctors (GPs), community and practice nurses, community therapists (such as physiotherapists and occupational therapists), community pharmacists, optometrists, dentists and midwives.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",125,"3b","Emergency readmissions within 30 days of discharge from hospital","Indirectly standardised percentage of emergency admissions to any hospital in England occurring within 30 days of the last, previous discharge after admission. Admissions for cancer and obstetrics are excluded.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",197,"4.1.","Patient experience of outpatient services","The average patient experience measured across the three stages of the care pathway: pre-visit; during the visit to the Outpatients Department; and the transition/post-visit period.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",197,"4.2.","Responsiveness to inpatients’ personal needs","This indicator uses survey results to specifically look at responsiveness of hospital staff to inpatients’ personal needs.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",197,"4.3.","Patient experience of A&E services","Patient experience of accident and emergency, measured by scoring the results of a selection of questions from the A&E Department Survey.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",197,"4.5.","Women’s experiences of maternity services","This indicator uses survey results to specifically look at the user experience of maternity services, with regards to choice, information, confidence in staff and clinical care.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",197,"4.6.","Bereaved carers’ views on the quality of care in the last three months of life","This indicator measures the experience of care for people at the end of their lives, based on the views of bereaved carers, from the National Survey of Bereaved People.\nMeasure of the experience of the quality of care received in the last three months of life.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",197,"4.7.","Patient experience of community mental health services","Patient experience of community mental health services based on contact with a health and social care worker.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",197,"4.8.","Children and young people’s experience of inpatient services","nA","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",197,"4.9.","People’s experience of integrated care","nA, check ASCOF 3E**","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",197,"4a.i.","Patient experience of primary care - GP services","This indicator measures the weighted percentage of people who report their overall experience of GP services as ‘fairly good’ or ‘very good’.\nPatient experience of GP services, measured by scoring the results of one question from the GP Patient Survey.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",197,"4a.ii.","Patient experience of primary care – GP out-of-hours services","This indicator measures the weighted percentage of people who report their overall experience of GP out-of-hours services as ‘very good’ or fairly good’.\nPatient experience of GP out-of-hours services, measured by scoring the results of one question from the GP Patient Survey.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",197,"4a.iii.","Patient experience of primary care - NHS dental services","This indicator measures the weighted percentage of people who report their overall experience of NHS dental services as ‘very good’ or ‘fairly good’.\nPatient experience of NHS dental services, measured by scoring the results of one question from the GP Patient Survey.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",197,"4b","Patient experience of hospital care","This indicator measures patient experience by scoring the results of a selection of questions from the National Inpatient Survey.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",197,"4c","Friends and family test","nA","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",197,"4d.i.","Patient experience characterised as poor or worse: Primary care","nA","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",197,"4d.ii.","Patient experience characterised as poor or worse: Hospital care","nA","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",179,"5.1.","Deaths from venous thromboembolism (VTE) related events within 90 days post discharge from hospital","The indicator is a national mortality rate from a VTE related cause that occurred within 90 days of a patient’s last discharge from hospital where they were treated for any cause, per 100,000 adult hospital admissions.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",180,"5.2.i.","Incidence of healthcare associated infection (HSAI) – MRSA","The number of Methicillin-resistant Staphylococcus aureus (MRSA) infections reported to Public Health England.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",180,"5.2.ii.","Incidence of healthcare associated infection (HSAI) – C. difficile","The number of Clostridium difficile infections reported to Public Health England (PHE), in patients aged two years or older.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",182,"5.3.","Proportion of patients with category 2, 3 and 4 pressure ulcers","nA","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",182,"5.4.","Hip fractures from falls during hospital care","nA","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",121,"5.5.","Admission of full-term babies to neonatal care","Number of full-term neonatal episodes, as a percentage of all full-term births.\nThe number of full-term babies (gestation greater than 36 weeks) admitted within 28 days of birth to a neonatal unit, expressed as a percentage of all full-term births.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",176,"5.6.","Patient safety incidents reported","The rate or number of patient safety incidents reported to the National Reporting and Learning System (NRLS) by provider organisations.\nThe number of patient safety incidents reported to the National Reporting and Learning System (NRLS) by provider organisations, per 100,000 population.\nA patient safety incident (PSI) is defined as ‘any unintended or unexpected incident(s) that could have, or did, lead to harm for one or more person(s) receiving NHS funded healthcare’.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",181,"5a","Deaths attributable to problems in healthcare","nA","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","38_NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",181,"5b","Severe harm attributable to problems in healthcare","nA","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","39_Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",264,2,"Suicide","The World Health Organization defines suicide as an\nact deliberately initiated and performed by a person in\nthe full knowledge or expectation of its fatal outcome.","Mortality rates are based on numbers of deaths registered\nin a country in a year divided by the size of the\ncorresponding population. The rates have been\ndirectly age-standardised to the 2010 OECD population\nto remove variations arising from differences in\nage structures across countries and over time.","n/a","n/a","WHO Mortality Database","n/a","n/a","n/a"]
["E","39_Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",4,null,"Unmet care needs for dental examination by income level","Unmet medical or dental care needs may be for financial reasons, waiting times or long distance to travel to get access to services.","n/a","n/a","n/a","OECD","n/a","n/a","n/a"]
["E","39_Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",5,null,"Out-of-pocket medical spending as a share of final household consumption","Out-of-pocket payments are expenditures borne directly by a patient where neither public nor private insurance cover the full cost of the health good or service. They include cost-sharing and other expenditure paid directly by private households and should also include estimations of informal payments to health care providers. Only expenditure for medical spending (i.e. current health spending less expenditure for the health part of long-term care) is presented here, because the capacity of countries to estimate private long-term care expenditure varies widely.\nHousehold final consumption expenditure covers all purchases made by resident households to meet their everyday needs such as food, clothing, rent or health services.","n/a","n/a","n/a","OECD","services and goods","n/a","n/a"]
["E","39_Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",22,null,"Reported waits for elective surgery",null,"n/a","timeliness of access to health care","n/a","Commonwealth Fund. 2010 International Health Policy Survey in Eleven Countries.","n/a","n/a","n/a"]
["E","39_Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",32,null,"Practising doctors per 1 000 population",null,"n/a","n/a","n/a","OECD","n/a","n/a","n/a"]
["E","39_Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",38,null,"Practising nurses per 1 000 population",null,"n/a","n/a","n/a","OECD","n/a","n/a","n/a"]
["E","39_Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",46,null,"Hospital beds per 1 000 population",null,"n/a","n/a","n/a","OECD","n/a","n/a","n/a"]
["E","39_Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",55,null,"Average length of stay in hospital, all causes (days)",null,"n/a","n/a","n/a","OECD","n/a","n/a","n/a"]
["E","39_Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",86,null,"Expenditure on pharmaceuticals per capita","Pharmaceutical expenditure covers spending on pre- scription medicines and self-medication, often referred to as over-.the-counter products. In some countries, other medical non-durable goods are also included. Pharmaceuticals consumed in hospitals and other health care settings are excluded. Final expendi- ture on pharmaceuticals includes wholesale and retail margins and value-added tax. It also includes phar- macists’ remuneration when the latter is separate from the price of medicines. Total pharmaceutical spending refers in most countries to “net” spending,\ni.e. adjusted for possible rebates payable by manufac- turers, wholesalers or pharmacies.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","39_Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",98,null,"Childhood vaccination programme","Vaccination rates reflect the percentage of children that receives the respective vaccination in the recom- mended timeframe. The age of complete immunisation differs across countries due to different immunisation schedules. For those countries recommending the first dose of a vaccine after age one, the indicator is calculated as the proportion of children less than two years of age who have received that vaccine. Thus, these indicators are based on the actual policy in a given country.\nSome countries administer combination vaccines (e.g. DTP for diphtheria, tetanus and pertussis) while oth- ers administer the vaccinations separately. Some countries ascertain vaccinations based on surveys and others based on encounter data, which may influ- ence the results.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","39_Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",100,null,"Influenza vaccination coverage, population aged 65 and over","Influenza vaccination rate refers to the number of people aged 65 and older who have received an annual influenza vaccination, divided by the total number of people over 65 years of age.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","39_Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",101,null,"Breast cancer screening","defined in indicator “Screening, survival and mortality for cervical cancer” ","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","39_Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",101,null,"Cervical cancer screening","Screening rates are based on surveys or encounter data, which may influence the results. Survey-based results may be affected by recall bias. Programme data are often calculated for monitoring national screening programmes and differences in target population and screening frequency may also lead to variations in screening coverage across countries.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","39_Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",112,null,"Thirty-day mortality after admission to hospital for AMI based on admission data","The case-fatality rate measures the percentage of people aged 45 and over who die within 30 days following admission to hospital for a specific acute condition. Rates based on admission data refer to the death occurred in the same hospital as the initial admission. Admissions resulting in a transfer were excluded for all countries except Australia, Belgium, Denmark, Hungary, Ireland, Israel, Japan, Luxembourg, Mexico, Netherlands, Slovak Republic and Sweden. This exclusion generally increases the rate compared with those countries which do not exclude these transfers. Rates based on patient data refer to the death occurred in the same hospital, a different hos- pital, or out of hospital.\nRates are age-sex standardised to the 2010 OECD population aged 45+ admitted to hospital for a specific acute condition such as AMI and ischemic stroke.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","39_Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",112,null,"Thirty-day mortality after admission to hospital for ischemic stroke based on admission data","The case-fatality rate measures the percentage of people aged 45 and over who die within 30 days following admission to hospital for a specific acute condition. Rates based on admission data refer to the death occurred in the same hospital as the initial admission. Admissions resulting in a transfer were excluded for all countries except Australia, Belgium, Denmark, Hungary, Ireland, Israel, Japan, Luxembourg, Mexico, Netherlands, Slovak Republic and Sweden. This exclusion generally increases the rate compared with those countries which do not exclude these transfers. Rates based on patient data refer to the death occurred in the same hospital, a different hos- pital, or out of hospital.\nRates are age-sex standardised to the 2010 OECD population aged 45+ admitted to hospital for a specific acute condition such as AMI and ischemic stroke.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","39_Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",116,null,"Cervical cancer five-year relative survival","Relative survival is the ratio of the observed survival experienced by cancer patients over a specified period of time after diagnosis to the expected survival in a comparable group from the general population in terms of age, sex and time period. \nCountries use either period analysis or cohort analysis to calculate cancer survival. Period analysis gives an up-to-date estimate of cancer patient survival using more recent incidence and follow-up periods than cohort analysis which uses survival information of a complete five-year follow-up period. The reference periods for diagnosis and follow-up years vary across countries.\nCancer survival presented have been age-standardised using the International Cancer Survival Standard (ICSS) population.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","39_Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",116,null,"Breast cancer five-year relative survival","defined in indicator “Screening, survival and mortality for cervical cancer” ","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","39_Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",116,null,"Colorectal cancer, five-year relative survival","Survival and mor- tality rates of colorectal cancer are based on ICD-10 codes C18-C21 (colon, rectosigmoid junction, rectum, and anus).","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","39_Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",122,null,"(Avoidable) Asthma and COPD hospital admission","The indicators are defined as the number of hospital admissions with a primary diagnosis of asthma, COPD and CHF among people aged 15 years and over per 100 000 population. Rates were age-sex standardised to the 2010 OECD population aged 15 and over.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","39_Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",122,null,"Diabetes hospital admission in adults","The indicator for diabetes hospital admission is defined as the number of hospital admissions with a primary diagnosis of diabetes among people aged 15 years and over per 100 000 population. The indicator for major lower extremity amputation in adults with diabetes is defined as the number of discharges of people aged 15 years and over per 100 000 popula- tion, for the general population and the estimated dia- betic population. Rates for both indicators were age- sex standardised to the 2010 OECD population aged 15 and over.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","39_Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",129,null,"Schizophrenia re-admissions to the same hospital, 2011 (Age-sex standardised rates per 100 patients)",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","39_Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",129,null,"Bi-polar re-admissions to the same hospital, 2011 (Age-sex standardised rates per 100 patients).",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","39_Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",129,null,"Bi-polar re-admissions to the same hospital, 2011 (Age-sex standardised rates per 100 patients).",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","39_Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",177,null,"Obstetric trauma, vaginal delivery with/without instrument","The two obstetric trauma indicators are defined as the proportion of instrument assisted/non-assisted vaginal deliveries with third- and fourth-degree obstetric trauma codes in any diagnosis and procedure field. Therefore, any differences in the definition of principal and secondary diagnoses have no influence on the calculated rates. ","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","39_Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",220,null,"Share of generic market","A generic is defined as a pharmaceutical product which has the same qualitative and quantitative com- position in active substances and the same pharma- ceutical form as the reference product, and whose bioequivalence with the reference product has been demonstrated. Generics can be classified in branded generics (generics with a specific trade name) and unbranded generics (which use the international non- proprietary name and the name of the company).\nIn many countries, the data cover all pharmaceutical consumption. However, several countries provide data covering only the community pharmaceutical market or the reimbursed pharmaceutical market.\nThe share of generic market expressed in value can be the turnover of pharmaceutical companies, the amount paid for pharmaceuticals by third-party payers, or the amount paid by all payers (third-party and consumers). The share of generic market in volume can be expressed in DDDs or as a number of packages/ boxes or standard units.","n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","39_Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",246,null,"Healthy life years at age 65",null,"n/a","n/a","n/a","n/a","n/a","n/a","n/a"]
["E","40_Ann Roinn Sláinte Department of Health. (2015). NHQRS-National Healthcare Quality Reporting System - First annual report 2014. Retrieved from Dublin: http://health.gov.ie/wp-content/uploads/2015/03/NHQRS-Annual-Report-2014.pdf",69,null,"Caesarean Section Rate","The rate of caesarean section deliveries per 100 live births.","Data are based on the caesarean section rate per 100 live births for total maternities.","3. Helping people when they are being treated and cared for in our health services","n/a","National Perinatal Reporting System (NPRS)","n/a","n/a","n/a"]
["E","40_Ann Roinn Sláinte Department of Health. (2015). NHQRS-National Healthcare Quality Reporting System - First annual report 2014. Retrieved from Dublin: http://health.gov.ie/wp-content/uploads/2015/03/NHQRS-Annual-Report-2014.pdf",98,null,"Immunisation rates for MMR at 24 months","% of children 24 months of age who have received the MMR (measles, mumps and rubella) vaccine","Numerator:\nNumber of children who have received the 1st dose of MMR vaccination by their second birthday.\nDenominator:\nNumber of children who have reached their second birthday.","1. Helping people to stay healthy and well","n/a","Health Protection Surveillance Centre","n/a","n/a","n/a"]
["E","40_Ann Roinn Sláinte Department of Health. (2015). NHQRS-National Healthcare Quality Reporting System - First annual report 2014. Retrieved from Dublin: http://health.gov.ie/wp-content/uploads/2015/03/NHQRS-Annual-Report-2014.pdf",98,null,"Immunisation rates for Meningitis C at 24 months","% of children 24 months of age who have received third dose of the Meningitis C vaccine","Numerator:\nNumber of children who have received 3 doses of the Meningitis C vaccination by their second birthday.\nDenominator:\nNumber of children who have reached their second birthday.","1. Helping people to stay healthy and well","n/a","Health Protection Surveillance Centre","n/a","n/a","n/a"]
["E","40_Ann Roinn Sláinte Department of Health. (2015). NHQRS-National Healthcare Quality Reporting System - First annual report 2014. Retrieved from Dublin: http://health.gov.ie/wp-content/uploads/2015/03/NHQRS-Annual-Report-2014.pdf",100,null,"Immunisation against influenza for persons aged 65 years and over with medical card","% of people aged 65 years and over with a medical card or GP Visit Card who have been vaccinated against influenza","Numerator:\nNumber of medical card and GP Visit Card holders aged 65 years and over who have received the influenza vaccine from a GP or (from 2012/2013) from a pharmacist.\nDenominator:\nNumber of medical card and GP Visit Card holders aged 65 years and over.","1. Helping people to stay healthy and well","n/a","Health Protection Surveillance Centre","n/a","n/a","n/a"]
["E","40_Ann Roinn Sláinte Department of Health. (2015). NHQRS-National Healthcare Quality Reporting System - First annual report 2014. Retrieved from Dublin: http://health.gov.ie/wp-content/uploads/2015/03/NHQRS-Annual-Report-2014.pdf",101,null,"Screening rate for breast cancer","Percentage uptake of breast screening by eligible women in the population","Numerator: the number of eligible women in the population who were invited in the reporting period and have had a satisfactory screening test\nDenominator: the number of eligible women invited in the reporting period","1. Helping people to stay healthy and well","n/a","National Screening Service","n/a","n/a","n/a"]
["E","40_Ann Roinn Sláinte Department of Health. (2015). NHQRS-National Healthcare Quality Reporting System - First annual report 2014. Retrieved from Dublin: http://health.gov.ie/wp-content/uploads/2015/03/NHQRS-Annual-Report-2014.pdf",101,null,"Screening rate for cervical cancer","The proportion of the eligible population in Ireland who had a satisfactory smear test within a five year time period.","Numerator: the number of women in the eligible population who have had a satisfactory smear test in the 5-year reporting period\nDenominator: the number of eligible women in the population at the mid-point of the 5-year reporting period","1. Helping people to stay healthy and well","n/a","National Screening Service","n/a","n/a","n/a"]
["E","40_Ann Roinn Sláinte Department of Health. (2015). NHQRS-National Healthcare Quality Reporting System - First annual report 2014. Retrieved from Dublin: http://health.gov.ie/wp-content/uploads/2015/03/NHQRS-Annual-Report-2014.pdf",112,null,"In-hospital Mortality following Acute Myocardial Infarction","The age-sex standardised mortality rate within 30 days of admission with a principal diagnosis of Acute Myocardial Infarction (AMI), ages 45 and over.","Numerator:\nNumber of deaths in hospital that occurred within 30 days of hospital admission with a principal diagnosis of acute myocardial infarction in a specified year, ages 45 and over.\nDenominator:\nNumber of hospitalisations of patients aged 45 and over with a principal diagnosis of acute myocardial infarction in the specified year.\nAge-sex standardisation: Data have been age and sex standardised based on the methodology developed and used by the OECD Health Care Quality Indicators (HCQI) data collection.","3. Helping people when they are being treated and cared for in our health services","n/a","Hospital In-Patient Enquiry (HIPE)","n/a","n/a","n/a"]
["E","40_Ann Roinn Sláinte Department of Health. (2015). NHQRS-National Healthcare Quality Reporting System - First annual report 2014. Retrieved from Dublin: http://health.gov.ie/wp-content/uploads/2015/03/NHQRS-Annual-Report-2014.pdf",112,null,"In-hospital Mortality following Haemorrhagic Stroke","The age-sex standardised mortality rate within 30 days of admission with a principal diagnosis of haemorrhagic stroke, ages 45 and over.","Numerator:\nNumber of deaths in hospital that occurred within 30 days of hospital admission with a principal diagnosis of haemorrhagic stroke in a specified year, ages 45 and over.\nDenominator:\nNumber of hospitalisations of patients aged 45 and over with a principal diagnosis of haemorrhagic stroke in the specified year.\nAge-sex standardisation: Data have been age and sex standardised based on the methodology developed and used by the OECD Health Care Quality Indicators (HCQI) data collection.","3. Helping people when they are being treated and cared for in our health services","n/a","Hospital In-Patient Enquiry (HIPE)","n/a","n/a","n/a"]
["E","40_Ann Roinn Sláinte Department of Health. (2015). NHQRS-National Healthcare Quality Reporting System - First annual report 2014. Retrieved from Dublin: http://health.gov.ie/wp-content/uploads/2015/03/NHQRS-Annual-Report-2014.pdf",112,null,"In-hospital Mortality following Ischaemic Stroke","The age-sex standardised mortality rate within 30 days of admission with a principal diagnosis of ischaemic stroke, ages 45 and over.","Numerator:\nNumber of deaths in hospital that occurred within 30 days of hospital admission with a principal diagnosis of ischaemic stroke in a specified year, ages 45 and over.\nDenominator:\nNumber of hospitalisations of patients aged 45 and over with a principal diagnosis of ischaemic stroke in the specified year.\nAge-sex standardisation: Data have been age and sex standardised based on the methodology developed and used by the OECD Health Care Quality Indicators (HCQI) data collection.","3. Helping people when they are being treated and cared for in our health services","n/a","Hospital In-Patient Enquiry (HIPE)","n/a","n/a","n/a"]
["E","40_Ann Roinn Sláinte Department of Health. (2015). NHQRS-National Healthcare Quality Reporting System - First annual report 2014. Retrieved from Dublin: http://health.gov.ie/wp-content/uploads/2015/03/NHQRS-Annual-Report-2014.pdf",114,null,"In-hospital Waiting Time for Hip Fracture Surgery","The proportion of patients aged 65 years and older with a hip fracture who have surgery within two days of admission to hospital.","Numerator:\nNumber of hospitalisations with a principal diagnosis of a hip fracture and who had hip fracture surgery on the day of admission, 1 day after admission or 2 days after admission in a specified year, ages 65 and older.\nDenominator:\nNumber of hospitalisations with a principal diagnosis of a hip fracture and who had hip fracture surgery during the admission in a specified year, ages 65 and older.","3. Helping people when they are being treated and cared for in our health services","n/a","Hospital In-Patient Enquiry (HIPE)","n/a","n/a","n/a"]
["E","40_Ann Roinn Sláinte Department of Health. (2015). NHQRS-National Healthcare Quality Reporting System - First annual report 2014. Retrieved from Dublin: http://health.gov.ie/wp-content/uploads/2015/03/NHQRS-Annual-Report-2014.pdf",116,null,"Breast cancer survival rates","Age-standardised estimates of cumulative 5-year relative survival for Irish female breast cancer patients for the period 2005-2010","Age-standardized Period estimates of Ederer II relative survival for the follow-up period 2005-2010.\nFive-year observed survival for women aged 15-99 diagnosed with breast cancer (first primary cancer at the specified site) divided by the expected survival of a comparable group from the general population (expressed in percentage).\nSurvival estimates are standardized to the International Cancer Survival Standard (ICSS) populations by Corazziari I., Quinn M. & Capocaccia R. 2004. Standard cancer patient population for age standardising survival ratios. Eur J Cancer 40: 2307-2316.","3. Helping people when they are being treated and cared for in our health services","n/a","National Cancer Registry of Ireland","n/a","n/a","n/a"]
["E","40_Ann Roinn Sláinte Department of Health. (2015). NHQRS-National Healthcare Quality Reporting System - First annual report 2014. Retrieved from Dublin: http://health.gov.ie/wp-content/uploads/2015/03/NHQRS-Annual-Report-2014.pdf",116,null,"Cervical cancer survival rates","Age-standardised estimates of cumulative 5-year relative survival for Irish cervical cancer patients for the period 2005-2010","Age-standardized Period estimates of Ederer II relative survival for the follow-up period 2005-2010.\nFive-year observed survival for women aged 15-99 diagnosed with cervical cancer (first primary cancer at the specified site) divided by the expected survival of a comparable group from the general population (expressed in percentage).\nSurvival estimates are standardized to the International Cancer Survival Standard (ICSS) populations by Corazziari I., Quinn M. & Capocaccia R. 2004. Standard cancer patient population for age standardising survival ratios. Eur J Cancer 40: 2307-2316.","3. Helping people when they are being treated and cared for in our health services","n/a","National Cancer Registry of Ireland","n/a","n/a","n/a"]
["E","40_Ann Roinn Sláinte Department of Health. (2015). NHQRS-National Healthcare Quality Reporting System - First annual report 2014. Retrieved from Dublin: http://health.gov.ie/wp-content/uploads/2015/03/NHQRS-Annual-Report-2014.pdf",116,null,"Colorectal cancer survival rates","Age-standardised estimates of cumulative 5-year relative survival for Irish colorectal cancer patients for the period 2005-2010","Age-standardized Period estimates of Ederer II relative survival for the follow-up period 2005-2010.\nFive-year observed survival for the total population aged 15-99 diagnosed with colorectal cancer (first primary cancer at the specified site) divided by the expected survival of a comparable group from the general population (expressed in percentage).\nSurvival estimates are standardized to the International Cancer Survival Standard (ICSS) populations by Corazziari I., Quinn M. & Capocaccia R. 2004. Standard cancer patient population for age standardising survival ratios. Eur J Cancer 40: 2307-2316.","3. Helping people when they are being treated and cared for in our health services","n/a","National Cancer Registry of Ireland","n/a","n/a","n/a"]
["E","40_Ann Roinn Sláinte Department of Health. (2015). NHQRS-National Healthcare Quality Reporting System - First annual report 2014. Retrieved from Dublin: http://health.gov.ie/wp-content/uploads/2015/03/NHQRS-Annual-Report-2014.pdf",122,null,"COPD Hospitalisation Rate","The age-sex standardised rate of hospitalisations of people aged 15 years and older with a principal diagnosis of chronic obstructive pulmonary disease (COPD) per 100,000 population.","Numerator:\nNumber of hospital discharges with a principal diagnosis of COPD in a specified year, ages 15 and over.\nDenominator:\nPopulation aged 15 years and older.","2. Supporting people with long term conditions: Ambulatory care sensitive conditions","n/a","n/a","n/a","n/a","n/a"]
["E","40_Ann Roinn Sláinte Department of Health. (2015). NHQRS-National Healthcare Quality Reporting System - First annual report 2014. Retrieved from Dublin: http://health.gov.ie/wp-content/uploads/2015/03/NHQRS-Annual-Report-2014.pdf",122,null,"Asthma Hospitalisation Rate","The age-sex standardised rate of hospitalisations of people aged 15 years and older with a principal diagnosis of asthma per 100,000 population.","Numerator:\nNumber of hospital discharges with a principal diagnosis of asthma in a specified year, ages 15 and over.\nDenominator:\nPopulation aged 15 years and older.","2. Supporting people with long term conditions: Ambulatory care sensitive conditions","n/a","n/a","n/a","n/a","n/a"]
["E","40_Ann Roinn Sláinte Department of Health. (2015). NHQRS-National Healthcare Quality Reporting System - First annual report 2014. Retrieved from Dublin: http://health.gov.ie/wp-content/uploads/2015/03/NHQRS-Annual-Report-2014.pdf",122,null,"Diabetes Hospitalisation Rate","The age-sex standardised rate of hospitalisations of people aged 15 years and older with a principal diagnosis of diabetes per 100,000 population.","Numerator:\nNumber of hospital discharges with a principal diagnosis of diabetes in a specified year, ages 15 and over.\nDenominator:\nPopulation aged 15 years and older.","2. Supporting people with long term conditions: Ambulatory care sensitive conditions","n/a","n/a","n/a","n/a","n/a"]
["E","40_Ann Roinn Sláinte Department of Health. (2015). NHQRS-National Healthcare Quality Reporting System - First annual report 2014. Retrieved from Dublin: http://health.gov.ie/wp-content/uploads/2015/03/NHQRS-Annual-Report-2014.pdf",180,null,"Methicillin-Resistant Staphylococcus Aureus (MRSA) Infection Rates","The rate of MRSA bloodstream infections in acute hospitals per 1,000 bed days used.","n/a","5. Treating and caring for people in a safe environment: Health care associated infection rates","n/a","Health Protection Surveillance Centre","n/a","n/a","n/a"]
["E","40_Ann Roinn Sláinte Department of Health. (2015). NHQRS-National Healthcare Quality Reporting System - First annual report 2014. Retrieved from Dublin: http://health.gov.ie/wp-content/uploads/2015/03/NHQRS-Annual-Report-2014.pdf",180,null,"Clostridium Difficile (C Difficile) Infection Rates","The rate of new cases of Clostridium Difficile in acute hospitals per 10,000 bed days used.","n/a","5. Treating and caring for people in a safe environment: Health care associated infection rates","n/a","Health Protection Surveillance Centre","n/a","n/a","n/a"]

{"sheet":"euHS_I consolidated","index":3,"n_rows":370,"n_cols":48,"rows_kept":370,"cut":false,"hidden":false,"merged":[[2,4,2,40]]}
[]
[null,null,null,null,"Consolidated european Health System_Indicators inventory"]
[null,null,null,null,"Please cite as: \nPerić, N.; Hofmarcher, M.M.; Simon, J. (2017) Consolidated european Health System_Indicators inventory, a product of BRIDGE Health Work Package 12, October 2017, Medical University of Vienna & HS&I."]
[]
["OECD Health at a Glance Category","All references grouped","Indicator name","Explanatory info for survey","Number of initiatives where selected indicator was found (total)","1_ECHI","2_ECHO","3_Eckfeldt et al. 2014 (DG-ECFIN)","4_ESIF for Health 2015","5_EU Semester thematic fiche Health 2015 (DG-ECFIN)","6_EuroHope","7_Eurostat - Quality of Life","8_Eurostat - SDI","9_European Pillar of Social Rights","10_EU Youth Health 2015 (DG EAC)","11_EXPH 2014","12_JAF Health (DG EMPL)","13_EC-MACELI 2014","14_Medeiros & Schwierz 2015 (DG-ECFIN)","15_SPC - SPPM (DG EMPL)","16_Smith et al. (2016)","17_Health at a Glance 2015","18_Joumard et al. 2010","19_How's life? 2015","20_WHO Health 2020","21_WHO Core Health 2015","22_AIHW. (2014)","23_CIHI In Depth (2014)","24_CWF State Scorecard & CWF Int. Comparison (2014)","25_EHCI 2015","26_IOM 2015","27_MoH New Zealand 2016","28_Belgium - Vrijens et al. (2015)","29_Estonia HSPA (2010)","30_Hungary HSPA (2014)","31_Italy - PNE (2014)","32_Malta - Grech et al. (2015)","33_Netherlands - van den Berg et al. (2015)","34_Portugal HSPA (2010)","35_Sweden - Socialstyrelsen. (2013)","36_Sweden - Socialstyrelsen. (2015)","37_UK - Bevan et al. (2014)","38_UK - NHS (2016)","39_UK - Berry (2015)","40_Ireland - NHQSR (2015)","41_Europeristat","42_EuroSafe","43_Hofmarcher et al. 2007 (OECD)"]
[1,"A, B, D, E","Share of population covered by health insurance","Percentage of population covered by i) Government/ social health insurance, ii) private health insurance.",10,1,0,0,0,0,0,0,0,0,0,2,1,0,0,0,0,3,0,0,0,0,0,0,2,0,0,0,1,1,0,0,1,1,1,0,0,0,0,0,0,0,0,0]
[1,"A, B, D, E","Self-reported unmet need for medical care (total by reason: cost, waiting time, distance)","Disaggregated by sex, by age group (total, 18-64, 65+), by education level (ISCED 0-1, 2, 3-4, 5-6) and by income quintile.\nProportion of persons with self-declared unmet needs for medical care services due to either financial barriers, waiting times or traveling distances.",16,1,0,0,3,1,0,1,1,0,1,1,2,0,0,1,0,2,0,0,0,0,0,0,7,1,1,0,1,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0]
[1,"D","At-risk adults without a routine doctor visit in past two years","Percent of adults age 50 or older, or in fair or poor health, or ever told they have diabetes or pre-diabetes, acute myocardial infarction, heart disease, stroke, or asthma who did not visit a doctor for a routine checkup in the past two years.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[1,"A, B, E","Self-reported unmet need for dental care (total by reason: cost, waiting time, distance)","Disaggregated by sex, by age group (total, 18-64, 65+), by education level (ISCED 0-1, 2, 3-4, 5-6) and by income quintile.\nProportion of persons with self-declared unmet needs for dental care services due to either financial barriers, waiting times or traveling distances.",4,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0]
[1,"A, B, D, E","Out-of-pocket medical spending as a share of final household consumption","Out-of-pocket payments are expenditures borne directly by a patient where neither public nor private insurance cover the full cost of the health good or service. They include cost-sharing and other expenditure paid directly by private households and should also include estimations of informal payments to health care providers. Only expenditure for medical spending (i.e. current health spending less expenditure for the health part of long-term care) is presented here, because the capacity of countries to estimate private long-term care expenditure varies widely.\nHousehold final consumption expenditure covers all purchases made by resident households to meet their everyday needs such as food, clothing, rent or health services.",7,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,1,1,0,0,0,0,1,0,0,0,0]
[1,"D, E","Percentage of households experiencing high levels/catastrophic of out-of-pocket health expenditures ","nA (Percentage of households experiencing high levels of/ catastrophic out-of-pocket health expenditures using different thresholds by age and income quintiles). ",4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,2,0,0,1,4,0,0,0,0,0,0,0,0,0,0,0,0,0]
[1,"B","Shares of out-of-pocket medical spending by services and goods","Services and goods include curative care, Dental care, Pharmaceuticals, Therapeutic appliances and Other",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[1,"C, E","Private household out-of-pocket expenditure as a proportion of total health expenditure","Out of pocket expenditure is any direct outlay by households, including gratuities and in-kind payments, to health practitioners and suppliers of pharmaceutical, therapeutic appliances and other goods and service whose primary intent is to contribute to the restoration or enhancement of the health status of individuals or population groups. It is a part of private expenditure’.",6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,1,1,0,1,0,1,0,0,0,0,0,0,0,0,0]
[1,"E","Out-of-pocket payments as percentage of GDP, per capita","Out of pocket expenditure is any direct outlay by households, including gratuities and in-kind payments, to health practitioners and suppliers of pharmaceutical, therapeutic appliances and other goods and service whose primary intent is to contribute to the restoration or enhancement of the health status of individuals or population groups. It is a part of private expenditure’, expressed in following units: i) as percentage of GDP, ii) in PPS per capita. ",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[1,"C","Household final consumption expenditure per capita","Household final consumption expenditure is the market value of all goods and services, including durable products (such as cars, washing  machines  and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellings. It also includes payments and fees to governments to obtain permits and licenses. Here, household consumption expenditure includes expenditure by non-profit institutions serving households (NPISH), even when reported separately by the country. Data are in constant 2005 US dollars.\nOECD: Household spending is the amount of final consumption expenditure made by resident households to meet their everyday needs, such as: food, clothing, housing (rent), energy, transport, durable goods (notably, cars), health costs, leisure, and miscellaneous services. It is typically around 60% of gross domestic product (GDP) and is therefore an essential variable for economic analysis of demand. Household spending, including government transfers, is the actual individual consumption that it is equal to households' consumption expenditure plus those (individual) expenditures of general government and non-profit institutions serving households (NPISHs) that directly benefit households, such as, health care and education.  (https://data.oecd.org/hha/household-spending.htm#indicator-chart)",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[1,"D","Informal payments to doctors","Mean response to question: \"Would patients be expected to make unofficial payments?\"",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[1,"B","Geographic distribution of doctors: Physicians density in predominantly urban and rural regions","Density per 1 000 population",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[1,"E","Access to acute care","Percentage of people who can REACH primary, emergency and materinity care services within 15/30 minutes",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,9,0,0,0,0,0,0,0,0,0,0]
[1,"A, E","Percentage of preterm births delivered in maternity units without an on-site neonatal intensive care unit","The percentage of preterm live and stillbirths less than 32 completed weeks of gestation that are born in a maternity unit without an on-site neonatal intensive care unit. The place of birth of very preterm birth should be presented by level of neonatal intensive care unit using local official or, if no official definitions exist, unofficial definitions with the units without a NICU highlighted.",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0]
[1,"A, D","Patient mobility: non-resident people among all people being discharged from hospital","Absolute number / Percentage",2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[1,"E","Ambulance response times","Percentage of emergency ambulance callouts that arrive on the scene within the 15-minute standard",4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,0,1,0,1,0,0,0,0,0,0]
[1,"D, E","Waiting times for emergency department care","Percentage of patients who were treated within national benchmarks for waiting times for each triage category in public hospital emergency departments. The national benchmarks are:\n􀁴 Resuscitation: immediate (within seconds)\n􀁴 Emergency: within 10 minutes\n􀁴 Urgent: within 30 minutes\n􀁴 Semi-urgent: within 60 minutes\n􀁴 Non-urgent: within 120 minutes.\nThis is presented as a percentage.",5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,2,1,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[1,"D, E","Reported waiting times for General Practitioners care","Disaggregated by sex, age, income level. \nPercentage of patients who were given an appointment with a general practitioner for \ni) acute care: the same day or \nii) routine care: within seven days",6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,1,0,0,0,3,0,0,0,3,0,3,0,1,0,0,0,0,0,0]
[1,"E","Reported waiting times for dental care","Percentage of patients who were given an appointment with a dentist for \ni) acute care: the same day or \nii) routine care: within x days. \nExact day range to be defined. ",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,1,0,0,0,0,0,0]
[1,"A, D, E","Reported waiting times for access to specialist (care)","No attempt was made to provide a single definition; instead following definitions are considered as examples: \nWaiting time of more than two weeks to get an appointment with a specialist (% of population asking an appointment). \nWaited 2 months or longer for specialist appointment (base: needed to see specialist in past 2 years) (by two income categories).\nWaiting time longer than 1 month for first contact in ambulatory mental health centre (% of pop with contact in ambulatory mental health centre).\nWaiting time, referral to treatment: Doctors report patients often experience long wait times to receive treatment after diagnosis (e.g. cancer treatment delays). Percentage of patients treated within 18 weeks. \n",13,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,2,1,1,2,3,2,0,1,1,0,8,0,1,0,0,0,0,0,0]
[1,"D, E","Reported waiting times for imaging tests","Doctors report patients often experience difficulty getting specialized tests (e.g., CT, MRI). ",4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,2,0,0,1,0,0,0,0,0,0,0,0,0,0,0]
[1,"A, B, D, E","Waiting times for elective surgeries","Average inpatient waiting time for elective (i.e. non-urgent) surgeries of Percutanerous Transluminal Coronary Angioplasty (PTCA), hip replacement and cataract operation, measured in number of days. Elective surgery is defined as when surgery is necessary, but the timing of the procedure can be scheduled and the patient can be sent home.",12,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,3,0,0,0,0,1,0,1,1,0,0,0,2,0,0,0,0,2,1,0,1,0,1,0,0,0,0]
[1,"E","Rate of patients with colorectal tumour receiving chemotherapy whose treatment started within two months following surgery","This indicator aims to detect effects of the policy changes on timely delivery of services to colorectal cancer patients.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0]
[1,"D","Medical records/test results did not reach doctor’s office in time for appointment, in past 2 years","Survey question. ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[1,"E","Numbers of people awaiting donor organs","The numbers refer to people actively awaiting a transplant, who have been approved by a transplantation centre and who are ready to receive the transplant.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
[1,"E","Waiting times for admission to public rehabilitation facility and to public long-term care facility","Waiting times for admission to public rehabilitation facility\n‘The denominator is the total number of patients referred for rehabilitation in a year under review who are accepted for a period of rehabilitation at RHKG. The numerator is the total number of patients actually transferred for rehabilitation at RHKG during the year under review.\nThe median waiting time is from date of referral to date of transfer.\nExclusion criteria: deceased patients while waiting and discharged patients while waiting.’\nWaiting times for admission to public long-term care facility\n‘The denominator is the total number of patients applying for government long term care during the year under review. The numerator is the total number of patients admitted to government long term care within 18 months from the date of application.\nThe median waiting time is from date of application of long term care to date of admission.\nExclusion criteria: deceased patients while waiting and patients withdrawing their application’.",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0]
[1,"E","Waiting times for home/social care services","Percentages of clients receiving home help services within one month of approval",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
[1,"E","Percentages of informal carers of people with dementia who receive timely psychosocial and practical support for their own needs","Informal carers taking part in the Informal Care Monitoring Study reported needing psychosocial and practical support for themselves.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[1,"E","Waiting times for terminal palliative care","The number of people waiting for i) institutional and/or ii) mobile palliative care in excess of a defined national standard of (6) x weeks. ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[1,"D","Percentage of dialysis done outside of hospital/centre","Percentage of all Dialysis patients on peritoneal dialysis (PD) and hemodialysis (HD) in the home of patient. ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[2,"A, D","Employment in human health and social work activities","Disaggregated by age, by educational attainment level, by NUTS regions. \nEmployment in health and social work, NACE rev 2 Q. Number of employees between age 15 and 64. ",3,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[2,"A, B, C, D, E","Practising physicians","Practising physicians per 100,000 population by category (MD, dentists, pharmacists, physiotherapists, psychiatrists) and partly by age and sex\nPhysicians by specialty per 100 000 population (GP, general paediatricians, obstetricians and gynaecologists, psychiatrists, medical group of specialists, surgical group of specialists). ",13,2,0,1,8,0,0,0,0,0,0,0,1,0,1,0,0,4,0,0,0,6,0,1,0,0,0,0,3,1,0,0,0,0,1,0,0,1,0,1,0,0,0,0]
[2,"A, B, E","Share of GPs in all physicians","Share of generalist medical practitioners in all physicians.",7,0,0,1,3,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,2,0,0,0,2,0,0,0,0,0,0]
[2,"A","Shortage of doctors (physicians and dentists): vacancy rate","A job vacancy is defined as a newly created, unoccupied, or about to become vacant, post. The job vacancy rate (JVR) measures the proportion of total posts that are vacant expressed as a percentage as follows:\nJVR = number of job vacancies * 100 / (number of occupied posts + number of job vacancies).\nhttp://ec.europa.eu/eurostat/en/web/products-datasets/-/TEILM310",1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[2,"A","Shortage of doctors (physicians and dentists): percentage of care not covered","nA",1,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[2,"A, B, C, E","Medical graduates","Medical graduates are defined as the number of students who have graduated from medical schools in a given year. ",4,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[2,"B","Remuneration of doctors (general practitioners and specialists), ratio to average wage","The remuneration of doctors refers to average gross annual income, including social security contributions and income taxes payable by the employee. It should normally exclude practice expenses for self-employed doctors.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[2,"A, B, C, E","Practising qualified nurses and midwives","Practising qualified nurses and midwives, per 100,000 population",10,1,0,0,2,0,0,0,0,0,0,0,1,0,1,0,0,1,0,0,0,2,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0]
[2,"B, C, E","Nursing graduates","Nursing graduates refer to the number of students who have obtained a recognised qualification required to become a licensed or registered nurse. They include graduates from both higher level and lower level nursing programmes. They exclude graduates from Masters or PhD degrees in nursing to avoid double-counting nurses acquiring further qualifications.",3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[2,"B","Remuneration of nurses","The remuneration of nurses refers to average gross annual income, including social security contribu- tions and income taxes payable by the employee. It should normally include all extra formal payments, such as bonuses and payments for night shifts and overtime.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[2,"A, B, E","Ratio of nurses and midwives to physicians","Ratio of practicing nursing and caring professionals including midwives (Eurostat: hlth_rs_prsns) to the total number of practicing physicians",5,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0]
[2,"A, E","Shortage of nurses: vacancy rate","A job vacancy is defined as a newly created, unoccupied, or about to become vacant, post. The job vacancy rate (JVR) measures the proportion of total posts that are vacant expressed as a percentage as follows:\nJVR = number of job vacancies * 100 / (number of occupied posts + number of job vacancies).\nhttp://ec.europa.eu/eurostat/en/web/products-datasets/-/TEILM310",2,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[2,"A","Shortage of nurses: Percentage of care not covered","nA",1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[2,"A, B","Share of foreign-trained doctors","The data relate to foreign-trained doctors working in OECD countries measured in terms of total stocks. The OECD health database also includes data on the annual flows for most of the countries shown here, as well as by country of origin. ",2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[2,"B","International migration of nurses","The data relate to foreign-trained nurses working in OECD countries measured in terms of total stocks. The OECD health database also includes data on the annual flows for most of the countries shown here, as well as by country of origin. The data sources in most countries are professional registries or other adminis- trative sources.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[3,"A, B, D, E","Hospital beds","The total number of hospital beds per 100,000 inhabitants. (total number, acute care, psychiatric care, long-term care)",9,1,0,1,4,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0]
[3,"B, D","Long-term care beds in institutions and hospitals","Number of nursing home and elderly care beds per 100 000 population 65+",3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[3,"E","Numbers of palliative care facilities","nA",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
[3,"E","Number of high-care hospices with a quality accreditation","nA",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
[3,"A, B, D, E","Medical technologies (CT/MRI)","Number of CT/MRI per 100,000 by provider (hopsital, ambulatory health care)",6,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,2,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,2,0,0,0,0,0,0,0,0,0]
[3,"B","MRI/CT exams","Number of diagnostic exams per 1 000 population",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[4,"A, B, C, D, E","Hospital utilization","Total, disaggregated by selected diagnoses. \nHospital in-patient discharges / age-standardized rate of hospitalization / Volume of admissions, selected diagnoses: \nThe number of hospital in-patient discharges from all hospitals during a given calendar year, expressed per 100,000 population,  age-standardized by age group (0-64, 65+), by sex for selected diagnoses (ISHMT code 0000 = ICD-10 codes A00-Z99 excluding V,W,X & Y codes and healthy newborns Z38). \nCalculated and presented by the following 25 categories of the International Shortlist for Hospital Morbidity Tabulation (ISHMT). (Total (All Causes), Infectious and Parasitic Diseases, Neoplasms, Malignant Neoplasm of Colon, Rectum & Anus; Trachea / Bronchus / Lung; Breast; Uterus; Prostate; Diabetes Mellitus, Mental & Behavioural Disorders, Dementia, Mental and Behavioural Disorders due to Alcohol, Mood [Affective] Disorders, Diseases of the Nervous System/Circulatory/Respiratory System; AMI, Cerebrovascular Disease, COPD and Bronchiectasis, Asthma, Diseases of the Digestive System, Alcoholic Liver Disease, Diseases of the Musculoskeletal System & Connective Tissue, Diseases of the Genitourinary System, Injury, Poisoning & Certain Other Consequences of External Causes)\n",11,1,3,0,1,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,2,4,0,0,0,1,0,0,1,71,0,0,0,0,0,1,0,0,0,0,0,0]
[4,"E","Crude productivity by health care professional type","Inpatient admissions per hospital doctor/nurse",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0]
[4,"A, E","Hospital day-cases, total and selected diagnoses","Hospital day cases total and for selected diagnoses (ISHMT code 0000 = ICD-10 codes A00-Z99 excluding V,W,X & Y codes and healthy newborns Z38), per 100,000 inhabitants: total population, by age group (0-64, 65+), by sex\n",9,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,3,1,1,1,2,0,1,0,0,0,0,0,0]
[4,"A, B, C, D, E","Average length of stay (ALOS), total and selected diagnoses","Total population age-standardized, for selected diagnoses; by type of care (acute, mental and rehabilitation hospitals) disaggregated by age group (0-64, 65+), by sex.\nIn-patient average length of stay (in days) , for selected diagnose (ISHMT code 0000 = ICD-10 codes A00-Z99 excluding V,W,X & Y codes and healthy newborns Z38, e.g. cancers, AMI, normal delivery, ). \nAverage length of stay (ALOS) is computed by dividing the total number of in-patient hospital days , in all hospitals, counted from the date of admission to the date of discharge by the total number of discharges (including deaths) in all hospitals during a given year. A hospital day (or bed-day or in-patient day) is a day, during which a person admitted as an in-patient, is confined to a bed and stays overnight in a hospital.\nDay-cases (patients formally admitted for a medical procedure or surgery in the morning and discharged before the evening) are excluded. Patients admitted with the intention of discharge on the same day, but who subsequently stay in hospital overnight, are included.",16,1,0,1,2,0,0,0,0,0,0,0,0,0,0,0,1,3,7,0,0,1,0,3,0,0,0,1,1,1,1,0,1,1,1,0,0,0,0,1,0,0,0,0]
[4,"D, E","Bed days per capita","Total number of bed-days in acute, mental and rehabilitation hospitals during the year. ",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[4,"B","Turnover rate","The number of cases per available acute care bed. ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[4,"A, B, D, E","Occupancy rate","The occupancy rate is calculated as the number of beds effectively occupied (bed-days) for curative care divided by the number of beds available for curative care multiplied by 365 days, with the ratio multiplied by 100. Occupancy rate = Total number of bed-days during the year / (Number of beds available * 365 days) * 100",7,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0]
[4,"A, B, E","General practitioner (GP) utilisation: self-reported visits / Number of doctor consultations","Disaggregated by age group (15+, 15-64, 65+), by sex, by educational level (ISCED class 0-2, 3-4, 5-6) and income level.\nMean number of self-reported visits to general practitioner age-standardized per person per year. \nDerived from EHIS questions HC10 and HC11. \nHC10: When was the last time you consulted a GP (general practitioner) or family doctor on your own behalf? (1) Less than 12 months ago /2) 12 months ago or longer / 3) Never) \nIf HC10 is 1) HC11: During the past four weeks ending yesterday, that is since (date), how many times did you consult a GP (general practitioner) or family doctor on your own behalf? (number of times). Total number of contacts reported under HC11 is extrapolated from 4 to 52 weeks, and divided by the total number of respondents in the sample",6,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0]
[4,"B","Estimated number of consultations per doctor","Annual consultations per doctor",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[4,"A, D, E","Selected outpatient visits, self-reported","a) Mean number of self-reported visits to a (dentist or orthodontist / medical or surgical specialist) per person by age group (15+, 15-64, 65+) and by education level (ISCED class 0-2, 3-4, 5-6) per year. \nB) Proportion of population by age group (15+, 15-64, 65+) and by education level (ISCED class 0-2, 3-4, 5-6) reporting to have had a contact with a psychologist or psychotherapist during the past 12 months",5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0]
[4,"D, E","Dentist utilization: No regular contacts with dentist","Disaggregated by age group (15+, 15-64, 65+), by sex, by educational level (ISCED class 0-2, 3-4, 5-6) and income level.\nPercentage of population aged 3+ reporting no regular contacts with dentist: i) at least at 2 contacts on 2 different years over a three year period; ii) without a dental visit in the past year. ",3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[4,"A, E","Ratio of outpatient to inpatient contacts","Disaggregated by age and sex. \nRatio of the number of outpatient contacts with a physician (in a physician's office or at patient's home) excluding dentists consultations to the number of all hospital discharges (including day cases and inpatient cases).",2,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[4,"D","Rate of school health checks","The number of school health checks performed per 1000 pupils by age group. ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[4,"D, E","Percentage of self-referrals to A&E","nA",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0]
[4,"A","Operations per specialist","The number of operations any one provider is performing",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[4,"B, D, E","Ambulatory surgery: Share of selected surgeries carried out as ambulatory cases","Share of cataract surgery and tonsillectomies carried out as ambulatory cases",4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0]
[4,"A, B, D, E","Number of surgical operations and procedures","The number of surgical operations and procedures performed in hospitals, inpatient surgery, age-standardized per 100,000 population, by sex, \nFor following categories: PTCA (Percutaneous transluminal coronary angioplasty); Hip Replacement, Cataract, Tonsillectomy, Coronary Artery Bypass Graft, Laparoscopic Cholecystectomy, Repair of Inguinal Hernia, Caesarean Section, Total Knee Replacement, Partial Excision of Mammary Gland, Total Mastectomy, non-conservative breast surgery, Hysterectomy in uterine cancer, Hysterectomy without uterus cancer diagnosis, Adenoidectomy and/or tonsillectomy, Prostatectomy with prostate cancer/benign prostatic hyperplasia, Kidney transplants",9,1,10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,1,0,0,1,0,0,2,0,1,0,3,0,1,0,0,0,0,0,0]
[4,"A, B, D, E","Caesarean section rates","Disaggregated by age and regional level. \nThe caesarean section rate is the number of caesarean deliveries (emergency, elected, nulliparous term singleton vertex (NTSV) or low-risk group, high risk) performed per 100 live births.",11,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,1,0,0,1,0,0,2,0,2,1,1,0,0,0,0,1,1,0,0]
[4,"A, E","Mode of delivery by parity, plurality, presentation (of fetus), previous caesarean section","For a population of women and year: the number of births associated with each of the following modes:\n- Vaginal, non instrumental\n- Vaginal: forceps\n- Vaginal: ventouse\n- Vaginal (other, Thierry’s spatula, etc..)\n- Caesarean: before or at onset of labour/elective\n- Caesarean: during labour/emergency\nas a proportion of all still and live births.\nPrevious: Mode of delivery in the so-called nulliparous term singleton vertex (NTSV) or low-risk group: Percentage of spontaneous/induced/instrumental deliveries in the nulliparous term singleton vertex group",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,1,0,0]
[4,"D, E","Abortion rates","Percentage of induced abortions (prior to nine completed weeks of pregnancy) per 1000 live births, per 1000 women and by age group. ",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0]
[4,"D, E","GPs using an electronic medical file","Percentage of GP practices using electronic patient records for diagnostic data",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[4,"E","ePrescriptions transacted on line","Number of completed ePrescription transactions during a calendar year, divided by the total number of residents",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0]
[4,"D","Doctors report time spent on administrative issues related to insurance or claims is a major problem","Survey question. ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[5,"A, B, C, D, E","Total health care expenditure by all financing agents (total, public and private sectors)","Total health expenditure for total, public, and private sectors expressed in following units: i) in Purchasing Power Standard (PPS) per capita, ii) as percentage of gross domestic product (GDP), iii) in millions of Purchasing Power Standard (PPS). \n‘Total expenditure on health measures the final consumption of health goods and services (i.e. current health expenditure, CHE) plus capital investment in health care infrastructure. This includes spending by both public and private sources on medical services and goods, public health and prevention programmes and administration. To compare spending levels between countries, per capita health expenditures are converted to a common currency (US dollar) and adjusted to take account of the different purchasing power of the national currencies, in order to compare spending levels’.",17,8,0,0,1,3,0,0,0,0,0,1,0,1,1,0,0,1,0,0,2,0,0,0,1,0,3,0,3,2,2,0,2,4,0,1,0,1,0,0,0,0,0,0]
[5,"A, B, E","Current health care expenditure (CHE) by all financing agents (total, public and private sectors)","Current health expenditure (CHE) for total, public, and private sectors, expressed in following units: i) in Purchasing Power Standard (PPS) per capita, ii) as percentage of gross domestic product (GDP), iii) in millions of Purchasing Power Standard (PPS). \nCurrent health expenditure measures the final consumption of health goods and services without capital investment in health care infrastructure. This includes spending by both public and private sources on medical services and goods, public health and prevention programmes and administration. To compare spending levels between countries, per capita health expenditures are converted to a common currency (US dollar) and adjusted to take account of the different purchasing power of the national currencies, in order to compare spending levels’.",11,5,0,3,0,0,0,0,0,0,0,0,2,1,0,0,0,2,0,0,0,0,0,0,0,0,2,0,1,0,2,0,0,2,3,0,0,1,0,0,0,0,0,0]
[5,"A, B, C, E","Public (current) health expenditure as share of total government expenditure","Public (current) health expenditure (general government health expenditure) as a percentage of total government expenditure (according to COFOG http://ec.europa.eu/eurostat/statistics-explained/index.php/Government_expenditure_on_health). \nThe size of the public budget allocated to health. \n",7,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,2,0,0,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0]
[5,"A, B, D, E","Public current health expenditure as share of total current health expenditure","General government and social security funds (HF.1) current expenditure (HC.1 - HC.9), including long-term nursing care (HC.3), but excluding social services of long-term care (HC.R.6.1) and capital investment in health (HC.R.1); where total is defined as public and private expenditure on health, where private comprises of the categories: private sector (HF.2), rest of the world (HF.3) and not elsewhere classified (HF.0).",5,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,2,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0]
[5,"B","Gross fixed capital formation in the healthcare sector as a share of GDP","Gross fixed capital formation in the health care system is measured by the total value of the fixed assets that health providers have acquired during the accounting period (less the value of the disposals of assets) and that are used repeatedly or continuously for more than one year in the production of health services. The breakdown by assets includes infrastructure (e.g. hospitals, clinics, etc.), machinery and equipment (including diagnostic and surgical machinery, ambulances, and ICT equipment), as well as soft- ware and databases.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[5,"E","Publicly funded health care expenditure per employed person","Public health expenditures in relation to the number of people in employment (per national labour force). Numbers of employed persons according to the OECD definition of total civilian employment (not adjusted for international variations in working hours)",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
[5,"E","Health expenditure per capita in PPP (purchasing power parities) in relation to life expectancy at birth","Total health care expenditure by all financing agents (total, public and private sectors) per capita in PPP defined as the final consumption of health goods and services (i.e. current health expenditure, CHE) plus capital investment in health care infrastructure. This includes spending by both public and private sources on medical services and goods, public health and prevention programmes and administration \nIN RELATION to \nLife expectancy at birth defined the average number of years of life remaining if a group of persons at that age were to experience the mortality rates for a particular year over the course of their remaining life.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
[5,"E","Health expenditure per capita in PPP (purchasing power parities) in relation to avoidable mortality ","Total health care expenditure by all financing agents (total, public and private sectors) per capita in PPP defined as the final consumption of health goods and services (i.e. current health expenditure, CHE) plus capital investment in health care infrastructure. This includes spending by both public and private sources on medical services and goods, public health and prevention programmes and administration \nIN RELATION to \nAvoidable mortality: A death is considered avoidable if, in the light of medical knowledge and technology or in the light of understanding of the determinants of health at the time of death, all or most deaths from that cause (subject to age limits if appropriate) could be avoided through good quality healthcare (amenable mortality) or by public health interventions in the broadest sense (preventable mortality). More precisely: \nA death is amenable if, in the light of medical knowledge and technology at the time of death, all or most deaths from that cause could be avoided through good quality health care. \nA death is preventable if, in the light of understanding of the determinants of health at the time of death, all or most deaths from that cause could be avoided by public health interventions in the broadest sense.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
[5,"A","Expenditure on curative-rehabilitative care by all financing agents (total, public and private sectors)","Expenditure on curative-rehabilitative care by all financing agents expressed in following units: i) % of current expenditure on health care, ii) in PPS per capita.  \nCurative care' means the health care services during which the principal intent is to relieve symptoms or to reduce the severity of an illness or injury, or to protect against its exacerbation or complication that could threaten life or normal function.\nRehabilitative care means the services to stabilise, improve or restore impaired body functions and structures, compensate for the absence or loss of body functions and structures, improve activities and participation and prevent impairments, medical complications and risks.",5,0,0,0,0,0,0,0,0,0,0,0,3,1,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0]
[5,"A, B, E","Expenditure on long-term care by all financing agents (total, public and private sectors)","Expenditure on long-term care by all financing agents expressed in following units: i) % of current expenditure on health care, ii) % of GDP, iii) in PPS per capita.  \nLong-term health care comprises ongoing health and nursing care given to i) in-patients and ii) patients at home who need assistance on a continuing basis. ",5,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,3,0,1,0,0,0,0,0,0,0,0]
[5,"E","Expenditure for palliative care","nA",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
[5,"A, B, D, E","Expenditures on pharmaceuticals by all financing agents (total, public and private sectors)","Expenditure on pharmaceuticals/medical goods by all financing agents expressed in following units: i) % of public current expenditure on health care, ii) public as % of GDP, iii) in PPS per capita. \nPharmaceutical expenditure covers spending on prescription medicines and self-medication, often referred to as over-the-counter products. In some countries, other medical non-durable goods are also included. Pharmaceuticals consumed in hospitals and other health care settings are excluded. Final expendi- ture on pharmaceuticals includes wholesale and retail margins and value-added tax. It also includes pharmacists’ remuneration when the latter is separate from the price of medicines. Total pharmaceutical spending refers in most countries to “net” spending, i.e. adjusted for possible rebates payable by manufac- turers, wholesalers or pharmacies.",11,0,0,4,0,1,0,0,0,0,0,0,1,0,0,0,0,7,0,0,0,0,0,0,0,1,0,0,0,0,2,0,1,1,1,2,0,0,0,1,0,0,0,0]
[5,"A, E","Expenditure on preventive care by all financing agents (total, public and private sectors)","Expenditure on preventive care by all financing agents expressed in following units: i) % of current expenditure on health care, ii) in PPS per capita.  \nPreventive care' means any measure that aims to avoid or reduce the number or the severity of injuries and diseases, their sequelae and complications. It is based on a health promotion strategy that involves a process to enable people to improve their health through the control over some of its immediate determinants. Interventions (both individual and collective) are included when their primary purpose is health promotion and if they occur before the diagnosis has been made.",6,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,3,0,1,0,0,0,0,0,0,0,0]
[5,"A, B, D, E","Expenditure on health administration and health insurance by all financing agents (total, public and private sectors)","Expenditure on health administration and health insurance by all financing agents expressed in following units: i) % of public current expenditure on health care, ii) % of GDP iii) in PPS per capita.  ",9,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,3,1,0,0,0,0,1,1,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0]
[5,"E","Total expenditure for midwifery","Primary obstetric care includes obstetric GP care and midwifery care. Reflect the costs of care covered by the basic health insurance package. ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
[5,"E","Total expenditure for maternity care","Reflect the costs of care covered by the basic health insurance package. ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
[5,"A, E","Public expenditure for hospitals","General government and social security funds (HF.1) expenditure on hospitals (HP.1), including general hospitals (HP.11), mental health and substance abuse hospitals (HP.12) and other specialty hospitals (HP.13) measured according to following units: as % of GDP, as % of public Current Health Expenditure, in PPS per capita.",4,0,0,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0]
[5,"A, E","Public expenditure for ambulatory services","General government and social security funds (HF.1) expenditure on providers of ambulatory health care (HP.3) including offices of physicians (HP.31), dentists (HP.32), other health practitioners (HP.33), out-patient care centres (HP.34), medical and diagnostic laboratories (HP.35), providers of home health care services (HP.36) and other providers of ambulatory health care (HP.39), measured according to following units: as % of GDP, as % of public Current Health Expenditure, in PPS per capita",4,0,0,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0]
[5,"B, D, E","Share of hospital inpatient expenditures by main diagnostic category","Circulatory diseases; Cancer; Injury, poisoning and other consequences of external causes; Mental and behavioural disorders; Respiratory system; Diseases of musculoskeletal system; Digestive diseases and connective tissue;  hospital obstetric care",5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,1,0,6,0,0,0,0,0,0,0,0]
[5,"A, B, D","Expenditure per hospital discharge/case/ hospital stay","Expenditure per hospital discharge for two diagnostic categories (circulatory disease, cancer).\nThis indicator measures the ratio of a hospital's total acute inpatient care expenses to the number of acute inpatient weighted cases related to the inpatients for which the hospital provided care.",3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[5,"A","Treatment costs: on five important disease groups: acute myocardial infarction (AMI), ischemic stroke, hip fracture, breast cancer and very low birth weight and preterm infants (VLBWI)","Episode care costs",1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[5,"E","Cost per DRG Point","Cost per DRG point – specialised medical care",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,3,0,0,0,0,0,0,0,0]
[5,"E","Cost Per Contact with the Primary Care System","Cost per weighted primary care event in primary care, Home health care and drugs covered by the pharmaceutical benefits scheme are excluded.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0]
[6,"A, B, C, D, E","Vaccination coverage in children","Disaggregated by age.  \nPercentage of infants who have been fully vaccinated against important infectious childhood diseases according to national vaccination schemes.",19,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,1,2,0,1,0,1,0,1,1,1,1,3,1,0,0,2,0,0,1,1,1,0,1,2,0,0,0]
[6,"D","HPV vaccination rate in teenagers","Proportion of teenagers by sex who received HPV vaccination",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[6,"A, B, D, E","Influenza vaccination rate in elderly","Proportion of elderly individuals by sex  (65+)  and education level (ISCED class 0-2, 3-4, 5-6) reporting to have received one shot of influenza vaccine during the last 12 months.",16,1,0,0,1,0,0,0,0,0,0,1,1,0,0,0,0,1,1,0,0,0,1,1,0,0,1,1,1,0,0,0,1,1,0,0,0,1,0,1,1,0,0,0]
[6,"A, B, D, E","Screening rates for selected cancers (breast, cervical, colon)","Proportion of women (aged 50-69) by educational level (ISCED class 0-2, 3-4, 5-6) reporting to have undergone a breast cancer screening test within the past two years.\nProportion of women (aged 20-69) by educational level (ISCED class 0-2, 3-4, 5-6) reporting to have undergone a cervical cancer screening test within the past three years.\nProportion of persons by sex (aged 50-74) and by educational level (ISCED class 0-2, 3-4, 5-6) reporting to have undergone a colorectal cancer screening test in the past 2 years.\n",15,3,0,0,5,0,0,0,0,0,0,0,3,0,0,0,0,2,0,0,0,0,1,0,1,0,2,1,4,0,0,0,1,1,0,1,1,0,0,2,2,0,0,0]
[6,"A, D, E","Timing of first antenatal visits among pregnant women","Percentage of women having their first antenatal visit in 1st, 2nd, and 3rd trimester or having no visits. Antenatal visit refers to a visit to a certified health care professional, e.g. general practitioner, obstetrician, midwife and public health nurse. Only visits to examinations and/or pregnancy-related advice are to be included. Mere prescription of a pregnancy test or booking in a maternity unit should be excluded.",5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,1,0,0]
[6,"D","Unintended pregnancy: Contraceptive use","nA",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[6,"E","Unprotected sex - teenage abortions","Abortions among women under 19 years of age per 1 000 women 15–19 years old",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0]
[6,"E","Rate of preterm delivery where the mother has not received pregnancy care","nA",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0]
[6,"E","Percentages of newborn infants with rare serious disorders that are detected in the neonatal blood spot programme","Detection rates for rare disorders out of 18 screened. Failure to detect screenable serious disorders in newborn infants can have major consequences, because early treatment can be crucial to limiting or preventing serious impairment in their physical or mental development.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
[6,"D","Caries free at 5 years","nA",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[6,"D, E","Patients in primary care - discussing lifestyle and living habits","Patients who answered “Yes” to the question: Did the doctor or another member of staff discuss any of the following living habits with you: tobacco, alcohol, exercise or eating habits?\nPatients in primary care - discussing lifestyle and living habits",3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0]
[6,"D","Cardiovascular risk management","Patients with hypertension who have had cholesterol checked in past year",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[7,"E","Hospital mortality","Number of in-hospital deaths by the expected number of in-hospital deaths",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0]
[7,"D, E","Hospital Standardized Mortality Ratio (HSMR)","This indicator examines the ratio of the actual number of in-hospital deaths in a region or hospital to the number that would have been expected based on the types of patients a region or hospital treats. The HSMR is calculated by dividing the actual number of in-hospital deaths by the expected number of in-hospital deaths, for conditions accounting for about 80% of inpatient mortality.",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0]
[7,"A, B, D, E","30-day in-hospital mortality","Percentage of people who die within 30 days following: i) admission to hospital for a specific acute condition (eg. MI, stroke, hip fracture, major surgery), ii) after arrival to an intensive care unit. \n",16,1,3,0,0,0,0,0,0,0,0,0,2,0,0,0,0,4,2,0,0,0,0,1,1,0,0,0,2,0,2,15,1,3,1,5,0,0,0,2,3,0,0,0]
[7,"B, D, E","Waiting times for for actue surgery after arrival at hospital","The proportion of patients aged 65 years and older with a i) hip fracture, ii) tibia and fibula fracture who have surgery within two days of admission to hospital.",7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,3,1,1,0,1,0,0,0,0,1,0,0,0]
[7,"E","Survival after Cardiac Arrest outside of Hospital","Percentage of cardiac arrest patients outside hospital who had been administered CPR and were alive 30 days later",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0]
[7,"A, B, D, E","Survival rate by specific disease category, by surgical intervention","This indicator refers to survival rates by selected disease category (cancer, major trauma, AMI, etc. ), by surgical intervention (total knee, aortic aneurysm, bleeding ulcer, etc.) and by defined time period (e.g. 30 days, 90 days, 1 year, 5 years). \nAge-standardized x-year relative survival rate for specific disease category (...)/surgical intervention is the observed rate of persons diagnosed with selected disease/undergone selected surgical intervention surviving x years after diagnosis/surgical intervention, divided by expected survival rate in the general population.",16,1,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,3,0,0,0,0,2,0,0,1,0,0,3,0,1,13,1,1,1,11,0,1,8,3,3,0,0,0]
[7,"E","Reoperation for cancer","Percentage of patients who were reoperated on within 30 days after primary cancer surgery",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0]
[7,"D, E","Patient reported outcome after an intevention/treatment","Percentage of patients who reported that they were satisfied or very satisfied with the results / reported improvement (one year) after selected surgery/treatment: hysterectomy, total hip arthroplasty, urinary incontinence, spinal stenosis, Biologic Drug Therapy, Tonsillectomy, etc",3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,10,0,0,4,0,0,0,0,0]
[7,"B, E","Inpatient suicide amongst patients with a psychiatric disorder","The inpatient suicide indicator is composed of a denominator of patients discharged with a principal diagnosis or first two listed secondary diagnosis code of mental health and behavioural disorders (ICD-10 codes F10-F69 and F90-99) and a numerator of the number of patients who committed “suicide” (ICD-10 codes: X60-X84). There are often fewer than ten inpatient suicides in a given year, meaning that reported rates can vary. \nThe data have been age-sex standardised to the 2010 OECD population structure, to remove the effect of different population structures across countries.",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
[7,"E","Numbers of coercive measures per 1000 psychiatric admissions","The use of coercive measures (seclusion, physical and chemical restraint) ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
[7,"E","Admission of full-term babies to neonatal care","Number of full-term neonatal episodes, as a percentage of all full-term births.\nThe number of full-term babies (gestation greater than 36 weeks) admitted within 28 days of birth to a neonatal unit, expressed as a percentage of all full-term births.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
[8,"A, B, D, E","Ambulatory Care Sensitive Conditions (ACSC) Hospitalization Rate ","Disaggregated by sex, age, condition. \nAvoidable hospitalization rate / Emergency admissions to hospital (indirectly standardised rate per 100,000 population) of persons with an ambulator care sensitive condition (ACSC). \nACSCs are conditions for which effective management and treatment should prevent admission to hospital. They can be classified as: chronic conditions (e.g. asthma, COPD, Congestive heart failure, diabetes, etc.), where effective care can prevent flare-ups; acute conditions  (ear/nose/throat infections, kidney/urinary tract infections, heart failure, among others), where early intervention can prevent more serious progression; and preventable conditions, where immunisation and other interventions can prevent illness (Ham et al 2010). \nSource: http://www.kingsfund.org.uk/sites/files/kf/field/field_publication_file/data-briefing-emergency-hospital-admissions-for-ambulatory-care-sensitive-conditions-apr-2012.pdf",18,0,3,0,0,0,0,0,0,0,0,1,2,0,0,0,0,3,3,0,0,0,2,1,4,0,1,2,3,0,0,0,1,1,1,2,0,0,5,2,3,0,0,0]
[8,"B, E","Major lower extremity amputation in adults with diabetes","Number of first-time amputees above the ankle joint per 100 000 persons with diabetes. Patients receiving drug therapy",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0]
[8,"E","Complications of diabetes - annual incidence rates of stroke, myocardial infarction, dialysis and/or renal transplantation in patients with diabetes",".",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0]
[8,"A, D, E","Emergency Readmissions within 30 days of discharge from hospital","This indicator examines the risk-adjusted rate of urgent readmissions to acute care facilities within 30 days of discharge for: i) total, ii) by speciality (medical, surgical, obstetrics, pediatrics, psychiatry), iv) by selected disease (COPD, stroke, AMI, etc.)",11,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,5,2,0,0,2,0,1,1,4,1,0,0,3,0,0,1,0,0,0,0,0]
[8,"D","Percent of short-stay nursing home residents readmitted within 30 days of hospital discharge to the nursing home","Percent of newly admitted nursing home residents (never been in a facility before) who are re-hospitalized within 30 days of being discharged to nursing home.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[8,"D","Percent of long-stay nursing home residents hospitalized within a six-month period","Percent of long-stay residents (residing in a nursing home for at least 90 consecutive days) who were ever hospitalized within six months of baseline assessment.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[8,"E","Unscheduled Readmission to an Intensive Care Unit","Percentage of patients with unscheduled readmission within 72 hours to the same intensive care unit",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0]
[8,"E","Readmission within 3 and 6 Months after Treatment for Schizophrenia and Bi-polar","Percentage of patients age 20–59 who were readmitted within 3 or 6 months after inpatient care for schizophrenia. \nSchizophrenia re-admissions to the same hospital, 2011 (Age-sex standardised rates per 100 patients). \nBi-polar re-admissions to the same hospital, 2011 (Age-sex standardised rates per 100 patients).",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,3,0,0,0,0]
[8,"D","Repeat Hospital Stays for Mental Illness","This indicator measures what’s known as the \"revolving door\" syndrome for mental health patients. It looks at how many patients have at least 3 repeat hospital stays for a mental illness in a single year. Frequent hospitalizations may reflect challenges in getting appropriate care, medication and support in the community.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[8,"A, E","Revision operations after selected procedures","Hip replacement revisions per 10,000 inhabitants aged 35 and older. \nKnee replacement revisions per 10,000 inhabitants aged 45 and older. \nRevision Operations after Anterior Cruciate Ligament Surgery (ACL). ",3,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,3,0,0,0,0,0,0,0,0]
[8,"E","Health-related quality of life for people with long-term conditions","The directly standardised average (mean) EQ-5D™ score for people self-reporting one or more long-term conditions.\nThis indicator measures health-related quality of life for people who identify themselves as having one or more long-standing health conditions. Health-related quality of life refers to the extent to which people: i) have problems walking about; ii) have problems performing self-care activities (washing or dressing themselves); iii) have problems performing their usual activities (work, study etc.); iv) have pain or discomfort;",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0]
[8,"E","Health-related quality of life for carers","The directly standardised average (mean) EQ-5DTM score for individuals reporting that they are carers, measured based on responses to the GP Patient Survey.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
[8,"E","Implant survival rate for selected surgical interventions","*) Estimated percentage of patients who were not reoperated on within one year after hemiarthroplasty for femur fracture.\n*) Percentage of knee arthroplasty procedures for which revision was not required within ten years.\n*) Percentage of total hip arthroplasty procedures that did not require revision within ten years.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0]
[8,"E","Monitoring Patients after Bariatric Surgery","The percentage of patients who have been monitored at oneyear follow-up after bariatric surgery",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0]
[8,"E","Loss of Excess BMI One Year after Bariatric Surgery","Loss of excess BMI one year after bariatric surgery. \nThis indicator is an internationally established outcome measure for bariatric surgery.\nThe variable is the percentage of preoperative excess weight that the patient\nhas lost one year after surgery. Preoperative excess weight is defined as the difference\nbetween the preoperative BMI value and 25. Weight loss (occasionally gain) is\nthe difference between BMI one year after surgery and the preoperative level.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0]
[8,"E","Recovery from hip fracture surgery","Following indicators are used: \nThe proportion of patients, expressed as a percentage, with a hip fracture recovering to their previous levels of mobility at 30 days after admission. \nThe proportion of patients, expressed as a percentage, with a hip fracture recovering to their previous levels of mobility at 120 days after admission. \nPercentage of patients, age 50 and older, who returned to their original residence within four months after hip fracture surgery. \nProportion of older people (65 and over) who were still at home 91 days after discharge from hospital into reablement/rehabilitation service. \n",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,3,0,0,0,0,0]
[8,"E","Proportion offered rehabilitation following discharge from acute or community hospital","The proportion, expressed as a percentage, of older people aged 65 and over offered reablement services following discharge from hospital.\nReablement/rehabilitation services are focused on improving people’s health, well-being, confidence and independence after an acute episode of ill health, injury or a gradual decline in functioning in the community. They include all episodes of support provided that are intended to be time limited and aim at maximising the independence of the individual and reducing/eliminating their need for on-going support.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
[8,"E","Improvement after Treatment for Macular Degeneration","Percentage of patients (eyes) who could read at least one more row on the ETDRS eye chart one year after treatment for macular degeneration",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0]
[8,"E","Personal Activities of Daily Living (ADL) three Months after Stroke","The percentage of patients who could handle their personal ADL by themselves prior to stroke, who survived and who were independent of others for these activities three months after the acute phase",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0]
[8,"C","Percentage of people treated successfully among laboratory confirmed pulmonary tuberculosis (TB) cases who completed treatment","Cure rate or treatment success (those cured plus those successfully completed tx without bacteriologic evidence) of sputum smear positive pulmonary TB cases is the most reliable indicator. TB cases registered under a national TB control programme in a given year that successfully completed treatment (without bacteriological evidence of success).\nAt the end of treatment, each patient is assigned one of the following five mutually exclusive treatment outcomes: completed, died, failed, defaulted or transferred out with outcome unknown. The cases assigned to these outcomes, plus any additional cases registered for treatment but not assigned to an outcome, add up to 100% of cases registered.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[8,"E","Compliance of patients with prescribed medications","Percentage of patients age 18 and older with ongoing i) antihypertensive, ii) lithium therapy who continued treatment. Age-standardised.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0]
[8,"B, E","Suicide following hospitalisation for a psychiatric disorder, within 30 days and one year of discharge","Suicide within 30 days and within one year of discharge is established by linking discharge following hospitalisation with a principal diagnosis or first two listed secondary diagnosis code of mental health and behavioural disorders (ICD-10 codes F10-F69 and F90-99), with suicides recorded in death registries (ICD-10 codes: X60-X84). In cases with several admis- sions during the reference year, the follow-up period starts from the last discharge.\nThe data have been age-sex standardised to the 2010 OECD population structure, to remove the effect of different population structures across countries.",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
[8,"A","Self-reported pharmaceutical consumption by selected groups","Disaggregated by age group (15+, 15-64, 65+),  by sex and by education level (ISCED 0-2, 3-4, 5-6) \nProportion of people who report having used medication for asthma, COPD, high blood pressure, cardiovascular diseases, diabetes, tension/anxiety and depression prescribed by a physician during the past 2 weeks.",1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[8,"B, D, E","Pharmaceutical consumption by selected groups","DDD per 1 000 population by selected medication group (e.g. antibiotics, …)",6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,8,0,0,0,0,0,0,0,3,0,0,3,0,1,0,0,0,0,2,1,0,0,0,0,0,0,0]
[8,"E","Percentage of people consuming selected medication","*) Use of antibiotics at least once in the year (% of population)\n*) Use of antidepressants (% of adult population, at least once in the year)\n*) Rheumatoid arthritis – percentage of patients age 18 and older treated with biologic drugs.\n*) Number of people age 20–79 with regular and high consumption of soporifics or sedatives per 100 000 inhabitants. Age-standardised.",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0]
[8,"E","Patients Treated at a Special Stroke Unit","Percentage of patients treated at a special stroke unit",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0]
[8,"A, D, E","Specific disease care performance according to key indicators of quality of care","This includes all possible quality of care indicators as defined by evidence based medicine, i.e. stroke performace, diabetes control, asthma action plan, Good Viral Control for HIV, etc. \nNo attempt was made to list all of them individually.  ",10,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,1,0,6,0,5,0,3,4,0,1,0,26,0,9,0,0,0,0,0,0]
[8,"D","Proportion of people with mental illness with a GP care plan","The number of people aged 16–84 with a GP mental health treatment plan, as a percentage of the estimated number of people aged 16–84 with mental illness.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[8,"E","Percentage of short-term episodes of care in mental health services","nA",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0]
[8,"D, E","Percent of population with a usual source of care","Percent of adults ages 18 and older who have one (or more) person they think of as their personal healthcare provider.",6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,3,0,1,4,4,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
[8,"E","GP encounter within 7 days after hospital discharge (% patients 65+)",null,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[8,"E","Percentages of patients perceiving problems with planning and coordination of health care","Percentagesa of persons aged 18 and older that reported experiencing problems with health care coordination (source: Faber et al., 2013).",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1]
[8,"D","Practice can electronically exchange patient clinical summaries and laboratory and diagnostic tests with doctors outside practice","Survey question. ",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[8,"D","Regular doctor or place always or often helps coordinate and arrange care from other doctors or places","Survey question. ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[8,"D","Specialist did not have information about medical history","Survey question. ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[8,"D","When primary care physicians refer a patient to a specialist, they always or often receive a report back with all relevant health information","Survey question. ",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[8,"D","When primary care physicians refer a patient to a specialist, they always or often receive information about changes to a patients medication or care plan","Survey question. ",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[8,"D","When primary care physicians refer a patient to a specialist, they always or often receive information that is timely and available when needed","Survey question. ",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[8,"D","Doctor receives alert or prompt to provide patients with test results","Survey question. ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[8,"D","Know whom to contact for questions about condition or treatment (base: those hospitalized or having surgery within past 2 years)","Survey question. ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[8,"D","Receive written plan for care after discharge (base: those hospitalized or having surgery within past 2 years)","Survey question. ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[8,"D","Hospital made arrangements for follow-up visits with a doctor or other health care professional when leaving the hospital (base: those hospitalized or having surgery within past 2 years)","Survey question. ",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[8,"D","Primary care physician always or often receives notification that patient has been seen in emergency room","Survey question. ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[8,"D","Primary care physician always or often receives notification that patient is being discharged from hospital","Survey question. ",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[8,"D","Primary care physicians receive the information needed to manage a patient's care within 2 days after they were discharged from the hospital","Survey question. ",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[9,"E","Patients with terminal cancer who received palliative care","Patients with terminal cancer who received palliative care at the end of their life.\nNumerator: Number of patients who received palliative care (in usual place of residence or in hospital).\nDenominator: Number of patients diagnosed with a cancer with poor prognosis and that died within the studied time period.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[9,"E","Start of palliative care very close to death","Proportion of patients who started receiving palliative care and died within one week.\nNumerator: Number of patients who started palliative care and died within the week.\nDenominator: Total number of patients who received palliative care services before their death.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[9,"E","Death at usual place of residence (home or in residential care)","Death at usual place of residence (home or in residential care) (% of terminal cancer patients who died in the year)",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
[9,"E","Palliative sedation","Numbers of patients with palliative sedation. Palliative sedation is the deliberate lowering of a patient’s level of consciousness in the last stages of life. Sedation may be administered either continuously or temporarily or intermittently and it may be superficial or deep. Requirements for continuous and deep sedation are that the patient is suffering unbearably from one or more untreatable diseases (refractory symptoms) and has a life expectancy of one to two weeks. Sedation can be continued until the moment of death.\nPercentage of patients and relatives engaged in decisions about palliative sedation. ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0]
[9,"E","Euthanasia and assisted suicide","Number of notifications of euthanasia and assisted suicide. Euthanasia is defined as deliberately ending a person’s life at that person’s explicit request by a doctor administering lethal medication. A request for euthanasia does not need to be made in writing, but can also be made verbally. Assisted suicide differs from euthanasia in that the person self-administers medication that is prescribed by a doctor.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0]
[9,"E","Pain management at the end-of-life","Percentage of patients at the end of life who assessed pain intensity on the VAS/NRS scale. \nPercentage of patients who were prescribed opioids on an as-needed basis at end of life. ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0]
[9,"E","End-of-life Conversations","Percentage of patients for whom end-of-life conversations were held",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0]
[9,"E","Perceived quality of end-of-life care according to relatives","This indicator refers to following individual indicators: \n*) Degree to which relatives report being treated well by care providers. \n*) Degree to which relatives report care providers having discussed the end of life with patients and relatives and aftercare with relatives. \n*) Degree to which relatives report having the opportunity to be alone with the patients. \n*) Degree to which relatives report being supported by care providers after the death of the patients. ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0]
[9,"E","Percentage of deaths due to withholding life-sustaining treatment","When the quality of life of a patient is so poor and treatment is no longer effective or the side-effects of treatment are unacceptable, a doctor may decide not to start or discontinue life-sustaining treatment. Hastening the end of life may be the result.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
[10,"D","Patient believed a medical mistake was made in treatment or care in past 2 years","nA",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[10,"A, B, D, E","Complications during/following delivery","Including complications during/following delivers: \n*) Obstetric trauma, vaginal delivery with/without instrument: The two obstetric trauma indicators are defined as the proportion of instrument assisted/non-assisted vaginal deliveries with third- and fourth-degree obstetric trauma codes in any diagnosis and procedure field per 100 instrument-assisted/non-assisted vaginal delivers.  Therefore, any differences in the definition of principal and secondary diagnoses have no influence on the calculated rates. \n*) Cesarean delivery: complications during the delivery and puerperium (admitting hospital). ",8,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,2,0,6,0,1,0,0,0,1,0,1,0,0]
[10,"D","Patient safety: Wrong-site surgery","nA",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[10,"A, B, D, E","Complications during/following surgery","Including complications during/following surgery (e.g. hysterectomy, uterine prolapse surgery, hip arthroplasty): \nSurgical complications: Foreign body left in during procedure per 100.000 hospital discharges, \nSurgical complications: Postoperative pulmonary embolism (PE) or deep vein thrombosis (DVT) in hip and knee surgeries [Incidence of post-operative pulmonary embolism or deep vein thrombosis, after hip or knee replacement (/100 000 hip or knee surgery discharges)], \nSurgical complications: Postoperative sepsis [Postoperative sepsis cases (as secondary diagnosis) per 1,000 total or elective surgical discharges for patients aged 18 years and older. Excludes cases with a principal diagnosis of sepsis or infection, cases with an immunocompromised state, cases with cancer, obstetric discharges, and cases with stays of less than four (4) days], \n",9,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,2,0,0,2,0,1,0,8,0,0,1,0,0,0,0,0]
[10,"D, E","Prevalence and incidence rate of hospital-acquired infections (% of patients hospitalised)","Incidence of hospital-acquired MRSA infections (/1000 hospital stays). \nIncidence of healthcare associated infection (HSAI) – C. difficile. \nAn infection is considered an HAI if all elements of a CDC/NHSN (Centers for Disease Control and Prevention/National Healthcare Safety Networks) site-specific infection criterion were first present together on or after the 3rd hospital day (day of hospital admission is day 1). For an HAI, an element of the infection criterion may be present during the first 2 hospital days as long as it is also present on or after day 3. All elements used to meet the infection criterion must occur within a timeframe that does not exceed a gap of 1 calendar day between elements’",9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,3,0,0,0,1,1,0,2,0,0,2,0,2,0,0,0]
[10,"E","Mortality due to hospital acquired infection","Age-standardised mortality rates for deaths with MRSA (methicillin-resistant staphylococcus aureusis) mentioned on the death certificate (per 1 million population)",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0]
[10,"D, E","Prevalence of hospital-acquired pressure ulcers ","(% of patients hospitalised)",3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
[10,"D, E","Percentages of patients experiencing an adverse event during hospitalisation","The number of hospitalisations involving an adverse event (treatment-related harm). This is presented as a number per 100 hospitalisations. Most adverse events are probably attributable to actions, or failures to act, on the part of health care providers.",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
[10,"D, E","Percentages of patients experiencing medical, medication or diagnostic errors","Errors had been made during treatment or care they received in the previous two years. Incidents included medical errors, errors in the prescribing or dispensing of medicines, errors in the conduct of medical examinations or testing, communication of erroneous test results and belated communication of abnormal test results.",4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,1,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
[10,"A, D, E","Unnecessary care","Breast cancer screening outside age target group (% women aged 40-49).\nPatients who received chemotherapy in the last 14 days of life (% of terminal cancer patients who died in the year). \nSent for duplicate tests in past 2 years. ",5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,2,0,1,0,2,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
[10,"D, E","Potentially inappropriate medication prescribed to seniors","Percentage Rate of Beers Drug Use Among Seniors on Public Drug Programs",3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0]
[10,"D","Admissions for drug reactions","Number of hospital admissions due to adverse drug reations",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[10,"D","Doctor routinely receives a computerized alert or prompt about a potential problem with drug dose or interaction","Survey question. ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[10,"D","Doctor routinely recieves reminders for guideline-based interventions and/or tests","Survey question. ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[11,"D, E","Patient experience with inpatient care","Patient experience with inpatient care [hospitalization (admission/discharge)] refers to: \n*) Caregiver Respect and Consideration during Admission to Hospital, \n*) Information during Admission to Hospital, \n*) Participation during Admission to Hospital, \n*) Satisfaction with Care at Hospital. ",4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,1,0,1,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0]
[11,"B, D, E","Patient experience with ambulatory care: Doctor always listens, explains, shows respect, and spends enough time","Patient experience with a regular doctor rather than any doctor.\nRates are age-sex standardised to the 2010 OECD population, to remove the effect of different population structures across countries.\nCWF definition: Percent of Medicare fee-for-service patients who had a doctor’s office or clinic visit in the last 12 months whose health providers always listened carefully, explained things clearly, respected what they had to say, and spent enough time with them.",7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,1,1,1,0,0,0,0,3,0,2,0,0,0,0,0,0,0,0]
[11,"B, D, E","Patient experience with ambulatory care: Doctor providing easy-to-understand explanations","nA",5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,2,0,0,0,1,0,0,0,0,3,0,2,0,0,0,0,0,0,0,0]
[11,"D","Doctor or health care professional discussed patient's main goals or priorities in caring for condition (base: has chronic condition)","nA",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[11,"B, D, E","Patient experience with ambulatory care: Doctor giving opportunity to ask questions or raise concerns, ","nA",4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0]
[11,"B, D, E","Patient experience with ambulatory care: Doctor involving patient in decisions about care and treatment","nA",6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,2,0,2,0,1,0,0,0,0,1,0,2,0,0,0,0,0,0,0,0]
[11,"D","Patient spent a lot of time on paperwork or disputes related to medical bills","Survey question. ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[11,"A, D, E","Satisfaction with healthcare services (% good or very good)","Measuring the opinion of the population regarding their personal experience when using health services (hospital care, GP, outpatient care, maternity, mental health care, etc.)",12,0,0,0,1,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,2,0,1,2,1,5,0,0,0,5,4,2,0,1,15,0,0,0,0,0]
[11,"D","Primary care practices that routinely provide written instructions to patients with chronic diseases","Survey question. ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[11,"D","Physicians reporting it is easy to print out a list","Physicians reporting it is easy to print out a list of: i) patients by diagnosis, ii) all medications taken by individual patients, including those prescribed by other doctors, iii) patients who are due or overdue for tests or preventive care. ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[11,"D","Pharmacist or doctor did not review and discuss all medications patient uses in the past year (base: taking 2 or more prescriptions regularly)","Survey question. ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[11,"D","Patients receive reminders for preventive care","Survey question. ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[11,"E","Percentages of patients receiving discharge information at hospital discharge","Survey question. ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
[11,"E","Meeting Rehabilitation Needs after Stroke","Percentage of stroke patients 12 months after the acute phase who reported that their rehabilitation needs had been met",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0]
[11,"D","With same doctor 5 years or more","Survey question. ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[11,"D","Doctor routinely receives and reviews data on patient satisfaction and experiences with care","Survey question. ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[11,"D","Regular doctor always or often knows important information about patient's medical history","Survey question. ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[11,"D","Healthcare law based on Patients' Rights","Is national HC legislation explicitly expressed in terms of Patients' rights?",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[11,"D","Patient organisation involvement","nA",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[11,"D","No-fault malpractice insurance","Can patients get compensation without the assistance of the judicial system in proving that medical staff made mistakes?",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[11,"D","Right to second opinion","nA",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[11,"D","Registry of bona fide doctors","Indicator refers to register of legit doctors based on survey question: Can the public readily access the info: \"Is doctor X a bona fide specialist?\" To qualify, this has to be a web/telephone based service..",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[11,"D","Provider catalogue with quality ranking","“NHS Choices” in the U.K. a typical qualification for a Green score.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[11,"D","On-line booking of appointments?","Can patients book doctor appointments on-line?",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[11,"D, E","Proportion of population that accesses own health data on-line","Proportion of the population aged 14 and over that has successfully logged into online services that provide access to the person’s own health data",3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0]
[11,"D","Web or 24/7 telephone HC information with interactivity","Information which can help a patient take decisions of the nature: “After consulting the service, I will take a paracetamol and wait and see” or “I will hurry to the A&E department of the nearest hospital”",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[12,"E","Percentages of professional care providers expressing satisfaction with the quality of care delivered by their organisation","Survey question. ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
[12,"E","Percentages of professional care providers rating the quality of care delivered within their own unit or team as inadequate","Survey question. ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
[12,"E","Percentages of professional care providers reporting that sufficient staff and qualified staff is available to ensure good-quality care","Survey question. ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
[13,"B","Community pharmacies","The number of community pharmacies reported are the number of premises where dispensing of medicines happened under the supervision of a pharmacist per 100 000 population",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[13,"A, B, E","Share of generics in the total pharmaceutical market","Market shares in volume of generics in all pharmaceutical products consumed",7,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,1,0,0,0,0,1,0,0,0,0]
[13,"B","Research and development in the pharmaceutical sector: Business expenditure on R&D (BERD) in pharmaceutical industry as a proportion of GDP and of total BERD","Business enterprise expenditure on R&D (BERD) cov- ers R&D activities carried out in the private sector by performing firms and institutes, regardless of the origin of funding. This includes all firms, organisations and institutions whose primary activity is the production of goods and services for sale to the general public at an economically significant price, and the private and not-for-profit institutions serving them. BERD will register in the country where the R&D activity took place, not the country of origin of the organisations funding the activity.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[13,"D, E","W.A.I.T indicator for innovative medicinesa (in days)","W.A.I.T indicator defined as average number of days between marketing authorisation and patient access",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[13,"D","Availabiliity of layman-adapted pharmacopoeia","Survey question: Is there a layman-adapted pharmacopeia readily accessible by the public (www or widely avaliable)? A pharmacopei is a book containing directions for the identification of compound medicines, and published by the authority of a government or a medical or pharmaceutical society.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[13,"D","Novel cancer drugs deployment rate","ATC code L01XC (monoclonal antibodies) Use per capita, MUSD p.m.p. This group comprises preparations used in the treatment of malignant neoplastic diseases, and immunomodulating agents. Monoclonal antibodies indicated only for the treatment of cancer are classified in L01XC.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[14,"E","Numbers of multiple-bed rooms in residential and nursing homes","nA",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
[14,"A, B, D","Share of the population aged over 65 and 80 years",".",4,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,1,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[14,"A, E","Old age dependency ratio","Population 65 and over to population 15 to 64 years.",4,1,0,0,0,0,0,0,0,1,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0]
[14,"E","Ratio of discharges from public acute hospital to community care to discharges to long-term care facilities in the elderly population","Number of patients over 75 years of age who are discharged to their residence as compared to the number of patients over 75 years who are discharged to a long term residential or nursing facility.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0]
[14,"A, B, D, E","Proportion of population receiving long-term care","Percentage of total population; by sex, by disease group (dementia, congestive heart failure), by age (younger than 65 years, oder than 85 years), by different types of LTC",5,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,5,0,0,0,0,2,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0]
[14,"B","Share of long-term care recipients aged 65 years and over receiving care at home","Percentage of total LTC recipients aged 65 years and over by clinical and functional condition",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[14,"D","Physical Functioning in Long-Term Care","Percentage of Residents Whose Status Improved on Mid-Loss ADL Functioning (Transfer and Locomotion) or Remained Completely Independent in Mid-Loss ADLs. \nThis indicator looks at how many long-term care residents improved or remained independent in transferring and locomotion. Being independent or showing an improvement in these 2 activities of daily living (ADLs) may indicate an improvement in overall health status and provide a sense of autonomy for the resident.\nPercentage of Residents Whose Mid-Loss ADL Functioning (Transfer and Locomotion) Worsened or Who Remained Completely Dependent in Mid-Loss ADLs\nThis indicator looks at how many long-term care residents worsened or remained completely dependent in transferring and locomotion. An increased level of dependence on others to assist with transferring and locomotion may indicate deterioration in the overall health status of a resident.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[14,"D","Worsened Depressive Mood in Long-Term Care","This indicator looks at the number of long-term care residents whose mood from symptoms of depression worsened. Depression affects quality of life and may also contribute to deteriorations in activities of daily living (ADLs) and an increased sensitivity to pain.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[14,"D","Experiencing Pain in Long-Term Care","This indicator looks at how many long-term care residents had pain. The consequences of pain include increased difficulty with activities of daily living (ADLs), depression and lower quality of life. The prevalence of persistent pain increases with age, and proper treatment of pain is necessary to improve the health status of residents.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[14,"D","Experiencing Worsened Pain in Long-Term Care","This indicator looks at how many long-term care residents had worsened pain. Worsening pain can be related to a number of issues, including medication complications and/or improper management of medication. Careful monitoring of changes in pain can help identify appropriate treatment. Worsened pain raises concerns about the resident's health status and the quality of care received.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[14,"E","Proportion of people feeling supported to manage their long-term condition","The directly standardised proportion of people with a long-term health condition who report having had enough support from local services or organisations to help manage their condition, in the last six months. Patients are asked to consider all services and organisations, not just health services. This is expressed as a percentage.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
[14,"D, E","Avoidable problems in clients in care homes and home care: pressure ulcers, malnutrition, malnutrition risks, falls, restraint use","*) Prevalence of pressure ulcers (grade II-IV) in home for the elderly (% of residents), \n*) Falls in the Last 30 Days in Long-Term Care, \n*) Restraint Use in Long-Term Care: This indicator examines the percentage of residents in daily physical restraints. It is calculated by dividing the number of residents who were in daily physical restraints by the number of all residents with valid assessments within the applicable time period.\n",7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,3,1,0,0,0,2,0,0,0,0,1,2,0,1,0,0,0,0,0,0,0]
[14,"B, D, E","Polypharmacy and excessive polypharmacy among the elderlies","Proportion of the population aged 65 years and older reporting having taken respectively 5 or 9 or more different medicines during the last 24 hours, also disaggregated by specific groups of medicines (e.g. lipid modifying agents, antithrombotic agents, antidepressants, etc.)",6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,1,0,0,1,3,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0]
[14,"B, E","Population reporting to be informal carers","Informal carers (% of pop) by age (15+, older than 50 years) by sex",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[14,"B","Frequency of care provided by informal carers","daily, weekl (% of carers)",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[14,"E","Percentages of informal carers reporting problems with their own social participation as a result of their care provision","Survey question. ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
[14,"C, E","Percentage of people aged 65 years and over living alone","This indicator measures the potential support needed for older – and in general more vulnerable – people in a community by measuring the percentage of people aged 65 and over living alone.",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0]
[14,"B","Long-term care workers per 100 people aged 65 and over","Workers per 100 people aged 65+",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[15,"C","Crude death rate per 1000 population","The crude death rate is the number of deaths occurring among the population of a given geographical area during a given year, per 1,000 mid-year total population of the given geographical area during the same year.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[15,"A, B, C, D, E","Life expectancy","Total population, disaggregated by sex and by educational attainment. \nLife expectancy at birth, ages 1, 15, 45 and 65 years represents the average number of years of life remaining if a group of persons at that age were to experience the mortality rates for a particular year over the course of their remaining life.",26,2,0,2,2,1,0,1,1,1,0,1,1,1,2,0,0,2,2,1,2,0,1,2,0,0,1,0,3,3,0,0,1,0,1,1,1,1,1,0,0,0,0,0]
[15,"B","Gap in life expectancy at age 30 by sex and educational level","The gap in the expected years of life remaining at age 30 between adults with the highest level (“tertiary education”) and the lowest level (“below upper secondary education”) of education.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[15,"A, B, C, D, E","Healthy Life Years (HLY)","Total population, at birth and at age 65 disaggregated by sex.\nThe indicator of healthy life years (HLY) measures the number of remaining years that a person of specific age is expected to live without any severe or moderate health problems. The notion of health problem for Eurostat's HLY is reflecting a disability dimension and is based on a self-perceived question which aims to measure the extent of any limitations, for at least six months, because of a health problem that may have affected respondents as regards activities they usually do (the so-called GALI - Global Activity Limitation Instrument foreseen in the annual EU-SILC survey). The indicator is therefor also called disability-free life expectancy (DFLE). So, HLY is a composite indicator that combines mortality data with health status data.",18,3,0,0,1,1,0,1,1,0,0,1,1,2,2,2,0,1,2,0,1,0,0,0,1,0,0,0,3,1,0,0,0,0,1,0,0,0,0,1,0,0,0,0]
[15,"A, B, C, D, E","Potential years of life lost (PYLL) ","Total population, disaggregated by sex, age, socio-economic-status (SES), cause. \nCurrent OECD definition: Potential Years of Life Lost (PYLL) is a summary measure of age-standardized premature mortality rate which provides an explicit way of weighting deaths occurring at younger ages, which are, a priori, preventable. The calculation of PYLL involves summing up deaths occurring at each age multiplying this with the number of remaining years to live up to a selected age limit (70 years for OECD Health data calculation).",9,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,1,0,0,0,1,1,0,0,1,0,0,0,2,0,1,0,0,0,2,0,0,0,0,0]
[15,"E","Disability-Adjusted Life Year (DALY)","Disaggregated by sex and by cause. \nOne DALY can be thought of as one lost year of \"healthy\" life. The sum of these DALYs across the population, or the burden of disease, can be thought of as a measurement of the gap between current health status and an ideal health situation where the entire population lives to an advanced age, free of disease and disability.  (http://www.who.int/healthinfo/global_burden_disease/metrics_daly/en/)",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[15,"A, E","Percentage of live births with Apgar Score below 7","Disaggregated by place of birth (home, hospital, ...). \nPercentage of newborns with Apgar score under 7 at five minutes. Age-standardised. The Apgar score is a system for standardised assessment of the vitality of neonates. The baby’s heart rate, breathing, skin colouration, activity and muscle tone, and reflex irritability are rated on a scale of 0–10 at one minute, five minutes and ten minutes after birth. ",3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,1,0,0]
[15,"A, B, C, D, E","Infant mortality rate","The ratio of number of deaths of children under one year of age to the number of live births. The value is expressed per 1000 live births.",17,1,0,1,1,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,1,0,0,0,2,1,1,0,1,1,1,0,1,0,1,0,0,0,1,0,0,1,0,0]
[15,"A, B, E","Perinatal mortality rate","The number of fetal deaths and deaths in the early neonatal period (up to 6 completed days after birth) after live birth, expressed per 1000 live and stillbirths in the same year.\nEurostat: \nPerinatal mortality rate per 1000 births is calculated as the the number of stillbirths plus deaths at age day 0 to (and including) day 6 divided by the number of births. The value is expressed per 1000 births.\n-) Early neonatal mortality rate per 1000 live births is calculated as the ratio of the number of deaths at age day 0 to (and including) day 6 to the number of live births. The value is expressed per 1000 live births.\n-) Late foetal mortality rate per 1000 births is calculated as the ratio of the number of stillbirths to 1000 births. The value is expressed per 1000 births.",7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,1,1,1,0,0,0,0,0,0,0,0]
[15,"A, E","Neonatal mortality rate","The number of neonatal deaths (day 0 through 27) after live birth in a given year per 1000 live births in the same year calculated by gestational age, birth weight and plurality.\nThis rate is presented for all births at or after 22 completed weeks of gestation.\nThis rate is sub-divided by timing of death into early neonatal deaths (0-6 days of life) and late neonatal deaths (7-27 days).",5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,1,0,0,1,0,0,1,0,0]
[15,"E","Postneonatal mortality rate","The number of babies and children dying after 29 days to one year old for every 1,000 that were born alive.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0]
[15,"A","Fetal mortality rate by gestational age, birth weight, plurality","The number of fetal deaths at or after 22 completed weeks of gestation in a given year per 1000 live and stillbirths in the same year calculated by gestational age, birth weight\nand plurality.\nFetal deaths are differentiated by whether they are spontaneous fetal deaths or result from a termination of pregnancy.\nCohort rates (deaths after live birth in the year, even if the deaths occur in the following year) are also collected by the Euro-Peristat project.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0]
[15,"A, D, E","Child mortality rate","Death rate per 100,000 population by age 1-14",4,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0]
[15,"A, C, D, E","Maternal mortality rate","The maternal mortality ratio is the annual number of female deaths from any cause related to or aggravated by pregnancy or its management (excluding accidental or incidental causes), during pregnancy and childbirth or within 42 days of termination of pregnancy, irrespective of the duration and site of the pregnancy, per 100 000 live births, for a specified year.",5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,1,0,1,0,0,0,0,0,0,0,0,2,0,0]
[15,"A, B, D, E","Avoidable mortality rate: amenable and preventable deaths","Avoidable mortality: A death is considered avoidable if, in the light of medical knowledge and technology or in the light of understanding of the determinants of health at the time of death, all or most deaths from that cause (subject to age limits if appropriate) could be avoided through good quality healthcare (amenable mortality) or by public health interventions in the broadest sense (preventable mortality). More precisely: \nA death is amenable if, in the light of medical knowledge and technology at the time of death, all or most deaths from that cause could be avoided through good quality health care. \nA death is preventable if, in the light of understanding of the determinants of health at the time of death, all or most deaths from that cause could be avoided by public health interventions in the broadest sense.",7,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,2,0,0,0,1,0,2,1,0,0,0,0,0,0,0]
[15,"A, D, E","Preventable mortality rate","Total number of deaths which can be attributed to preventable deaths (list of ICD codes defined by Eurostat's TS Satellite list). A death is preventable if, in the light of understanding of the determinants of health at the time of death, all or most deaths from that cause could be avoided by public health interventions in the broadest sense.",6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,1,1,1,0,0,0,0,0,0,0]
[15,"A, B, D, E","Amenable mortality rate","Total number of deaths which can be attributed to amenable deaths (list of ICD codes defined by Eurostat's TS Satellite list). A death is amenable if, in the light of medical knowledge and technology at the time of death, all or most deaths from that cause could be avoided through good quality health care. ",11,0,0,1,0,0,0,0,0,0,0,1,1,0,1,0,0,0,1,0,0,0,0,1,2,0,0,1,1,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0]
[15,"A, B, C, D, E","Standardized mortality rate from all causes, disaggregated by age, sex and cause of death","Standardised death rate caused by specific diseases or disease groups per 100,000 inhabitants for the following ICD-10 codes: Total (All Causes), Infectious & Parasitic Diseases, AIDS (HIV Disease), Malignant Neoplasms, Malignant Neoplasm of Stomach, Malignant Neoplasm of Colon, Malignant Neoplasm of Larynx & Trachea / Bronchus / Lung, Malignant Melanoma of Skin, Malignant Neoplasm of Breast, Malignant Neoplasm of Cervix, Malignant Neoplasm of Prostate, Malignant Neoplasm of Lymphatic / Haematopietic Tissue, All Childhood Cancers (Age 0-14 Years), Mental and Behavioural Disorders, Diseases of the Circulatory System, Ischaemic Heart Disease, Cerebrovascular Disease, Diseases of the Respiratory System, Chronic Lower Respiratory Diseases, Diseases of the Digestive System, External Causes of Injury & Poisoning, Accidents, Transport Accidents, Accidental Falls, Suicide & Intentional Self Harm, Homicide / Assault. ",20,5,0,0,0,0,0,1,2,0,1,0,1,0,0,0,0,10,0,0,8,1,0,0,3,3,3,0,1,2,2,0,2,0,2,1,1,0,6,1,0,0,0,0]
[15,"A, B, D, E","Chronic diseases mortality rate","Disaggregated by sex. \nIt is defined as the standardised death rate per 100 000 persons of certain chronic diseases for persons aged under 65 years, by gender.\nThe following diseases have been considered:malignant neoplasms, diabetes mellitus, ischaemic heart diseases, cerebrovascular diseases, chronic lower respiratory diseases, and chronic liver diseases.",6,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,2,2,0,0,0,1,0,0,0,0,0,0,0,0,4,0,0,0,0,0]
[15,"B, E","Excess mortality from psychiatric disorders","This indicator is a ratio of two mortality rates (Rate 1 and Rate 2 below) and aims to measure the excess mortality from all causes in people who have a diagnosis of schizophrenia.\nRate 1: Directly age- and sex-standardised “all cause” mortality rate in the reference year (e.g. 2013) for all persons aged between 15 and 74 years old in the population with schizophrenia. Numerator: All deaths among the denominator population in the reference year. Denominator: All people aged 15-74 ever diagnosed with schizophrenia (see list of ICD codes) as obtained from a register or equivalent data source in the reference year.\nRate 2: Directly age- and sex-standardised “all cause” mortality rate in the same reference year for all persons aged between 15 and 74 years old in the total population. Numerator: All deaths among the denominator population in the reference year. Denominator: All people aged 15-74 in the reference year.\n\nThis indicator is a ratio of two mortality rates and aims to measure the excess mortality from all causes in people who have a diagnosis of bipolar disorder.\nRate 1: Directly age- and sex-standardised “all cause” mortality rate in the reference year (eg 2013) for all persons aged between 15 and 74 years old in the prevalent population with bipolar disorder. \nNumerator: All deaths among the denominator population in the reference year. \nDenominator: All people aged 15-74 ever diagnosed with bipolar disorder (see list of ICD codes) as obtained from a register or equivalent data source in the reference year.\nRate 2: Directly age- and sex-standardised “all cause” mortality rate in the same reference year for all persons aged between 15 and 74 years old in the total population.\nNumerator: All deaths among the denominator population in the reference year. Denominator: All people aged 15-74 in the reference year",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0]
[15,"A, B, C, D, E","Mortality rates from external causes","Total population, disaggregated by sex. \nExternal causes of mortality V01-Y89 as accidents and violence including environmental events, circumstances and conditions as the cause of injury, poisoning, and other adverse effects.",6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,5,0,0,0,0,1,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0]
[15,"A, E","Mortality rate from work-related accidents","Incidence rates relate the number of accidents to the reference population of persons in employment (persons exposed to the risk of accident at work). A fatal accident is defined as an accident, which leads to the death of a victim within one year of the accident. ",3,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0]
[15,"A, B, C, D","Suicide mortality rate","Total population, disaggregated by age and sex. \nThe crude death rate from suicide and intentional self-harm per 100 000 people. ",10,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,1,0,0,1,0,0,0,1,0,1,0,1,0,0,0,0,0,0,1,1,0,0,1,0,0,0,0]
[15,"A, C, D","Addiction related mortality rate","Drug-related deaths per 100,000 inhabitants by sex, age-group (<25y). \nDeath rates from combined, selected causes of death which are related to smoking in people, per 100,000 by age group (aged 35+, 35-64), 65+), by sex. \nDeath rates from combined, selected causes of death which are related to smoking in people, per 100,000 by age group (aged 35+, 35-64), 65+), by sex. ",3,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[15,"A","Excess mortality by extreme temperatures (formerly 'by heat waves')","To be developed: Daily number of observed deaths and death rates (all cause) in a region during a heat wave or a period of extreme winter cold in relation to the expected number of deaths and death rate for the same calendar day.",1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[16,"A, C, D, E","Incidence rate of sexually transmitted infections and blood-borne viruses","Disaggregated by sex and age group (0-24, 25-64, 65+). \nThe number of new cases per 100,000 population of syphilis, HIV, AIDS, hepatitis B, hepatitis C, chlamydia and gonococcal infections.",7,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,1,0,0,0,3,0,1,0,1,0,0,0,0,0,0,0]
[16,"C, E","Incidence rate of tuberculosis (TB)","Disaggregated by sex and age. \nThe number of new cases per 100,000 population of tuberculosis. ",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0]
[16,"E","Incidence rate of measles","Disaggregated by sex and age. \nThe number of new cases per 100,000 population of measles. ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[16,"E","Incidence rate of bacterial meningitis","Yearly numbers of new bacterial meningitis cases",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
[16,"A, B, D, E","Birth weight distribution by vital status, gestational age, plurality","Number of births within each 500g weight interval expressed as a proportion of all live and stillbirths calculated by gestational age and vital status at birth for singletons and multiples.\nPercentage of life births with weighing less than 2500 grams per 100 live births in a given year.",5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0]
[16,"A, B, D, E","Self-reported/perceived general health","Disaggregated by by sex, age-group (15-64, 65+), educational level (ISCED 0-1, 2, 3-4, 5-6), by income quintile (gap q1/q5). \nProportion of persons who assess their health to be very good or good. ",16,1,0,0,1,0,0,2,0,0,0,1,2,0,0,0,0,3,0,2,0,0,1,1,1,0,1,0,1,1,0,0,1,0,1,0,1,0,0,0,0,0,0,0]
[16,"E","Self-reported dental health","Disaggregated by sex and age. \nIndividuals who stated that they consider their dental health to be fairly good or very good. ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0]
[16,"D","Percent of adults ages 18–64 who have lost 6 or more teeth due to tooth decay, infection, or gum disease","Survey question. ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[16,"A, B, D","Long-term activity limitations","Disaggregated by sex, by age-group (15-64, 65+), by educational level (ISCED class 0-1, 2, 3-4, 5-6).\nProportion of people reporting that they have long- term restrictions in daily activities. ",5,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[16,"A, D","Self-reported physical and sensory functional limitations","Disaggregated by sex, by age-group (15+, 15-64, 65+) and educational level (ISCED class 0-2, 3-4, 5-6). \nProportion of people reporting to have physical and/or sensory functional limitations (concerning seeing, hearing, mobility, speaking, biting/chewing, and agility). ",1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[16,"A","Self-reported general musculoskeletal pain","To be developed: Prevalence of general musculoskeletal pain, measured by means of health interview survey using representative population sample.",2,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[16,"A, D","Self-reported chronic morbidity","Disaggregated by sex, by age-group (15-64, 64+) and by educational level (ISCED class 0-1, 2, 3-4, 5-6). \nProportion of people reporting that they have any long-standing chronic illness or long-standing health problem.",2,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[16,"D","Self-reported mutliple chronic morbidity","Proportion of people reporting that they have multiple long-standing chronic illnesses or long-standing health problems.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[16,"A, B, C, D, E","Standardised incidence rates of cancer (breast, colorectal, prostate, lung, cervical)","Total population, disaggregated by sex, age group (0-64, 65+) and SES. \nTotal cancer incidence and incidence of the most important cancers, per 100,000 population, in a given year’.",7,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,3,1,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0]
[16,"A, D, E","Prevalence rate of Diabetes","Disaggregated by sex, by age-group (15+, 15-64, 65+) and by education level (ISCED class 0-2, 3-4, 5-6).\nProportion of individuals reporting to have ever been diagnosed with diabetes and to have been affected by this condition during the past 12 months.\nNumber of individuals  that have ever been diagnosed with diabetes and that have been affected by this condition during the past 12 months, per 100,000 / % of population.",4,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0]
[16,"A, E","Incidence rate of Diabetes","Percentage of persons with diabetes diagnosed in the past 12 months.",2,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0]
[16,"A, D, E","Attack rate of acute myocardial infarction (AMI) (non-fatal and fatal) and coronary death","Disaggregated by sex and by age-group (35-74, 35-64).\nAttack rate of acute myocardial infarction (non-fatal and fatal) and coronary death per 100,000 population.",4,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0]
[16,"A","Attack rate of stroke (non-fatal and fatal)","Disaggregated by sex and by age-group (35-84, 35-64). \nAttack rate of stroke (non-fatal and fatal) per 100,000 population.",1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[16,"A, C, D","Incidence rate of Blood pressure, self-reported","Disaggregated by sex, age-group (25+, 25-64, 65+) and by educational level (ISCED class 0-2, 3-4, 5-6). \nProportion of individuals reporting to have been diagnosed with high blood pressure which occurred during the past 12 months.",5,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[16,"A, D","Prevalence rate of Asthma","Disaggregated by sex and by age-group (0-14, 15+). \nProportion of individuals reporting to have been diagnosed with asthma and to have ever been affected by this condition during the past 12 months.\nNumber of individuals per 100,000/% of population, that have ever been diagnosed with asthma and that have been affected by this condition during the past 12 months.",2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[16,"A, D","Prevalence rate of COPD","Disaggregated by sex, age-group (15+, 15-64, 65+) and educational level (ISCED class 0-2, 3-4, 5-6).\nProportion of individuals reporting to have ever been diagnosed with chronic obstructive pulmonary disease (COPD) and to have been affected by this condition during the past 12 months. \nNumber of individuals that have ever been diagnosed with chronic obstructive pulmonary disease (COPD) and that have been affected by this condition during the past 12 months, per 100,000 / % of population.",2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[16,"D","Incidence rate of end-stage kidney disease","Number of new cases of treated end-stage kidney disease (ESKD) plus number of individuals who died with an underlying cause of death of renal failure or an associated cause of death of chronic renal failure, end-stage, and did not receive dialysis or transplant treatment (untreated cases), per 100,000 population.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[16,"A, E","Incidence rate of accidents at home and/or during leisure activities resulting in injuries","Disaggregated by sex and age-group (0-14, 15-24, 25-64, 65+). \nProportion of individuals reporting to have had an accident at home, during leisure activities, and/ or at school during the past 12 months, which a) resulted in injury; b) resulted in injury for which medical treatment was sought \nNumber of accidents at home and/or during leisure activities during the past 12 months, resulting in an injury that required treatment in a hospital, expressed per 100,000.\n",3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0]
[16,"A","Incidence rate of road traffic accidents resulting in injuries","Disaggregated by sex, age-group (15+, 15-24, 25-64, 65+) and educational level (ISCED class 0-2, 3-4, 5-6). \nProportion of individuals reporting to have had a road traffic accident during the past 12 months, which resulted in a) injury; b) injury for which medical treatment was sought.\nNumber of persons not fatally injured in a road traffic accident, per 100,000 inhabitants by age-group (0-14, 15-24, 25-64, 65+)",3,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0]
[16,"A","Incidence rate of accidents at work resulting in injuries","Disaggregated by sex and age-group (18-24, 25-64, 65+). Standardised incidence rate of accidents at work per 100,000 workers. ",4,1,0,0,2,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0]
[16,"E","Incidence rate of occupational diseases","Incidence rates (new cases) of work-related/occupational diseases. \nWHO definition: An “occupational disease” is any disease contracted primarily as a result of an exposure to risk factors arising from work activity. “Work-related diseases” have multiple causes, where factors in the work environment may play a role, together with other risk factors, in the development of such diseases. (http://www.who.int/occupational_health/activities/occupational_work_diseases/en/)",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[16,"A, D, E","Self-reported/perceived mental health","Disaggregated by sex, age, income quintile. \nAspect of mental health (psychological distress and mental well-being, e.g. occurrence and extent of psychological distress/well-being during past month; Eurostat: EHIS 2014, available in 2017. ",9,3,0,0,1,0,0,2,0,0,1,1,2,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0]
[16,"A, D","Prevalence rate of Depression","Disaggregated by sex, by age-group (15+, 15-64, 65+). \nProportion of individuals reporting to have ever been diagnosed with depression and to have been affected by this condition during the past 12 months. \nNumber of individuals that have ever been diagnosed with depression and that have been affected by this condition during the past 12 months, per 100,000 / % of population.",3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[16,"A, D","Incidence rate of Depression, self-reported","Proportion of people reporting diagnosed chronic depression in the past 12 months. ",2,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[16,"A","Suicide attempt","To be developed: Proportion of persons having ever attempted suicide.",2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0]
[16,"A","Suicide attempt","To be developed: Proportion of persons having ever attempted suicide.",2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0]
[16,"A, B, E","Prevalence rate of dementia/alzheimer","Number of individuals by sex aged 65+ that have been diagnosed with dementia, per 100,000",4,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
[17,"D, E","Health literacy (at least sufficient level)","Percentage of people having a sufficient level of health literacy, defined as the ability to access, understand, appraise and apply relevant information to take decisions concerning health care, prevention and health promotion.\nThe value of the indicator has been calculated as a score derived from a short version of the EU Health Literacy Survey (HLS-EU) project questionnaire; this short versions contains 16 questions. Values of the score are then grouped according to cut off scores into 3 groups: sufficient, problematic and insufficient health literacy. ",3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[17,"A, B, C, D, E","Prevalence of different smoking status, self-reported","Diaggregated by sex, age-group (15+, 15-26, 25-64, 65+), educational level (ISCED class 0-2, 3-4, 5-6) and by income quintile gap q1/q5.\nProportion of people reporting to i) smoke cigarettes daily, ii) be ex-smokers, iii) have never smoked.",20,1,0,0,1,0,0,2,0,0,1,1,1,3,1,0,0,2,0,0,2,0,1,1,1,0,1,2,1,1,0,0,1,0,1,0,1,0,0,0,0,0,0,0]
[17,"A, D, E","Prevalence of smoking among pregnant women","The number of women who smoke during the third trimester of pregnancy expressed as a proportion of all women delivering live or stillborn babies.\nWhen data are not available for the third trimester of pregnancy, data are requested for another time point during pregnancy.",6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,1,1,0,0,0,0,1,0,0]
[17,"A, B, C, D, E","Total alcohol consumption","Disaggregated by sex and age. \nTotal alcohol consumption is defined as the total (recorded + unrecorded) amount of alcohol consumed per adult (15+ years) over a calendar year, in litres of pure alcohol or total Adult Per Capita (Total APC). Recorded alcohol consumption refers to official statistics (production, import, export, and sales or taxation data), while the unrecorded alcohol consumption refers to alcohol which is not taxed and is outside the usual system of governmental control. In circumstances in which the number of tourists per year is at least the number of inhabitants, the tourist consumption is also taken into account and is deducted from the country s recorded APC.",10,2,0,0,1,0,0,0,0,0,1,1,0,1,1,0,0,1,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0]
[17,"A, B, C, D, E","Hazardous alcohol consumption, self-reported","Disaggregated by sex, age and educational level. \nProportion of individuals reporting to have had an average rate of consumption of more than 20 grams pure alcohol daily for women and more than 40 grams daily for men.",12,1,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1,0,0,1,0,1,1,0,1,0,0,2,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0]
[17,"A, D","Use of illicit drugs, self-reported","Disaggregated by by age group (15-34, 15-64). \na) Percentage of people reporting to have ever used [drug category].\nb) Percentage of people reporting to have used [drug category] in the last year.",3,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[17,"A, B, D, E","Fruit and vegetable consumption rate","Disaggregated by sex, by age group (15+, 15-24, 25-64, 65+) and by educational level (ISCED class 0-2, 3-4, 5-6). \nProportion of people reporting to eat \na) fruits (excluding juice) at least once a day.\nb) eat vegetables (excluding potatoes and juice) at least once a day.",10,2,0,0,2,0,0,1,0,0,0,1,2,0,0,0,0,2,0,0,0,0,1,0,0,0,2,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0]
[17,"A, B, C, D, E","Body Mass Index","Disaggregated by age-group, by sex and by educational level (ISCED class 0-2, 3-4, 5-6), by income quintile gap q1/q5. \nProportion of persons who are underweight, normal weight, obese, i.e. whose body mass index (BMI) is  <20 kg/m2 for underweight, <25 kg/m2 for normal weight, ≥25 kg/m2  for overweight and ≥30 kg/m2 for obesity. ",18,1,0,0,1,0,0,2,0,0,1,1,1,3,1,0,0,4,0,0,2,0,1,1,2,0,1,0,2,2,0,0,1,0,0,0,1,0,0,0,0,0,0,0]
[17,"A, D, E","Daily physical activity rate","Disaggregated by sex, age group and by education level (ISCED class 0-2, 3-4, 5-6). \nPercentage of the population practising at least 30 minutes of physical activity (moderate or intense) per day.",12,1,0,0,1,0,0,1,0,0,0,1,1,0,0,0,0,0,0,0,0,0,1,1,0,0,1,0,1,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0]
[17,"E","Sedentary leisure time","Individuals who stated that they have a sedentary leisure time when asked “How much have you moved about and exerted yourself physically in your leisure time during the past 12 months?”, 16–84 years old.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0]
[17,"E","Participation in acitivites arranged by sports clubs","Individuals in the age group 13–20 who participate during a year in sports associations that qualify for municipal local activity support, divided by the number of inhabitants aged 13–20.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0]
[17,"A, D, E","Breastfeeding rates","Percentage of infants reaching their first birthday in the given calendar year who were breastfed, at least partially, when they were 3 and 6 months of age.",5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0]
[18,"A","Policies on ETS exposure (Environmental Tobacco Smoke)","Under development: \nComposite measure reflecting level of implementation by (health) authorities of regulations on smoking restrictions in specified (public) domains.",2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[18,"D","Cigarette sales per capita age 15+","Smoking Prevention: Cigarette sales per capita age 15+",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[18,"A","Policies on healthy nutrition","Under development: A composite index of laws, regulations and good practices on promoting healthier nutrition.]",2,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[18,"A","Policies and practices on healthy lifestyles","Under development: A composite index of regulations and good practices on promoting healthier nutrition.]",2,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[18,"A, D, E","Integrated programmes in settings, including workplace, schools, hospital","Under development: A composite index of integrated programmes for health promotion policy and practice in different settings, including workplace, schools, hospitals, communities, prisons and other key settings for health promotion interventions.]",6,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[18,"A","Housing conditions","‘share of total population living in a dwelling with a leaking roof, damp walls, floors or foundation, or rot in window frames or floor, overcrowding and its positive counterpart, share of people living in under occupied dwellings) lack of bath or shower and toilet’) and ‘satisfaction with accommodation’ (under development in SILC 2013)",2,0,0,0,0,0,0,5,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[18,"A, E","Satisfaction with recreational and green areas ","Measures related to satisfaction with recreational and green areas and with the immediate living environment are currently under development in SILC 2013. The  variable  refers  to  the  respondent’s  opinion/feeling  about  the  degree  of  satisfaction  with  \nthe  recreational  or  green  areas  in  the  place  where  he/she  lives.  As  in  variable  PW010  the  respondent  should  make  a  broad,  reflective  appraisal  of  recreational  or  green  areas  in  a  particular point in time (these days). ",2,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0]
[18,"D, E","Access to footpaths and cycle paths","Citizens' assessment of the availability of footpaths and cycle paths in the municipality, on a scale of 1–10.",2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0]
[18,"A","Satisfaction with living environment","SILC 2013: The  variable  refers  to  the  respondent’s  opinion/feeling  about  the  degree  of  satisfaction  with  the quality of his/her living environment. As in variable PW010 the respondent should make a broad,  reflective  appraisal  of  all  areas  related  to  living  environment  in  a  particular  point  in  time (these days). ",1,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[18,"E","Safe in school","Pupils in grade 5 in compulsory school who answered “agree completely” or “mostly true” in response to the statement “I feel safe at school”, the municipal pupil survey. ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0]
[18,"D","Children exposed to tobacco smoke in the home","The percentage of households with dependent children (aged 0–14) where adults report smoking inside the home.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[18,"A, D, E","Urban population exposure to air pollution, by particulate matter","Annual urban population average exposure to outdoor air pollution by particulate matter (PM10).\nFine and coarse particulates (PM10), i.e. particulates whose diameters are less than 10 micrometers, can be carried deep into the lungs where they can cause inflammation and a worsening of the condition of people with heart and lung diseases.",5,1,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[18,"A","Urban population exposure to air pollution, by ozone","Annual urban population average exposure to outdoor air pollution by particulate matter (PM10).\nFine and coarse particulates (PM10), i.e. particulates whose diameters are less than 10 micrometers, can be carried deep into the lungs where they can cause inflammation and a worsening of the condition of people with heart and lung diseases.",2,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[18,"A","Index of production of toxic chemicals, by toxicity class","Presents the trend in aggregated production volumes of toxic chemicals, broken down into five toxicity classes. The toxicity classes, beginning with the most dangerous, are: carcinogenic, mutagenic and reprotoxic (CMR-chemicals);  chronic toxic chemicals; very toxic chemicals; toxic chemicals; and harmful chemicals.\nThe indicator is a Sustainable Development Indicator (SDI). It has been chosen for the assessment of the EU progress towards the targets of the Sustainable Development Strategy.",1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[18,"A","Proportion of population living in households considering that they suffer from noise","The percentage of the total population who declare that they are affected either by noise from neighbours or from outside.",2,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[18,"C","Percentage of population with improved sanitation facilities","An improved sanitation facility is defined as one that hygienically separates human excreta from human contact.\nImproved sanitation facilities include: i) flush/pour flush to: *) piped sewer system, *) septic tank, *) pit latrine; ii) ventilated improved pit latrine; iii) pit latrine with slab; iv) composting toilet.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[18,"D, E","Percentage of population having access to clean drinking-water","nA",3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[18,"A, E","Physical and personal security","Physical and personal security covers the issues of crime (age-standardised homicide rate / 100 000 people); -the perception of crime, violence or vandalism in the area; and -the perception of physical safety (population feeling safe when walking alone in their area after dark - under development in SILC 2013).",2,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0]
[18,"E","Surveying and collaboration: Domestic violence","The first indicator studies the incidence of surveys concerning the extent of violence against adults in the municipalities, while the second measures the incidence of current agreements concerning collaboration between social services for youth and adolescent, preschools and schools in the municipalities.\nDomestic violence, the social service in the municipalities answered questions regarding mapping and\ncollaboration with external stakeholders:\n1. Domestic violence, the social service in the municipalities answered questions regarding mapping and collaboration with external stakeholders:\n2. The social service for children and youth have through agreements cooperated in individual cases together with preschool and schools\n(has followed up a written agreement adopted at management level and established on 1 November 2012 - 1 November 2013).",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0]
[18,"A, C, D, E","Education - Competences and skills: Level of educational attainment","Proportion of population aged 25-64 by completed educational level [ISCED class lower (0-2), upper (3-4), tertiary (5-6)], by sex",12,1,0,0,0,0,0,3,0,0,0,0,1,1,1,0,0,0,0,0,1,0,1,1,0,0,1,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0]
[18,"A, E","Opportunities for education: Participation in early childhood education","Enrolment rate in ISCED 0-1 for 4 years old pupils",3,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0]
[18,"A","Low wage earners as a proportion of all employees (excluding apprentices)","Disaggregated by age, sex, and educational attainment. ",1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[18,"A","Work-related health risks, self-reported","a) Percentage of employees by sex, by age group (<30 y, 30-49, 50+), by skill level (ISCO 1+2, 3-5, 6-7, 8-10) who think that their health or safety is i) at risk because of their work, ii) negatively affected by their work. \nb) Percentage of employees by age group (<30 y, 30-49, 50+) and by by skill level (ISCO 1+2, 3-5, 6-7, 8-10) receiving regular support from manager and colleagues.",2,1,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[18,"A","Number of sick leave cases per 100 000 workers","Number of sick leave cases per 100 000 workers",1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[18,"A","Average length of 1 episode sick leave in days","Average length of 1 episode sick leave in days",2,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[18,"A","Work-life balance","average number of usual hours of work per week in main job or percentage of employees working more than the ILO/OECD threshold level of 49 hours, employees working unsocial hours, and satisfaction with commuting time",1,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[18,"A","Temporary contracts ","Share of temporary contracts and transitions from temporary to permanent. Employees with a contract of limited duration (annual average) % of total number of employees  disaggregated by age-group. ",2,0,0,0,0,0,0,1,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[18,"A","Assessment of quality of employment","Measures on average job satisfaction and assessment of quality of employment is under development and will cover: satisfaction with current work (under development in SILC 2013, currently from the European quality of life survey – EQLS), how possible it is to influence the content and order of tasks (under development in LFS 2015), and assessment of the relationships with colleagues and supervisors. ",1,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[18,"A","Share of jobs at risk of automatisation (%)","nA",1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[18,"A","Expected impact of technology (thousands of jobs gained/lost) by 2020","nA",1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[18,"A","Social interactions: activities with people","Activities with people (including feeling lonely) are measured in terms of the frequency of contacting, meeting socially/getting together with friends, relatives or colleagues (SILC 2006 Ad Hoc Module) and satisfaction with personal relationships (collected in SILC 2013, will be available in 2015). ",1,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[18,"A","Social interactions: activities for people","Activities for people concern involvement in voluntary and charitable activities, excluding paid work (SILC 2006 Ad Hoc Module, which will be repeated in 2015). ",1,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[18,"A, C, D, E","Social interactions: Supportive relationships","Proportion of individuals by age group (15+, 15-64, 65+) and by educational level (ISCED class 0-2, 3-4, 5-6) reporting that they have none or 1 person that they can count on if they have serious personal problems and the ability to discuss personal matters (collected in SILC 2013, will be available in 2015). ",5,1,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[18,"A, C","Overall experience of life: Life satisfaction","Disaggregated by sex, age, income quintile. \nSubjective well-being encompasses three distinct but complementary sub-dimensions: life satisfaction, based on an overall cognitive assessment; affects, or the presence of positive feelings and absence of negative feelings; and eudaimonics, the feeling that one’s life has a meaning.\nLife satisfaction represents how a person evaluates or appraises his or her life taken as a whole. It is intended to cover a broad, reflective appraisal the person makes of his or her life. The term «life» is intended here as all areas of a person’s existence. The variable therefore refers to the respondent’s opinion/feeling about the degree of satisfaction with his/her life. It focuses on how people are feeling \"these days\" rather than specifying a longer or shorter time period. The intent is not to obtain the current emotional state of the respondent but to receive a reflective judgement on their level of satisfaction.\nSatisfaction with particular life domains (financial situation, housing, job, commuting time, living environment, green and recreational areas, time use and personal relationships) also represent a broad subjective assessment of the respetive area taking into account individual situations and preferences.\n\"Meaning of life\" represents the eudaimonic aspect of well-being, whether or not the inviduals deem their life as being worthwhile. It is not related to any specific area of life, focuses rather on life in general.\nThe frequency of positive emotions (happiness) in the last four weeks represents the affects dimension of well-being.\nTrust in others and in institutions (legal system, political system and the police) is of a general nature and it should not apply to a specific group of people or institution. The legal and political system encompass all institutions in the respective categories, whether local, national or transnational.\nThe availability of social support refers to the one's possibility to ask for help (any kind of help: moral, material or financial) from any relatives, friends or neighbours, whether thethe person needs it or not. Only relatives and friends (or neighbours) who don't live in the same household are considered.\n",2,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[18,"A","Overall experience of life: Affects, meaning and purpose of life","Disaggregated by sex, age, income quintile. \nAfects, or the presence of positive feelings and absence of negative feelings; and eudaimonics, the feeling that one’s life has a meaning, as recommended by the OECD Guidelines on Measuring Subjective Well-being\n",1,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[19,"A, B, C, D","Total population","Population on 1 January , total (absolute numbers) by sex, age group, by area (rural, urban), share of immigrant population",4,2,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,3,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[19,"A","Birth rate, crude","Live births per 1000 population",1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[19,"A","Distribution of gestational age by vital status, plurality","Number of live births and fetal deaths at each completed week of gestation (starting from 22 weeks) expressed as a proportion of all live and stillbirths for singletons and multiples.\nGestational age is defined as the best obstetrical estimate.\nThis distribution is presented, as follows:\n22-36 weeks of gestation (preterm births)\n37-41 weeks (term births)\n41+ weeks (post-term births)\nPreterm births can also be presented as:\n22-27 weeks (extremely preterm)\n28-31 weeks (very preterm)\n32-36 weeks (moderately preterm)",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0]
[19,"A","Multiple birth rate by number of fetuses","The number of women in a multiple gestation pregnancy at delivery as a proportion of all women delivering live or stillborn babies by number of fetuses",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0]
[19,"A","Distribution of parity ","Distribution of parity (number of previous live or stillbirths) of women delivering a live or stillbirth.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0]
[19,"A, C","Total fertility rate","The mean number of children that would be born alive to a woman during her lifetime if she were to pass through her childbearing years conforming to the fertility rates by age of a given year.",2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[19,"A, D","Distribution of maternal age","Distribution of age in years at delivery for women delivering a live or stillbirth. \nRecommended presentation, as follows: <15,15-17, 18-19,20-24,25-29,30-34,35-39,40-44,45-49,50+",3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0]
[19,"A, B, C","GDP per capita","GDP per capita in PPS per inhabitant.",7,0,0,0,0,0,0,0,0,2,0,3,1,1,1,0,0,1,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[19,"A","Employment rate","Proportion of population aged 25-64 whose current or last main occupation is/was  (by ESeC class: 1-2, 3/6, 4-5, 8-9, 7) by sex. ",6,1,0,0,1,0,0,1,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0]
[19,"A, C, D, E","Unemployment rate","Unemployment rate, % of labour force, annual average, total population (15-74 years), by sex",7,1,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,1,1,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[19,"A","Population living in very low intensity (quasijobless) households","People aged 0-59, living in households, where working-age adults (18-59) work less than 20% of their total work potential during the past year.",3,0,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[19,"A","Mean and median income","Disaggregated by age and sex. \nDisposable net income is the total gross disposable income (i.e. all income from work, private income from investment and property, transfers between households and all social transfers received in cash including old-age pensions) minus social security contributions and income taxes payable by employees (see the metadata here). ",2,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[19,"A, D, E","At risk of poverty or social exclusion rate","The sum of persons who are: \na) at-risk-of- poverty (cut-off point: 60% of mean equivalised income) or \nb) severely materially deprived (population living in households lacking at least 4 items out of the following 9 items: i) to pay rent or utility bills, ii) keep home adequately warm, iii) face unexpected expenses, iv) eat meat, fish or a protein equivalent every second day, v) a week holiday away from home, or could not afford (even if wanted to) vi) a car, vii) a washing machine, viii) a colour TV, or ix) a telephone) or \nc) living in households with very low work intensity (work less than 20% of their total work potential) as a share of the total population.",10,1,0,0,0,0,0,4,0,2,3,0,1,0,0,5,0,0,0,0,0,0,1,2,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0]
[19,"A, E","GINI coefficient (income distribution)","Gini index measures the extent to which the distribution of income (or, in some cases, consumption expenditure) among individuals or households within an economy deviates from a perfectly equal distribution. A Lorenz curve plots the cumulative percentages of total income received against the cumulative number of recipients, starting with the poorest individual or household. The Gini index measures the area between the Lorenz curve and a hypothetical line of absolute equality, expressed as a percentage of the maximum area under the line. Thus a Gini index of 0 represents perfect equality, while an index of 100 implies perfect inequality.",4,0,0,0,0,0,0,0,0,3,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[19,"A","Spending on social protection as % of GDP","Structure of social protection expenditure old age and survivors, sickness/health care, family/children, disability, unemployment, administration costs, housing, social exclusion, other expenditure as % of GDP",2,0,0,0,0,0,0,0,0,4,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[19,"A","Trust in, and satisfaction with, institutions and public services","trust in, and satisfaction with, institutions (under development in SILC 2013) and public services (to be developed)",1,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[19,"A, E","Social interactions: Social cohesion","Social cohesion (covering interpersonal trust, perceived tensions and inequalities) will be measured using an indicator for trust in others (collected in SILC 2013, will be available in 2015). ",3,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0]
[20,"C","National and/or subnational policy addressing the reduction of health inequities established and documented","Existence of policies and strategies to address health inequalities and social determinants of health: \nA specific aim of the indicator is to capture whether health inequities and social determinants of health are addressed in one form or another, in accordance with the strategic goals of Health 2020. Replies options: i) Yes, stand-alone, ii) Yes, included elsewhere, iii) No. \nElements in national policies to address health inequities and social determinants of health: Since there are multiple approaches or measures to address health inequities or social determinants of health, another aspect in the assessment included the various elements existing in the national health policies and strategies to deal with them, i.e. Healthy workplace, Healthy start in life, Poverty, Environment, Disadvantaged groups, Universal health coverage, Human rights, Others. ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[20,"C","Establishment of process for target-setting documented (mode of documenting to be decided by individual Member States)","Existence of national or subnational processes of target - setting for health and well-being.\nAn aim of the Health 2020 regional monitoring is to determine how countries have progressed towards establishing national goals, targets and specific indicators to monitor their advance in achieving the Health 2020 vision. Response options to this questions are: i) Targets defined, ii) Indicators defined, iii) Not but planned for the future, iv) Not and not planned for the future. ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[20,"C","Evidence documenting: (a) establishment of national policies aligned with Health 2020; (b) implementation plan; (c) accountability mechanism (mode of ‘documentation’ to be decided by individual Member States)","As Member States in the WHO European Region develop policies and strategies to improve health and well-being, it is important to know whether these national policies are aligned with the Health 2020 vision. The alignment means having a comprehensive national health policy or another strategy, including improving universal health coverage, reducing the major causes of the burden of disease, addressing major health determinants of health and well-being and strengthening health systems.",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]

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["ID_2nd wave","Decision 2nd wave (i=include, iC=included consolidated; e0=exclude 0 points headline, e1=exclude 1 point headline, e2=exclude 2 points headline, e-diss=excluded after discussion/consolidated)","Indicator reference code","OECD Health at a Glance Category \n(1 Access to care\n2 Health care resources: Labour\n3 Health care resources: Capital\n4 Health care activities\n5 Health expenditure and financing\n6 QUALITY OF CARE: Effectiveness - Primary/secondary prevention\n7 QUALITY OF CARE: Effectiveness - Getting better\n8 QUALITY OF CARE: Effectiveness - Living with illness or disability/chronic care\n9 QUALITY OF CARE: Effectiveness - Coping with end-of-life\n10 QUALITY OF CARE: Safety\n11 QUALITY OF CARE: Patient-centeredness/Responsiveness\n12 QUALITY OF CARE: Others\n13 Pharmaceutical sector\n14 Ageing and lon-term care \n15 Health status: Mortality\n16 Health status: Morbidity & Well-being\n17 Determinants of health: Health behaviour / life course\n18 Determinants of health: Environment / socio-economic condictions\n19 Additional information on demographic and economic context\n20 Others)","Selection (s=selected, c=consolidated,r=for revision; ms=Member State specific - exclude; e=excluded as too broad and not meaningful; nr=not relevant; u=definition not clear; x= excluded after brushing/shortening as not relevant; 999=just heading)","Indicator name","Explanatory info for survey","Short Reference (initiative/project source) [consolidated = newly created/summarized]","All references grouped\n(A=EC, B=OECD, C=WHO, D=other initiatives, E=Member States, 999=just a thematic heading)","Anzahl initiatives per selected indicator (total)","Full reference","1_ECHI","2_ECHO","3_Eckfeldt et al. 2014 (DG-ECFIN)","4_ESIF for Health 2015","5_EU Semester thematic fiche Health 2015 (DG-ECFIN)","6_EuroHope","7_Eurostat - Quality of Life","8_Eurostat - SDI","10_European Pillar of Social Rights","11_EU Youth Health 2015 (DG EAC)","12_EXPH 2014","13_JAF Health (DG EMPL)","14_EC-MACELI 2014","15_Medeiros & Schwierz 2015 (DG-ECFIN)","16_SPC - SPPM (DG EMPL)","17_Smith et al. (2016)","18_Health at a Glance 2015","19_Joumard et al. 2010","20_How's life? 2015","22_WHO Health 2020","24_WHO Core Health 2015","25_AIHW. (2014)","26_CIHI In Depth (2014)","27_CWF State Scorecard & CWF Int. Comparison (2014)","28_EHCI 2015","29_IOM 2015","30_MoH New Zealand 2016","31_Belgium - Vrijens et al. (2015)","32_Estonia HSPA (2010)","33_Hungary HSPA (2014)","34_Italy - PNE (2014)","35_Malta - Grech et al. (2015)","36_Netherlands - van den Berg et al. (2015)","37_Portugal HSPA (2010)","38_Sweden - Socialstyrelsen. (2013)","39_Sweden - Socialstyrelsen. (2015)","40_UK - Bevan et al. (2014)","41_UK - NHS (2016)","42_UK - Berry (2015)","43_Ireland - NHQSR (2015)","44_Europeristat","45_EuroSafe","46_Hofmarcher et al. 2007 (OECD)","Definition/Label","Calculation","Rationale","Unit","Data source of indicator","Decomposition/Disaggregation\n(e.g. income group (higher, lower, average), age, gender, level of education, ethnicity/race, etc.)","Link to source","Link to Metadata","Link to documentation sheet"]
[null,null,null,1,999,"ACCESS TO CARE",null,"Consolidated",999]
[1,"i",null,1,"s","Share of population covered by health insurance","Percentage of population covered by i) Government/ social health insurance, ii) private health insurance.","Consolidated","A, B, D, E",{"$f":"COUNTIF(L3:BB3,\">0\")","v":10},"Consolidated",{"$f":"COUNTIF(L4:L17,1)","v":1},0,0,0,0,0,0,0,0,0,2,1,0,0,0,0,3,0,0,0,0,0,0,2,0,0,0,1,1,0,0,1,1,1,0,0,0,0,0,0,0,0,0]
[1,"i",76,1,"c","Insurance coverage","Percentage of population covered by i) Government/ social health insurance, ii) private health insurance.","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"The proportion of the population covered by health insurance, taking into account both public and private insurance schemes.",null,"Indicator describing (equal) access to services. Indicator for social inequalities in health care system.","Public (government/social) health insurance coverage is the share of the population (%) eligible for a defined set of health care goods and services that are included in total public health expenditure. Private health insurance coverage is the share of the population (%) based on a head count of individuals covered by at least one private health insurance policy (including both individuals covered in their own name and dependants).",null,"• Calendar year\n• Country\n• Sex (see data availability)","http://www.oecd-ilibrary.org/social-issues-migration-health/data/oecd-health-statistics/oecd-health-data-social-protection_data-00544-en\n","http://stats.oecd.org/OECDStat_Metadata/ShowMetadata.ashx?Dataset=HEALTH_PROT&ShowOnWeb=true&Lang=en"]
[1,"i","nA",1,"c","government/social insurance coverage ",null,"EXPH 2014","A",null,"EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Percentage of population covered (entitled to whole benefits package, public funded)"]
[1,"i","nA",1,"c","Benefits package","description  of  the  benefits  included  in  the  public  services (accessible to the majority of the population)\nMMH suggestion: e.g. total public benefit in % of total CHE (SHA table 4; ","EXPH 2014","A",null,"EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"description  of  the  benefits  included  in  the  public  services (accessible to the majority of the population): prevention, promotion, treatment, rehabilitation, palliative services. Primary health care, hospital care, emergency services, ambulances, pharmaceuticals, etc… Or, perhaps easier: Services explicitly excluded."]
[1,"i","A-3",1,"c","Share of population covered by health insurance",null,"JAF Health (DG EMPL)","A",null,"EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"The percentage of the population covered by public health  insurance (which is defined as tax-based public health insurance and income-related payroll taxes including social security contribution schemes) + the percentage of the population covered by private health insurance including: Private mandatory health insurance, Private employment group health insurance, Private community-rated health insurance, and Private risk-rated health insurance."]
[1,"i",null,1,"c","Health insurance coverage for a core set of services",null,"Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Coverage for health care is defined here as the share of the population receiving a core set of health care goods and services under public programmes and through private health insurance. It includes those covered in their own name and their dependents. Public coverage refers both to government programmes, generally financed by taxation, and social health insurance, generally financed by payroll taxes. Take- up of private health insurance is often voluntary, although it may be mandatory by law or compulsory for employees as part of their working conditions. Premiums are generally non-income-related, although the purchase of private coverage can be subsidised by government."]
[1,"i",null,1,"c","Private health insurance coverage, by type","primary, supplementary, complementary, duplicate","Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[1,"i",null,1,"c","Evolution in private health insurance coverage","Percentage of total population","Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[1,"i",1,1,"c","Percent of adults ages 19-64 uninsured",null,"CWF State Scorecard","D",null,"D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,null,null,null,"American Community Survey (ACS) Public Use Micro Sample (PUMS)(U.S. Census Bureau, ACS PUMS, 2013, 2014).","","","",""]
[1,"i",2,1,"c","Percent of children ages 0-18 uninsured",null,"CWF State Scorecard","D",null,"D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,null,null,null,"American Community Survey (ACS) Public Use Micro Sample (PUMS)(U.S. Census Bureau, ACS PUMS, 2013, 2014)."]
[1,"i","A-1",1,"c","Health insurance status of the population (% of population)",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[1,"i",null,1,"c","Total population health service coverage",null,"Estonia HSPA (2010)","E",null,"WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,null,"Fair financing, financial protection and coverage: health system coverage"]
[1,"i",48,1,"c","% of population covered by public health insurance (tax-based, public health insurance and income tax, incl Social Security contribution schemes)",null,"Malta - Grech et al. (2015)","E",null,"Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,"The proportion of the population covered by health insurance, taking into account both public and private insurance schemes","Public (government/social) health insurance coverage is the share of the population (%) eligible for a defined set of health care goods and services that are included in total public health expenditure. Private health insurance coverage is the share of the population (%) based on a head count of individuals covered by at least one private health insurance policy (including both individuals covered in their own name and dependents)"]
[1,"i",45,1,"c","Percentage of people with health insurance who are six months or more in payment arrears",null,"Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,null,null,"Getting better: Non-acute curative health care - Accessibility: financial access"]
[1,"i",null,1,"c","Level of duplication of health insurance coverage","nA","Portugal HSPA (2010)","E",null,"World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,"nA",null,"Equity in finance: What is the extent of coverage under private insurance plans?"]
[2,"i",null,1,"s","Self-reported unmet need for medical care (total by reason: cost, waiting time, distance)","Disaggregated by sex, by age group (total, 18-64, 65+), by education level (ISCED 0-1, 2, 3-4, 5-6) and by income quintile.\nProportion of persons with self-declared unmet needs for medical care services due to either financial barriers, waiting times or traveling distances.","Consolidated","A, B, D, E",{"$f":"COUNTIF(L18:BB18,\">0\")","v":16},"Consolidated",{"$f":"COUNTIF(L19:L45,1)","v":1},0,0,3,1,0,1,1,0,1,1,2,0,0,1,0,2,0,0,0,0,0,0,7,1,1,0,1,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0]
[2,"i",80,1,"c","Equity of access to health care services","Proportion of persons by sex, by age group (total, 18-64, 65+), by education level (ISCED 0-1, 2, 3-4, 5-6) and by income quintile with self-declared unmet needs for health care services due to either financial barriers, waiting times or traveling distances.","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Index of self-declared unmet need for health care services. Defined as the total self-reported unmet need for medical care (medical examination or treatment) for the following three reasons: financial barriers + waiting times + too far to travel.",null,"The self-reported unmet need for medical examination or treatment is an indicator for equity of access to health care services. It gives insight into the need for medical care and the obstacles that stand in the way\nof the actual use of health care services. As such it can provide useful information on how to overcome the obstacles for use and improve health. The underlying assumption is that the self-reported unmet need\ncorresponds with the actual need for medical care.","% of people who reported that at least once in the previous 12 months they felt they needed medical care and did not receive it either because a) it was too expensive, b) they had to wait or c) it was too far away. Age standardisation: see remarks.",null,"• Calendar year\n• Country\n• Region (according to ISARE recommendations; see data availability)\n• Sex\n• Age group (18-64, 65 and over)\n• Socio-economic status (educational level. See remarks)","http://ec.europa.eu/eurostat/web/health/health-care/data/database","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_silc_01_esms.htm","http://ec.europa.eu/health/indicators/docs/echi_80.pdf"]
[2,"i","nA",1,"c","Proportion of people (all population) with self-declared unmet needs for health care services due to either financial barriers, waiting times or travelling distances",null,"ESIF for Health 2015","A",null,"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,null,"Equity of access to health care services"]
[2,"i","nA",1,"c","Proportion of people whose highest level of education is ISCED 0, 1, or 2 with self-declared unmet needs for health care services due to either financial barriers, waiting times or travelling distances",null,"ESIF for Health 2015","A",null,"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,null,"Equity of access to health care services"]
[2,"i","nA",1,"c","Proportion of people in the first quintile of equalized income (20% lowest income group) with self-declared unmet needs for health care services due to either financial barriers, waiting times or travelling distances",null,"ESIF for Health 2015","A",null,"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,null,"Equity of access to health care services"]
[2,"i","nA",1,"c","Self-reported unmet needs for medical examination because of cost, waiting time, and travelling distance",null,"EU Semester thematic fiche Health 2015 (DG-ECFIN)","A",null,"EC, Europe 2020 (2015) European Semester Thematic Fiche: Health and Health Systems, from http://ec.europa.eu/europe2020/pdf/themes/2015/health-and-health-systems.pdf",0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[2,"i",null,1,"c","Self-reported unmet needs for medical examination",null,"Eurostat - Quality of Life","A",null,"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,null,"Health - Access to health care",null,"http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_silc_14&lang=en"]
[2,"i","nA",1,"c","Self-reported unmet needs for medical care due to being too expensive, by income quintile",null,"Eurostat - SDI","A",null,"Eurostat (2015) Sustainable development indicators, from http://ec.europa.eu/eurostat/web/sdi/indicators ",0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"the share of the population reporting that at least once in the previous 12 months they could not afford medical examination or treatment.",null,null,null,null,"Health and health inequalities",null,"http://ec.europa.eu/eurostat/cache/metadata/DE/tsdph270_esmsip.htm"]
[2,"i",null,1,"c","Self-reported unmet need for medical care for young people (18-24)",null,"EU Youth Health 2015 (DG EAC)","A",null,"European Commission (2011). Commission Staff Working Document on EU indicators in the field of youth. SEC(2011) 401 final.  Retrieved from http://ec.europa.eu/youth/library/publications/indicator-dashboard_en.pdf\nEuropean Commission (2015). Youth monitor - European Commission.   Retrieved from http://ec.europa.eu/youth/dashboard/index_en.htm",0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Self-reporting unmet need for medical care for the following 3 reasons: financial barriers + too far to travel + waiting times.",null,"Social inclusion",null,"Eurostat (EU-SILC)"]
[2,"i","nA",1,"c","Unmet need for treatment",null,"EXPH 2014","A",null,"EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"self-reported unmet needs for medical examination for reasons of barriers of access (too expensive, too far to travel, or waiting lists). "]
[2,"i","A-1",1,"c","Self-reported unmet need for medical care (total by reason: cost, waiting time, distance)","Proportion of persons by sex, by age group (total, 18-64, 65+), by education level (ISCED 0-1, 2, 3-4, 5-6) and by income quintile with self-declared unmet needs for medical care services due to either financial barriers, waiting times or traveling distances.","JAF Health (DG EMPL)","A",null,"EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Total self-reported unmet need for medical examination for the following three reasons: financial barriers, waiting times, too far to travel."]
[2,"i","A-2",1,"c","Self-reported unmet need for medical care - income quintile gap (q1/q5 by reason: cost, waiting time, distance)",null,"JAF Health (DG EMPL)","A",null,"EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Ratio of the people from the top and bottom income quintile which self-reported total unmet need for medical examination for the following three reasons: financial barriers, waiting times, too far to travel."]
[2,"i",null,1,"c","Self-reported unmet need for medical care",null,"SPC - SPPM (DG EMPL)","A",null,"EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,null,null,null,"Eurostat (EU-SILC)"]
[2,"i",null,1,"c","Unmet care needs for medical examination by income level",null,"Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Unmet medical or dental care needs may be for financial reasons, waiting times or long distance to travel to get access to services.\nData on unmet care needs come from two main sources. First, the European Union Statistics on Income and Living Conditions survey (EU-SILC) ask survey respondents whether there was a time in the previous 12 months when they felt they needed a medical or dental examination but did not receive it, followed by a question as to why the need for care was unmet (with the reasons including that care was too expensive, the waiting time was too long, the travel- ling distance to receive care was too far, a lack of time, or that they wanted to wait and see if problem got better on its own). The data presented in Figures 7.4 and 7.5 cover unmet care needs due to cost, waiting time and travelling distance.\nThe second source is the 2013 Commonwealth Fund International Health Policy Survey which asks whether people did not visit a doctor when they had a medical problem, skipped a medical test, treatment, or follow-up that was recommended by a doctor, or did not fill prescription for medicines or skipped doses because of cost in the past year. This survey was carried out in eleven countries. Similar questions were also asked in the national survey in the Czech Republic a few years earlier (2010).\n"]
[2,"i",null,1,"c","Unmet care needs due to cost",null,"Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[2,"i",3,1,"c","Percent of adults who went without care because of cost in the past year",null,"CWF State Scorecard","D",null,"D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,null,null,null,"2013 and 2014 Behavioral Risk Factor Surveillance System (NCCDPHP, BRFSS 2013, 2014)."]
[2,"i",null,1,"c","Did not fill a prescription; skipped recommended medical test, treatment, or follow-up; or had a medical problem but did not visit doctor or clinic in the past year because of cost",null,"CWF Int. Comparison (2014)","D",null,"K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[2,"i",null,1,"c","Had medical problem but did not visit doctor because of cost in the past year (by two income categories)",null,"CWF Int. Comparison (2014)","D",null,"K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"by two income categories: those who reported their incomes as above the country median and those who reported their incomes as below the country median. "]
[2,"i",null,1,"c","Did not get recommended test, treatment, or follow-up because of cost in the past year (by two income categories)",null,"CWF Int. Comparison (2014)","D",null,"K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"by two income categories: those who reported their incomes as above the country median and those who reported their incomes as below the country median. "]
[2,"i",null,1,"c","Did not fill prescription or skipped doses because of cost in the past year (by two income categories)",null,"CWF Int. Comparison (2014)","D",null,"K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"by two income categories: those who reported their incomes as above the country median and those who reported their incomes as below the country median. "]
[2,"i",null,1,"c","Doctors report time spent getting patients needed medications or treatment because of coverage restrictions is a major problem",null,"CWF Int. Comparison (2014)","D",null,"K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,null,"Efficiency"]
[2,"i",null,1,"c","Has chronic condition and did not receive recommended test, treatment, or follow-up care because of cost",null,"CWF Int. Comparison (2014)","D",null,"K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,null,"Effective Care: Chronic Care","percent"]
[2,"i","4.4.",1,"c","Dental care included in public healthcare? % of average income earners stating unmet need for a dental examination, 2010",null,"EHCI 2015","D",null,"Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"% of average income earners stating unmet need for a dental examination, 2010",null,null,null,"OECD Health at a Glance 2015, Eurostat: http://dx.doi.org/10.1787/888933281066"]
[2,"i","nA",1,"c","Care access: Unmet care need",null,"IOM 2015","D",null,"IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[2,"i","A-4",1,"c","Self-reported delayed contacts with health services for financial reasons (% of households) (by income level)",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[2,"i",47,1,"c","Unmet need (SILC) - income inequalities",null,"Malta - Grech et al. (2015)","E",null,"Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,"The variables refer to the respondent's own assessment of whether he or she needed the respective type of examination or treatment, but did not have it and if so what was the main reason of not having it","The variables on unmet needs for health care targets two broad types of services: medical care and dental care. Eurostat currently disseminates the following indicators for unmet needs:  Self-reported unmet needs for medical examination for reasons of barriers of access  Self-reported unmet needs for medical examination by reason  Self-reported unmet needs for dental examination by reason All indicators are expressed as percentages within (or share of) the population and breakdowns are given by: sex, age, labour status, educational attainment level, and income quintile group. "]
[2,"i",46,1,"c","Percentage of people who forego care due to costs",null,"Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,null,null,"Getting better: Non-acute curative health care - Accessibility: financial access"]
[2,"i",19,1,"c","Access to Health Care",null,"Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Percentage of the general population reporting that they have access to the health care they need.\nThe indicator measures perceptions among members of the general population about their access to health care, regardless of whether they had recent contact with the system or not.","Numerator: Number of selected members of the general population that agreed wholly or in part with the statement that they had access to the health care they needed.\nDenominator: All interviewees in the sample of the general population for the year.",null,null,"Healthcare Survey: the purpose is to measure the attitudes, experience, knowledge and expectations of the adult population when it comes to the healthcare system. The rolling survey has been conducted once a year in every county and region since 2001."]
[3,"e2",5,1,"s","At-risk adults without a routine doctor visit in past two years","Percent of adults age 50 or older, or in fair or poor health, or ever told they have diabetes or pre-diabetes, acute myocardial infarction, heart disease, stroke, or asthma who did not visit a doctor for a routine checkup in the past two years.","CWF State Scorecard","D",{"$f":"COUNTIF(L46:BB46,\">0\")","v":1},"D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Percent of adults age 50 or older, or in fair or poor health, or ever told they have diabetes or pre-diabetes, acute myocardial infarction, heart disease, stroke, or asthma who did not visit a doctor for a routine checkup in the past two years.",null,null,null," 2013 and 2014 Behavioral Risk Factor Surveillance System (NCCDPHP, BRFSS 2013, 2014)."]
[4,"i",null,1,"s","Self-reported unmet need for dental care (total by reason: cost, waiting time, distance)","Disaggregated by sex, by age group (total, 18-64, 65+), by education level (ISCED 0-1, 2, 3-4, 5-6) and by income quintile.\nProportion of persons with self-declared unmet needs for dental care services due to either financial barriers, waiting times or traveling distances.","Consolidated","A, B, E",{"$f":"COUNTIF(L47:BB47,\">0\")","v":4},"Consolidated",{"$f":"COUNTIF(L48:L51,1)","v":1},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0]
[4,"i","80(A)",1,"c","European health indicator on equity of access to dental care services","self-reported unmet need;  by reason (financial barriers + waiting times + too far to travel), by income quintile, by education level, ","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"the percentage of people who self-reported an unmet need for dental care (dental examination or treatment) in the previous 12 months for the following three reasons: financial barriers, waiting times and/or long distances. ",null,"The self-reported unmet need for medical examination or treatment is an indicator for equity of access to health care services. It gives insight into the need for medical care and the obstacles that stand in the way\nof the actual use of health care services. As such it can provide useful information on how to overcome the obstacles for use and improve health. The underlying assumption is that the self-reported unmet need\ncorresponds with the actual need for medical care.",null,null,null,"http://ec.europa.eu/eurostat/web/health/health-care/data/database","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_silc_01_esms.htm"]
[4,"i",null,1,"c","Unmet care needs for dental examination by income level","Proportion of persons by sex, by age group (total, 18-64, 65+), by education level (ISCED 0-1, 2, 3-4, 5-6) and by income quintile with self-declared unmet needs for dental care services due to either financial barriers, waiting times or traveling distances.","Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Unmet medical or dental care needs may be for financial reasons, waiting times or long distance to travel to get access to services."]
[4,"i",null,1,"c","Percentage of population reporting problems accessing dental care by income quintile",null,"Estonia HSPA (2010)","E",null,"WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,null,"Access to health care services: equity in utilization of health care services"]
[4,"i",null,1,"c","Unmet care needs for dental examination by income level","Proportion of persons by sex, by age group (total, 18-64, 65+), by education level (ISCED 0-1, 2, 3-4, 5-6) and by income quintile with self-declared unmet needs for dental care services due to either financial barriers, waiting times or traveling distances.","UK - Berry (2015)","E",null,"Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,"Unmet medical or dental care needs may be for financial reasons, waiting times or long distance to travel to get access to services.",null,null,null,"OECD"]
[5,"i",null,1,"s","Out-of-pocket medical spending as a share of final household consumption","Out-of-pocket payments are expenditures borne directly by a patient where neither public nor private insurance cover the full cost of the health good or service. They include cost-sharing and other expenditure paid directly by private households and should also include estimations of informal payments to health care providers. Only expenditure for medical spending (i.e. current health spending less expenditure for the health part of long-term care) is presented here, because the capacity of countries to estimate private long-term care expenditure varies widely.\nHousehold final consumption expenditure covers all purchases made by resident households to meet their everyday needs such as food, clothing, rent or health services.","Consolidated","A, B, D, E",{"$f":"COUNTIF(L52:BB52,\">0\")","v":7},"Consolidated",{"$f":"COUNTIF(L53:L60,1)","v":0},0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,1,1,0,0,0,0,1,0,0,0,0]
[5,"i","A-4",1,"c","Financial burden of out- of-pocket payment for health care",null,"JAF Health (DG EMPL)","A",null,"EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"A micro-level indicator to be defined."]
[5,"i","A-6",1,"c","Household out-of- pocket payment for health care","A macro-level indicator to  be defined. 'Household out-of-pocket payment' means a direct payment for health care goods and services from the household primary income or savings, where the payment is made by the user at the time of the purchase of goods or the use of the service.","JAF Health (DG EMPL)","A",null,"EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"A macro-level indicator to  be defined. 'Household out-of-pocket payment' means a direct payment for health care goods and services from the household primary income or savings, where the payment is made by the user at the time of the purchase of goods or the use of the service."]
[5,"i",null,1,"c","Out-of-pocket medical spending as a share of final household consumption","Out-of-pocket payments are expenditures borne directly by a patient where neither public nor private insurance cover the full cost of the health good or service. They include cost-sharing and other expenditure paid directly by private households and should also include estimations of informal payments to health care providers. Only expenditure for medical spending (i.e. current health spending less expenditure for the health part of long-term care) is presented here, because the capacity of countries to estimate private long-term care expenditure varies widely.\nHousehold final consumption expenditure covers all purchases made by resident households to meet their everyday needs such as food, clothing, rent or health services.","Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Out-of-pocket payments are expenditures borne directly by a patient where neither public nor private insurance cover the full cost of the health good or service. They include cost-sharing and other expenditure paid directly by private households and should also include estimations of informal payments to health care providers. Only expenditure for medical spending (i.e. current health spending less expenditure for the health part of long-term care) is presented here, because the capacity of countries to estimate private long-term care expenditure varies widely.\nHousehold final consumption expenditure covers all purchases made by resident households to meet their everyday needs such as food, clothing, rent or health services.",null,null,null,null,"services and goods"]
[5,"i",null,1,"c","Bulk-billing for non-referred (GP) attendances",null,"AIHW. (2014)","D",null,"AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Percentage of non-referred attendances that were bulk-billed based on Medicare Benefits Scheme (MBS) services. This includes GP, vocationally registered GP, enhanced primary care and other non-referred GP services. Presented as a percentage of total annual GP attendances per financial year."]
[5,"i",null,1,"c","Total household out-of-pocket payments and as a percentage of total household expenditure by income quintile",null,"Estonia HSPA (2010)","E",null,"WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,null,"Fair financing, financial protection and coverage: protection against the financial risk of ill health"]
[5,"i",47,1,"c","Out-of-pocket health care expenses as percentage of disposable household income",null,"Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,null,null,"Getting better: Non-acute curative health care - Accessibility: financial access"]
[5,"i",null,1,"c","Out-of-pocket payments for health care services and medicines as percent of household capacity to pay by income quintile",null,"Portugal HSPA (2010)","E",null,"World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,null,null,"Social and financial risk protection"]
[5,"i",null,1,"c","Out-of-pocket medical spending as a share of final household consumption","Out-of-pocket payments are expenditures borne directly by a patient where neither public nor private insurance cover the full cost of the health good or service. They include cost-sharing and other expenditure paid directly by private households and should also include estimations of informal payments to health care providers. Only expenditure for medical spending (i.e. current health spending less expenditure for the health part of long-term care) is presented here, because the capacity of countries to estimate private long-term care expenditure varies widely.\nHousehold final consumption expenditure covers all purchases made by resident households to meet their everyday needs such as food, clothing, rent or health services.","UK - Berry (2015)","E",null,"Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,"Out-of-pocket payments are expenditures borne directly by a patient where neither public nor private insurance cover the full cost of the health good or service. They include cost-sharing and other expenditure paid directly by private households and should also include estimations of informal payments to health care providers. Only expenditure for medical spending (i.e. current health spending less expenditure for the health part of long-term care) is presented here, because the capacity of countries to estimate private long-term care expenditure varies widely.\nHousehold final consumption expenditure covers all purchases made by resident households to meet their everyday needs such as food, clothing, rent or health services.",null,null,null,"OECD","services and goods"]
[6,"i",null,1,"s","Percentage of households experiencing high levels/catastrophic of out-of-pocket health expenditures ","nA (Percentage of households experiencing high levels of/ catastrophic out-of-pocket health expenditures using different thresholds by age and income quintiles). ","Consolidated","D, E",{"$f":"COUNTIF(L61:BB61,\">0\")","v":4},"Consolidated",{"$f":"COUNTIF(L62:L73,1)","v":0},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,2,0,0,1,4,0,0,0,0,0,0,0,0,0,0,0,0,0]
[6,"i",null,1,"c","Out-of-pocket expenses for medical bills more than $1,000 in the past year, US$ equivalent",null,"CWF Int. Comparison (2014)","D",null,"K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[6,"i",4,1,"c","Percent of individuals under age 65 with high out-of-pocket medical spending relative to their annual income","Out-of-pocket medical expenses equaled 10 percent or more of income, or five percent or more of income\nif low-income (under 200% of Federal Poverty Level), not including health insurance premiums.","CWF State Scorecard","D",null,"D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Out-of-pocket medical expenses equaled 10 percent or more of income, or five percent or more of income\nif low-income (under 200% of Federal Poverty Level), not including health insurance premiums.",null,null,null,"C. Solis-Roman, Robert F. Wagner School of Public Service, New York University, analysis of 2014 and 2015 Current Population Survey, Annual Social and Economic Supplement (U.S. Census Bureau, CPS\nASES 2014, 2015)."]
[6,"i",null,1,"c","Patient had serious problems paying or was unable to pay medical bills",null,"CWF Int. Comparison (2014)","D",null,"K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[6,"i",null,1,"c","Physicians think their patients often have difficulty paying for medications or out-of-pocket costs",null,"CWF Int. Comparison (2014)","D",null,"K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[6,"i",null,1,"e/ms","Patient's insurance denied payment for medical care or did not pay as much as expected",null,"CWF Int. Comparison (2014)","D",null,"K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[6,"i","nA",1,"c","Personal spending burden: Health care-related bankruptcies","captures the downstream effect of spending that exceeds individuals’ ability to pay","IOM 2015","D",null,"IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"This measure, which captures the downstream effect of spending that exceeds individuals’ ability to pay, may provide additional information for certain stakeholder groups"]
[6,"i","nA",1,"c","Personal spending burden: High spending relative to income","household income devoted to out-of-pocket health care spending","IOM 2015","D",null,"IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Income devoted to health care"]
[6,"i",null,1,"c","Proportion of households impoverished due to out-of-pocket payments",null,"Estonia HSPA (2010)","E",null,"WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"check definition",null,"Fair financing, financial protection and coverage: protection against the financial risk of ill health"]
[6,"i",null,1,"c","Percentage of households in Hungary experiencing high levels of out-of-pocket health expenditures using different thresholds",null,"Hungary HSPA (2014)","E",null,"Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0]
[6,"i",null,1,"c","Percentage of households in Hungary experiencing catastrophic health expenditure or impoverishing health expenditure",null,"Hungary HSPA (2014)","E",null,"Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,null,null,null,null,"Hungarian Central Statistical Office (HCSO) Household Budget Survey data"]
[6,"i",null,1,"c","Percentage of households in Hungary experiencing catastrophic health expenditure or impoverishing health expenditure: comparison of the standard WHO methodology and the extended basket of essential goods approach",null,"Hungary HSPA (2014)","E",null,"Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0]
[6,"i",null,1,"c","Distribution of catastrophic expenditures according to income quintiles",null,"Hungary HSPA (2014)","E",null,"Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"a summary indicator of equity in financing widely used in international literature",null,"Unfortunately, there has\nbeen no monitoring of this aspect of equity over the years, except for\none study on private expenditure, which found it similarly regressive\nin 2007 (-0.2726) as in 1999 (Csaba, 2007)."]
[7,"e1",null,1,"s","Shares of out-of-pocket medical spending by services and goods","Services and goods include curative care, Dental care, Pharmaceuticals, Therapeutic appliances and Other","Health at a Glance 2015","B",{"$f":"COUNTIF(L74:BB74,\">0\")","v":1},"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Out-of-pocket payments are expenditures borne directly by a patient where neither public nor private insurance cover the full cost of the health good or service. They include cost-sharing and other expenditure paid directly by private households and should also include estimations of informal payments to health care providers. Only expenditure for medical spending (i.e. current health spending less expenditure for the health part of long-term care) is presented here, because the capacity of countries to estimate private long-term care expenditure varies widely.\nHousehold final consumption expenditure covers all purchases made by resident households to meet their everyday needs such as food, clothing, rent or health services.",null,null,null,null,"services and goods"]
[8,"i",null,1,"s","Private household out-of-pocket expenditure as a proportion of total health expenditure","Out of pocket expenditure is any direct outlay by households, including gratuities and in-kind payments, to health practitioners and suppliers of pharmaceutical, therapeutic appliances and other goods and service whose primary intent is to contribute to the restoration or enhancement of the health status of individuals or population groups. It is a part of private expenditure’.","Consolidated","C, E",{"$f":"COUNTIF(L75:BB75,\">0\")","v":6},"Consolidated",{"$f":"COUNTIF(L76:L81,1)","v":0},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,1,1,0,1,0,1,0,0,0,0,0,0,0,0,0]
[8,"i",16,1,"c","Private household out-of-pocket expenditure as a proportion of total health expenditure","The level of out-of-pocket expenditure is expressed as a percentage of private expenditure on health.\nPrivate households’ out-of-pocket payments on health are the direct outlays of households, including gratuities and payments in kind made to health practitioners and suppliers of pharmaceuticals, therapeutic appliances and other goods and services, whose primary intent is to contribute to the restoration or enhancement of the health status of individuals or population groups. They also include household payments to public services, non-profit institutions or nongovernmental organizations, non-reimbursable cost sharing, deductibles, co-payments and fees for service. They exclude payments made by enterprises that deliver medical and paramedical benefits, mandated by law or not, to their employees and payments for overseas treatment.","WHO Health 2020","C",null,"WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"The level of out-of-pocket expenditure is expressed as a percentage of private expenditure on health.\nPrivate households’ out-of-pocket payments on health are the direct outlays of households, including gratuities and payments in kind made to health practitioners and suppliers of pharmaceuticals, therapeutic appliances and other goods and services, whose primary intent is to contribute to the restoration or enhancement of the health status of individuals or population groups. They also include household payments to public services, non-profit institutions or nongovernmental organizations, non-reimbursable cost sharing, deductibles, co-payments and fees for service. They exclude payments made by enterprises that deliver medical and paramedical benefits, mandated by law or not, to their employees and payments for overseas treatment.",null,"This is a core indicator of health financing systems. It contributes to the understanding of the relative weight of direct payments by households in total health expenditure. High out-of-pocket payments are strongly associated with catastrophic and impoverishing spending, so this indicator represents a key support for equity and planning processes.",null,null,"nA"]
[8,"i","A-2",1,"c","Out-of-pocket payments (% of total health expenditures)",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[8,"i",null,1,"c","Out-of-pocket and other private expenditure on health as a percentage of total health expenditure",null,"Estonia HSPA (2010)","E",null,"WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,null,"Fair financing, financial protection and coverage: health system expenditures"]
[8,"i",null,1,"c","Out-of-pocket expenditure on health as a percent of total health expenditure",null,"Hungary HSPA (2014)","E",null,"Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,null,null,null,null,"WHO"]
[8,"i",49,1,"c","Out of pocket health expenditure as % of Total Health Expenditure/private Health Expenditure",null,"Malta - Grech et al. (2015)","E",null,"Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,"Out of pocket expenditure is any direct outlay by households, including gratuities and in-kind payments, to health practitioners and suppliers of pharmaceutical, therapeutic appliances and other goods and service whose primary intent is to contribute to the restoration or enhancement of the health status of individuals or population groups. It is a part of private expenditure’."]
[8,"i",null,1,"c","Out-of-pocket payments as percent of total health care spending",null,"Portugal HSPA (2010)","E",null,"World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,null,null,"Equity in finance"]
[9,"i",null,1,"s","Out-of-pocket payments as percentage of GDP, per capita","Out of pocket expenditure is any direct outlay by households, including gratuities and in-kind payments, to health practitioners and suppliers of pharmaceutical, therapeutic appliances and other goods and service whose primary intent is to contribute to the restoration or enhancement of the health status of individuals or population groups. It is a part of private expenditure’, expressed in following units: i) as percentage of GDP, ii) in PPS per capita. ","Consolidated","E",{"$f":"COUNTIF(L82:BB82,\">0\")","v":2},"Consolidated",{"$f":"COUNTIF(L83:L84,1)","v":0},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[9,"i","A-3",1,"c","Out-of-pocket payments (in US $ PPP/capita)",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[9,"i",null,1,"c","Out-of-pocket payments as percentage of GDP, per capita",null,"Estonia HSPA (2010)","E",null,"WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,null,"Fair financing, financial protection and coverage: health system expenditures"]
[10,"e1","15.1.",1,"s","Household final consumption expenditure per capita","Household final consumption expenditure is the market value of all goods and services, including durable products (such as cars, washing  machines  and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellings. It also includes payments and fees to governments to obtain permits and licenses. Here, household consumption expenditure includes expenditure by non-profit institutions serving households (NPISH), even when reported separately by the country. Data are in constant 2005 US dollars.\nOECD: Household spending is the amount of final consumption expenditure made by resident households to meet their everyday needs, such as: food, clothing, housing (rent), energy, transport, durable goods (notably, cars), health costs, leisure, and miscellaneous services. It is typically around 60% of gross domestic product (GDP) and is therefore an essential variable for economic analysis of demand. Household spending, including government transfers, is the actual individual consumption that it is equal to households' consumption expenditure plus those (individual) expenditures of general government and non-profit institutions serving households (NPISHs) that directly benefit households, such as, health care and education.  (https://data.oecd.org/hha/household-spending.htm#indicator-chart)","WHO Health 2020","C",{"$f":"COUNTIF(L85:BB85,\">0\")","v":1},"WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Household final consumption expenditure is the market value of all goods and services, including durable products (such as cars, washing  machines  and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellings. It also includes payments and fees to governments to obtain permits and licenses. Here, household consumption expenditure includes expenditure by non-profit institutions serving households (NPISH), even when reported separately by the country. Data are in constant 2005 US dollars.",null,"An economy’s growth is measured by the change in the volume of its output or in the real incomes of its residents. The 2008 United Nations System of National Accountso offers three plausible indicators for calculating growth: the volume of gross domestic product (GDP), real gross domestic income and real gross national income. The volume of GDP is the sum of value added, measured at constant prices, by households, government and industries operating in the economy. GDP accounts for all domestic production, regardless of whether the income accrues to domestic or foreign institutions.",null,null,"Country"]
[11,"e1","4.5.",1,"s","Informal payments to doctors","Mean response to question: \"Would patients be expected to make unofficial payments?\"","EHCI 2015","D",{"$f":"COUNTIF(L86:BB86,\">0\")","v":1},"Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Mean response to question: \"Would patients be expected to make unofficial payments?\"",null,null,null,"Survey commissioned from Patient View by HCP 2014. National healthcare agencies."]
[12,"i",null,1,"s","Geographic distribution of doctors: Physicians density in predominantly urban and rural regions","Density per 1 000 population","Health at a Glance 2015","B",{"$f":"COUNTIF(L87:BB87,\">0\")","v":1},"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Regions are classified in two territorial levels. The higher level (Territorial Level 2) consists of large regions corresponding generally to national adminis- trative regions. These broad regions may contain a mix of urban, intermediate and rural areas. The lower level is composed of smaller regions classified as pre- dominantly urban, intermediate or rural regions, although there are variations across countries in the classification of these regions."]
[13,"i",null,1,"s","Access to acute care","Percentage of people who can REACH primary, emergency and materinity care services within 15/30 minutes","Consolidated","E",{"$f":"COUNTIF(L88:BB88,\">0\")","v":2},"Consolidated",{"$f":"COUNTIF(L89:L100,1)","v":0},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,9,0,0,0,0,0,0,0,0,0,0]
[13,"i",null,1,"c","Access to PCI for AMI patients admitted for AMI care","check definition\nDone and its further application is advised","Hungary HSPA (2014)","E",null,"Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"check definition\nDone and its further application is advised",null,"Cardiology/stroke: Access"]
[13,"i",null,1,"c","Rate of premature newborns transported to perinatal intensive centre (PIC) after over one day","Done and its further application is advised","Hungary HSPA (2014)","E",null,"Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"Done and its further application is advised",null,"Obstetrics/neonatology: Access"]
[13,"i",null,1,"c","Rate of psychiatric patients receiving antidepressant treatment","Theoretical proposal, but in practice use of indicator is not advised","Hungary HSPA (2014)","E",null,"Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"Theoretical proposal, but in practice use of indicator is not advised",null,"Psychiatry/addictology: Access"]
[13,"i",34,1,"c","Percentage of people living more than a 30-minute car journey from the nearest out-ofhours GP centre",null,"Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,null,null,"Acute care - Accessibility"]
[13,"i",35,1,"c","Percentage of people who can be reached within 30 minutes by a mobile medical team in the daytime hours",null,"Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,null,null,"Acute care - Accessibility"]
[13,"i",32,1,"c","Percentage of people living within 15 minutes’ reach of the nearest ambulance station",null,"Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,null,null,"Acute care - Accessibility"]
[13,"i",33,1,"c","Percentage of people who can be taken by ambulance to the nearest emergency department within 45 minutes",null,"Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,null,null,"Acute care - Accessibility"]
[13,"i",1,1,"c","Percentage of pregnant women that can reach the nearest midwife practice within 10 minutes",null,"Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,null,null,"Antenatal, perinatal and postpartum care - Accessibility"]
[13,"i",2,1,"c","Percentage of pregnant women that can reach a hospital maternity unit by car within 30 minutes",null,"Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,null,null,"Antenatal, perinatal and postpartum care - Accessibility"]
[13,"i",3,1,"c","Percentage of pregnant women that can be transported to a hospital maternity unit by ambulance within 45 minutes",null,"Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,null,null,"Antenatal, perinatal and postpartum care - Accessibility"]
[13,"i",48,1,"c","Percentages of people living more than a 10-minute car journey from nearest GP practice and nearest pharmacy",null,"Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,null,null,"Getting better: Non-acute curative health care - Accessibility: geographical access"]
[13,"i",49,1,"c","Percentage of people living more than a 30-minute car journey from nearest hospital",null,"Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,null,null,"Getting better: Non-acute curative health care - Accessibility: geographical access"]
[13,"i",null,1,"c999","Access to emergency services","Percentage of people who can reach/receive emergency services within 30 minutes","Consolidated",999,null,null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[13,"i",null,1,"c999","Access to maternity services","Percentage of pregnant women who can reach maternity care services within 10/30 minutes","Consolidated",999,null,null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[14,"e0",19,1,"s","Percentage of preterm births delivered in maternity units without an on-site neonatal intensive care unit","The percentage of preterm live and stillbirths less than 32 completed weeks of gestation that are born in a maternity unit without an on-site neonatal intensive care unit. The place of birth of very preterm birth should be presented by level of neonatal intensive care unit using local official or, if no official definitions exist, unofficial definitions with the units without a NICU highlighted.","Netherlands - van den Berg et al. (2015)","A, E",{"$f":"COUNTIF(L103:BB103,\">0\")","v":2},"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,null,null,"Antenatal, perinatal and postpartum care - Quality: integrated care"]
[14,"e0","R17",1,"c","Percentage of very preterm babies delivered in units without a NICU",null,"Europeristat (R) ","A",null,"Euro-Peristat. (2012). Euro-Peristat project - Better statistics for better health for pregnant women and their babies.   Retrieved from http://www.europeristat.com/",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"The percentage of preterm live and stillbirths less than 32 completed weeks of gestation that are born in a maternity unit without an on-site neonatal intensive care unit. The place of birth of very preterm birth should be presented by level of neonatal intensive care unit using local official or, if no official definitions exist, unofficial definitions with the units without a NICU highlighted."]
[15,"e0",null,1,"s","Patient mobility: non-resident people among all people being discharged from hospital","Absolute number / Percentage","Consolidated","A, D",{"$f":"COUNTIF(L105:BB105,\">0\")","v":2},"Consolidated",{"$f":"COUNTIF(L106:L107,1)","v":1},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[15,"e0",75,1,"c","Patient mobility: non-resident people among all people being discharged from hospital","Absolute number / Percentage","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Absolute number and percentage of non-resident people among all people being discharged from hospital.","Absolute number and percentage of non-resident people among all people being discharged from hospital (both day-cases and in-patients) in a country and in a given calendar year. The definition of hospitals (HP.1) follows the International Classification for Health Accounts– Providers of health care (ICHA-HP) of the System of Health Accounts. For definitions of residents, an in-patient, day-case and a hospital discharge see remarks.","Meets the increasingly important EU-health policy issue of cross-border care. Increased patient mobility raises a number of issues and concerns in MS in respect of e.g. health care availability and utilisation, health\ninfrastructure development, cost sharing and patient safety.",null,"Eurostat","Country Year\nRegion (according to ISARE recommendations)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_co_dischnr&lang=en","http://epp.eurostat.ec.europa.eu/cache/ITY_SDDS/EN/hlth_act_esms.htm","http://ec.europa.eu/health/indicators/docs/echi_75.pdf"]
[15,"e0","1.8.",1,"c","Cross-border care seeking freely allowed","Awareness of right to seek care in another EU state; at least 2 correct answers.","EHCI 2015","D",null,"Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Awareness of right to seek care in another EU state; at least 2 correct answers.",null,null,null,"Special Eurobarometer 425, May 2015, report p. 35"]
[null,null,null,1,999,"ACCESS TO CARE: Waiting times",null,"Consolidated",999]
[null,null,null,1,"c","Average hospital waiting times for inpatient, outpatient and ambulatory care",null,"Estonia HSPA (2010)","E",null,"WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,null,"Access to health care services: utilization of health care services"]
[null,null,null,1,"c","Distribution of waiting times for hospital inpatient care in large Estonian hospitals",null,"Estonia HSPA (2010)","E",null,"WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,null,"Access to health care services: utilization of health care services"]
[16,"e1",null,1,"s","Ambulance response times","Percentage of emergency ambulance callouts that arrive on the scene within the 15-minute standard","Consolidated","E",{"$f":"COUNTIF(L111:BB111,\">0\")","v":4},"Consolidated",{"$f":"COUNTIF(L112:L114,1)","v":0},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,{"$f":"COUNTIF(AN112:AN114,1)+COUNTIF(AN109:AN110,1)","v":2},{"$f":"COUNTIF(AO112:AO114,1)","v":0},0,0,1,0,1,0,1,0,0,0,0,0,0]
[16,"e1",36,1,"c","Percentage of emergency ambulance callouts that arrive on the scene within the 15-minute standard",null,"Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,null,null,"Acute care - Quality"]
[16,"e1",6,1,"c","Ambulance Response Time",null,"Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0]
[16,"e1",null,1,"c","Ambulance response times","Emergency responses within 8 minutes (category A, life-threatening), %","UK - Bevan et al. (2014)","E",null,"Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,"Emergency responses within 8 minutes (category A, life-threatening), %"]
[17,"e2",null,1,"s","Waiting times for emergency department care","Percentage of patients who were treated within national benchmarks for waiting times for each triage category in public hospital emergency departments. The national benchmarks are:\n􀁴 Resuscitation: immediate (within seconds)\n􀁴 Emergency: within 10 minutes\n􀁴 Urgent: within 30 minutes\n􀁴 Semi-urgent: within 60 minutes\n􀁴 Non-urgent: within 120 minutes.\nThis is presented as a percentage.","Consolidated","D, E",{"$f":"COUNTIF(L115:BB115,\">0\")","v":5},"Consolidated",{"$f":"COUNTIF(L116:L121,1)","v":0},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,2,1,0,0,0,{"$f":"COUNTIF(AN116:AN121,1)+COUNTIF(AN109:AN110,1)","v":2},{"$f":"COUNTIF(AO116:AO121,1)","v":0},0,0,0,0,0,0,0,0,0,0,0,0,0]
[17,"e2",null,1,"c","Waiting time for emergency department care",null,"AIHW. (2014)","D",null,"AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Percentage of patients who were treated within national benchmarks for waiting times for\neach triage category in public hospital emergency departments. The national benchmarks are:\n􀁴 Resuscitation: immediate (within seconds)\n􀁴 Emergency: within 10 minutes\n􀁴 Urgent: within 30 minutes\n􀁴 Semi-urgent: within 60 minutes\n􀁴 Non-urgent: within 120 minutes.\nThis is presented as a percentage."]
[17,"e2",null,1,"c","Emergency Department Wait Time for Physician Initial Assessment (Hours, 90th Percentile)",null,"CIHI In Depth (2014)","D",null,"CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Time is crucial to the effectiveness and outcome of patient care, especially for emergency patients. This indicator looks at the maximum length of time (in hours) that 90% of patients wait in the emergency department (ED) for a physician initial assessment.","This indicator examines the time interval between the earlier of triage date/time or registration date/time and the date/time of physician initial assessment in the ED. It is measured in hours and represents the maximum length of time that 90% of patients stay in the ED until they are initially assessed by a physician.","Lower is better. It means that 90% of patients spent less time in the ED waiting for a physician’s initial assessment.",null,"·      Canadian Community Health Survey, Statistics Canada",null,null,"http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=5111829"]
[17,"e2",null,1,"c","Total Time Spent in Emergency Department for Admitted Patients (Hours, 90th Percentile)",null,"CIHI In Depth (2014)","D",null,"CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Time is crucial to the effectiveness and outcome of patient care, especially for emergency patients. This indicator measures the maximum total length of time that 90% of patients admitted from the emergency department (ED) spend in the ED.","This indicator measures the time interval between the earlier of triage date/time or registration date/time and the date/time when a patient is admitted and leaves the ED. It is measured in hours and represents the maximum total length of time that 90% of patients admitted from the ED stay in the ED.","Lower is better. It means that 90% of admitted patients spent less time in the ED before transferring to an inpatient unit or an operating room.",null,"·      Canadian Institute for Health Information",null,null,"http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=5111863"]
[17,"e2",null,1,"c","Waiting time for emergency care was 2 hours or more (base: used an emergency room in past 2 years)",null,"CWF Int. Comparison (2014)","D",null,"K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[17,"e2",null,1,"c","Waited 2 hours or more in ER (base: those going to ER) (by two income categories)",null,"CWF Int. Comparison (2014)","D",null,"K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"by two income categories: those who reported their incomes as above the country median and those who reported their incomes as below the country median. "]
[17,"e2","2.6.",1,"c","A&E waiting times",null,"EHCI 2015","D",null,"Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"“Waiting time”: the period between arrival at the hospital door and when a doctor starts treating/attending the problem.",null,null,null,"Survey commissioned by HCP from Patient View 2015. Interviews with healthcare officials, feedback from national agencies. www.socialstyrelsen.se : Väntetider cancervård"]
[18,"e2",null,1,"s","Reported waiting times for General Practitioners care","Disaggregated by sex, age, income level. \nPercentage of patients who were given an appointment with a general practitioner for \ni) acute care: the same day or \nii) routine care: within seven days","Consolidated","D, E",{"$f":"COUNTIF(L122:BB122,\">0\")","v":6},"Consolidated",{"$f":"COUNTIF(L123:L136,1)","v":0},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,1,0,0,0,{"$f":"COUNTIF(AN123:AN136,1)+COUNTIF(AN109:AN110,1)","v":3},{"$f":"COUNTIF(AO123:AO136,1)","v":0},0,0,3,0,3,0,1,0,0,0,0,0,0]
[18,"e2",null,1,"c","Last time needed medical attention, was able to see doctor or nurse the same or next day","nA","CWF Int. Comparison (2014)","D",null,"K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[18,"e2",null,1,"c","Last time needed medical attention was able to see doctor or nurse the same or next day (by two income categories)",null,"CWF Int. Comparison (2014)","D",null,"K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"by two income categories: those who reported their incomes as above the country median and those who reported their incomes as below the country median. "]
[18,"e2",null,1,"c","Very or somewhat difficult to get medical care in the evening, weekend, or on a holiday without going to the emergency room (base: sought after-hours care)","nA","CWF Int. Comparison (2014)","D",null,"K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[18,"e2",null,1,"c","Somewhat or very difficult to get care in the evenings, on weekends, or holidays (base: sought after-hours care) (by two income categories)",null,"CWF Int. Comparison (2014)","D",null,"K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"by two income categories: those who reported their incomes as above the country median and those who reported their incomes as below the country median. "]
[18,"e2",null,1,"c","Patients reporting always or often getting telephone answer from doctor the same day (base: have a regular doctor and tried to contact by phone)",null,"CWF Int. Comparison (2014)","D",null,"K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,null,"Patient-centered Care: Communication","percent"]
[18,"e2","2.1.",1,"c","Family doctor same day access",null,"EHCI 2015","D",null,"Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Can I count on seeing my primary care doctor today?",null,null,null,"Survey commissioned from Patient View by HCP 2015. National healthcare agencies."]
[18,"e2",null,1,"c","Reported waiting times for access to General Practitioners",null,"Estonia HSPA (2010)","E",null,"WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,null,"Access to health care services: utilization of health care services"]
[18,"e2",50,1,"c","Percentage of GP practices not accessible by telephone within two minutes for non-urgent calls",null,"Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,null,null,"Getting better: Non-acute curative health care - Accessibility: timeliness"]
[18,"e2",37,1,"e/ms","Percentage of GP practices conforming to the practice standard of 30 seconds for emergency telephone calls",null,"Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,null,null,"Acute care - Quality"]
[18,"e2",38,1,"e/ms","Percentage of emergency calls to out-of-hours GP centres answered within the practice standard of 30 seconds",null,"Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,null,null,"Acute care - Quality"]
[18,"e2",31,1,"c","Appointment with a Primary Care Doctor within Seven Days",null,"Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"Percentage of patients who were given an appointment with a general practitioner within seven days",null,null,null,"Waiting Times in Health Care Database"]
[18,"e2",32,1,"c","Perceived Availability of Appointments at Primary Care Clinics",null,"Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"\"How do you feel about the time you had to wait?\" Patient-perceived quality of primary care",null,null,null,"National Patient Survey"]
[18,"e2",33,1,"c","Availability of Primary Care by Phone",null,"Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"Number of phone calls answered in primary care, Only health centres and computerised telephone systems.",null,null,null,"Waiting Times in Health Care Database"]
[18,"e2",null,1,"c","Access to GP services",null,"UK - Bevan et al. (2014)","E",null,"Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,"The weighted percentage of GP patient survey respondents who said they had a good experience of making an appointment. The percentage of respondents who answered the relevant question is also presented."]
[18,"e2",null,1,"c999","Patients reporting always or often getting telephone answer from doctor the same day (base: have a regular doctor and tried to contact by phone)","nA","Consolidated",999,null,null,0]
[19,"e1",null,1,"s","Reported waiting times for dental care","Percentage of patients who were given an appointment with a dentist for \ni) acute care: the same day or \nii) routine care: within x days. \nExact day range to be defined. ","Consolidated","E",{"$f":"COUNTIF(L138:BB138,\">0\")","v":2},"Consolidated",{"$f":"COUNTIF(L139,1)","v":0},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,{"$f":"COUNTIF(AN139,1)+COUNTIF(AN109:AN110,1)","v":2},{"$f":"COUNTIF(AO139,1)","v":0},0,0,0,0,0,0,1,0,0,0,0,0,0]
[19,"e1",null,1,"c","Access to NHS dental services",null,"UK - Bevan et al. (2014)","E",null,"Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,"Patient experience of access to NHS dental services, measured by scoring the results of two questions from the GP Patient Survey."]
[20,"i",null,1,"s","Reported waiting times for access to specialist (care)","No attempt was made to provide a single definition; instead following definitions are considered as examples: \nWaiting time of more than two weeks to get an appointment with a specialist (% of population asking an appointment). \nWaited 2 months or longer for specialist appointment (base: needed to see specialist in past 2 years) (by two income categories).\nWaiting time longer than 1 month for first contact in ambulatory mental health centre (% of pop with contact in ambulatory mental health centre).\nWaiting time, referral to treatment: Doctors report patients often experience long wait times to receive treatment after diagnosis (e.g. cancer treatment delays). Percentage of patients treated within 18 weeks. \n","Consolidated","A, D, E",{"$f":"COUNTIF(L140:BB140,\">0\")","v":13},"Consolidated",{"$f":"COUNTIF(L141:L166,1)","v":1},0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,2,1,1,2,{"$f":"COUNTIF(AN141:AN166,1)+COUNTIF(AN109:AN110,1)","v":3},{"$f":"COUNTIF(AO141:AO166,1)","v":2},0,1,1,0,8,0,1,0,0,0,0,0,0]
[20,"i",83,1,"c","Cancer treatment delay","To be established, e.g. the average time (in days) between the date of first visit to general practitioner and the date of first treatment, by cancer site (breast, colon and rectal cancer). Time between incidence date and date of first treatment could also be an option.","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"To be established, e.g. the average time (in days) between the date of first visit to general practitioner and the date of first treatment, by cancer site (breast, colon and rectal cancer). Time between incidence date and date of first treatment could also be an option.",null,"Indicator for the quality of cancer care. Indicators on cancer treatment quality are necessary to investigate the determinants of inequalities across Europe in terms of care. Explains part of the differences in cancer survival.","Topic needs much further development. The keys issues are:\n1) Is it appropriate to choose the following cancers: breast, colon and rectal cancer.\n2) Are first visit to general practitioner and first treatment the most appropriate starting and end points to measure treatment delay? For each cancer patient, five (six) dates in his/her patient history can be distinguished: 1) First visit to general practitioner, 2) First request for a clinical/hospital appointment,\n3) First clinical/hospital appointment, 4) Date of definitive diagnosis, 5) Date of first treatment (surgery, systemic therapy or radiotherapy), And for colon and rectal cancers, also 6) Information on elective or emergency surgery. Based on EUROCHIP-2 outcomes, time between first GP visit and first treatment seems the best option. The EUROCHIP-3 project looked into the availability of data for an indicator based on the definition of time between incidence date and date of first treatment (see remarks).\n3)  Data availability?",null,"nA","nA","nA","nA"]
[20,"i","nA",1,"c","Cancer treatment delay",null,"ESIF for Health 2015","A",null,"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"currently being developed as a part of the ECHI initiative",null,"Equity of access to health care services"]
[20,"i",null,1,"c","Waiting time to see a specialist was 2 months or more (base: saw or needed to see a specialist in past 2 years)",null,"CWF Int. Comparison (2014)","D",null,"K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[20,"i",null,1,"c","Waited 2 months or longer for specialist appointment (base: needed to see specialist in past 2 years) (by two income categories)",null,"CWF Int. Comparison (2014)","D",null,"K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"by two income categories: those who reported their incomes as above the country median and those who reported their incomes as below the country median. "]
[20,"i",11,1,"c","Percent of children with emotional, behavioral, or developmental problems who received needed mental health care in the past year","Percent of children ages 2-17 who had any kind of emotional, developmental, or behavioral problem that required treatment or counseling and who received treatment from a mental health professional (as defined) during the past 12 months.","CWF State Scorecard","D",null,"D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Percent of children ages 2-17 who had any kind of emotional, developmental, or behavioral problem that required treatment or counseling and who received treatment from a mental health professional (as defined) during the past 12 months.",null,null,null,"2011/12 National Survey of Children’s Health (CAHMI, NSCH 2011/12)."]
[20,"i",null,1,"c","Doctors report patients often experience long wait times to receive treatment after diagnosis",null,"CWF Int. Comparison (2014)","D",null,"K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[20,"i","2.2.",1,"c","Direct access to specialist",null,"EHCI 2015","D",null,"Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Without referral from family doctor (GP)",null,null,null,"Survey commissioned by HCP from Patient View 2015. Interviews with healthcare officials, feedback from national agencies."]
[20,"i","2.4.",1,"c","Cancer therapy < 21 days",null,"EHCI 2015","D",null,"Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Time to get radiation/ chemotherapy after decision",null,null,null,"Survey commissioned by HCP from Patient View 2015. Interviews with healthcare officials, feedback from national agencies. www.socialstyrelsen.se : Väntetider cancervård"]
[20,"i","nA",1,"c","Care access: Delay of needed care",null,"IOM 2015","D",null,"IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[20,"i","6.1.",1,"c","Waiting times for youth access to mental health and alcohol and other drug services",null,"MoH New Zealand 2016","D",null,"Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"nA",null,"‘Young people make good choices’"]
[20,"i","A-9",1,"c","Waiting time of more than two weeks to get an appointment with a specialist (% of population asking an appointment)",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[20,"i","MH-3",1,"c","Waiting time longer than 1 month for first contact in ambulatory mental health centre (% of pop with contact in ambulatory mental health centre)",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[20,"i",null,1,"c","Reported waiting times for specialist services",null,"Estonia HSPA (2010)","E",null,"WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,null,"Access to health care services: utilization of health care services"]
[20,"i",null,1,"c","Oncology patients’ access to care",null,"Hungary HSPA (2014)","E",null,"Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"check definition\nDone, but the further application of the indicator is not advised, or only with precautions",null,"Oncology: Access"]
[20,"i",null,1,"c","Rehabilitation of acute addictology patients after more than 60 days","nA","Hungary HSPA (2014)","E",null,"Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"Done, but the further application of the indicator is not advised, or only with precautions",null,"Psychiatry/addictology: Timeliness"]
[20,"i",14,1,"c","Waiting times for appointment at Out-patient Clinics (from date of request)",null,"Malta - Grech et al. (2015)","E",null,"Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,"nA","nA"]
[20,"i",76,1,"c","Percentages of clients obtaining care within waiting times prescribed by Treek standards",null,"Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,null,null,"Living with long-term illness or functional limitations - Accessibility (and availability)"]
[20,"i",34,1,"c","Specialist Appointment within 90 Days",null,"Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"Percentage of patients who waited 90 days or less for appointments with specialists",null,null,null,"Waiting Times in Health Care Database"]
[20,"i",140,1,"c","Adult Psychiatry – Appointment within 90 Days",null,"Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"Appointments at adult psychiatric clinics – percentage of patients with waiting times longer than 90 days of everyone on the waiting list"]
[20,"i",139,1,"c","Child and Adolescent Psychiatry – Appointment within 30 Days",null,"Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"Appointments at child and adolescent psychiatric clinics – percentage of patients with waiting times longer than 30 days of everyone on the waiting list"]
[20,"i",125,1,"c","Waiting Times for Breast Cancer Surgery",null,"Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0]
[20,"i",128,1,"c","Waiting Time from Receipt of Referral until Decision to Treat a Lung Cancer Patient",null,"Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,null,null,"A key indicator of lung cancer care is the amount of time that transpires between\nthe date that a specialist clinic receives a referral – or is contacted by the patient –\nand the decision to treat. The waiting time includes assessment and diagnosis until a\ndecision is made at a multidisciplinary team meeting or in some other manner. The\nclinic ordinarily specialises in either pulmonary medicine or oncology."]
[20,"i",129,1,"c","Waiting Time from Prostate Cancer Referral until Initial Appointment with a Urologist",null,"Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"Waiting time from a prostate cancer referral until the initial appointment with a urologist"]
[20,"i",131,1,"c","Waiting Time from Receipt of Referral until Commencement of Treatment for Head and Neck Cancer Patients",null,"Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"Average waiting time from receipt of a referral by a specialist clinic until commencement of treatment for malignant head and neck tumour"]
[20,"i",130,1,"c","Prostate Cancer – Curative Treatment of Patients Aged 75 and Younger","Prostate cancer – percentage of patients under 75 with a local medium-risk or high-risk tumour who received curative treatment","Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"Prostate cancer – percentage of patients under 75 with a local medium-risk or high-risk tumour who received curative treatment"]
[20,"i",null,1,"c","Waiting time, referral to treatment","Referral to treatment, % of patients treated within 18 weeks","UK - Bevan et al. (2014)","E",null,"Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,"Referral to treatment, % of patients treated within 18 weeks"]
[20,"i",null,1,"c999","Waiting time, referral to treatment","Doctors report patients often experience long wait times to receive treatment after diagnosis. \nReferral to treatment, % of patients treated within 18 weeks.","Consolidated",999,null,null,0]
[20,"i",null,1,"c999","Cancer treatment delay","To be established, e.g. the average time (in days) between the date of first visit to general practitioner and the date of first treatment, by cancer site (breast, colon and rectal cancer). Time between incidence date and date of first treatment could also be an option.","Consolidated",999,null,null,0]
[21,"e1",null,1,"s","Reported waiting times for imaging tests","Doctors report patients often experience difficulty getting specialized tests (e.g., CT, MRI). ","Consolidated","D, E",{"$f":"COUNTIF(L169:BB169,\">0\")","v":4},"Consolidated",{"$f":"COUNTIF(L170:L172,1)","v":0},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,{"$f":"COUNTIF(AN170:AN172,1)+COUNTIF(AN109:AN110,1)","v":2},{"$f":"COUNTIF(AO170:AO172,1)","v":0},0,1,0,0,0,0,0,0,0,0,0,0,0]
[21,"e1",null,1,"c","Doctors report patients often experience difficulty getting specialized tests (e.g., CT, MRI)",null,"CWF Int. Comparison (2014)","D",null,"K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[21,"e1","2.5.",1,"c","CT scan < 7days",null,"EHCI 2015","D",null,"Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Wait for advanced diagnostic (non-acute)",null,null,null,"Survey commissioned by HCP from Patient View 2015. Interviews with healthcare officials, feedback from national agencies. www.socialstyrelsen.se : Väntetider cancervård"]
[21,"e1",30,1,"c","Waiting times for out-patient based investigations (Angiograms, MRI, ultrasound, CT scan), interventions (total knee replacement, total hip replacement, cataracts, varicose veins, inguinal hernias, chemotherapy, radiotherapy)",null,"Malta - Grech et al. (2015)","E",null,"Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,"Average inpatient waiting time for elective (i.e. non-urgent) surgeries of Percutaneous Transluminal Coronary Angioplasty (PTCA), hip replacement and cataract operation, measured in number of days. Elective surgery is defined as when surgery is necessary, but the timing of the procedure can be scheduled and the patient can be sent home"]
[22,"i",null,1,"s","Waiting times for elective surgeries","Average inpatient waiting time for elective (i.e. non-urgent) surgeries of Percutanerous Transluminal Coronary Angioplasty (PTCA), hip replacement and cataract operation, measured in number of days. Elective surgery is defined as when surgery is necessary, but the timing of the procedure can be scheduled and the patient can be sent home.","Consolidated","A, B, D, E",{"$f":"COUNTIF(L173:BB173,\">0\")","v":12},"Consolidated",{"$f":"COUNTIF(L174:L187,1)","v":1},0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,3,0,0,0,0,1,0,1,1,0,0,0,{"$f":"COUNTIF(AN174:AN187,1)+COUNTIF(AN109:AN110,1)","v":2},{"$f":"COUNTIF(AO174:AO187,1)","v":0},0,0,0,2,1,0,1,0,1,0,0,0,0]
[22,"i",81,1,"c","Waiting times for elective surgeries","Average inpatient waiting time for elective (i.e. non-urgent) surgeries of Percutanerous Transluminal Coronary Angioplasty (PTCA), hip replacement and cataract operation, measured in number of days. Elective surgery is defined as when surgery is necessary, but the timing of the procedure can be scheduled and the patient can be sent home.","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Average inpatient waiting time for elective (i.e. non-urgent) surgeries of Percutanerous Transluminal Coronary Angioplasty (PTCA), hip replacement and cataract operation, measured in number of days. Elective surgery is defined as when surgery is necessary, but the timing of the procedure can be scheduled and the patient can be sent home.",null,"Indicator for the accessibility of health care, with focus on elective interventions. Long waiting times can lead to deterioration in health, loss of effectiveness and extra costs. They generate dissatisfaction for the patients\nand among the general public","Topic needs much development. The keys issues are:\n1) Are the 3 procedures currently selected OK and enough? The three procedures were originally selected as examples from those that have best data availability at OECD, and as being similar to the ones measured under the ECHI indicator 73. Surgeries: PTCA, hip, cataract.\n2) There is a choice between concepts of “waiting times of the patients admitted” and “waiting times of the patients on the list at a census date”. Member States measure waiting times in very different ways. The most important distinction is between the ‘waiting times of the patients admitted’ (i.e. recording waiting of all patients at the time of admission for treatment) and the ‘waiting times of the patients on the list at a census date’ (i.e. taking a periodic census of patients on a list and recording waiting up to that date). We propose to take the first one.\n3) The measure of the length of waiting time, mean or median or both? Mean waiting times tend to be systematically higher than median waiting times. We propose to take the median.\n4) There is no regular/sustainable data collection for this indicator topic. Also OECD has not followed up on its earlier pilot data collections.",null,"nA","nA","nA","nA"]
[22,"i","nA",1,"c","Waiting time for certain types of surgeries",null,"ESIF for Health 2015","A",null,"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"currently being developed as a part of the ECHI initiative",null,"Equity of access to health care services"]
[22,"i","nA",1,"c","Waiting Times, Waiting Lists in different parts of the health system",null,"EXPH 2014","A",null,"EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[22,"i",null,1,"c","Waiting times for cataract surgery","Cataract surgery, waiting times from specialist assessment to treatment in days","Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"measuring the waiting times for patients treated in a given period.\n"]
[22,"i",null,1,"c","Waiting times for knee replacement","Knee replacement, waiting times from specialist assessment to treatment","Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"measuring the waiting times for patients treated in a given period.\n"]
[22,"i",null,1,"c","Waiting times for hip replacement","Hip replacement, waiting times from specialist assessment to treatment","Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[22,"i",null,1,"c","Waiting time for elective surgery",null,"AIHW. (2014)","D",null,"AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"The median waiting times for elective surgery in public hospitals. Data are presented as a number of days."]
[22,"i",null,1,"c","Waiting time of 4 months or more for elective/nonemergency surgery (base: those needing elective surgery in past year)",null,"CWF Int. Comparison (2014)","D",null,"K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[22,"i","2.3.",1,"c","Major elective surgery <90 days",null,"EHCI 2015","D",null,"Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Coronary bypass/PTCA and hip/knee joint",null,null,null,"Survey commissioned by HCP from Patient View 2015. Interviews with healthcare officials, feedback from national agencies."]
[22,"i",null,1,"c","Number of cases waiting for more than 120 days",null,"Portugal HSPA (2010)","E",null,"World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,null,null,"Access to health services"]
[22,"i",null,1,"c","Percent of surgeries completed within established target wait times","nA","Portugal HSPA (2010)","E",null,"World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,null,null,"Access to health services"]
[22,"i",35,1,"c","Surgery within 90 Days",null,"Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"Percentage of patients who waited 90 days or less for surgery in specialist care",null,null,null,"Waiting Times in Health Care Database"]
[22,"i",null,1,"c","Waiting time, selected procedures",null,"UK - Bevan et al. (2014)","E",null,"Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,"Waiting times in days for selected procedures (50th and 90th percentile)"]
[22,"i",null,1,"c","Reported waits for elective surgery",null,"UK - Berry (2015)","E",null,"Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,null,null,"timeliness of access to health care",null,"Commonwealth Fund. 2010 International Health Policy Survey in Eleven Countries."]
[23,"i",null,1,"s","Rate of patients with colorectal tumour receiving chemotherapy whose treatment started within two months following surgery","This indicator aims to detect effects of the policy changes on timely delivery of services to colorectal cancer patients.","Hungary HSPA (2014)","E",{"$f":"COUNTIF(L188:BB188,\">0\")","v":1},"Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,"Done and its further application is advised",null,"Oncology: Timeliness. The indicator for the analysis of timeliness proved to be appropriate to detect effects of the policy changes on timely delivery of services to colorectal cancer patients."]
[24,"e0",null,1,"s","Medical records/test results did not reach doctor’s office in time for appointment, in past 2 years","Survey question. ","CWF Int. Comparison (2014)","D",{"$f":"COUNTIF(L189:BB189,\">0\")","v":1},"K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,null,"Efficiency"]
[25,"i",52,1,"s","Numbers of people awaiting donor organs","The numbers refer to people actively awaiting a transplant, who have been approved by a transplantation centre and who are ready to receive the transplant.","Netherlands - van den Berg et al. (2015)","E",{"$f":"COUNTIF(L190:BB190,\">0\")","v":1},"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,"The numbers refer to people actively awaiting a transplant, who have been approved by a transplantation centre and who are ready to receive the transplant.",null,"Getting better: Non-acute curative health care - Accessibility: timeliness"]
[26,"i",null,1,"s","Waiting times for admission to public rehabilitation facility and to public long-term care facility","Waiting times for admission to public rehabilitation facility\n‘The denominator is the total number of patients referred for rehabilitation in a year under review who are accepted for a period of rehabilitation at RHKG. The numerator is the total number of patients actually transferred for rehabilitation at RHKG during the year under review.\nThe median waiting time is from date of referral to date of transfer.\nExclusion criteria: deceased patients while waiting and discharged patients while waiting.’\nWaiting times for admission to public long-term care facility\n‘The denominator is the total number of patients applying for government long term care during the year under review. The numerator is the total number of patients admitted to government long term care within 18 months from the date of application.\nThe median waiting time is from date of application of long term care to date of admission.\nExclusion criteria: deceased patients while waiting and patients withdrawing their application’.","Consolidated","E",{"$f":"COUNTIF(L191:BB191,\">0\")","v":2},"Consolidated",{"$f":"COUNTIF(L192:L194,1)","v":0},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0]
[26,"i",23,1,"c","Waiting times for admission to public rehabilitation facility and to public long-term care facility",null,"Malta - Grech et al. (2015)","E",null,"Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,"Waiting times for admission to public rehabilitation facility\n‘The denominator is the total number of patients referred for rehabilitation in a year under review who are accepted for a period of rehabilitation at RHKG. The numerator is the total number of patients actually transferred for rehabilitation at RHKG during the year under review.\nThe median waiting time is from date of referral to date of transfer.\nExclusion criteria: deceased patients while waiting and discharged patients while waiting.’\nWaiting times for admission to public long-term care facility\n‘The denominator is the total number of patients applying for government long term care during the year under review. The numerator is the total number of patients admitted to government long term care within 18 months from the date of application.\nThe median waiting time is from date of application of long term care to date of admission.\nExclusion criteria: deceased patients while waiting and patients withdrawing their application’.","nA"]
[26,"i",51,1,"c","Percentages of secondary care units with waiting times above Treek standards",null,"Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,null,null,"Getting better: Non-acute curative health care - Accessibility: timeliness"]
[26,"i",75,1,"c","Numbers of people involuntarily on waiting lists for long-term care longer than the permissible waiting times",null,"Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,null,null,"Living with long-term illness or functional limitations - Accessibility (and availability)"]
[27,"i",null,1,"s","Waiting times for home/social care services","Percentages of clients receiving home help services within one month of approval","Consolidated","E",{"$f":"COUNTIF(L195:BB195,\">0\")","v":1},"Consolidated",{"$f":"COUNTIF(L196,1)","v":0},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
[27,"i",77,1,"c","Percentages of clients receiving home help services within one month of approval",null,"Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,"Living with long-term illness or functional limitations - Accessibility (and availability)"]
[28,"e0",78,1,"s","Percentages of informal carers of people with dementia who receive timely psychosocial and practical support for their own needs","Informal carers taking part in the Informal Care Monitoring Study reported needing psychosocial and practical support for themselves.","Netherlands - van den Berg et al. (2015)","E",{"$f":"COUNTIF(L197:BB197,\">0\")","v":1},"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,"Living with long-term illness or functional limitations - Accessibility (and availability)"]
[29,"e2",111,1,"s","Waiting times for terminal palliative care","The number of people waiting for i) institutional and/or ii) mobile palliative care in excess of a defined national standard of (6) x weeks. ","Netherlands - van den Berg et al. (2015)","E",{"$f":"COUNTIF(L198:BB198,\">0\")","v":1},"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,"The number of people waiting for palliative care (AWBZ VV-10 care) in excess of the Treek standard of 6 weeks is very low. Waiting times for palliative care provided by volunteers are short",null,"End-of-life care - Accessibility (and availability)"]
[29,"e2",110,1,"ms","Number of consultation requests submitted to IKNL palliative care consultation teams",null,"Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,"End-of-life care - Accessibility (and availability): palliative care"]
[29,"e2",null,1,"e","Relationships between standardized mortality rates compared with hospitalization rates","nA","Estonia HSPA (2010)","E",null,"WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"check definition",null,"Access to health care services: equity in utilization of health care services"]
[29,"e2",null,1,"e","Relationships between standardized mortality rates compared with GP contacts","nA","Estonia HSPA (2010)","E",null,"WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"check definition",null,"Access to health care services: equity in utilization of health care services"]
[30,"e0",null,1,"s","Percentage of dialysis done outside of hospital/centre","Percentage of all Dialysis patients on peritoneal dialysis (PD) and hemodialysis (HD) in the home of patient. ","Consolidated","D",{"$f":"COUNTIF(L202:BB202,\">0\")","v":1},"Consolidated",{"$f":"COUNTIF(L203,1)","v":0},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[30,"e0","4.7.",1,"c","% of dialysis done outside of clinic","% of all Dialysis patients on PD or HD in the home","EHCI 2015","D",null,"Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"% of all Dialysis patients on PD or HD in the home",null,null,null,"European Renal Association Annual Report 2013, www.ceapir.org"]
[null,null,null,2,999,"HEALTH CARE RESOURCES: LABOUR",null,"Consolidated",999]
[31,"i",null,2,"s","Employment in human health and social work activities","Disaggregated by age, by educational attainment level, by NUTS regions. \nEmployment in health and social work, NACE rev 2 Q. Number of employees between age 15 and 64. ","Consolidated","A, D",{"$f":"COUNTIF(L205:BB205,\">0\")","v":3},"Consolidated",{"$f":"COUNTIF(L206:L210,1)","v":0},0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[31,"i","nA",2,"c","Number of jobs created in health care sector",null,"ESIF for Health 2015","A",null,"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,null,"Health workforce"]
[31,"i","nA",2,"c","Employment of workers holding a tertiary degree as a percentage of total employment in health and social work and in all sectors","nA","EU Semester thematic fiche Health 2015 (DG-ECFIN)","A",null,"EC, Europe 2020 (2015) European Semester Thematic Fiche: Health and Health Systems, from http://ec.europa.eu/europe2020/pdf/themes/2015/health-and-health-systems.pdf",0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[31,"i","nA",2,"c","Average annual changes in jobs between 2008 (Q3) and 2014 (Q3) in human health and in all other sectors","nA","EU Semester thematic fiche Health 2015 (DG-ECFIN)","A",null,"EC, Europe 2020 (2015) European Semester Thematic Fiche: Health and Health Systems, from http://ec.europa.eu/europe2020/pdf/themes/2015/health-and-health-systems.pdf",0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[31,"i",null,2,"c","Employment in human health and social work activities","Disaggregated by age, by educational attainment level, by NUTS regions. \nEmployment in health and social work, NACE rev 2 Q. Number of employees between age 15 and 64. ","Eurostat","A",null,"Eurostat. (2016). Health Statistics and Labour Force Survey  Retrieved from http://ec.europa.eu/eurostat/web/health.   http://ec.europa.eu/eurostat/web/health, http://ec.europa.eu/eurostat/web/lfs/data",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[31,"i",null,2,"c","Net growth in health workforce",null,"AIHW. (2014)","D",null,"AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"The change over time in the full-time equivalent number of people employed in selected (medical practicioners, nurses and midwives) health workforce professions."]
[31,"i",109,2,"e/ms","Numbers of volunteers that provide palliative care",null,"Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,"End-of-life care - Accessibility (and availability): palliative care"]
[31,"i",null,2,"ms","Infrastructure staff (WTE)",null,"UK - Bevan et al. (2014)","E",null,"Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[31,"i",null,2,"c999","Net growth in health workforce","The change over time in the full-time equivalent number of people employed in selected (medical practicioners, nurses and midwives) health workforce professions.","Consolidated",999,null,null,0]
[32,"i",null,2,"s","Practising physicians","Practising physicians per 100,000 population by category (MD, dentists, pharmacists, physiotherapists, psychiatrists) and partly by age and sex\nPhysicians by specialty per 100 000 population (GP, general paediatricians, obstetricians and gynaecologists, psychiatrists, medical group of specialists, surgical group of specialists). ","Consolidated","A, B, C, D, E",{"$f":"COUNTIF(L214:BB214,\">0\")","v":13},"Consolidated",{"$f":"COUNTIF(L215:L245,1)","v":2},0,1,8,0,0,0,0,0,0,0,1,0,1,0,0,4,0,0,0,6,0,1,0,0,0,0,3,1,0,0,0,0,1,0,0,1,0,1,0,0,0,0]
[32,"i",63,2,"c","Practising doctors","Practising physicians per 100,000 population by category (MD, dentists, pharmacists, physiotherapists) and partly by age and sex","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The total number of practising physicians (medical doctors) per 100,000 inhabitants.","The total number of practising physicians (medical doctors) by 31 December of a given calendar year, per 100,000 inhabitants (end of year population). Practising physicians provide services directly to patients. Practising physicians include:\n• Persons who have completed studies in medicine at university level (granted by adequate diploma) and who are licensed to practice\n• Interns and resident physicians (with adequate diploma and providing services under\n• supervision of other medical doctors during their postgraduate internship or residency in a\n• health care facility)\n• Salaried and self-employed physicians delivering services irrespectively of the place of\n• service provision\n• Foreign physicians licensed to practice and actively practising in the country.\nFor a more detailed definition: see references (definitions on health care statistics (non-expenditure data), available in CIRCA).","Indicator widely used in assessments of accessibility and efficiency of health care services. It describes availability of staff for the whole country and the distribution of staff across the country. Time trends may\nhelp to identify e.g. staff shortages due to demographic developments such as migration.","Per 100,000 inhabitants","Eurostat","• Calendar year\n• Country\n• Region (according to ISARE recommendations; see data availability)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_rs_prs1&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_res_esms.htm","http://ec.europa.eu/health/indicators/docs/echi_63.pdf"]
[32,"i","63/64",2,"c","European health indicator on other health professionals","The indicator on practising dentists gives the total number of practising dentists per 100,000 inhabitants.","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The indicator on practising dentists gives the total number of practising dentists per 100,000 inhabitants.","nA",null,null,null,"working status: practising, professionally active or licensed to practice; ","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_rs_prs1&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_res_esms.htm"]
[32,"i",18,2,"c","Number of GPs per 100 000 inhabitants",null,"Eckfeldt et al. 2014 (DG-ECFIN)","A",null,"Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",0,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Generalist medical practitioners (Eurostat: variable \"GEN\" in dataset \"hlth_rs_spec\") per 100 000 inhabitants."]
[32,"i","nA",2,"c","Practicing physicians",null,"ESIF for Health 2015","A",null,"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Number per 100 000 inhabitants",null,"Health workforce"]
[32,"i","nA",2,"c","Practicing dentists",null,"ESIF for Health 2015","A",null,"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Number per 100 000 inhabitants",null,"Health workforce"]
[32,"i","nA",2,"c","Average age of general practitioners",null,"ESIF for Health 2015","A",null,"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Health workforce"]
[32,"i","nA",2,"c","Percentage of physicians aged 35 years and younger",null,"ESIF for Health 2015","A",null,"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Health workforce"]
[32,"i","nA",2,"c","Percentage of physicians aged 55 years and older",null,"ESIF for Health 2015","A",null,"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Health workforce"]
[32,"i","nA",2,"c","Number of inhabitants per one general practitioner, by region",null,"ESIF for Health 2015","A",null,"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Access to primary care"]
[32,"i","nA",2,"c","Number of inhabitant per one dentist, by region","nA","ESIF for Health 2015","A",null,"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Access to primary care"]
[32,"i","nA",2,"c","Number of women per one gynaecologist, by region","nA","ESIF for Health 2015","A",null,"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Access to primary care"]
[32,"i","R-8",2,"c","Practising physicians or doctors",null,"JAF Health (DG EMPL)","A",null,"EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Total number of practising physicians (medical doctors) per 100 000 inhabitants.",null,null,null,"Eurostat (Joint questionnaire with OECD/WHO)"]
[32,"i","nA",2,"c","Number of physicians per 100 000 inhabitants",null,"Medeiros & Schwierz 2015 (DG-ECFIN)","A",null,"Medeiros J & Schwierz C (2015) Efficiency estimates of health care systems - European Commission Economic Papers (Vol. 549). Brussels: European Economy.",0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Practicing physians per 100 000 inhabitants."]
[32,"i",null,2,"c","Practising doctors per 1 000 population",null,"Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"practising doctors, defined as the number of doctors who are providing care directly to patients. In many countries, the numbers include interns and residents (doctors in training). The numbers are based on head counts. "]
[32,"i",null,2,"c","Share of doctors aged 55 years and over","practising doctors, defined as the number of doctors who are providing care directly to patients. In many countries, the numbers include interns and residents (doctors in training). The numbers are based on head counts. Share of doctors aged 55 years and over","Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"practising doctors, defined as the number of doctors who are providing care directly to patients. In many countries, the numbers include interns and residents (doctors in training). The numbers are based on head counts. "]
[32,"i",null,2,"c","Share of female doctors",null,"Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[32,"i",null,2,"c","Practising pharmacists","number of pharmacists who are licensed to practice and provide direct services to clients/patients 100 000 population","Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Practicing pharmacists are defined as the number of phar- macists who are licensed to practice and provide direct services to clients/patients. They can be either salaried or self-employed, and work in community pharmacies, hospitals and other settings. Assistant pharmacists and the other employees of pharmacies are normally excluded.\nCommunity pharmacies are premises which in accordance to the local legal provisions and definitions may operate as a facility in the provision of pharmacy services in the community settings. The number of community phar- macies reported are the number of premises where dispensing of medicines happened under the supervision of a pharmacist."]
[32,"i",42,2,"c","Physicians per 100 000 population",null,"WHO Core Health 2015","C",null,"World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[32,"i",45,2,"c","Dentists per 100 000 population",null,"WHO Core Health 2015","C",null,"World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[32,"i",47,2,"c","Physiotherapists per 100 000 population",null,"WHO Core Health 2015","C",null,"World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[32,"i","50-51",2,"c","Physicians by age and sex (%)",null,"WHO Core Health 2015","C",null,"World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[32,"i","52-57",2,"c","Physicians by specialty per 100 000 population (GP, general paediatricians, obstetricians and gynaecologists, psychiatrists, medical group of specialists, surgical group of specialists)",null,"WHO Core Health 2015","C",null,"World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[32,"i",46,2,"c","Pharmacists per 100 000 population",null,"WHO Core Health 2015","C",null,"World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[32,"i",null,2,"c","Family Medicine Physicians per 100,000 Population",null,"CIHI In Depth (2014)","D",null,"CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Regional Characteristics and Inputs",null,"·      Canadian Institute for Health Information"]
[32,"i","A-5",2,"c","Practising physicians (/1000 population)",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
[32,"i","S-7",2,"c","Physicians aged 55+ (% of those practising)",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
[32,"i","MH-2",2,"c","Practising psychiatrists (/1000 pop)",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
[32,"i",null,2,"c","Physicians per 100 hosptal beds",null,"Estonia HSPA (2010)","E",null,"WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Efficiency and effectiveness of the health system: technical efficiency"]
[32,"i",null,2,"c","Physicians per 1,000 population",null,"Portugal HSPA (2010)","E",null,"World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,"Non-financial sustainability"]
[32,"i",null,2,"c","Hospital doctors (WTE)",null,"UK - Bevan et al. (2014)","E",null,"Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,"Medical and dental professionals (WTE), per 1,000 population"]
[32,"i",null,2,"c","Practising doctors per 1 000 population",null,"UK - Berry (2015)","E",null,"Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,"OECD"]
[32,"i",null,2,"c999","Practising pharmacists","number of pharmacists who are licensed to practice and provide direct services to clients/patients 100 000 population","Consolidated",999,null,null,0]
[33,"i",null,2,"s","Share of GPs in all physicians","Share of generalist medical practitioners in all physicians.","Consolidated","A, B, E",{"$f":"COUNTIF(L247:BB247,\">0\")","v":7},"Consolidated",{"$f":"COUNTIF(L248:L258,1)","v":0},0,1,3,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,2,0,0,0,2,0,0,0,0,0,0]
[33,"i",19,2,"c","Share of GPs in all physicians","Share of generalist medical practitioners in all physicians.","Eckfeldt et al. 2014 (DG-ECFIN)","A",null,"Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",0,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Share of generalist medical practitioners in all physicians."]
[33,"i","nA",2,"c","Percentage of ambulatory physicians on total number of physicians",null,"ESIF for Health 2015","A",null,"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Primary and ambulatory care"]
[33,"i","nA",2,"c","Percentage of general practitioners in outpatient care","nA","ESIF for Health 2015","A",null,"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Primary and ambulatory care"]
[33,"i","nA",2,"e/ms","Percentage of ambulatory specialists in outpatient care","nA","ESIF for Health 2015","A",null,"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Primary and ambulatory care"]
[33,"i",null,2,"c","Generalists and specialists as a share of all doctors",null,"Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"practising doctors, defined as the number of doctors who are providing care directly to patients. In many countries, the numbers include interns and residents (doctors in training). The numbers are based on head counts. "]
[33,"i","S-6",2,"c","Mean age of practising GPs (in FTE, years)",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
[33,"i",null,2,"c","GPs and specialist physicians per 100.000 population",null,"Estonia HSPA (2010)","E",null,"WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Efficiency and effectiveness of the health system: allocative efficiency"]
[33,"i",108,2,"e/ms","Numbers of GPs with special interest in palliative care","nA","Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,"End-of-life care - Accessibility (and availability): palliative care"]
[33,"i",112,2,"c","Number of SCEN doctors",null,"Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,"End-of-life care - Accessibility (and availability): end-of-life decisions"]
[33,"i",null,2,"c","General practitioners (GPs) (wholetime equivalent, WTE)",null,"UK - Bevan et al. (2014)","E",null,"Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,"GPs (WTE) per 1,000 population"]
[33,"i",null,2,"c","GPs (headcount)",null,"UK - Bevan et al. (2014)","E",null,"Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,"GPs (headcount) per 1,000 population"]
[34,"e0","nA",2,"s","Shortage of doctors (physicians and dentists): vacancy rate","A job vacancy is defined as a newly created, unoccupied, or about to become vacant, post. The job vacancy rate (JVR) measures the proportion of total posts that are vacant expressed as a percentage as follows:\nJVR = number of job vacancies * 100 / (number of occupied posts + number of job vacancies).\nhttp://ec.europa.eu/eurostat/en/web/products-datasets/-/TEILM310","Consolidated","A",{"$f":"COUNTIF(L259:BB259,\">0\")","v":1},"Consolidated",{"$f":"COUNTIF(L260,1)","v":0},0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"a) Vacancy rate, b) Percentage of care not covered",null,"Health workforce"]
[34,"e0","nA",2,"c","Shortage of physicians (nationwide, regional): vacancy rate","nA","ESIF for Health 2015","A",null,"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"a) Vacancy rate, b) Percentage of care not covered",null,"Health workforce"]
[35,"e0","nA",2,"s","Shortage of doctors (physicians and dentists): percentage of care not covered","nA","Consolidated","A",{"$f":"COUNTIF(L261:BB261,\">0\")","v":1},"Consolidated",{"$f":"COUNTIF(L262:L263,1)","v":0},0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"a) Vacancy rate, b) Percentage of care not covered",null,"Health workforce"]
[35,"e0","nA",2,"c","Shortage of physicians (nationwide, regional): percentage of care not covered","nA","ESIF for Health 2015","A",null,"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"a) Vacancy rate, b) Percentage of care not covered",null,"Health workforce"]
[35,"e0","nA",2,"c","Shortage of dentists","a) Vacancy rate, b) Percentage of care not covered","ESIF for Health 2015","A",null,"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Vacancy rate\nPercentage of care not covered",null,"Health workforce"]
[36,"e1",null,2,"s","Medical graduates","Medical graduates are defined as the number of students who have graduated from medical schools in a given year. ","Consolidated","A, B, C, E",{"$f":"COUNTIF(L264:BB264,\">0\")","v":4},"Consolidated",{"$f":"COUNTIF(L265:L269,1)","v":0},0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[36,"e1","nA",2,"c","Number of jobs created in health care sector for qualified workforce holding post-secondary degree",null,"ESIF for Health 2015","A",null,"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Health workforce"]
[36,"e1",null,2,"c","Medical graduates","Medical graduates are defined as the number of students who have graduated from medical schools in a given year. ","Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Medical graduates are defined as the number of students who have graduated from medical schools in a given year. "]
[36,"e1",48,2,"c","Physician Graduates per 100 000 population",null,"WHO Core Health 2015","C",null,"World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[36,"e1","S-4",2,"c","Medical graduates (/100 000 population)",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
[36,"e1","S-5",2,"c","Medical graduates becoming GP (% of those with medical specialisation)",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
[37,"e0",null,2,"s","Remuneration of doctors (general practitioners and specialists), ratio to average wage","The remuneration of doctors refers to average gross annual income, including social security contributions and income taxes payable by the employee. It should normally exclude practice expenses for self-employed doctors.","Health at a Glance 2015","B",{"$f":"COUNTIF(L270:BB270,\">0\")","v":1},"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"The remuneration of doctors refers to average gross annual income, including social security contributions and income taxes payable by the employee. It should normally exclude practice expenses for self-employed doctors."]
[37,"e0",null,2,"c","Growth in the remuneration of GPs and specialists","Average annual growth rate (%, in nominal terms)","Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[38,"i",null,2,"s","Practising qualified nurses and midwives","Practising qualified nurses and midwives, per 100,000 population","Consolidated","A, B, C, E",{"$f":"COUNTIF(L272:BB272,\">0\")","v":10},"Consolidated",{"$f":"COUNTIF(L273:L286,1)","v":1},0,0,2,0,0,0,0,0,0,0,1,0,1,0,0,1,0,0,0,2,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0]
[38,"i",64,2,"c","Practising nurses","Practising qualified nurses and midwives, per 100,000 population","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The total number of practising nursing and caring professionals per 100,000 inhabitants.","The total number of practising nursing and caring professionals by 31 December of a given calendar year, per 100,000 inhabitants (end of year population). Practising nurses provide services directly to patients. Practising nurses include:\n• Professional nurses\n• Associate professional nurses\n• Foreign nurses licensed to practice and actively practising in the country.\nFor more detailed definitions: see references (definitions and data collection specifications on health care statistics (non-expenditure data), available in CIRCA).","Indicator widely used in assessments of accessibility and efficiency of health care services. It describes availability of staff for the whole country and the distribution of staff across the country. Time trends may\nhelp to identify e.g. staff shortages due to demographic developments such as migration.","Per 100,000 inhabitants","Eurostat","• Calendar year\n• Country\n• Region (according to ISARE recommendations; see data availability)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_rs_prsns&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_res_esms.htm","http://ec.europa.eu/health/indicators/docs/echi_64.pdf"]
[38,"i","nA",2,"c","Practicing nurses",null,"ESIF for Health 2015","A",null,"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Health workforce"]
[38,"i","nA",2,"c","Percentage of nurses aged 35 years and older",null,"ESIF for Health 2015","A",null,"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Health workforce"]
[38,"i","R-9",2,"c","Practising and professionally active nurses and midwives",null,"JAF Health (DG EMPL)","A",null,"EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Total number of professional nurses and midwives per 100 000 inhabitants.",null,null,null,"Eurostat (Joint questionnaire with OECD/WHO)"]
[38,"i","nA",2,"c","Number of nurses per 100 000 inhabitants",null,"Medeiros & Schwierz 2015 (DG-ECFIN)","A",null,"Medeiros J & Schwierz C (2015) Efficiency estimates of health care systems - European Commission Economic Papers (Vol. 549). Brussels: European Economy.",0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Practicing nursing and caring professionals including midwives per 100 000 inhabitants"]
[38,"i",null,2,"c","Practising nurses per 1 000 population",null,"Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The number of nurses includes those employed in public and private settings providing services directly to patients (“practising”) and in some cases also those working as managers, educators or researchers."]
[38,"i",43,2,"c","Nurses per 100 000 population",null,"WHO Core Health 2015","C",null,"World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[38,"i",44,2,"c","Midwives per 100 000 population",null,"WHO Core Health 2015","C",null,"World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[38,"i","A-6",2,"c","Practising nurses (/1000 population)",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
[38,"i","S-10",2,"c","Nurses aged 50+ (% of those practising)",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
[38,"i","A-8",2,"c","Patient-to-nurse ratio",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
[38,"i",null,2,"c","Nurses per 1,000 population",null,"Portugal HSPA (2010)","E",null,"World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,"Non-financial sustainability"]
[38,"i",null,2,"c","Nurses (WTE)",null,"UK - Bevan et al. (2014)","E",null,"Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,"Qualified nursing, midwifery and health visiting staff (WTE) per 1,000 population"]
[38,"i",null,2,"c","Practising nurses per 1 000 population",null,"UK - Berry (2015)","E",null,"Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,"OECD"]
[39,"e1",null,2,"s","Nursing graduates","Nursing graduates refer to the number of students who have obtained a recognised qualification required to become a licensed or registered nurse. They include graduates from both higher level and lower level nursing programmes. They exclude graduates from Masters or PhD degrees in nursing to avoid double-counting nurses acquiring further qualifications.","Consolidated","B, C, E",{"$f":"COUNTIF(L287:BB287,\">0\")","v":3},"Consolidated",{"$f":"COUNTIF(L288:L291,1)","v":0},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[39,"e1",null,2,"c","Nursing graduates","Nursing graduates refer to the number of students who have obtained a recognised qualification required to become a licensed or registered nurse. They include graduates from both higher level and lower level nursing programmes. They exclude graduates from Masters or PhD degrees in nursing to avoid double-counting nurses acquiring further qualifications.","Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Nursing graduates refer to the number of students who have obtained a recognised qualification required to become a licensed or registered nurse. They include graduates from both higher level and lower level nursing programmes. They exclude graduates from Masters or PhD degrees in nursing to avoid double-counting nurses acquiring further qualifications."]
[39,"e1",49,2,"c","Nurses Graduates per 100 000 population",null,"WHO Core Health 2015","C",null,"World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[39,"e1","S-8",2,"c","Nursing graduates (/100 000 population)",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
[39,"e1","S-9",2,"c","Nursing students following the bachelor track (% of new graduates)",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
[40,"e0",null,2,"s","Remuneration of nurses","The remuneration of nurses refers to average gross annual income, including social security contribu- tions and income taxes payable by the employee. It should normally include all extra formal payments, such as bonuses and payments for night shifts and overtime.","Health at a Glance 2015","B",{"$f":"COUNTIF(L292:BB292,\">0\")","v":1},"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The remuneration of nurses refers to average gross annual income, including social security contribu- tions and income taxes payable by the employee. It should normally include all extra formal payments, such as bonuses and payments for night shifts and overtime."]
[41,"e2",null,2,"s","Ratio of nurses and midwives to physicians","Ratio of practicing nursing and caring professionals including midwives (Eurostat: hlth_rs_prsns) to the total number of practicing physicians","Consolidated","A, B, E",{"$f":"COUNTIF(L293:BB293,\">0\")","v":5},"Consolidated",{"$f":"COUNTIF(L294:L298,1)","v":0},0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0]
[41,"e2",20,2,"c","Ratio of nurses and midwives to physicians","Ratio of practicing nursing and caring professionals including midwives (Eurostat: hlth_rs_prsns) to the total number of practicing physicians","Eckfeldt et al. 2014 (DG-ECFIN)","A",null,"Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",0,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Ratio of practicing nursing and caring professionals including midwives (Eurostat: hlth_rs_prsns) to the total number of practicing physicians"]
[41,"e2",null,2,"c","Ratio of nurses to physicians",null,"Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[41,"e2",null,2,"c","Ratio of nurses to physicians",null,"Estonia HSPA (2010)","E",null,"WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Efficiency and effectiveness of the health system: allocative efficiency"]
[41,"e2",41,2,"c","Numbers and ratios of all practicing doctors, GPs, specialists, and nurses & midwives per 100,000 inhabitants (GPs : specialists, nurses : physicians)",null,"Malta - Grech et al. (2015)","E",null,"Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,"All practicing doctors: The total number of practicing physicians (medical doctors) per 100,000 inhabitants. \nPracticing nurses: The total number of practising nursing and caring professionals by 31 December of a given calendar year, per 100,000 inhabitants (end of year population). Practicing nurses provide services directly to patients. Practising nurses include professional nurses, associate professional nurses and foreign nurses licensed to practice and actively practicing in the country. ","All practicing doctors: The total number of practicing physicians (medical doctors) by 31 December of a given calendar year, per 100,000 inhabitants (end of year population). Practicing physicians provide services directly to patients. \nPracticing nurses: The total number of practicing nursing and caring professionals by 31 December of a given calendar year, per 100,000 inhabitants (end of year population). Practicing nursing and caring professionals provide services directly to patients. Nursing and caring professionals include midwives, qualified nurses, associate nurses and caring personnel (e.g. nursing aids, assistants). A nurse is a person who has completed a programme of basic nursing education and is qualified and authorised in his/her country to practice nursing in all settings. "]
[41,"e2",null,2,"c","Ratio of nurses to physicians working in hospitals",null,"Portugal HSPA (2010)","E",null,"World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,"Non-financial sustainability"]
[42,"e0",null,2,"s","Shortage of nurses: vacancy rate","A job vacancy is defined as a newly created, unoccupied, or about to become vacant, post. The job vacancy rate (JVR) measures the proportion of total posts that are vacant expressed as a percentage as follows:\nJVR = number of job vacancies * 100 / (number of occupied posts + number of job vacancies).\nhttp://ec.europa.eu/eurostat/en/web/products-datasets/-/TEILM310","Consolidated","A, E",{"$f":"COUNTIF(L299:BB299,\">0\")","v":2},"Consolidated",{"$f":"COUNTIF(L300:L301,1)","v":0},0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[42,"e0","nA",2,"c","Shortage of nurses: vacancy rate","Number of nurse vacancies","ESIF for Health 2015","A",null,"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Vacancy rate\nPercentage of care not covered",null,"Health workforce"]
[42,"e0","A-7",2,"c","Number of nurse vacancies",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
[43,"e0","nA",2,"s","Shortage of nurses: Percentage of care not covered","nA","ESIF for Health 2015","A",{"$f":"COUNTIF(L302:BB302,\">0\")","v":1},"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Vacancy rate\nPercentage of care not covered",null,"Health workforce"]
[44,"e0",null,2,"s","Share of foreign-trained doctors","The data relate to foreign-trained doctors working in OECD countries measured in terms of total stocks. The OECD health database also includes data on the annual flows for most of the countries shown here, as well as by country of origin. ","Consolidated","A, B",{"$f":"COUNTIF(L303:BB303,\">0\")","v":2},"Consolidated",{"$f":"COUNTIF(L304:L305,1)","v":1},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[44,"e0",65,2,"c","Mobility of professionals","To be developed, definition covering both inflow and outflow aspects, e.g.:\n(1) The number and percentage of health care professionals emigrating\n(2) The number and percentage of health care professionals immigrating.","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"To be developed, definition covering both inflow and outflow aspects, e.g.:\n(1) The number and percentage of health care professionals emigrating\n(2) The number and percentage of health care professionals immigrating.","Still a lot of methodological and data availability issues to be resolved, as shown by the PROMeTHEUS project","The EU has promoted the freedom of movement of workers, the freedom of establishment and the freedom\nto provide services as the cornerstones of the EU structure. Therefore, professional mobility has been high on the European political agenda in recent years. Health professionals are key players in the provision of\nhealth services, but in the health sector, occupational mobility should never be at the expense of quality and safety of care in any Member State. Thus, the role of mobility of health professionals should be adequately\naddressed and evaluated, from a (public) health perspective.",null,"n.a.","nA","nA","nA","nA"]
[44,"e0",null,2,"c","Share of foreign-trained doctors","The data relate to foreign-trained doctors working in OECD countries measured in terms of total stocks. The OECD health database also includes data on the annual flows for most of the countries shown here, as well as by country of origin. ","Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The data relate to foreign-trained doctors working in OECD countries measured in terms of total stocks. The OECD health database also includes data on the annual flows for most of the countries shown here, as well as by country of origin. "]
[45,"e0",null,2,"s","International migration of nurses","The data relate to foreign-trained nurses working in OECD countries measured in terms of total stocks. The OECD health database also includes data on the annual flows for most of the countries shown here, as well as by country of origin. The data sources in most countries are professional registries or other adminis- trative sources.","Health at a Glance 2015","B",{"$f":"COUNTIF(L306:BB306,\">0\")","v":1},"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"The data relate to foreign-trained nurses working in OECD countries measured in terms of total stocks. The OECD health database also includes data on the annual flows for most of the countries shown here, as well as by country of origin. The data sources in most countries are professional registries or other adminis- trative sources."]
[null,null,null,3,999,"HEALTH CARE RESOURCES: CAPITAL",null,"Consolidated",999,null,null,0]
[46,"i",null,3,"s","Hospital beds","The total number of hospital beds per 100,000 inhabitants. (total number, acute care, psychiatric care, long-term care)","Consolidated","A, B, D, E",{"$f":"COUNTIF(L308:BB308,\">0\")","v":9},"Consolidated",{"$f":"COUNTIF(L309:L322,1)","v":1},0,1,4,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,0,0,0,2,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0]
[46,"i",62,3,"c","Hospital beds","The total number of hospital beds per 100,000 inhabitants. (total number, acute care, psychiatric care, long-term care)","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The total number of hospital beds per 100,000 inhabitants. (total number, acute care, psychiatric care, long-term care)","The total number of hospital beds in a given calendar year by 31 December, per 100,000 inhabitants (end of year population). Total hospital beds are all hospital beds which are regularly maintained and staffed\nand immediately available for the care of admitted patients. Both occupied and unoccupied beds in general hospitals, mental health and substance abuse hospitals and other specialty hospitals are included. Definitions applied in the calculation of this indicator are in line with the ICHA-HP classification of providers of health care of the System of Health Accounts (see references).","Data on health care resources form a major element of public health information as they describe the capacities available for different types of health care provision. The quantity and quality of health care services provided and the division of work established between the different institutions are a subject of\nongoing debate in all countries. Sustainability – continuously providing the necessary monetary and personal resources needed – and meeting the challenges of ageing societies are the primary perspectives used when analysing and using these data.",null,"Eurostat","• Calendar year\n• Country\n• Region (according to ISARE recommendations; see data availability)\n• Type of facility; curative care beds in hospitals, psychiatric care beds in hospitals, long-term care beds (excluding psychiatric) in hospitals\n• Health care sector; public, private (see data availability)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_rs_bds&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_res_esms.htm","http://ec.europa.eu/health/indicators/docs/echi_62.pdf"]
[46,"i",12,3,"c","Acute hospital beds per 1 000 pop",null,"Eckfeldt et al. 2014 (DG-ECFIN)","A",null,"Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",0,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Curative (Eurostat: HBED_CUR) care beds in hospitals (HP.1), excluding psychiatric care beds in hospitals (Eurostat: HBED_PSY), long-term care beds ( HBED_LT), and other beds(HBED_OTH), measured per 1 000 inhabitants."]
[46,"i","nA",3,"c","Hospital beds per 100 000 inhabitants",null,"ESIF for Health 2015","A",null,"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Hospital care"]
[46,"i","nA",3,"c","Acute care hospital beds per 100 000 inhabitants",null,"ESIF for Health 2015","A",null,"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Hospital care capacities"]
[46,"i","nA",3,"c","Psychiatric hospital beds per 100 000 inhabitants",null,"ESIF for Health 2015","A",null,"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Hospital care capacities"]
[46,"i","nA",3,"c","Long-term hospital beds per 100 000 inhabitants",null,"ESIF for Health 2015","A",null,"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Hospital care capacities"]
[46,"i","nA",3,"c","Hospital beds per 1 000 pop",null,"Medeiros & Schwierz 2015 (DG-ECFIN)","A",null,"Medeiros J & Schwierz C (2015) Efficiency estimates of health care systems - European Commission Economic Papers (Vol. 549). Brussels: European Economy.",0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Curative, psychiatric, long-term care and other hospital beds  per 1 000 inhabitants."]
[46,"i",null,3,"c","Hospital beds per 1 000 population",null,"Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Hospital beds are defined as all beds that are regularly maintained and staffed and are immediately available for use. They include beds in general hospitals, mental health hospitals, and other specialty hospitals. Beds in residential long-term care facilities are excluded "]
[46,"i",null,3,"c","Hospital beds by function of health care","curative care beds, psychiatric care beds, long-term care beds, other hospital beds","Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[46,"i",null,3,"c","Number of Acute Care Beds",null,"CIHI In Depth (2014)","D",null,"CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Facility Characteristics",null,"·      Canadian Institute for Health Information"]
[46,"i",null,3,"c","Type of Hospital",null,"CIHI In Depth (2014)","D",null,"CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Facility Characteristics",null,"·      Canadian Institute for Health Information"]
[46,"i",null,3,"c","Hospital beds per 1.000.000 population",null,"Estonia HSPA (2010)","E",null,"WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Efficiency and effectiveness of the health system: technical efficiency"]
[46,"i",20,3,"c","Number of hospital beds (acute, palliative, rehabilitation, Long-term care, dementia) per 100,000 population",null,"Malta - Grech et al. (2015)","E",null,"Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,"Number of hospital beds per 100,000 inhabitants","The total number of hospital beds in a given calendar year by 31 December divided by the end of year population expressed per 100,000 inhabitants. Total hospital beds are all hospital beds which are regularly maintained and staffed and immediately available for the care of admitted patients. Both occupied and unoccupied beds in general hospitals, mental health and substance abuse hospitals and other specialty hospitals are included"]
[46,"i",null,3,"c","Hospital beds per 1 000 population",null,"UK - Berry (2015)","E",null,"Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,"OECD"]
[47,"e2",null,3,"s","Long-term care beds in institutions and hospitals","Number of nursing home and elderly care beds per 100 000 population 65+","Consolidated","B, D",{"$f":"COUNTIF(L323:BB323,\">0\")","v":3},"Consolidated",{"$f":"COUNTIF(L324:L328,1)","v":0},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,2,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[47,"e2",null,3,"c","Long-term care beds in institutions and hospitals","Per 1 000 population aged 65 and over","Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[47,"e2",null,3,"c","Trends in long-term care beds in institutions and in hospitals","Average annual change in beds per 1 000 population aged 65 and over","Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[47,"e2",null,3,"c","Long-Term Care Facility Size",null,"CIHI In Depth (2014)","D",null,"CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Facility Characteristics",null,"·      Canadian Institute for Health Information"]
[47,"e2",null,3,"c","Long-Term Care Facility Location",null,"CIHI In Depth (2014)","D",null,"CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Facility Characteristics",null,"·      Canadian Institute for Health Information"]
[47,"e2","4.6.",3,"c","Long term care for the elderly: # of nursing home and elderly care beds per 100 000 population 65+",null,"EHCI 2015","D",null,"Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"# of nursing home and elderly care beds per 100 000 population 65+",null,null,null,"WHO HfA database, September 2015"]
[48,"e1",107,3,"s","Numbers of palliative care facilities","nA","Netherlands - van den Berg et al. (2015)","E",{"$f":"COUNTIF(L329:BB329,\">0\")","v":1},"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,null,null,"End-of-life care - Accessibility (and availability): palliative care"]
[49,"e0",117,3,"s","Number of high-care hospices with a quality accreditation","nA","Netherlands - van den Berg et al. (2015)","E",{"$f":"COUNTIF(L330:BB330,\">0\")","v":1},"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,null,null,"End-of-life care - Quality: palliative care"]
[50,"e1",null,3,"s","Medical technologies (CT/MRI)","Number of CT/MRI per 100,000 by provider (hopsital, ambulatory health care)","Consolidated","A, B, D, E",{"$f":"COUNTIF(L331:BB331,\">0\")","v":6},"Consolidated",{"$f":"COUNTIF(L332:L340,1)","v":1},0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,2,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,2,0,0,0,0,0,0,0,0,0]
[50,"e1",66,3,"c","Medical technologies (CT/MRI)","Number of CT/MRI per 100,000 by provider (hopsital, ambulatory health care)","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"1) Number of Computer tomography scanners (CT units) per 100,000 inhabitants.\n2) Number of Magnetic resonance imaging units (MRI units) per 100,000 inhabitants.","1) The total number of computer tomography scanners (CT units) in hospitals and ambulatory sector registered by 31 December in a given calendar year, per 100,000 inhabitants (end of year population).\n2) The total number of magnetic resonance imaging units (MRI units) in hospitals and ambulatory sector by 31 December in a given calendar year, per 100,000 inhabitants (end of year population).","The availability of modern medical equipments is an indicator for the delivery of up-to-date health care services. There is no general recommendation which per population ratio for the above listed medical\ntechnologies is regarded optimal. However, a high per population ratio may indicate over treatment (overprovision), e.g. the diagnostic measures are applied without indication-based requirement. Due to the high costs of acquisition and operation of these  techniques a careful, indication-based use is regarded essential.","Per 100,000 inhabitants","Eurostat","• Calendar year\n• Country\n• Region (according to ISARE recommendations; see data availability)\n• Provider (hospital, ambulatory sector),\n• Sector (public, not-for-profit and private hospitals)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_rs_equip&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_res_esms.htm","http://ec.europa.eu/health/indicators/docs/echi_66.pdf"]
[50,"e1","R-10",3,"c","MRI units",null,"JAF Health (DG EMPL)","A",null,"EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Number of magnetic resonance imaging units provided by hospitals and ambulatory health care per 100 000 inhabitants.",null,null,null,"Eurostat (Joint questionnaire with OECD/WHO)"]
[50,"e1","R-11",3,"c","CTS units",null,"JAF Health (DG EMPL)","A",null,"EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Number of computer tomography scanners provided by hospitals and ambulatory health care per 100 000 inhabitants.",null,null,null,"Eurostat (Joint questionnaire with OECD/WHO)"]
[50,"e1",null,3,"c","MRI units per capita","Per million population","Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The data in most countries cover MRI units and CT scanners installed both in hospitals and the ambula- tory sector, but the coverage is more limited in some countries. \nData for most countries marked with an * do not include MRI units and CT scanners installed outside hospitals, leading to an under-estimation. In Australia and Hungary, the data only include MRI units and CT scanners eligible for public reimbursement, also leading to an under-estimation."]
[50,"e1",null,3,"c","CT scanners per capita","Per million population","Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The data in most countries cover MRI units and CT scanners installed both in hospitals and the ambula- tory sector, but the coverage is more limited in some countries. \nData for most countries marked with an * do not include MRI units and CT scanners installed outside hospitals, leading to an under-estimation. In Australia and Hungary, the data only include MRI units and CT scanners eligible for public reimbursement, also leading to an under-estimation."]
[50,"e1","3.5.",3,"c","Access to diagnostics",null,"MoH New Zealand 2016","D",null,"Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"nA",null,"‘Person centred care’"]
[50,"e1",24,3,"c","Availability of diagnostic and therapeutic infrastructure (MRI, CT etc)",null,"Malta - Grech et al. (2015)","E",null,"Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,"1) Number of Computer tomography scanners (CT units) per 100,000 inhabitants.\n2) Number of Magnetic resonance imaging units (MRI units) per 100,000 inhabitants","1) The total number of computer tomography scanners (CT units) in hospitals and ambulatory sector registered by 31 December in a given calendar year, per 100,000 inhabitants (end of year population).\n2) The total number of magnetic resonance imaging units (MRI units) in hospitals and ambulatory sector by 31 December in a given calendar year, per 100,000 inhabitants (end of year population)."]
[50,"e1",null,3,"c","Magnetic resonance imaging units per million population",null,"Portugal HSPA (2010)","E",null,"World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,"Non-financial sustainability"]
[50,"e1",null,3,"c","Computed tomography units per million population",null,"Portugal HSPA (2010)","E",null,"World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,"Non-financial sustainability"]
[51,"e1",null,3,"s","MRI/CT exams","Number of diagnostic exams per 1 000 population","Health at a Glance 2015","B",{"$f":"COUNTIF(L341:BB341,\">0\")","v":1},"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Data are collected for the total number of exams and for the breakdown between hospitals and\nambulatory care providers.\nAn exam is defined as a medical imaging session to study one (or more than one) body part that\nyields one or more views for diagnostic purposes.\nData are collected for Computed Tomography (CT) exams, Magnetic Resonance Imaging (MRI)\nexams, and Positron Emission Tomography (PET) exams.\na) Computed Tomography (CT): CT or CAT scanner is an x-ray machine which combines many\nx-ray images with the aid of a computer to generate cross-sectional views and, if needed,\nthree-dimensional images of the internal organs and structures of the body.\nb) Magnetic Resonance Imaging (MRI): MRI is an imaging technique designed to visualise\ninternal structures of the body using magnetic and electromagnetic fields which induce a\nresonance effect of hydrogen atoms. The electromagnetic emission created by these atoms is\nregistered and processed by a dedicated computer to produce the images of the body\nstructures.\nc) Positron Emission Tomography (PET): PET is a highly specialised imaging technique using\nshort-lived radioactive substances. This technique produces three dimensional images which\nare used mainly for the assessment of cancer spread in a patient's body."]
[null,null,null,3,"ms","Percentage of schools with a health-team","nA","Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
[null,null,null,4,999,"HEALTH CARE ACTIVITIES",null,"Consolidated",999]
[null,null,null,4,999,"HEALTH CARE ACTIVITIES: Care utilization",null,"Consolidated",999]
[52,"i",null,4,"s","Hospital utilization","Total, disaggregated by selected diagnoses. \nHospital in-patient discharges / age-standardized rate of hospitalization / Volume of admissions, selected diagnoses: \nThe number of hospital in-patient discharges from all hospitals during a given calendar year, expressed per 100,000 population,  age-standardized by age group (0-64, 65+), by sex for selected diagnoses (ISHMT code 0000 = ICD-10 codes A00-Z99 excluding V,W,X & Y codes and healthy newborns Z38). \nCalculated and presented by the following 25 categories of the International Shortlist for Hospital Morbidity Tabulation (ISHMT). (Total (All Causes), Infectious and Parasitic Diseases, Neoplasms, Malignant Neoplasm of Colon, Rectum & Anus; Trachea / Bronchus / Lung; Breast; Uterus; Prostate; Diabetes Mellitus, Mental & Behavioural Disorders, Dementia, Mental and Behavioural Disorders due to Alcohol, Mood [Affective] Disorders, Diseases of the Nervous System/Circulatory/Respiratory System; AMI, Cerebrovascular Disease, COPD and Bronchiectasis, Asthma, Diseases of the Digestive System, Alcoholic Liver Disease, Diseases of the Musculoskeletal System & Connective Tissue, Diseases of the Genitourinary System, Injury, Poisoning & Certain Other Consequences of External Causes)\n","Consolidated","A, B, C, D, E",{"$f":"COUNTIF(L345:BB345,\">0\")","v":11},"Consolidated",{"$f":"COUNTIF(L346:L433,1)","v":1},3,0,1,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,1,2,4,0,0,0,1,0,0,1,71,0,0,0,0,0,1,0,0,0,0,0,0]
[52,"i",67,4,"c","Hospital in-patient discharges, selected diagnoses","The number of hospital in-patient discharges from all hospitals during a given calendar year, expressed per 100,000 population, by age group (0-64, 65+), by sex for selected diagnoses (ISHMT code 0000 = ICD-10 codes A00-Z99 excluding V,W,X & Y codes and healthy newborns Z38). \nCalculated and presented by the following 25 categories of the International Shortlist for Hospital Morbidity Tabulation (ISHMT). (Total (All Causes), Infectious and Parasitic Diseases, Neoplasms, Malignant Neoplasm of Colon, Rectum & Anus; Trachea / Bronchus / Lung; Breast; Uterus; Prostate; Diabetes Mellitus, Mental & Behavioural Disorders, Dementia, Mental and Behavioural Disorders due to Alcohol, Mood [Affective] Disorders, Diseases of the Nervous System/Circulatory/Respiratory System; AMI, Cerebrovascular Disease, COPD and Bronchiectasis, Asthma, Diseases of the Digestive System, Alcoholic Liver Disease, Diseases of the Musculoskeletal System & Connective Tissue, Diseases of the Genitourinary System, Injury, Poisoning & Certain Other Consequences of External Causes)\n","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The number of hospital in-patient discharges from all hospitals during a given calendar year, expressed per 100,000 population. Calculated and presented by the following 25 categories of the International Shortlist for Hospital Morbidity Tabulation (ISHMT). (Total (All Causes), Infectious and Parasitic Diseases, Neoplasms, Malignant Neoplasm of Colon, Rectum & Anus; Trachea / Bronchus / Lung; Breast; Uterus; Prostate; Diabetes Mellitus, Mental & Behavioural Disorders, Dementia, Mental and Behavioural Disorders due to Alcohol, Mood [Affective] Disorders, Diseases of the Nervous System/Circulatory/Respiratory System; AMI, Cerebrovascular Disease, COPD and Bronchiectasis, Asthma, Diseases of the Digestive System, Alcoholic Liver Disease, Diseases of the Musculoskeletal System & Connective Tissue, Diseases of the Genitourinary System, Injury, Poisoning & Certain Other Consequences of External Causes)","The indicator is calculated as the total number of hospital in-patient discharges from all hospitals during a given calendar year, expressed per 100,000 inhabitants (end of year population). The definition of hospitals (HP.1) follows the International Classification for Health Accounts– Providers of health care (ICHA-HP) of the System of Health Accounts.","Hospital in-patient discharges are the most commonly used measure of the utilization of hospital services. Indicators based on hospital discharges from particular diseases can be used as an estimate of the burden\nof these diseases on health services. Besides, this indicator is often used as a measure for the occurrence of certain diseases in the population and as an indicator of the quality of primary health care (especially with regard to the care for diabetes, asthma and COPD). Finally, this indicator is often used in assessments of\ncosts and efficiency.",null,"Eurostat","• Calendar year\n• Country\n• Region (according to ISARE recommendations; see data availability)\n• Age groups: 0-64 and 65+ Age group exceptions:\n• dementia: no disaggregation according to age (not relevant for population below 65)\n• asthma: 0-14 and 15+ (similar to asthma incidence indicator: nr 26; hospital admissions for asthma in particular relevant in children)\n• injury and poisoning & certain other consequences of external causes: 0-14, 15-24, 25-64, and 65+ (similar to injury incidence indicators: nr 29, 30 and 31; injuries are an important cause of burden of disease particularly in children and young adults).","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_co_disch2&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_act_esms.htm","http://ec.europa.eu/health/indicators/docs/echi_67.pdf"]
[52,"i","OC3",4,"c","Hip fracture hospital admissions","Hip fracture admissions per 10,000 inhabitants aged 35 and older. \nNumerator: Admissions of patients aged 35 and older, with a principal diagnosis of hip fracture. Pathological fractures and accidents are excluded.\nDenominator: Population aged 35 and older. ","ECHO","A",null,"ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Hip fracture admissions per 10,000 inhabitants aged 35 and older. ","Numerator: Admissions of patients aged 35 and older, with a principal diagnosis of hip fracture. Pathological fractures and accidents are excluded.\nDenominator: Population aged 35 and older. ","Hip fracture is a relatively common cause of hospital admission. Osteoporosis associated with ageing is the condition most frequently related to hip fracture. Hip fracture requires hospitalization and, in the vast majority of cases, surgical repair.\n\nSystematic variation in hip fracture data is very low across territories, as it happens to colectomy in colorectal cancer and hysterectomy in uterus cancer. Accordingly, these values represent the desired behaviour of healthcare providers if they were to perfectly match population’s need.\n\nWithin the ECHO framework, hip fracture is used as calibrator of the variation observed in orthopaedic procedures.",null,"http://www.echo-health.eu/handbook/ORT_HFRA.html"]
[52,"i","CV1",4,"c","Coronary Ischaemic Disease admission (CID) ",null,"ECHO","A",null,"ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Unplanned angina and/or acute myocardial infarction (AMI) admissions per 10,000 inhabitants aged 18 and older.","Numerator: Unplanned discharges of patients aged 18 and older with a primary diagnosis code of AMI or angina.\nDenominator: Population aged 18 and older. ","Coronary ischaemic disease (CID) is a common cause of hospital admission. In geographic studies on practice variation CID admissions are frequently proposed as a proxy measure of the burden of cardiovascular disease at the population level.\n\nIn ECHO, CID admissions are used in the study of revascularization procedures as both a risk adjuster and a calibrator; in the former case the CID admission rates are used to stratify or standardize revascularization rates at the population level, and in the latter case CID admissions, given their low systematic variation, are used to provide a measure of the expected systematic variation in revascularization rates. ",null,"http://www.echo-health.eu/handbook/CV_CID.html"]
[52,"i","CV2",4,"c","Acute Myocardial Infarction admission (AMI) ",null,"ECHO","A",null,"ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Urgent acute myocardial infarction (AMI) admissions per 10,000 inhabitants aged 18 and older.","Numerator: Urgent discharges aged 18 and older with a primary diagnosis code of AMI.\nDenominator: Population aged 18 and older. ","Acute myocardial infarction (AMI) is a common cause of hospital admission. In geographic studies on practice variation AMI admissions are widely interpreted as a proxy of the burden of cardiovascular disease at population the level. Since AMI always requires an admission, AMI admissions tend to serve as a better proxy than CID.\n\nAs with CID, AMI admissions are used in the study of revascularization procedures as a risk adjuster or as a calibrator. In the former case revascularization rates at the population level are stratified or standardized using AMI admission rates, while in the latter case AMI admissions, which have very little systematic variation, are used to provide a measure of the expected systematic variation in revascularization rates. ",null,"http://www.echo-health.eu/handbook/CV_AMI.html"]
[52,"i","nA",4,"c","Standardized rate of hospitalization","Number of hospital admissions per 100 000 inhabitants by hospital category (acute, etc.)","ESIF for Health 2015","A",null,"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Number of hospital admissions per 100 000 inhabitants",null,"Hospital care"]
[52,"i",null,4,"c","Hospital discharges for circulatory diseases","Per 1 000 population","Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Discharge is defined as the release of a patient who has stayed at least one night in hospital. It includes deaths in hospital following inpatient care. Same-day discharges are usually excluded"]
[52,"i",null,4,"c","Hospital discharges for cancers","Per 1 000 population","Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[52,"i",32,4,"c","Discharges per 100 population",null,"WHO Core Health 2015","C",null,"World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[52,"i",null,4,"c","Differential access to hospital procedures",null,"AIHW. (2014)","D",null,"AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The number of hospitalisations involving selected procedures per 1,000 population for selected population groups. Data are presented as a number per 1,000 population (age-standardised)."]
[52,"i",null,4,"c","Hospitalisation for injury and poisoning",null,"AIHW. (2014)","D",null,"AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The number of hospitalisations with a principal diagnosis of injury or poisoning. This is presented as a number per 1,000 people (age-standardised)."]
[52,"i",null,4,"c","Number of Acute Care Hospital Stays",null,"CIHI In Depth (2014)","D",null,"CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Facility Characteristics",null,"·      Canadian Institute for Health Information"]
[52,"i",null,4,"c","Self-Injury Hospitalizations",null,"CIHI In Depth (2014)","D",null,"CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Age-standardized rate of hospitalization in a general hospital due to self-injury, per 100,000 population.","This indicator examines the age-standardized rate of hospitalization in a general hospital due to self-injury. It is calculated by dividing the total number of discharges for self-injury for patients age 15 and older by the mid-year population age 15 and older.","This indicator looks at how many patients were admitted to the hospital because of a deliberate bodily injury. High rates may reflect a failure to prevent self-injuries severe enough to require hospitalization.\nLower is better. It means fewer hospitalizations for self-injury.",null,"·      Canadian Institute for Health Information",null,null,"http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=1114197"]
[52,"i",null,4,"c","Hospitalized Heart Attacks (AMI)",null,"CIHI In Depth (2014)","D",null,"CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"This indicator measures the age-standardized rate of new acute myocardial infarction (AMI) events admitted to an acute care hospital for the population age 18 and older.\n\nA new event is defined as a first-ever hospitalization for an AMI or a recurrent hospitalized AMI occurring more than 28 days after the admission for the previous event in the reference period.","This indicator examines the age-standardized rate of new heart attacks admitted to an acute care hospital. It is calculated by dividing the total number of new heart attacks for persons age 20 and older by the mid-year population age 20 and older and multiplying by 100,000.","Acute myocardial infarction (AMI), or heart attack, is one of the leading causes of morbidity and death. This indicator looks at the age-standardized rate of new heart attacks admitted to an acute care hospital for the population age 20 and older. Although heart attacks admitted to a hospital do not reflect all heart attacks in the community, this information provides a useful and timely estimate of the disease occurrence in the population.\nLower is better. Low rates mean fewer hospitalized heart attacks (acute myocardial infarctions), suggesting that fewer heart attacks occurred in the community.",null,"·      Canadian Institute for Health Information",null,null,"http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=5111832"]
[52,"i",null,4,"c","Hospitalized Strokes",null,"CIHI In Depth (2014)","D",null,"CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"This indicator measures the age-standardized rate of new stroke events admitted to an acute care hospital for the Canadian population age 18 and older.\nA new event is defined as a first-ever hospitalization for stroke or a recurrent hospitalized stroke occurring more than 28 days after the admission for the previous event in the reference period. ","This indicator examines the age-standardized rate of new strokes admitted to an acute care hospital. It is calculated by dividing the total number of new strokes for persons age 20 and older by the mid-year population age 20 and older and multiplying by 100,000.","Stroke is one of the leading causes of long-term disability and death. This indicator looks at the age-standardized rate of new strokes admitted to an acute care hospital for the Canadian population age 20 and older. Although strokes admitted to a hospital do not reflect all strokes in the community, this information provides a useful and timely estimate of the disease occurrence in the population.\nLower is better. Low rates mean fewer hospitalized strokes, suggesting that fewer strokes occurred in the community.",null,"·      Canadian Institute for Health Information",null,null,"http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=5111834"]
[52,"i","2.8.",4,"c","Admission rates – ASH",null,"MoH New Zealand 2016","D",null,"Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"nA",null,"‘Using health resources effectively’ "]
[52,"i",null,4,"c","Hospital discharges per 1,000 population",null,"Hungary HSPA (2014)","E",null,"Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"technical efficiency: However, the number of hospital discharges is not the best measure of outputs for several reasons. First, it includes not only the acute but also long-term care cases. Second, it does not take into account how complex or resource-intensive patients were cared for in the hospital, i.e. it does not measure the case-mix."]
[52,"i",null,4,"c","Myocardial Infarction (MI): Volume of admissions",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,"nA","nA","frequencies/volumes",null,null,null,null,null,"http://95.110.213.190/PNEed14_EN/risultati/protocolli/pro_122.pdf"]
[52,"i",null,4,"c","PCI for conditions other than myocardial infarction (MI)",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,"nA","nA","frequencies/volumes",null,null,null,null,null,"http://95.110.213.190/PNEed14_EN/risultati/protocolli/pro_13.pdf"]
[52,"i",null,4,"c","STEMI: Volume of admissions",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,"nA","nA","frequencies/volumes",null,null,null,null,null,"http://95.110.213.190/PNEed14_EN/risultati/protocolli/pro_98.pdf"]
[52,"i",null,4,"c","N-STEMI: Volume of admissions",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,"nA","nA","frequencies/volumes",null,null,null,null,null,"http://95.110.213.190/PNEed14_EN/risultati/protocolli/pro_99.pdf"]
[52,"i",null,4,"c","MI unspecified site: Volume of admissions",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"frequencies/volumes"]
[52,"i",null,4,"c","PCI: Volume of admissions with at least one PCI",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,"nA","nA","frequencies/volumes",null,null,null,null,null,"http://95.110.213.190/PNEed14_EN/risultati/protocolli/pro_113.pdf"]
[52,"i",null,4,"c","aortic abdominal aneurysm unruptured: Volume of admissions",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"frequencies/volumes"]
[52,"i",null,4,"c","Aortic abdominal aneurysm ruptured: Volume of admissions",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"frequencies/volumes"]
[52,"i",null,4,"c","Coronary artery bypass graft (CABG): Volume of admissions",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,"nA","nA","frequencies/volumes",null,null,null,null,null,"http://95.110.213.190/PNEed14_EN/risultati/protocolli/pro_115.pdf"]
[52,"i",null,4,"c","Valvuloplasty: Volume of admissions",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,"nA","nA","frequencies/volumes",null,null,null,null,null,"http://95.110.213.190/PNEed14_EN/risultati/protocolli/pro_121.pdf"]
[52,"i",null,4,"c","Carotid revascularization: Volume of admissions",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"frequencies/volumes"]
[52,"i",null,4,"c","Carotid revascularization: stenting and angioplasty",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"frequencies/volumes"]
[52,"i",null,4,"c","Carotid revascularization: endarterectomy",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"frequencies/volumes"]
[52,"i",null,4,"c","Heart Failure: Volume of admissions",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,"nA","nA","frequencies/volumes",null,null,null,null,null,"http://95.110.213.190/PNEed14_EN/risultati/protocolli/pro_130.pdf"]
[52,"i",null,4,"c","Lower extremity revascularization: Volume of admissions",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"frequencies/volumes"]
[52,"i",null,4,"c","Ischemic stroke: Volume of admissions",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"frequencies/volumes"]
[52,"i",null,4,"c","Subarachnoid haemorrhage: Volume of admissions",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"frequencies/volumes"]
[52,"i",null,4,"c","Unruptured brain aneurysm : Volume of admissions",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"frequencies/volumes"]
[52,"i",null,4,"c","Ruptured brain aneurysm : Volume of admissions",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"frequencies/volumes"]
[52,"i",null,4,"c","COPD: Volume of admissions",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"frequencies/volumes"]
[52,"i",null,4,"c","Cholecystectomy : Volume of admissions",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"frequencies/volumes"]
[52,"i",null,4,"c","Laparoscopic cholecystectomy  : Volume of admissions",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"frequencies/volumes"]
[52,"i",null,4,"c","Cholecystectomy  via laparotomy: Volume of admissions",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"frequencies/volumes"]
[52,"i",null,4,"c","Laparoscopic cholecystectomy in ordinary admission: Volume of admissions",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"frequencies/volumes"]
[52,"i",null,4,"c","Deliveries: Volume of admissions",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"frequencies/volumes"]
[52,"i",null,4,"c","Hip fracture: Volume of admissions",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"frequencies/volumes"]
[52,"i",null,4,"c","Tibia and Fibula Fracture: Volume of admissions",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"frequencies/volumes"]
[52,"i",null,4,"c","Knee arthroscopy: Volume of admissions",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"frequencies/volumes"]
[52,"i",null,4,"c","Surgical intervention for cancer of the lung: Volume of admissions",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"frequencies/volumes"]
[52,"i",null,4,"c","Surgical intervention for cancer of the stomach: Volume of admissions",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"frequencies/volumes"]
[52,"i",null,4,"c","Surgical intervention for cancer of the pancreas: Volume of admissions",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"frequencies/volumes"]
[52,"i",null,4,"c","Surgical intervention for cancer of the colon: Volume of admissions",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"frequencies/volumes"]
[52,"i",null,4,"c","Surgical intervention for cancer of the esophagus : Volume of admissions",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"frequencies/volumes"]
[52,"i",null,4,"c","Surgical intervention for cancer of the liver: Volume of admissions",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"frequencies/volumes"]
[52,"i",null,4,"c","Surgical intervention for cancer of the breast: Volume of admissions",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"frequencies/volumes"]
[52,"i",null,4,"c","Surgical intervention for cancer of the gallbladder: Volume of admissions",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"frequencies/volumes"]
[52,"i",null,4,"c","Surgical intervention for cancer of the prostate: Volume of admissions",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"frequencies/volumes"]
[52,"i",null,4,"c","Surgical intervention for cancer of the kidney: Volume of admissions",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"frequencies/volumes"]
[52,"i",null,4,"c","Surgical intervention for cancer of the bladder: Volume of admissions",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"frequencies/volumes"]
[52,"i",null,4,"c","Surgical intervention for cancer of the rectum: volume of interventions",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"frequencies/volumes"]
[52,"i",null,4,"c","Surgical intervention for cancer of the thyroid : Volume of admissions",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"frequencies/volumes"]
[52,"i",null,4,"c","Surgical intervention for cancer of the uterus: Volume of admissions",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"frequencies/volumes"]
[52,"i",null,4,"c","Surgical intervention for cancer of the brain: volume of craniotomy",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"frequencies/volumes"]
[52,"i",null,4,"c","Tonsillectomy: Volume of admissions",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"frequencies/volumes"]
[52,"i",null,4,"c","Hysterectomy: Volume of admissions",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"frequencies/volumes"]
[52,"i",null,4,"c","Prostatectomy: Volume of admissions",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"frequencies/volumes"]
[52,"i",null,4,"c","AIDS: Volume of admissions",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"frequencies/volumes"]
[52,"i",null,4,"c","Hospitalization for influenza",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,"Numerator\n: ordinary admission\ns\nwith discharge \nbetween 1 January 2\n008 and 30 November 2013.\nAge: \n65\n+ years\nMain diagnosis (ICD 9CM codes\n) : \n487.0, 487.1,\n487.8\nExcluded\n: \n\nPatients transferred from other hospital \n\nDRG \n370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, \n387, 388, 389, 390\n\nPatients non\n-\nresident in Italy\nDenominator\n: \nresidents aged \n65\nor over \n(\nresident population 1 January \n2013)","hospitalizations",null,null,null,null,null,"http://95.110.213.190/PNEed14_EN/risultati/protocolli/pro_44.pdf"]
[52,"i",null,4,"c","Hospitalization for pediatric gastroenteritis",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,"H\nospitalization \nrate \nfor \npediatric gastroenteritis \nby\narea\nof residence","Numerator\n: ordinary admission\ns\nwith discharge \nbetween 1 January 2\n008 and 30 November 2013.\nAge: \n0\n-\n17\nyears\nMain \ndiagnosis (ICD 9CM codes\n) : \n008.6_, 008.8, 009._, 5589\nExcluded\n: \n\nPatients transferred from other hospital \n\nDRG \n370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, \n387, 388, 389, 390\n\nPatients non\n-\nresident in Italy\nDenominator\n: \nresidents aged \n0\n-\n17\nyears\n(\nresident population 1 January \n2013)","hospitalizations",null,null,null,null,null,"http://95.110.213.190/PNEed14_EN/risultati/protocolli/pro_45.pdf"]
[52,"i",null,4,"c","Hospitalization for Asthma pediatric",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"hospitalizations"]
[52,"i",null,4,"c","Hospitalization for Asthma in adults",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"hospitalizations"]
[52,"i",null,4,"c","Hospitalization for Asthma in the elderly",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"hospitalizations"]
[52,"i",null,4,"c","Hospitalization for uncontrolled diabetes  (without complications)",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"hospitalizations"]
[52,"i",null,4,"c","Hospitalization for short-term complications of diabetes",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"hospitalizations"]
[52,"i",null,4,"c","Hospitalization for long-term complications of diabetes",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"hospitalizations"]
[52,"i",null,4,"c","Hospitalization for lower-extremity amputation in diabetic patients",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"hospitalizations"]
[52,"i",null,4,"c","Hospitalization for COPD",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"hospitalizations"]
[52,"i",null,4,"c","Hospitalization for urinary tract infections",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"hospitalizations"]
[52,"i",null,4,"c","Hospitalization for Hypertension",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"hospitalizations"]
[52,"i",null,4,"c","Hospitalization for heart failure",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"hospitalizations",null,null,null,null,null,"http://95.110.213.190/PNEed14_EN/risultati/protocolli/pro_59.pdf"]
[52,"i",null,4,"c","Hospitalization for angina without procedure",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"hospitalizations",null,null,null,null,null,"http://95.110.213.190/PNEed14_EN/risultati/protocolli/pro_60.pdf"]
[52,"i",null,4,"c","Hospitalization for short and long-term complications of diabetes",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"hospitalizations"]
[52,"i",null,4,"c","Hospitalization for Cholecystectomy  in patients with uncomplicated cholelithiasis ",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"hospitalizations"]
[52,"i",null,4,"c","Hospitalization for intervention of tonsillectomy",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"hospitalizations"]
[52,"i",null,4,"c","Hospitalization for Vein stripping surgery",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"hospitalizations"]
[52,"i",null,4,"c","Hospitalization for knee replacement surgery",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"hospitalizations"]
[52,"i",null,4,"c","Hospitalization for PCI",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,"Numerator\n: \nplanned \nordinary admission\ns\nand day\n-\nhospital \nwith discharge \nbetween 1 January 2\n008 \nand 30 November 2013.\nAge: 18+ years\nMain \nand secondary diagnosis \n(ICD 9 CM code\ns\n): \n36.01, 36.02, 36.06, 36.07, 00.66\nExcluded\n: \n\nPatients transferred from other hospital \nor from the same hospital but with other type of \nadmission\n\nMDC \n14 and\n1\n5\n\nPatients non\n-\nresident in Italy\nDenominator\n: \nresidents aged 18 or over \n(\nresident population 1 January \n2013)","hospitalizations",null,null,null,null,null,"http://95.110.213.190/PNEed14_EN/risultati/protocolli/pro_233.pdf"]
[52,"i",null,4,"e ","Planned admission for  transurethral prostatectomy for benign prostatic hyperplasia",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"hospitalizations"]
[52,"i",null,4,"e ","Planned admission for intervention of hysterectomy",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"hospitalizations"]
[52,"i",null,4,"c","Hospitalization for hip fracture in elderly patients",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"hospitalizations"]
[52,"i",null,4,"c","Vaginal delivery:admissions during puerperium",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"mortality-procedures"]
[52,"i",null,4,"c","Inpatient activity",null,"UK - Bevan et al. (2014)","E",null,"Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,"Inpatient admissions (spells) per 1,000.\nAdmissions are ordinary inpatient admissions (elective and nonelective), excluding day-cases, regular attenders, maternity and births, mental health"]
[53,"e1",null,4,"s","Crude productivity by health care professional type","Inpatient admissions per hospital doctor/nurse","Consolidated","E",{"$f":"COUNTIF(L434:BB434,\">0\")","v":1},"Consolidated",{"$f":"COUNTIF(L435:L436,1)","v":0},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0]
[53,"e1",null,4,"c","Crude productivity, doctors","Inpatient admissions per hospital doctor","UK - Bevan et al. (2014)","E",null,"Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,"Inpatient admissions per hospital doctor"]
[53,"e1",null,4,"c","Crude productivity, nurses","Inpatient admissions per nurse","UK - Bevan et al. (2014)","E",null,"Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,"Inpatient admissions per nurse"]
[54,"i",null,4,"s","Hospital day-cases, total and selected diagnoses","Hospital day cases total and for selected diagnoses (ISHMT code 0000 = ICD-10 codes A00-Z99 excluding V,W,X & Y codes and healthy newborns Z38), per 100,000 inhabitants: total population, by age group (0-64, 65+), by sex\n","Consolidated","A, E",{"$f":"COUNTIF(L437:BB437,\">0\")","v":9},"Consolidated",{"$f":"COUNTIF(L438:L450,1)","v":2},0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,3,1,1,1,2,0,1,0,0,0,0,0,0]
[54,"i",68,4,"c","Hospital day-cases, selected diagnoses","Hospital day cases, for selected diagnoses (ISHMT code 0000 = ICD-10 codes A00-Z99 excluding V,W,X & Y codes and healthy newborns Z38), per 100,000 inhabitants: total population, by age group (0-64, 65+), by sex\n","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The number of hospital day-cases from all hospitals during the given calendar year, expressed per 100,000 population. Calculated and presented by the following 25 categories of the International Shortlist for Hospital Morbidity Tabulation (ISHMT).","The indicator is calculated as the total number of hospital day-cases from all hospitals during a given calendar year, expressed per 100,000 inhabitants. The definition of hospitals (HP.1) follows the International Classification for Health Accounts– Providers of health care (ICHA-HP) of the System of Health Accounts. For definitions of day-cases see remarks.","Indicators based on hospital day-cases for particular diseases provide information on the burden of these\ndiseases on health services, complementing the information on hospital discharges. Besides, hospital daycases give information on the situation and evolution of these modes of production in health care sector. The\nindicator is also used in assessment of quality of care, costs and efficiency.","Eurostat",null,"• Calendar year\n• Country\n• Region (according to ISARE recommendations; see data availability)\n• Age groups: 0-64 and 65+\n• Age group exceptions:\n- dementia: no disaggregation according to age (not relevant for population below 65)\n- asthma: 0-14 and 15+ (similar to asthma incidence indicator: nr 26; hospital admissions for asthma in particular relevant in children)\n• injury and poisoning & certain other consequences of external causes: 0-14, 15-24, 25-64, and 65+ (similar to injury incidence indicators: nr 29, 30 and 31; injuries are an important cause of burden of disease particularly in children and young adults).","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_co_disch4&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_act_esms.htm","http://ec.europa.eu/health/indicators/docs/echi_68.pdf"]
[54,"i",69,4,"c","Hospital day-cases as percentage of total patient population (in-patients & day- cases), selected diagnoses","Hospital day cases, for selected diagnose (ISHMT code 0000 = ICD-10 codes A00-Z99 excluding V,W,X & Y codes and healthy newborns Z38), divided by the sum of number of in- patient discharges and the number of day cases for the same diagnosis groups: total population, by age group (0-64, 65+), by sex.\n","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Hospital day-cases, for specific ICD-10 diagnosis groups, divided by the sum of number of in-patient discharges and the number of day-cases for the same diagnosis group. Calculated and presented for the following 25 categories of the International Shortlist for Hospital Morbidity Tabulation (ISHMT).","The indicator is calculated as the total number of hospital day-cases from all hospitals during the given calendar year, divided by the sum of the number of hospital in-patient discharges from all hospitals and the number of hospital day-cases from all hospitals, for each of the diagnosis groups, during the given calendar year. The definition of hospitals (HP.1) follows the International Classification for Health Accounts– Providers of health care (ICHA-HP) of the System of Health Accounts.\nFor the definition of a day case, an in-patient and a (hospital) discharge see remarks for indicators 67. Hospital in-patient discharges and 68. Hospital day-cases.\n","Hospital day-cases as percentage of total patient population provides information on the situation and\nevolution of this mode of production in health care sector. By combining the information on hospital inpatient discharges and day cases, it provides extra insight in issues of quality of care, costs and efficiency.","Eurostat",null,"• Calendar year\n• Country\n• Region (according to ISARE recommendations; see data availability)\n• Age groups: 0-64 and 65+ Age group exceptions:\n• dementia: no disaggregation according to age (not relevant for population below 65)\n• asthma: 0-14 and 15+ (similar to asthma incidence indicator: nr 26; hospital admissions for asthma in particular relevant in children)\n• injury and poisoning & certain other consequences of external causes: 0-14, 15-24, 25-64, and 65+ (similar to injury incidence indicators: nr 29, 30 and 31; injuries are an important cause of burden of disease particularly in children and young adults).","http://ec.europa.eu/eurostat/web/health/health-care/data/database","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_act_esms.htm","http://ec.europa.eu/health/indicators/docs/echi_69.pdf"]
[54,"i",15,4,"c","Hospital day cases as % of total hospital discharges",null,"Eckfeldt et al. 2014 (DG-ECFIN)","A",null,"Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",0,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Hospital discharges for all diagnoses (ICD 10: All causes of diseases (A00-Z99) excluding V00-Y98); Day cases: Day care comprises patients that are formally admitted for receiving health care being discharge on the day of admission (Eurostat: hlth_co_disch3). An episode of care for a patient who stays overnight is classified as an in-patient case (Eurostat: hlth_co_disch1)."]
[54,"i","E-1",4,"c","One-day surgical admissions (% of surgical admissions)",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Efficiency of care"]
[54,"i",null,4,"c","Cholecystectomy  in ordinary admission/day surgery: proportion of laparoscopic cholecystectomy",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"mortality-procedures"]
[54,"i",null,4,"c","Laparoscopic cholecystectomy: proportion of day-surgery admissions",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"mortality-procedures"]
[54,"i",null,4,"c","Laparoscopic cholecystectomy in  day surgery: Volume of admissions",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"frequencies/volumes"]
[54,"i",40,4,"c","Day case discharges as a % of total discharges",null,"Malta - Grech et al. (2015)","E",null,"Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,"Hospital day-cases, for specific ICD-10 diagnosis groups, divided by the sum of number of inpatient discharges and the number of day-cases for the same diagnosis group","The indicator is calculated as the total number of hospital day-cases from all hospitals during the given calendar year, divided by the sum of the number of hospital in-patient discharges from all hospitals and the number of hospital day-cases from all hospitals, for each of the diagnosis groups, during the given calendar year"]
[54,"i",140,4,"c","Productivity in Dutch hospital care","Not clearly defined - consists partly of the following indicators: \n* Dutch hospital admissions into day-patient and inpatient care; increasing proportions of hospital interventions were delivered in daypatient attendances; \n* Hospital size","Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,"Not clearly defined - consists partly of the following indicators: \n* Dutch hospital admissions into day-patient and inpatient care; increasing proportions of hospital interventions were delivered in daypatient attendances; \n* Hospital size",null,"Health expenditure and efficiency: efficiency. \nthe same number of admissions could be carried out in 2009 at lower cost than in 2003. The trend was largely attributable to organic growth (general technological development) in all hospitals. Because the study did not assess quality of care, it is unclear whether the additional production resulted in additional health gains."]
[54,"i",null,4,"c","Percent of selected procedures performed on a day surgery basis",null,"Portugal HSPA (2010)","E",null,"World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,"check definition",null,"Health system efficiency"]
[54,"i",57,4,"c","Uterine Prolapse – Frequency of Day-case Surgery",null,"Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[54,"i",144,4,"c","Inguinal Hernia – Percentage of Day-case Operations",null,"Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,"Percentage of day-case operations for inguinal hernia",null,"Day-case surgery, a common approach, is less resource-intensive than inpatient care. The purpose of this indicator is to identify variations in resource utilisation."]
[54,"i",null,4,"c","Day-cases",null,"UK - Bevan et al. (2014)","E",null,"Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,"Day-cases per 1,000. \nA patient admitted electively during the course of a day with the intention of receiving care who does not\nrequire the use of a hospital bed overnight and who returns home as scheduled. If this original intention is not fulfilled and the patient stays overnight, such a patient should be counted as an ordinary admission."]
[54,"i",null,4,"c999","Hospital day-cases as percentage of total patient population (in-patients & day- cases), selected diagnoses","Hospital day cases, for selected diagnose (ISHMT code 0000 = ICD-10 codes A00-Z99 excluding V,W,X & Y codes and healthy newborns Z38), divided by the sum of number of in- patient discharges and the number of day cases for the same diagnosis groups: total population, by age group (0-64, 65+), by sex.\n","Consolidated",999,null,null,0]
[55,"i",null,4,"s","Average length of stay (ALOS), total and selected diagnoses","Total population age-standardized, for selected diagnoses; by type of care (acute, mental and rehabilitation hospitals) disaggregated by age group (0-64, 65+), by sex.\nIn-patient average length of stay (in days) , for selected diagnose (ISHMT code 0000 = ICD-10 codes A00-Z99 excluding V,W,X & Y codes and healthy newborns Z38, e.g. cancers, AMI, normal delivery, ). \nAverage length of stay (ALOS) is computed by dividing the total number of in-patient hospital days , in all hospitals, counted from the date of admission to the date of discharge by the total number of discharges (including deaths) in all hospitals during a given year. A hospital day (or bed-day or in-patient day) is a day, during which a person admitted as an in-patient, is confined to a bed and stays overnight in a hospital.\nDay-cases (patients formally admitted for a medical procedure or surgery in the morning and discharged before the evening) are excluded. Patients admitted with the intention of discharge on the same day, but who subsequently stay in hospital overnight, are included.","Consolidated","A, B, C, D, E",{"$f":"COUNTIF(L452:BB452,\">0\")","v":16},"Consolidated",{"$f":"COUNTIF(L453:L479,1)","v":1},0,1,2,0,0,0,0,0,0,0,0,0,0,0,1,3,7,0,0,1,0,3,0,0,0,1,1,1,1,0,1,1,1,0,0,0,0,1,0,0,0,0]
[55,"i",70,4,"c","Average length of stay (ALOS), limited diagnoses","In-patient average length of stay (in days) , for selected diagnose (ISHMT code 0000 = ICD-10 codes A00-Z99 excluding V,W,X & Y codes and healthy newborns Z38): total population, by age group (0-64, 65+), by sex\n","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The average length of stay (ALOS) in days in a hospital per discharged in-patient, i.e. average duration of a single episode of hospitalization. Calculated and presented by the following 25 categories of the International Shortlist for Hospital Morbidity Tabulation (ISHMT)","Average length of stay (ALOS) is computed by dividing the total number of in-patient hospital days , in all hospitals, counted from the date of admission to the date of discharge by the total number of discharges (including deaths) in all hospitals during a given year. A hospital day (or bed-day or in-patient day) is a day, during which a person admitted as an in-patient, is confined to a bed and stays overnight in a hospital.\nDay-cases (patients formally admitted for a medical procedure or surgery in the morning and discharged before the evening) are excluded. Patients admitted with the intention of discharge on the same day, but who subsequently stay in hospital overnight, are included.","Average length of stay (ALOS) is used in assessment of quality of care, costs and efficiency. The indicator is often used for health planning purposes. But it has to be pointed out that the type of reimbursement system or health insurance plan in a country can play a significant role in the patient length of stay in hospitals.","Eurostat",null,"• Calendar year\n• Country\n• Region (according to ISARE recommendations; see data availability)\n• Age groups: 0-64 and 65+ Age group exceptions:\n• dementia: no disaggregation according to age (not relevant for population below 65)\n• asthma: 0-14 and 15+ (similar to asthma incidence indicator: nr 26; hospital admissions for asthma in particular relevant in children)\n• injury and poisoning & certain other consequences of external causes: 0-14, 15-24, 25-64, and 65+ (similar to injury incidence indicators: nr 29, 30 and 31; injuries are an important cause of burden of disease particularly in children and young adults).","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_co_disch&lang=en","http://epp.eurostat.ec.europa.eu/cache/ITY_SDDS/EN/hlth_care_esms.htm ","nA"]
[55,"i",14,4,"c","Average acute care length of stay (ALOS) in days","Average length of stay in curative care beds is calculated by dividing the number of days stayed (from the date of admission in an hospital or other in-patient institution) by the number of discharges during the year. It includes deaths in hospitals, but excludes same-day separations.","Eckfeldt et al. 2014 (DG-ECFIN)","A",null,"Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",0,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Average length of stay in curative care beds is calculated by dividing the number of days stayed (from the date of admission in an hospital or other in-patient institution) by the number of discharges during the year. It includes deaths in hospitals, but excludes same-day separations."]
[55,"i","nA",4,"c","In-patient average length of stay in days, all diagnosis",null,"ESIF for Health 2015","A",null,"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Average duration in days of a single episode of hospitalization in a hospital per discharged in-patient",null,"Hospital care"]
[55,"i","nA",4,"c","In-patient average length of stay in days, for individual diagnosis groups",null,"ESIF for Health 2015","A",null,"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Hospital care"]
[55,"i",null,4,"c","Average Length of Stay for particular conditions",null,"Smith et al. (2016)","A",null,"Smith PC, Cylus J & Papanicolas I (2016) Efficiency book, European Observatory …",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"As the name suggests, this measure provides information on the number of days per inpatient stay, on average. \nAverage length of stay in hospitals can be used both as a general measure (to cover all conditions), and by particular condition/treatment (e.g. average length of stay for hip replacement). Average length of stay in hospitals as an indicator of efficiency relies on the assumption that with all other things being equal, a shorter hospital stay will imply reduced costs as the patient moves out of the expensive inpatient care setting. ",null,"What does it tell you, and what does it not tell you?\n\nAverage length of stay for particular conditions can help to highlight variations in resource use across providers. However, in most cases it is not clear what is an ideal length of time for the average length of stay to be. It is commonly assumed that lower length of stay is more efficient, as a shorter stay implies reduced costs, however this may not always hold true for a number of reasons, such as:\n\n• Even within the same condition, cases are different in terms of their severity and the intensity of treatment. For example, it is likely that an older, frailer patient will need to stay in the hospital longer than a younger healthier patient who underwent the same treatment. \n• Shorter length of stay may be inefficient in the long run. While discharging patients earlier may appear efficient in the short term but cutting costs, it may result in increased probability of complications, or slower recovery, which can cost more in the long term either through expensive readmissions or accumulated outpatient services. \n• Hospital costs are not the same across all days of an inpatient stay. It is likely that costs in the initial days of the stay are more expensive, as these are the days where diagnostic tests and/or interventions are likely to occur. Later days may entail necessary bed rest and continuing medications, which will be cheaper. \n\nWhat should you next if you find variation?\n\nIf providers, or indeed countries, have different average length of stay, for particular conditions or overall, it is important to find out which of these explanations may apply. \n\nDifferences in length of stay across providers may reflect differences in patient characteristics such as age, severity of treatment or other factors. It is thus important to look at these characteristics before concluding that higher length of stay is inefficient.  However, longer length of stay can also reflect inefficiencies, for example it may be linked to administrative delays (such as, delays in scheduling tests, coordinating care across providers, performing a treatment). \n\nTo explore variation in average length of stay across countries it may be useful to explore differences in health system structures and definitions. For example, care may be structured differently across countries such that rehabilitation is performed in hospitals in some countries, while in other countries it occurs in rehabilitation facilities. Indeed, it may also be that different countries employ different definitions for what they consider to be ‘hospitals’ and thus do not record the same information for this indicator. \n\nOther structural factors that may be important to consider are payment systems or targets. Different payment systems put in place to reimburse hospital stays, such as budgets, per-diem payments or DRGs, produce different incentives for early or late discharge. For example, hospitals who are paid on a per diem basis can generate more income by discharging patients later than hospitals who are paid through budgets. "]
[55,"i",null,4,"c","Average length of stay in hospitals","in days","Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Average length of stay refers to the average number of days that patients spend in hospital. It is generally measured by dividing the total number of days stayed by all inpatients during a year by the number of admissions or discharges. Day cases are excluded. The data cover all inpatient cases (including not only cura- tive/acute care cases) for most countries"]
[55,"i",null,4,"c","Average length of stay for normal delivery","in days","Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[55,"i",null,4,"c","Average length of stay for acute myocardial infarction (AMI)",null,"Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[55,"i","nA",4,"c","Average length of stay (ALOS), Total in-patient",null,"Joumard et al. 2010","B",null,"Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[55,"i","nA",4,"c","ALOS, AMI",null,"Joumard et al. 2010","B",null,"Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[55,"i","nA",4,"c","ALOS, Breast cancer",null,"Joumard et al. 2010","B",null,"Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[55,"i","nA",4,"c","ALOS, Trachea, bronchus and lung cancer",null,"Joumard et al. 2010","B",null,"Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[55,"i","nA",4,"c","ALOS, Colon, rectum and anus cancer",null,"Joumard et al. 2010","B",null,"Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[55,"i","nA",4,"c","ALOS, Fracture of femur",null,"Joumard et al. 2010","B",null,"Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[55,"i","nA",4,"c","ALOS, Tuberculosis",null,"Joumard et al. 2010","B",null,"Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[55,"i",33,4,"c","Average length of stay",null,"WHO Core Health 2015","C",null,"World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[55,"i",null,4,"c","Average Length of a Hospital Stay (Days)",null,"CIHI In Depth (2014)","D",null,"CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Facility Characteristics",null,"·      Canadian Institute for Health Information"]
[55,"i",null,4,"c","Patient Days in Alternate Level of Care (Percentage)",null,"CIHI In Depth (2014)","D",null,"CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Regional Characteristics and Inputs",null,"·      Canadian Institute for Health Information"]
[55,"i",null,4,"c","Average Length of a Long-Term Care Stay (Years)",null,"CIHI In Depth (2014)","D",null,"CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Facility Characteristics",null,"·      Canadian Institute for Health Information"]
[55,"i","2.1.",4,"c","Length of stay",null,"MoH New Zealand 2016","D",null,"Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"nA",null,"‘Using health resources effectively’ "]
[55,"i","E-2",4,"c","Length of stay normal delivery (mean, days)",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Efficiency of care"]
[55,"i",null,4,"c","Average length of stay, all hospitals",null,"Estonia HSPA (2010)","E",null,"WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Efficiency and effectiveness of the health system: technical efficiency"]
[55,"i",null,4,"c","average length of stay",null,"Hungary HSPA (2014)","E",null,"Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"technical efficiency: the association between the number of hospital days and cost of care is not linear, with the bulk of the costs being concentrated in the first couple of days of acute inpatient care"]
[55,"i",15,4,"c","Hospital average length of stay (acute, mental and rehabilitation hospitals)",null,"Malta - Grech et al. (2015)","E",null,"Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,"The average length of stay (ALOS) in days in a hospital per discharged in-patient, i.e. average duration of a single episode of hospitalization","ALOS is computed by dividing the total number of in-patent hospital days, in all hospitals, counted from the date of admission to the date of discharge by the total number of discharges (including deaths) in all hospitals during a given year. A hospital day (or bed-day or in-patient day) is a day, during which a person admitted as an in-patient, is confined to a bed and stays overnight in a hospital. Day-cases (patients formally admitted for a medical procedure or surgery in the morning and discharged before the evening) are excluded. Patients admitted with the intention of discharge on the same day, but who subsequently stay in hospital overnight, are included’."]
[55,"i",141,4,"c","Average lengths of hospital stays in the Netherlands and internationally",null,"Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,"Health expenditure and efficiency: efficiency"]
[55,"i",null,4,"c","Average length of hospital stay",null,"Portugal HSPA (2010)","E",null,"World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,"Health system efficiency"]
[55,"i",null,4,"c","Average length of stay in hospital, all causes (days)",null,"UK - Berry (2015)","E",null,"Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,"OECD"]
[55,"i",null,4,"c999","Hospital average length of stay (acute, mental and rehabilitation hospitals)","The average length of stay (ALOS) in days in a hospital per discharged in-patient, i.e. average duration of a single episode of hospitalization","Consolidated",999,null,null,0]
[55,"i",null,4,"e","Average Acute Care Resource Use Intensity","nA","CIHI In Depth (2014)","D",null,"CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Facility Characteristics",null,"·      Canadian Institute for Health Information"]
[55,"i",null,4,"e","Total Acute Care Resource Use Intensity","nA","CIHI In Depth (2014)","D",null,"CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Facility Characteristics",null,"·      Canadian Institute for Health Information"]
[55,"i",143,4,"e/ms","Productivity in Dutch mental health care","In the study by Niaounakis, mental health care productivity was measured in terms of the numbers of outpatient sessions, part-time treatments, inpatient days and days in sheltered accommodation. Weights were determined on the basis of recent fee levels to estimate the relative intensity of care in those four categories.","Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,"In the study by Niaounakis, mental health care productivity was measured in terms of the numbers of outpatient sessions, part-time treatments, inpatient days and days in sheltered accommodation. Weights were determined on the basis of recent fee levels to estimate the relative intensity of care in those four categories.",null,"Health expenditure and efficiency: efficiency"]
[55,"i",144,4,"e/ms","Productivity in Dutch nursing homes, residential homes and home care","Numbers of nursing home bed days and the numbers of home care hours","Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,"Numbers of nursing home bed days and the numbers of home care hours",null,"Health expenditure and efficiency: efficiency"]
[56,"e2",null,4,"s","Bed days per capita","Total number of bed-days in acute, mental and rehabilitation hospitals during the year. ","Consolidated","D, E",{"$f":"COUNTIF(L485:BB485,\">0\")","v":2},"Consolidated",{"$f":"COUNTIF(L486:L488,1)","v":0},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[56,"e2",2,4,"c","Acute hospital bed days per capita",null,"MoH New Zealand 2016","D",null,"Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"A measure of acute demand on secondary care that is amenable to good upstream primary care, discharge planning and transition requiring good communication between primary and secondary care.",null,"‘Using health resources effectively’ "]
[56,"e2","S-11",4,"c","Curative care bed-days (number/capita)",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Curative care bed days, number per capita.","Numerator: total number of days of inpatient stays spent in acute care beds\nDenominator: total Belgian population.","The number of acute care bed days per capita gives an idea about the population’s need for acute care beds, and thus about the needed infrastructure. This indicator gives an idea about how this need is met (sustainability). This indicator combines results from two other indicators: number of hospital admission per capita, and average length of hospitalisation."]
[56,"e2","MH-10",4,"c","Number of hospitalisation days in psychiatric hospital wards (/1000 pop)","Number of hospitalisations days in psychiatric hospital per capita","Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Number of hospitalisations days in psychiatric hospital per capita","Numerator: Number of hospitalisation days in psychiatric hospital or in psychiatric services of general hospital with at least one overnight.\nDenominator: Mid-year Belgian population","This indicator provides contextual information on the utilization of mental healthcare services outside ambulatory\nsetting. It may reflect differences between regions, such as the health of the population, differing health service\ndelivery models and variations in the availability and accessibility of specialized, residential and/or ambulatory and\ncommunity-based services. We acknowledge that monitoring psychiatric hospital service use captures only a\nrelatively small proportion of individuals who require mental healthcare services. However, in Belgium (like in other\nWestern countries) recent reforms (e.g. art 107 projects) in mental healthcare aim to shift the organisation of mental\nhealthcare from a model that was based on ‘large isolated institutions’ towards a balanced care model. This implies\nthat care is offered and delivered as close as possible to the patient’s living environment, and only if necessary in an\ninstitution. As such, one may expect a decreasing trend of psychiatric hospitalisation days."]
[57,"e1","nA",4,"s","Turnover rate","The number of cases per available acute care bed. ","Joumard et al. 2010","B",{"$f":"COUNTIF(L489:BB489,\">0\")","v":1},"Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"the number of cases per available acute care bed","The formula linking the occupancy rate (OR), turnover rate (TR) and ALOS is as follows: OR=ALOS*TR/365. Definitions and methods for collecting data may not be fully consistent and this relationship does not always hold exactly.","often considered to be relevant for assessing efficiency in the use of existing medical facilities"]
[58,"e1",null,4,"s","Occupancy rate","The occupancy rate is calculated as the number of beds effectively occupied (bed-days) for curative care divided by the number of beds available for curative care multiplied by 365 days, with the ratio multiplied by 100. Occupancy rate = Total number of bed-days during the year / (Number of beds available * 365 days) * 100","Consolidated","A, B, D, E",{"$f":"COUNTIF(L490:BB490,\">0\")","v":7},"Consolidated",{"$f":"COUNTIF(L491:L497,1)","v":0},0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0]
[58,"e1",13,4,"c","Acute care bed occupancy rates",null,"Eckfeldt et al. 2014 (DG-ECFIN)","A",null,"Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",0,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Number of acute care beds effectively occupied (beddays) in in- patient institutions divided by the number of available acute care beds and multiplied by 100."]
[58,"e1",null,4,"c","Occupancy rate of curative (acute) care beds","The occupancy rate is calculated as the number of beds effectively occupied (bed-days) for curative care divided by the number of beds available for curative care multiplied by 365 days, with the ratio multiplied by 100. Occupancy rate = Total number of bed-days during the year / (Number of beds available * 365 days) * 100","Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[58,"e1","nA",4,"c","Occupancy rate, acute care beds","nA","Joumard et al. 2010","B",null,"Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The formula linking the occupancy rate (OR), turnover rate (TR) and ALOS is as follows: OR=ALOS*TR/365. Definitions and methods for collecting data may not be fully consistent and this relationship does not always hold exactly.","Often considered to be relevant for assessing efficiency in the use of existing medical facilities. A high occupancy rate (usually considered as an efficient use of resources) can either reflect long\nALOS (usually considered as an inefficient use of resources) or a high turnover rate."]
[58,"e1",null,4,"c","Hospital Occupancy Rate",null,"CIHI In Depth (2014)","D",null,"CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Facility Characteristics",null,"·      Canadian Institute for Health Information"]
[58,"e1",null,4,"c","Bed occupancy rate (%), acute care hospitals only",null,"Estonia HSPA (2010)","E",null,"WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Efficiency and effectiveness of the health system: technical efficiency"]
[58,"e1",null,4,"c","bed occupancy rate",null,"Hungary HSPA (2014)","E",null,"Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"technical efficiency: the expenditures depend on the number of beds, which alone is only loosely correlated to actual costs of acute care (in the case of long-term care the number of beds is a better proxy)."]
[58,"e1",10,4,"c","Acute hospital bed-occupancy rates by sector",null,"Malta - Grech et al. (2015)","E",null,"Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,"The occupancy rate is calculated as the number of beds effectively occupied (bed-days) for curative care divided by the number of beds available for curative care multiplied by 365 days, with the ratio multiplied by 100. Occupancy rate = Total number of bed-days during the year / (Number of beds available * 365 days) * 100"]
[59,"i",null,4,"s","General practitioner (GP) utilisation: self-reported visits / Number of doctor consultations","Disaggregated by age group (15+, 15-64, 65+), by sex, by educational level (ISCED class 0-2, 3-4, 5-6) and income level.\nMean number of self-reported visits to general practitioner age-standardized per person per year. \nDerived from EHIS questions HC10 and HC11. \nHC10: When was the last time you consulted a GP (general practitioner) or family doctor on your own behalf? (1) Less than 12 months ago /2) 12 months ago or longer / 3) Never) \nIf HC10 is 1) HC11: During the past four weeks ending yesterday, that is since (date), how many times did you consult a GP (general practitioner) or family doctor on your own behalf? (number of times). Total number of contacts reported under HC11 is extrapolated from 4 to 52 weeks, and divided by the total number of respondents in the sample","Consolidated","A, B, E",{"$f":"COUNTIF(L498:BB498,\">0\")","v":6},"Consolidated",{"$f":"COUNTIF(L499:L504,1)","v":1},0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0]
[59,"i",71,4,"c","General practitioner (GP) utilisation: self-reported visits ","Mean number of self-reported visits to general practitioner per person by age group (15+, 15-64, 65+), by sex and by educational level (ISCED class 0-2, 3-4, 5-6) per year","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Mean number of self-reported visits to general practitioner per person per year.","Mean number of visits to general practitioner per person per year, derived from EHIS questions HC10 and HC11. HC10: When was the last time you consulted a GP (general practitioner) or family doctor on your\nown behalf? (1) Less than 12 months ago /2) 12 months ago or longer / 3) Never) If HC10 is 1): ➛ HC11:\nDuring the past four weeks ending yesterday, that is since (date), how many times did you consult a GP (general practitioner) or family doctor on your own behalf? (number of times). Total number of contacts reported under HC11 is extrapolated from 4 to 52 weeks, and divided by the total number of respondents in the sample. EHIS data will not be age standardized.","A basic indicator for the use of medical services. The differences by sex, age and socio-economic status provide information that can be used in assessment of the cost and (equity of ) access to health services.","Eurostat (EHIS)",null,"• Country\n• Calendar year\n• Sex\n• Age group (15-64, 65+)\n• SES (educational level. ISCED 3 aggregated groups: 0-2; 3+4; 5+6)","nA","nA","nA"]
[59,"i","nA",4,"c","Percentage of illness cases where the first point of contact is a general practitioner",null,"ESIF for Health 2015","A",null,"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Primary and ambulatory care"]
[59,"i","A-5",4,"c","Care utilisation (total, by SES)","To be defined and possibly also broken down by socio-economic group.","JAF Health (DG EMPL)","A",null,"EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"To be defined and possibly also broken down by socio-economic group.",null,null,"Eurostat (future EU-SILC 3-year health module)"]
[60,"e2",null,4,"c","Estimated number of consultations per doctor","Annual consultations per doctor","Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[61,"e0",10,4,"c","Percent of children with a medical and dental preventive care visit in the past year","Percent of children 0-17 with a preventive medical visit and, if ages 1-17, a preventive dental visit in the past year.","CWF State Scorecard","D",null,"D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Percent of children 0-17 with a preventive medical visit and, if ages 1-17, a preventive dental visit in the past year.",null,null,null,"2011/12 National Survey of Children’s Health (CAHMI, NSCH 2011/12)."]
[62,"e2",null,4,"s","Dentist utilization: No regular contacts with dentist","Disaggregated by age group (15+, 15-64, 65+), by sex, by educational level (ISCED class 0-2, 3-4, 5-6) and income level.\nPercentage of population aged 3+ reporting no regular contacts with dentist: i) at least at 2 contacts on 2 different years over a three year period; ii) without a dental visit in the past year. ","Consolidated","D, E",{"$f":"COUNTIF(L514:BB514,\">0\")","v":3},"Consolidated",{"$f":"COUNTIF(L515:L517,1)","v":0},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[62,"e2","1.10.",4,"c","Enrolment with oral health services",null,"MoH New Zealand 2016","D",null,"Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"nA",null,"‘Keeping children out of the hospital’."]
[63,"e0",null,4,"c","Rates of inpatient admissions and outpatient contacts",null,"Estonia HSPA (2010)","E",null,"WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Access to health care services: utilization of health care services"]
[65,"e0",null,4,"c","Patients Admitted Through the Emergency Department",null,"CIHI In Depth (2014)","D",null,"CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Facility Characteristics",null,"·      Canadian Institute for Health Information"]
[65,"e0",null,4,"c","Number of Emergency Department Visits",null,"CIHI In Depth (2014)","D",null,"CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Facility Characteristics",null,"·      Canadian Institute for Health Information"]
[67,"e1",null,4,"s","Ambulatory surgery: Share of selected surgeries carried out as ambulatory cases","Share of cataract surgery and tonsillectomies carried out as ambulatory cases","Consolidated","B, D, E",{"$f":"COUNTIF(L531:BB531,\">0\")","v":4},"Consolidated",{"$f":"COUNTIF(L532:L536,1)","v":0},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0]
[67,"e1",158,4,"c","Cataract Surgery, Visual Acuity below 0.5 in the Better-seeing Eye",null,"Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,"Percentage of patients with visual acuity below 0.5 in the better-seeing eye at the time of cataract surgery"]
[68,"i","CV3",4,"c","Percutaneous Coronary Intervention (PCI) ",null,"ECHO","A",null,"ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"All PCI procedures per 10,000 inhabitants aged 40 and older. ","Numerator: PCI procedures performed in patients aged 40 and older.\nDenominator: Population aged 40 and older. ","Percutaneous coronary intervention (PCI) is an effective and less invasive alternative in the treatment of coronary ischaemic disease (CID), including the first hours of an AMI, generally superseding any other alternative.\n\nVariation in PCI rates at the population level should be minimal, and comparable to that observed for CID or AMI. Accordingly, high PCI rates are expected in areas with a high CID burden, while low rates are expected in areas with lower CID burdens. However, evidence has shown a poor correlation between CID and PCI rates, and moderate to high systematic variation in PCI rates.\n\nUnder the ECHO framework, once differences in age, sex, burden of disease, or socioeconomic status across areas are ruled out as an alternative explanation, PCI rates are considered a potential indicator of uneven access to effective care (in areas with lower rates) or of overexposure to PCI (in areas with higher rates). ",null,"http://www.echo-health.eu/handbook/CV_PCI.html"]
[68,"i","LVC10",4,"c","Hysterectomy without uterus cancer diagnosis","Hysterectomy in benign conditions per 10,000 women aged 18 or older.\nNumerator: Admissions of women 18 and older with a non-oncological uterine condition who undergo hysterectomy. Obstetric patients, patients with abdominal trauma, and women with genitourinary cancer are excluded.\nDenominator: Female population aged 18 or older.","ECHO","A",null,"ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Hysterectomy in benign conditions per 10,000 women aged 18 or older.","Numerator: Admissions of women 18 and older with a non-oncological uterine condition who undergo hysterectomy. Obstetric patients, patients with abdominal trauma, and women with genitourinary cancer are excluded.\nDenominator: Female population aged 18 or older.","Hysterectomy is one of the safest and most appropriate procedures when treating uterine cancer. However, its indication for other gynaecological conditions such as bleeding or uterine myoma is controversial, and it is not considered a first-line approach.\n\nIn those cases, the risk-benefit balance seems to advocate conservative treatments such as hormone therapies. Accordingly, hysterectomy in non-oncological conditions is considered lower-value within the ECHO framework. ",null,"http://www.echo-health.eu/handbook/LVC_HYSTER.html"]
[68,"i","LVC2",4,"c","Prostatectomy with prostate cancer","Prostatectomy in prostate cancer per 10,000 men aged 40 or older.\nNumerator: Admissions in men aged 40 and older with prostate cancer undergoing prostatectomy.\nDenominator: Male population aged 40 or older. ","ECHO","A",null,"ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Prostatectomy in prostate cancer per 10,000 men aged 40 or older.","Numerator: Admissions in men aged 40 and older with prostate cancer undergoing prostatectomy.\nDenominator: Male population aged 40 or older. ","Prostate cancer is one of the most common cancers in men. There is major controversy regarding its surgical management given the uncertain risk-benefit balance associated with the number, frequency and severity of adverse events associated with radical prostatectomy.\n\nAccording to the guidelines of the National Institute of Clinical Excellence, men with low-risk localised prostate cancer should be offered active surveillance before radical surgery. Surgery is the recommended approach for stages T2b and T2C, and for stage T3 if there is a realistic prospect of long-term disease control.\n\nEvidence of massive systematic variation in prostatectomy after prostate cancer is likely associated more with differences in practice style or doctors’ preferences than with differences in the incidence of low-risk (or high-risk) prostate cancer across areas.\n\nWithin the ECHO framework, we hypothesize that areas with higher rates are likely to perform low-value prostate interventions.\n\n ",null,"http://www.echo-health.eu/handbook/LVC_PROST.html"]
[68,"i",null,4,"c","Cardiac procedures: Coronary revascularisation procedures","Per 100 000 population","Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[68,"i","4.3.",4,"c","Kidney transplants per million pop.","Living and deceased donors, procedures p.m.p.","EHCI 2015","D",null,"Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Living and deceased donors, procedures p.m.p.",null,null,null,"Council of Europe Newsletter September 2015"]
[68,"i",null,4,"c","Laparoscopic cholecystectomy: proportion of ordinary admissions with length of stay less than 3 days after surgery ",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"mortality-procedures"]
[68,"i",null,4,"c","Selected procedures",null,"UK - Bevan et al. (2014)","E",null,"Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,"Selected procedures per 10,000 population (finished consultant episodes, FCE)"]
[69,"i","LVC8",4,"c","Percentage caesarean section in low obstetric risk over total deliveries ",null,"ECHO","A",null,"ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"C-section in low-risk pregnancies or deliveries per 100 deliveries. ","Numerator: Women aged 15 to 55 undergoing a caesarean section without evidence of pregnancy or delivery risks, inclunding multiple gestation, abnormality of pelvic organs, pre-eclampsia, eclampsia, antepartum haemorrhage, premature birth, AIDS infection, abnormal foetal presentation, dystocia, prolonged labour, obstructed labour.\nDenominator: Deliveries female population aged 15 to 55. ","C-section is an effective and safe procedure, with specific indications aimed at reducing foetal and maternal risks. Although, some frequent adverse events are associated with caesarean sections, these are outweighed by the benefits of an appropriate indication. However, benefits are unlikely to outweigh risks when the procedure is performed in low-risk deliveries.\n\nWithin the ECHO framework, C-sections in cases of low-risk pregnancy and delivery are considered as a proxy of low-value obstetric care, as in these scenarios a conservative approach (vaginal delivery) is preferable in terms of benefit-risk balance. ",null,"http://www.echo-health.eu/handbook/LVC_CSEOLRD.html"]
[69,"i",null,4,"c","Low-Risk Caesarean Sections",null,"CIHI In Depth (2014)","D",null,"CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"This indicator examines the risk-adjusted rate of deliveries via C-section among singleton term cephalic pregnancies for women without placenta previa or previous C-section. The indicator is expressed as the rate of C-sections per 100 deliveries.","This indicator examines the risk-adjusted rate of deliveries via C-section among singleton term cephalic pregnancies for women without placenta previa or previous C-section. The indicator is expressed as the rate of C-sections per 100 deliveries.","Unnecessary C-section delivery increases maternal morbidity and mortality and is associated with higher costs. This indicator looks at the rate of deliveries via C-section as a measure of appropriateness of care. This indicator is limited to pregnancies considered to be at low risk for C-section.\nLower is better. It means that there were fewer C-sections among low-risk pregnancies. Lower rates may indicate more appropriate as well as more efficient care.",null,"·      Canadian Institute for Health Information",null,null,"http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=5111842"]
[69,"i","QA-7",4,"c","Caesarean sections (/100 live births)",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Appropriateness"]
[69,"i",null,4,"c","Rate of caesarean section deliveries",null,"Portugal HSPA (2010)","E",null,"World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,"Quality, safety and outcomes of health care services"]
[70,"e1","C10",4,"c","Mode of delivery by parity, plurality, presentation (of fetus), previous caesarean section",null,"Europeristat","A",null,"Euro-Peristat. (2012). Euro-Peristat project - Better statistics for better health for pregnant women and their babies.   Retrieved from http://www.europeristat.com/",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"For a population of women and year: the number of births associated with each of the following modes:\n- Vaginal, non instrumental\n- Vaginal: forceps\n- Vaginal: ventouse\n- Vaginal (other, Thierry’s spatula, etc..)\n- Caesarean: before or at onset of labour/elective\n- Caesarean: during labour/emergency\nas a proportion of all still and live births.\nComputed by parity, plurality, presentation and previous caesarean section and gestational age (22-27, 28-31, 32-36, 37, 38, 39, 40, 41, 42+)"]
[70,"e1","10.2.",4,"c","Percentage of induced deliveries in the nulliparous term singleton vertex group",null,"Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,"The modes of delivery in the so-called nulliparous term singleton vertex (NTSV) or low-risk group. Deliveries in this low-risk group have the following characteristics: it is a first-time pregnancy (nulliparous), it is a singleton pregnancy, the baby is full-term (≥ 37 weeks) and in a head-down position. In the international literature the term ‘nulliparous term singleton vertex’ (NTSV) is often used. These low-risk women are expected to need fewer interventions, such as induced labour, assisted delivery, and caesarean sections. However, some risks can be higher for women who give birth to their first child (Gardosi, 2013).",null,"Antenatal, perinatal and postpartum care - Quality: secondary and tertiary obstetric care"]
[71,"i","3.7.",4,"c","Abortion rates",null,"EHCI 2015","D",null,"Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"# per 1000 live births; low = Good, Very low=purple",null,null,null,"WHO Health for All Database Sept 2015, United Nations Information on Abortion"]
[72,"e0",null,4,"c999","Practice with multifunctional clinical information technology",null,"consolidated",999,null,null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Primary care practice has electronic medical record (EMR) system with 2+ functions for: ordering, patient info, panel info, decision support",null,"Efficiency"]
[74,"e0",null,4,"s","Doctors report time spent on administrative issues related to insurance or claims is a major problem","Survey question. ","CWF Int. Comparison (2014)","D",{"$f":"COUNTIF(L595:BB595,\">0\")","v":1},"K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,null,"Efficiency"]
[null,"i","nA",5,"c","Population spending burden: Total cost of care","To be developed","IOM 2015","D",null,"IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"total cost of care provides actionable information about the state of spending at a health care institution, as well as potential areas of waste or misallocation of resources"]
[null,"i","S-3",5,"c","Total Health Expenditures (% financed by public sector)",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
[null,"i",null,5,"c","Government expenditure on health",null,"UK - Bevan et al. (2014)","E",null,"Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,"Government expenditure on health, per head"]
[75,"i","77 (A)",5,"c","Expenditures on health care as percentage of GDP","Total and current health expenditure for total, public, and private sectors, as percentage of gross domestic product (GDP)","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Current and total national health expenditure for total, public, and private sectors, as percentage of gross domestic product (GDP). \nEurostat, the OECD (Organisation for Economic Co-Operation and Development) and WHO (World Health Organisation) have been cooperating since 2005 to create a common data collection on health expenditure. The main results of this cooperation are the International Classification for Health Accounts (ICHA), a Joint Questionnaire on Health Expenditure, and the manuals A System of Health Accounts (SHA) .\nAccording to the common classification adopted by the three organizations, health can be divided by functions of health care (HC) and health care-related (HCR) items. They define the Current Health care Expenditure (CHE) as the sum (HC1-9) of expenditure on activities of services of curative care (HC1), services of rehabilitative care (HC2), services of long-term nursing care (HC3), ancillary services to health care (HC4), medical goods dispensed to out-patients (HC5), prevention and public health services (HC6), health administration and health insurance (HC7) and other care not specified by kind (HC9). They further define the total health care expenditure (HC1-9_R1) as the CHE plus the capital formation of health care provider institutions (HCR1).\nMoreover the data on health expenditure gives harmonized information on the health care financing agents (HF) and provides a breakdown by public or private sector. Data is presented for all financing agents (HF1-3), general government (HF1), or private sector (HF2). HF3 Rest of the world is considered as financing agent when the service is provided for free to the resident by foreigners but accounts as insignificant.\nThe health expenditure indicators present Eurostat data on Current Health care Expenditure (CHE) and the total health care expenditure expressed as percentage of Gross Domestic Product (GDP) by public, private or both sectors (total). Annual data covers most of the EU Member States and include Iceland, Norway, Switzerland and some non-European countries. Health expenditure data is also broken down by health care providers (HP) and is available in many different units.\nThe Expenditures on health care indicator belongs to the portfolio of health indicators for monitoring the European Strategy for social inclusion and social protection.\nTogether with external, biological and environmental factors, the provision of health care goods and services and its financing within a country?s health care system is perceived as a main determinant of health. Health care expenditure is an indicator for long-term sustainability of health care systems. ","According to System of Health Accounts (SHA) and the related International Classification for the Health Accounts (ICHA). Current expenditure on health care measures/describes financial means/ flows associated with (the consumption of) health care goods and services including governance and administration of health care system at large. Total expenditures also include investments (capital formation of health care providers). ICHA-HF Health financing agents: HF1 = General government and HF2 = Private sector. For GDP the national GDP in euro as available in the Eurostat database is used. The calculation of Purchasing Power Parities (PPP)/PPS is based on the prices for a standard basket of goods. For more details on the computation of PPP/PPS see Eurostat’s metadata on Purchasing power parities (see references).","Next to external, biological and environmental factors, the provision of health care goods and services and\nits financing within country’s health care system is perceived as a main determinant of health. Health care expenditure is an indicator for long-term sustainability of health care systems.",null,"Eurostat","• Calendar year\n• Country","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_sha2p&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_sha_esms.htm","http://ec.europa.eu/health/indicators/docs/echi_77.pdf"]
[75,"i","77 (B)",5,"c","Total health care expenditure by private sector, in millions of PPS",null,"ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1]
[75,"i","nA",5,"c","Total health care expenditure % of GDP",null,"ESIF for Health 2015","A",null,"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Health system"]
[75,"i","nA",5,"c","Total health expenditure per capita, PPP",null,"Medeiros & Schwierz 2015 (DG-ECFIN)","A",null,"Medeiros J & Schwierz C (2015) Efficiency estimates of health care systems - European Commission Economic Papers (Vol. 549). Brussels: European Economy.",0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Total (public and private) current expenditure including capital investment, in real values and expressed as purchasing power parities per capita using healthcare specific PPPs."]
[75,"i",null,5,"c","Total expenditures on health as a percent of GDP",null,"CWF Int. Comparison (2014)","D",null,"K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[75,"i",null,5,"c","Sources of health care financing as a percentage of total health care expenditures",null,"Estonia HSPA (2010)","E",null,"WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Fair financing, financial protection and coverage: fairness of health system financing"]
[75,"i",35,5,"c","Health expenditure as a % of GDP/per capita [pps]",null,"Malta - Grech et al. (2015)","E",null,"Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,"Current and total national health expenditure for total, public, and private sectors, as percentage of gross domestic product (GDP), and expressed in millions of Purchasing Power Standard (PPS). \n‘Total expenditure on health measures the final consumption of health goods and services (i.e. current health expenditure) plus capital investment in health care infrastructure. This includes spending by both public and private sources on medical services and goods, public health and prevention programmes and administration. To compare spending levels between countries, per capita health expenditures are converted to a common currency (US dollar) and adjusted to take account of the different purchasing power of the national currencies, in order to compare spending levels’.","According to System of Health Accounts (SHA) and the related International Classification for the Health Accounts (ICHA) current expenditure on health care measures/describes financial means/ flows associated with (the consumption of) health care goods and services including governance and administration of health care system at large. Total expenditures also include investments (capital formation of health care providers). The calculation of Purchasing Power Parities (PPP)/PPS is based on the prices for a standard basket of goods"]
[75,"i",null,5,"c999","Total health care expenditure by all financing agents (total, public and private sectors), in millions of PPS ","Total health expenditure for total, public, and private sectors, expressed in millions of Purchasing Power Standard (PPS). \n‘Total expenditure on health measures the final consumption of health goods and services (i.e. current health expenditure, CHE) plus capital investment in health care infrastructure. This includes spending by both public and private sources on medical services and goods, public health and prevention programmes and administration. To compare spending levels between countries, per capita health expenditures are converted to a common currency (US dollar) and adjusted to take account of the different purchasing power of the national currencies, in order to compare spending levels’.","Consolidated","A",null,null,0]
[76,"i","77 (A)",5,"c","Current health care expenditure by public sector, as percentage of GDP","Current health care expenditure as % of GDP, general government (HF1).","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"They define the Current Health care Expenditure (CHE) as the sum (HC1-9) of expenditure on activities of services of curative care (HC1), services of rehabilitative care (HC2), services of long-term nursing care (HC3), ancillary services to health care (HC4), medical goods dispensed to out-patients (HC5), prevention and public health services (HC6), health administration and health insurance (HC7) and other care not specified by kind (HC9)."]
[76,"i",1,5,"c","Public current health expenditure (CHE) as % of GDP",null,"Eckfeldt et al. 2014 (DG-ECFIN)","A",null,"Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",0,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"General government and social security funds (HF.1) current expenditure (HC.1 - HC.9), including long-term nursing care (HC.3), but excluding social services of long-term care (HC.R.6.1) and capital investment in health (HC.R.1); If available, the projected 2010 GDP has been replaced by the real 2010 GDP."]
[76,"i",2,5,"c","Projected increase in public CHE of GDP over 2010-2060**",null,"Eckfeldt et al. 2014 (DG-ECFIN)","A",null,"Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",0,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Projected increase in public expenditure on health care over 2010 - 2060 based on the \"AWG reference scenario\" and the \"AWG risk scenario\" in the Ageing Report 2012. The \"AWG reference scenario\" projects the impact of ageing and an income elasticity of health care demand of 1.1. on expenditure growth. The \"AWG risk scenario\" projects the impact of demographic and non- demographic drivers, such as income and techological changes and equalling an elasticity of health care demand of 1.3, on expenditure growth."]
[76,"i",null,5,"c","Total current health care expenditures per capita",null,"Portugal HSPA (2010)","E",null,"World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,"Patterns in health system spending and financial sustainability"]
[77,"i",null,5,"s","Public (current) health expenditure as share of total government expenditure","Public (current) health expenditure (general government health expenditure) as a percentage of total government expenditure (according to COFOG http://ec.europa.eu/eurostat/statistics-explained/index.php/Government_expenditure_on_health). \nThe size of the public budget allocated to health. \n","Consolidated","A, B, C, E",{"$f":"COUNTIF(L655:BB655,\">0\")","v":7},"Consolidated",{"$f":"COUNTIF(L656:L663,1)","v":0},0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,2,0,0,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0]
[77,"i",36,5,"c","Public sector health expenditure as % of total health expenditure",null,"WHO Core Health 2015","C",null,"World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"check definition"]
[77,"i",null,5,"c","Government spending on health compared with overall government spending",null,"Estonia HSPA (2010)","E",null,"WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Fair financing, financial protection and coverage: health system expenditures"]
[78,"i",4,5,"c","Expenditure on health by type of financing as % of current health expenditure","Expenditure on health by type of financing (public = government, social security; private = out-of-pocket, insurance; other) as % of current health expenditure","Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The financing of health care can be analysed from the point of view of the sources of funding (households, employers and the state), financing schemes (e.g. compulsory or voluntary insurance) and financing agents (organisations managing the financing schemes). Here “financing” is used in the sense of financing schemes as defined in the System of Health Accounts (OECD, 2000; OECD, Eurostat and WHO, 2011). Public financing includes expenditure by the general government and social security funds. Private financ- ing covers households’ out-of-pocket payments, pri- vate health insurance and other private funds (NGOs and private corporations). Out-of-pocket payments are expenditures borne directly by patients. They include cost-sharing and, in certain countries, estima- tions of informal payments to health care providers.\nTotal government expenditure is used as defined in the System of National Accounts and includes as major components intermediate consumption, com- pensation of employees, interest, social benefits, social transfers in kind, subsidies, other current expenditure and capital expenditure payable by cen- tral, regional and local governments as well as social security funds."]
[78,"i",null,5,"c","Public spending on health care as percent of total current health expenditures",null,"Portugal HSPA (2010)","E",null,"World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,"Patterns in health system spending and financial sustainability"]
[null,null,null,5,999,"Health care expenditure by function (HC)","function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines)","Consolidated",999]
[null,"e",null,5,"c999","Current health care expenditures (CHE) by function as % of current expenditure on health care","Current health expenditure comprises personal health care (curative care, rehabilitative care, long-term care, ancillary services and medical goods) and collective services (prevention and public health services as well as health administration).\n[inpatient care, outpatient care, long-term care, medical goods, collective services]\nCurative, rehabilitative and long-term care can also be classified by mode of production (inpatient, day care, outpatient and home care).","Consolidated",999]
[null,"e",null,5,"c","structure of HIF expenditure",null,"Hungary HSPA (2014)","E",null,"Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,"breakdown of HIF expenditure on curative services: primary care, mother and child health services, dental care, dispensaries, patient transport, ambulance service, dialysis, home care nursing, outpatient specialist care incl. CT, MRI and lab services; inpatient acute services; chronic hospital services; ",null,"However, cost-containment in itself does not ensure efficient resource allocation within the health sector. It is difficult to assess inefficiency resulting from the misallocation of resources among various levels of care and services from aggregate spending data, but the structure of HIF expenditure could be used as a proxy"]
[83,"e0","R-6",5,"c","Expenditure on rehabilitative care as % of current  expenditure on health care",null,"JAF Health (DG EMPL)","A",null,"EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Rehabilitative care means the services to stabilise, improve or restore impaired body functions and structures, compensate for the absence or loss of body functions and structures, improve activities and participation and prevent impairments, medical complications and risks.",null,null,null,"Eurostat (Joint questionnaire with OECD/WHO)"]
[84,"e1",null,5,"c","Long-term care public expenditure (health and social components), as share of GDP",null,"Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[84,"e1",99,5,"c","Trends in total Dutch long-term care insurance (AWBZ) expenditure",null,"Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,"Living with long-term illness or functional limitations - Costs"]
[84,"e1",101,5,"c","Per capita expenditure on long-term care in the Netherlands in comparison to other OECD countries",null,"Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,"Living with long-term illness or functional limitations - Costs"]
[85,"e0",106,5,"ms","Numbers of personal health budget holders and total expenditure on personal health budgets",null,"Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,"Living with long-term illness or functional limitations - Costs"]
[86,"e2",24,5,"c","Public in total (private and public) expenditure on outpatient pharmaceuticals",null,"Eckfeldt et al. 2014 (DG-ECFIN)","A",null,"Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",0,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Public (definition 1) in total (definition 3) expenditure on pharmaceuticals (definition 22)."]
[86,"e2","nA",5,"c","Pharmaceutical expenditure in PPS",null,"EU Semester thematic fiche Health 2015 (DG-ECFIN)","A",null,"EC, Europe 2020 (2015) European Semester Thematic Fiche: Health and Health Systems, from http://ec.europa.eu/europe2020/pdf/themes/2015/health-and-health-systems.pdf",0,null,null,null,1]
[86,"e2",null,5,"c","Expenditure on pharmaceuticals as a share of GDP",null,"Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Health services refer to inpatient and outpatient care (including day cases), long-term health care and auxiliary services."]
[86,"e2",142,5,"c","Efficiency in the outpatient prescription and use of pharmaceuticals",null,"Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,"expenditures for outpatient pharmaceutical drugs; Consumption in terms of defined daily doses (DDDs); proportion of generic drugs in the total of Dutch pharmaceutical consumption; GP prescribing behaviour",null,"Health expenditure and efficiency: efficiency"]
[87,"e2","R-5",5,"c","Expenditure on preventive care as a % of current expenditure on health care",null,"JAF Health (DG EMPL)","A",null,"EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Preventive care' means any measure that aims to avoid or reduce the number or the severity of injuries and diseases, their sequelae and complications. It is based on a health promotion strategy that involves a process to enable people to improve their health through the control over some of its immediate determinants. Interventions (both individual and collective) are included when their primary purpose is health promotion and if they occur before the diagnosis has been made.",null,null,null,"Eurostat (Joint questionnaire with OECD/WHO)"]
[87,"e2",31,5,"c","Per capita percentage of health expenditure devoted to preventive care",null,"Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,"Staying health - Costs"]
[88,"e0",null,5,"s","Expenditure on health administration and health insurance by all financing agents (total, public and private sectors)","Expenditure on health administration and health insurance by all financing agents expressed in following units: i) % of public current expenditure on health care, ii) % of GDP iii) in PPS per capita.  ","Consolidated","A, B, D, E",{"$f":"COUNTIF(L725:BB725,\">0\")","v":9},"Consolidated",{"$f":"COUNTIF(L726:L731,1)+COUNTIF(L677:L682,1)","v":0},0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,3,1,0,0,0,0,1,1,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0]
[88,"e0",null,5,"c","Percentage of national health expenditures spent on health administration and insurance",null,"CWF Int. Comparison (2014)","D",null,"K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[88,"e0",132,5,"e/ms","Determinants of changes in health expenditure in terms of price and volume","Average percentage growth in health expenditure in price and volume; the volume figures are broken down further by demographic (mainly ageing) and other factors (including epidemiological and technological) to shed light on determinants of changes. ","Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,"Average percentage growth in health expenditure in price and volume according to the Health and Social Care Accounts definition (source: Slobbe et al., 2011); the volume figures are broken down further by demographic (mainly ageing) and other factors. ",null,"Health expenditure and efficiency: expenditure"]
[null,null,null,5,999,"Current health care expenditure by provider (HP)",null,"Consolidated",999]
[91,"i",null,5,"c","HIF expenditure on acute hospital care",null,"Hungary HSPA (2014)","E",null,"Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,"NHIFA expenditures on acute hospital care (billion HUF, constant 1994 prices, deflated with health care price index)",null,"HIF expenditure on acute inpatient care is a better measure than patient days"]
[92,"e2","nA",5,"c","Public ambulantory expenditure in PPS per capita","General government and social security funds (HF.1) expenditure on providers of ambulatory health care (HP.3) including offices of physicians (HP.31), dentists (HP.32), other health practitioners (HP.33), out-patient care centres (HP.34), medical and diagnostic laboratories (HP.35), providers of home health care services (HP.36) and other providers of ambulatory health care (HP.39), measured in PPS.","EU Semester thematic fiche Health 2015 (DG-ECFIN)","A",null,"EC, Europe 2020 (2015) European Semester Thematic Fiche: Health and Health Systems, from http://ec.europa.eu/europe2020/pdf/themes/2015/health-and-health-systems.pdf",0,null,null,null,1]
[93,"e1",7,5,"c","Share of hospital inpatient expenditures by main diagnostic category","Circulatory diseases; Cancer; Injury, poisoning and other consequences of external causes; Mental and behavioural disorders; Respiratory system; Diseases of musculoskeletal system; Digestive diseases and connective tissue","Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Expenditure by disease and age allocates current health expenditure by patient characteristics. Guide- lines developed propose disease categories according to ICD-10. To ensure comparability between countries, expenditures are also linked to the System of Health Accounts (SHA) framework and a common methodol- ogy is proposed advocating primarily a top-down allo- cation of expenditures based on principal diagnosis. The main comparability issues relates to the treat- ment of non-allocated and non-disease-specific expenditures. In the former case this is due to data limitations (often in outpatient and pharmaceutical expenditure) and in the latter case mainly prevention and administration expenditure.\nCirculatory diseases; Cancer; Injury, poisoning and other consequences of external causes; Mental and behavioural disorders; Respiratory system; Diseases of musculoskeletal system; Digestive diseases and connective tissue"]
[93,"e1",null,5,"c","Cost per case mix-adjusted separation for acute and non-acute care episodes","The average cost per hospitalisation for acute and non-acute care in selected public acute hospitals, adjusted for different hospital casemixes. Data are presented as dollars.","AIHW. (2014)","D",null,"AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The average cost per hospitalisation for acute and non-acute care in selected public acute hospitals, adjusted for different hospital casemixes. Data are presented as dollars."]
[93,"e1",77,5,"c","Cost Per Inpatient Care Event for Primary Total Hip","costs per inpatient care event","Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,"costs per inpatient care event"]
[94,"e2",null,5,"s","Expenditure per hospital discharge/case/ hospital stay","Expenditure per hospital discharge for two diagnostic categories (circulatory disease, cancer).\nThis indicator measures the ratio of a hospital's total acute inpatient care expenses to the number of acute inpatient weighted cases related to the inpatients for which the hospital provided care.","Consolidated","A, B, D",{"$f":"COUNTIF(L760:BB760,\">0\")","v":3},"Consolidated",{"$f":"COUNTIF(L761:L763,1)","v":0},0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[94,"e2",8,5,"c","Expenditure per hospital discharge for two diagnostic categories (circulatory disease, cancer)",null,"Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[94,null,30,5,"e/ms","Total single premium per enrolled employee at private-sector establishments that offer health insurance",null,"CWF State Scorecard","D",null,"D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Data from Medical Expenditure Panel Survey–Insurance Component (AHRQ, MEPS-IC 2008, 2013, 2014)."]
[96,"e2",null,5,"c","HIF payment per DRG point as a percentage of 1994 figure (1994=100%)","nA","Hungary HSPA (2014)","E",null,"Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,"Comparing the HIF budget for acute inpatient care at constant prices (cost of inpatient care) and DRG points of acute inpatient care (output),",null,"technical efficiency: "]
[null,null,44,5,"ms","Nationwide variations in consultation fees charged by out-of-hours GP centres",null,"Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,"Acute care - Costs"]
[null,null,null,6,999,"QUALITY OF CARE: Effectiveness - Primary/secondary prevention",null,"Consolidated",999]
[null,null,41,6,"e/ms","Screening for Risky Consumption of Alcohol during Pregnancy","Percentage of patients screened for risky consumption of alcohol during pregnancy and who gave birth during the year","Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,"Percentage of patients screened for risky consumption of alcohol during pregnancy and who gave birth during the year"]
[98,"i",null,6,"c","Childhood vaccination programme","i) against diphteria, tetanus and pertussis, children aged 1; \nii) against measles, children aged 1; \niii) against hepatitis B, children aged 1. ","Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Vaccination rates reflect the percentage of children that receives the respective vaccination in the recom- mended timeframe. The age of complete immunisation differs across countries due to different immunisation schedules. For those countries recommending the first dose of a vaccine after age one, the indicator is calculated as the proportion of children less than two years of age who have received that vaccine. Thus, these indicators are based on the actual policy in a given country.\nSome countries administer combination vaccines (e.g. DTP for diphtheria, tetanus and pertussis) while oth- ers administer the vaccinations separately. Some countries ascertain vaccinations based on surveys and others based on encounter data, which may influ- ence the results."]
[98,"i",5,6,"c","Percentage of children vaccinated against measles (1 dose by second birthday), polio (3 doses by first birthday) and rubella (1 dose by second birthday)",null,"WHO Health 2020","C",null,"WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The percentage of children vaccinated against measles is the proportion of children reaching their second birthday who have been fully vaccinated against measles (1 dose).\nThe percentage of infants vaccinated against polio is the proportion of infants reaching their first birthday in the given calendar year who have been fully vaccinated against polio (3 doses).\nThe percentage of infants vaccinated against rubella is the proportion of children reaching their second birthday in the given calendar year who have been fully vaccinated against rubella (1 dose).\nData for all three are reported annually to and available from the Communicable Diseases Unit at the WHO Regional Office for Europe.",null,"Information on immunization coverage is used for a variety of purposes:\n to  monitor  the  performance  of  immunization  services  at  the  local, national and international levels;\n to guide accelerated disease-control initiatives such as polio eradication, measles control and neonatal tetanus elimination;\n to identify areas of weak system performance that may require extra resources and focused attention;\n as a consideration when deciding whether to introduce a new vaccine.\nAn accurate historical representation of immunization coverage is important to assess trends in immunization system performance, to better establish the relationship between immunization service delivery and disease occurrence, and to provide a framework for setting future goals for coverage achievement.",null,"HFA","type of vaccine"]
[98,"i","P-1",6,"c","Polio, diphtheria, tetanus and pertussis vaccination in children (%, 3th/4th dose)",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
[98,"i","P-2",6,"c","Measles vaccination in children (%, 1th/2th dose)",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
[98,"i",9,6,"c","Vaccination of Children – Measles-Mumps-Rubella (MMR)",null,"Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,"Percentage of children vaccinated against measles, mumps and rubella among all those born"]
[98,"i",null,6,"c","Immunisation rates for MMR at 24 months",null,"Ireland - NHQSR (2015)","E",null,"Ann Roinn Sláinte Department of Health. (2015). NHQRS-National Healthcare Quality Reporting System - First annual report 2014. Retrieved from Dublin: http://health.gov.ie/wp-content/uploads/2015/03/NHQRS-Annual-Report-2014.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,"% of children 24 months of age who have received the MMR (measles, mumps and rubella) vaccine","Numerator:\nNumber of children who have received the 1st dose of MMR vaccination by their second birthday.\nDenominator:\nNumber of children who have reached their second birthday.","1. Helping people to stay healthy and well",null,"Health Protection Surveillance Centre"]
[100,"e2",null,6,"s","Influenza vaccination rate in elderly","Proportion of elderly individuals by sex  (65+)  and education level (ISCED class 0-2, 3-4, 5-6) reporting to have received one shot of influenza vaccine during the last 12 months.","Consolidated","A, B, D, E",{"$f":"COUNTIF(L809:BB809,\">0\")","v":16},"Consolidated",{"$f":"COUNTIF(L810:L825,1)","v":1},0,0,1,0,0,0,0,0,0,1,1,0,0,0,0,1,1,0,0,0,1,1,0,0,1,1,1,0,0,0,1,1,0,0,0,1,0,1,1,0,0,0]
[100,"e2",57,6,"c","Influenza vaccination rate in elderly","Proportion of elderly individuals by sex  (65+)  and education level (ISCED class 0-2, 3-4, 5-6) reporting to have received one shot of influenza vaccine during the last 12 months.","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Proportion of elderly individuals reporting to have received one shot of influenza vaccine during the last 12 months.","Percentage of persons aged 65 and older reporting to have been vaccinated against influenza (brand name of vaccine to be verified in each country) during the last 12 months, derived from EHIS questions PA.1, PA.2 and PA.3. PA.1: Have you ever been vaccinated against flu? 1. Yes / 2. No; PA.2: When were you last time vaccinated against flu? 1. Since the beginning of this year / 2. Last year / 3. Before last year PA.3: Can I just check, what month was that? Month (01-12). EHIS data will not be age standardized.","Influenza vaccination in elderly is important for reducing the disease burden of influenza, including mortality.",null,"Eurostat (EHIS) or national HIS","• Country\n• Calendar year\n• Sex\n• Age group (65+)\n• Socio-economic status (educational level. ISCED 3 aggregated groups: 0-2; 3+4; 5+6)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_hc1&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_det_esms.htm","http://ec.europa.eu/health/indicators/docs/echi_57.pdf"]
[100,"e2","nA",6,"c","Vaccination rates, influenza",null,"Joumard et al. 2010","B",null,"Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[100,"e2","nA",6,"c","Preventive services: Influenza immunizations",null,"IOM 2015","D",null,"IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[100,"e2",null,6,"c","Influenza vaccination coverage, population aged 65 and over","population aged 65 and over","UK - Berry (2015)","E",null,"Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,"Influenza vaccination rate refers to the number of people aged 65 and older who have received an annual influenza vaccination, divided by the total number of people over 65 years of age."]
[100,"e2",null,6,"c","Immunisation against influenza for persons aged 65 years and over with medical card",null,"Ireland - NHQSR (2015)","E",null,"Ann Roinn Sláinte Department of Health. (2015). NHQRS-National Healthcare Quality Reporting System - First annual report 2014. Retrieved from Dublin: http://health.gov.ie/wp-content/uploads/2015/03/NHQRS-Annual-Report-2014.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,"% of people aged 65 years and over with a medical card or GP Visit Card who have been vaccinated against influenza","Numerator:\nNumber of medical card and GP Visit Card holders aged 65 years and over who have received the influenza vaccine from a GP or (from 2012/2013) from a pharmacist.\nDenominator:\nNumber of medical card and GP Visit Card holders aged 65 years and over.","1. Helping people to stay healthy and well",null,"Health Protection Surveillance Centre"]
[101,"i","nA",6,"c","% of women aged 50-69, whose highest level of education is ISCED class 0, 1 or 2 (lower secondary), reporting a mammography in the past two years (screening)",null,"ESIF for Health 2015","A",null,"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Equity of access to health care services"]
[101,"i","nA",6,"c","Colorectal cancer screening",null,"ESIF for Health 2015","A",null,"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"% of persons (aged 50-74) reporting a colorectal cancer screening in the past two years",null,"Prevention"]
[101,"i",null,6,"c","Cervical cancer screening","women aged 20-69","Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Screening rates are based on surveys or encounter data, which may influence the results. Survey-based results may be affected by recall bias. Programme data are often calculated for monitoring national screening programmes and differences in target population and screening frequency may also lead to variations in screening coverage across countries."]
[101,"i",null,6,"c","Cancer screening rates",null,"AIHW. (2014)","D",null,"AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Proportion of the target population that participated in each of the 3 national cancer screening programs."]
[101,"i","4.1.",6,"c","Cancer screening and treatment timeliness",null,"MoH New Zealand 2016","D",null,"Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"nA",null,"‘Prevention and early detection’"]
[101,"i",2,6,"c","Response rate to screening programmes (eg. Breast cancer screening, colorectal, [cervical] screening)",null,"Malta - Grech et al. (2015)","E",null,"Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,"Proportion of women (aged 50-69) reporting to have undergone a breast cancer screening test within the past two years","Percentage of women aged 50-69 reporting to have had a breast examination by X-ray (i.e. mammography) within the past 2 years, derived from European Health Interview survey questions, PA.10 and PA.11: PA.10: Have you ever had a mammography, which is an X-ray of one or both of your breasts? Yes / No / Don’t know / Refusal; and PA.11: When was the last time you had a mammography (breast X-ray)? Within the past 12 months / More than 1 year, but not more than 2 years / More than 2 years, but not more than 3 years / Not within the past 3 years / Don’t know / Refusal’."]
[101,"i",null,6,"c","Cervical cancer screening","women aged 20-69","UK - Berry (2015)","E",null,"Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,"Screening rates are based on surveys or encounter data, which may influence the results. Survey-based results may be affected by recall bias. Programme data are often calculated for monitoring national screening programmes and differences in target population and screening frequency may also lead to variations in screening coverage across countries."]
[101,"i",null,6,"c","Screening rate for breast cancer",null,"Ireland - NHQSR (2015)","E",null,"Ann Roinn Sláinte Department of Health. (2015). NHQRS-National Healthcare Quality Reporting System - First annual report 2014. Retrieved from Dublin: http://health.gov.ie/wp-content/uploads/2015/03/NHQRS-Annual-Report-2014.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,"Percentage uptake of breast screening by eligible women in the population","Numerator: the number of eligible women in the population who were invited in the reporting period and have had a satisfactory screening test\nDenominator: the number of eligible women invited in the reporting period","1. Helping people to stay healthy and well",null,"National Screening Service"]
[102,"e1",null,6,"c","Proportion of pregnancies with an antenatal visit in the first trimester",null,"AIHW. (2014)","D",null,"AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Pregnant females who have a live birth who had at least 1 antenatal visit in the first 13 weeks of pregnancy. Presented as a percentage of all females who had a live birth."]
[102,null,"1.1.",6,"e/ms","Lead Maternity Carer registration rate",null,"MoH New Zealand 2016","D",null,"Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"nA",null,"‘Keeping children out of the hospital’."]
[103,"e1","nA",6,"s","Unintended pregnancy: Contraceptive use","nA","IOM 2015","D",{"$f":"COUNTIF(L869:BB869,\">0\")","v":1},"IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,null,"The related priority measure of contraceptive use considers unintended pregnancy at any age, and could be useful for stakeholder groups that work with older populations or with a broader focus on women’s health and health care."]
[104,"e2",41,6,"s","Unprotected sex - teenage abortions","Abortions among women under 19 years of age per 1 000 women 15–19 years old","Sweden - Socialstyrelsen. (2015)","E",{"$f":"COUNTIF(L870:BB870,\">0\")","v":1},"Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,"Abortions among women under 19 years of age per 1 000 women 15–19 years old",null,"Lifestyle and living habits: sexual and reproductive health and rights"]
[null,null,null,6,"e/ms","Unsafe sharing of needles",null,"AIHW. (2014)","D",null,"AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The percentage of injecting drug users participating in surveys carried out at needle and syringe programs, who report sharing needles and syringes in the last month."]
[108,"e1",28,6,"c","Percentages of smokers visiting GPs who were given smoking cessation advice",null,"Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,"Staying health - Quality"]
[109,"e2","4.2.",6,"c","Cardiovascular risk management",null,"MoH New Zealand 2016","D",null,"Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"nA",null,"‘Prevention and early detection’"]
[null,null,null,7,999,"QUALITY OF CARE: Effectiveness - Getting better",null,"Consolidated",999]
[111,"i",null,7,"c","Hospital Deaths (HSMR) ",null,"CIHI In Depth (2014)","D",null,"CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Hospital Standardized Mortality Ratio (HSMR)","This indicator examines the ratio of the actual number of in-hospital deaths in a region or hospital to the number that would have been expected based on the types of patients a region or hospital treats. The HSMR is calculated by dividing the actual number of in-hospital deaths by the expected number of in-hospital deaths, for conditions accounting for about 80% of inpatient mortality.","This indicator of health care quality measures whether the number of deaths at a hospital is higher or lower than you would expect, based on the average experience of Canadian hospitals (set at 100 in 2012). When tracked over time, this measure can indicate whether hospitals have been successful in reducing patient deaths and improving care.\nLower is better. The measure is adjusted for some of the differences in the types of patients a hospital sees. For example, more deaths would be expected in a hospital that cares for severe trauma patients than in one that focuses on maternity care. The HSMR is most useful to follow a hospital’s performance over time.",null,"·      Canadian Institute for Health Information",null,null,"http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=1114189"]
[112,"i","CV6",7,"c","In Hospital Case-Fatalities Rate after Percutaneous Coronary Intervention (PCI)",null,"ECHO","A",null,"ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Case fatality rate per 1,000 PCI performed in patients aged 40 and older. ","Numerator: Deaths among cases meeting the inclusion and exclusion rules for the denominator.\nDenominator: Patients aged 40 years and older, with any procedure code for PCI. Obstetric discharges are excluded. ","Percutaneous coronary intervention (PCI) is a procedure that requires technical proficiency and complex equipment. Although safe, myocardial infarctions, deaths, or post-procedural CABGs are still observed, with huge variation across hospitals, as well as a close association with hospital and physician volume; the greater the volume, the lower the risks. Case-fatalities after PCI are widely accepted as an inpatient quality indicator.\n\nUnder the ECHO framework, PCI case-fatality rates beyond a defined threshold signal differences in hospital quality, once differences between patients are ruled out. ",null,"http://www.echo-health.eu/handbook/CV_PCI_MORT.html"]
[112,"i",null,7,"c","Thirty-day mortality after admission to hospital for AMI based on patient data",null,"Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[112,"i","nA",7,"c","In-hospital case fatality rates for acute myocardial infarction",null,"Joumard et al. 2010","B",null,"Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[112,"i",null,7,"c","Hospital Deaths Following Major Surgery",null,"CIHI In Depth (2014)","D",null,"CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"risk-adjusted rate of in-hospital deaths within 30 days of major surgery per 100 major surgical cases","This indicator examines the risk-adjusted rate of in-hospital deaths within 30 days of major surgery per 100 major surgical cases. The risk-adjusted rate is calculated by dividing the observed number of deaths by the expected number of deaths and multiplying by the Canadian average.","Although not all deaths are preventable, reporting on and comparing mortality rates for major surgical procedures may increase awareness of surgical safety and act as a signal for hospitals to investigate their processes of care. This indicator looks at the rate of in-hospital deaths within 30 days of major surgery per 100 major surgical cases.\nLower is better. It means that there were fewer in-hospital deaths due to all causes within 30 days of major surgery.",null,"·      Canadian Institute for Health Information",null,null,"http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=5111812"]
[112,"i",null,7,"c","Variation in 30-day mortality (%) in patients with acute myocardial infarction according to county of the hospital of first admission",null,"Hungary HSPA (2014)","E",null,"Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"allocative efficiency"]
[112,"i",null,7,"c","Myocardial Infarction (MI) without PCI: 30-day mortality",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"mortality-procedures",null,null,null,null,null,"http://95.110.213.190/PNEed14_EN/risultati/protocolli/pro_3.pdf"]
[112,"i",null,7,"c","PCI after 2 days from the admission for MI: 30-day mortality",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"mortality-procedures",null,null,null,null,null,"http://95.110.213.190/PNEed14_EN/risultati/protocolli/pro_5.pdf"]
[112,"i",null,7,"c","Coronary artery bypass graft (CABG): 30-day mortality",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,"Proportion of episodes of NO STEMI (NO ST segment elevation myocardial infarction) treated with PCI within 48 hours by admitting hospital or by area of residence ",null,"mortality-procedures",null,null,null,null,null,"http://95.110.213.190/PNEed14_EN/risultati/protocolli/pro_14.pdf"]
[112,"i",null,7,"c","Ischemic stroke: 30-day mortality",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"mortality-procedures"]
[112,"i",40,7,"c","Percentages of patients dying within 30 days of hospital admission for ischaemic and haemorrhagic stroke",null,"Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,"Acute care - Quality"]
[112,"i",null,7,"c","30-day in-hospital fatality rates following AMI and ischemic stroke",null,"Portugal HSPA (2010)","E",null,"World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,"Quality, safety and outcomes of health care services"]
[112,"i",102,7,"c","Hospitalised Stroke Patients – 28-day and 90-day Case Fatality Rate",null,"Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,"This indicator, which reflects the 28-day and 90-day case fatality rate for hospitalised stroke patients, focuses on the quality of acute and continuing care at hospital. Age-standardised."]
[112,"i",null,7,"c","In-hospital Mortality following Ischaemic Stroke",null,"Ireland - NHQSR (2015)","E",null,"Ann Roinn Sláinte Department of Health. (2015). NHQRS-National Healthcare Quality Reporting System - First annual report 2014. Retrieved from Dublin: http://health.gov.ie/wp-content/uploads/2015/03/NHQRS-Annual-Report-2014.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,"The age-sex standardised mortality rate within 30 days of admission with a principal diagnosis of ischaemic stroke, ages 45 and over.","Numerator:\nNumber of deaths in hospital that occurred within 30 days of hospital admission with a principal diagnosis of ischaemic stroke in a specified year, ages 45 and over.\nDenominator:\nNumber of hospitalisations of patients aged 45 and over with a principal diagnosis of ischaemic stroke in the specified year.\nAge-sex standardisation: Data have been age and sex standardised based on the methodology developed and used by the OECD Health Care Quality Indicators (HCQI) data collection.","3. Helping people when they are being treated and cared for in our health services",null,"Hospital In-Patient Enquiry (HIPE)"]
[114,"e2",null,7,"c","Waiting times for hip fracture surgery: Hip fracture surgery initiation after admission to hospital",null,"Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"This indicator is defined as the proportion of patients aged 65 years and over admitted to hospital in a specified year with a diagnosis of upper femur fracture, who had surgery initiated within two calendar days of their admission to hospital. Data are also provided for the proportion of those patients who had surgery within one day of their admission to hospital, and for patients who had surgery on the same day as their hospital admission. While the capacity to capture time of admission and surgery in hospital administrative data varies across countries, most countries are able to distinguish between patients who stay overnight and have surgery within 24 hours from patients who have surgery on the day of admission. Some countries supplied results for surgery within two calendar days only."]
[114,"e2",null,7,"c","Hip fracture: surgery within 2 days",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"mortality-procedures"]
[114,"e2",65,7,"c","Waiting Times for Hip Fracture Surgery after Arrival at Hospital",null,"Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[116,"e2",78,7,"c","Survival rates cancer","Relative survival rate for [selected cancer], all patients by sex, by age group (0-64, 65+), by ","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The relative survival rate for (10 different groups of ) cancer; the proportion of patients who survive at least five years after diagnosis, after correction for background mortality. [1) all cancers combined without non-melanoma skin (ICD codes C00-C97), 2) trachea, bronchus or lung (C33-34), 3) breast (C50), 4) colorectal (C18-C21), 5) prostate (C61) , 6) stomach, 7) melanoma, 8) cervical (C53), 9) leukaemias/lymphomas, 10) all childhood cancers (0-14).]","Relative survival rate is calculated as the observed rate of persons diagnosed with cancer surviving five years after diagnosis, divided by expected survival rate in the general population. Age-standardized 5-year relative survival rate is calculated for the following 10 cancer-groups: 1) all cancers combined without non-melanoma skin (ICD codes C00-C97), 2) trachea, bronchus or lung (C33-34), 3) breast (C50),\n4) colorectal (C18-C21), 5) prostate (C61) , 6) stomach, 7) melanoma, 8) cervical (C53), 9) leukaemias/ lymphomas, 10) all childhood cancers (0-14).","High burden diseases. Cancer survival is an indicator of the effectiveness of a country’s health care system in\nthe area of cancer screening, screening/early detection and treatment. The health care system can improve the survival of certain cancers through early detection and appropriate treatment. Monitoring of a larger array of important cancers is important for the overall effectiveness of the system, including prevention.",null,"Eurocare","• Calendar year\n• Country\n• Region (according to ISARE recommendations; see data availability),\n• Sex (when appropriate).\n• Age group (0-64, 65+)","http://www.eurocare.it/Database/tabid/77/Default.aspx","https://w3.iss.it/site/EU5Results/forms/SA0007.aspx","http://ec.europa.eu/health/indicators/docs/echi_78.pdf"]
[116,"e2","Q-1b",7,"c","Colorectal cancer survival rates (total)",null,"JAF Health (DG EMPL)","A",null,"EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Five-year observed survival for men, women and total population aged 15-99 diagnosed with colorectal cancer (first primary cancer at the specified site) divided by the expected survival of a comparable group from the general population (expressed in percentage).",null,null,null,"OECD"]
[116,"e2","Q-2b",7,"c","Breast cancer survival rates (women)",null,"JAF Health (DG EMPL)","A",null,"EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Five-year observed survival for women aged 15-99 diagnosed with breast cancer (first primary cancer at the specified site) divided by the expected survival of a comparable group from the general population (expressed in percentage).",null,null,null,"OECD"]
[116,"e2",null,7,"c","Survival following acute coronary heart disease event",null,"AIHW. (2014)","D",null,"AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"People aged 40–90 who survive an acute coronary heart disease event (heart attack)."]
[116,"e2","QE-3",7,"c","Breast cancer 5-year relative survival rate (%)",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
[116,"e2",null,7,"c","Surgical intervention for cancer of the stomach: 30-day mortality",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"mortality-procedures"]
[116,"e2",null,7,"c","Surgical intervention for cancer of the colon: 30-day mortality",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"mortality-procedures"]
[116,"e2",null,7,"c","Surgical intervention for cancer of the prostate: readmissions within 30 days",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"mortality-procedures"]
[116,"e2",1,7,"c","5 year Cancer Survival Rates (breast, colorectal, prostate, lung, cervical)",null,"Malta - Grech et al. (2015)","E",null,"Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,"‘The relative survival rate for cancer that is the proportion of patients who survive at least five years after diagnosis, after correction for background mortality’","Relative survival rate is calculated as the observed rate of persons diagnosed with cancer surviving five years after diagnosis, divided by expected survival rate in the general population"]
[116,"e2",153,7,"e/ms","Death or Amputation after Infrainguinal Bypass for Chronic Cricital Ischaemia",null,"Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,"Percentage of deaths or major amputations within 30 days after infrainguinal bypass for chronic cricital ischaemia",null,"Atherosclerosis leads to narrowing or blockage of the arteries. The disease is associated\nwith considerably reduced life expectancy. Circulation in the legs is often\nimpaired. Claudication refers to mild cases when blood flow is insufficient during\nexertion only, causing pain when walking. In more severe cases referred to as chronic\ncritical ischaemia, blood flow is insufficient even during rest, which increases the\nrisk of cold gangrene."]
[116,"e2",89,7,"e/ms","Recurrence of Infarction or Death from Ischaemic Heart Disease",null,"Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,"Percentage of patients who had a new myocardial infarction or died of ischaemic heart disease within 365 days. Age-standardised. \nThis indicator concerns the percentage of myocardial infarction patients who were\ndischarged from hospital and had a new infarction or died of another ischaemic\nheart disease within 365 days.",null,"Ischaemic heart disease is caused by impaired oxygen\nsupply to the heart. The percentage of patients who died or suffered a recurrence\nmay be the result of both acute care and secondary prevention interventions. The\npatient’s condition before and after the first infarction has a fundamental impact\non the outcome."]
[116,"e2",118,7,"c","Colon Cancer Surgery – 30-day and 90-day Case Fatality Rates",null,"Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,"Percentage of deaths within 90 days after colon cancer surgery",null,"The indicator reflects the selection of patients for surgery, as well as the care they received before, during and after the operation."]
[116,"e2",145,7,"c","Bleeding Ulcer – 365-day Case Fatality Rate","Percentage of deaths within one year after hospitalisation for bleeding ulcer. Also includes deaths at hospital. Age-standardised.","Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,"Percentage of deaths within one year after hospitalisation for bleeding ulcer. Also includes deaths at hospital. Age-standardised.",null,"Bleeding ulcer is an acute life-threatening condition that requires hospitalisation.\nThe risk increases substantially with age. Men are at greater risk than women of\ndeveloping a bleeding ulcer."]
[116,"e2","1.4.v.",7,"c","One-year survival from cancers diagnosed at stage 1&2",null,"UK - NHS (2016)","E",null,"NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,"check PHOF 2.19"]
[116,"e2","1.4.vi.",7,"c","Five-year survival from cancers diagnosed at stage 1&2",null,"UK - NHS (2016)","E",null,"NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,"check PHOF 2.19"]
[116,"e2",null,7,"c","Colorectal cancer, five-year relative survival","by gender","UK - Berry (2015)","E",null,"Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,"Survival and mor- tality rates of colorectal cancer are based on ICD-10 codes C18-C21 (colon, rectosigmoid junction, rectum, and anus)."]
[116,"e2",null,7,"c999","30-day and 90-day mortality after surgical intervention for cancer","Percentage of deaths within 30 days and 90 days after surgical intervention for selected cancer.","Consolidated",999,null,null,0]
[117,"e0",123,7,"c","Reoperation for Breast Cancer Due to Tumour Data",null,"Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,"Percentage of women with breast cancer who were reoperated on due to tumour data"]
[117,"e0",124,7,"c","Reoperation for Breast Cancer within 30 Days Due to Complications",null,"Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,"Percentage of women with breast cancer who were reoperated on within 30 days due to complications"]
[118,"e1",20,7,"c","Home health patients whose wounds improved or healed after an operation","Percent of all home health episodes in which a person’s surgical wound is more fully healed compared to a prior assessment. Episodes for which the patient, at start or resumption of care, did not have any surgical wounds or had only a surgical wound that was unobservable are excluded.","CWF State Scorecard","D",null,"D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Percent of all home health episodes in which a person’s surgical wound is more fully healed compared to a prior assessment. Episodes for which the patient, at start or resumption of care, did not have any surgical wounds or had only a surgical wound that was unobservable are excluded.",null,null,null,"2013 and 2014 Outcome and Assessment Information Set (CMS, OASIS n.d.) as reported in CMS Home\nHealth Compare. Data retrieved April 2014 and April 2015 from CMS Home Health Compare (DHHS n.d.)."]
[118,"e1",70,7,"c","Patient-reported Improvement after Spinal Stenosis Surgery",null,"Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,"Percentage of patients who reported that the pain in their legs had disappeared completely or was greatly improved one year after spinal stenosis surgery"]
[118,"e1",159,7,"c","Self-reported Benefit of Cataract Surgery",null,"Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,"Percentage of patients who reported that their visual function had improved three months after cataract surgery"]
[118,"e1","3.1.i.",7,"c","Total health gain as assessed by patients for elective procedures: Physical health-related procedures",null,"UK - NHS (2016)","E",null,"NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,"nA"]
[119,"e1",65,7,"c","Percentage of patients committing suicide while in mental health treatment",null,"Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,"Getting better: Non-acute curative health care - Quality: patient safety"]
[null,null,null,8,999,"QUALITY OF CARE: Effectiveness - Living with illness or disability/chronic care",null,"Consolidated",999]
[122,"i","PAH6",8,"c","Potentially avoidable hospitalisation: Angina without procedure ","Non-primary angina admissions per 10,000 inhabitants aged 40 and older.\nNumerator: Admissions in patients aged 40 and older, with a principal diagnosis of angina, not involving cardiac procedures. Admissions with cardiac procedures and obstetric admissions are excluded.\nDenominator: Population aged 40 and older. ","ECHO","A",null,"ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Non-primary angina admissions per 10,000 inhabitants aged 40 and older","Numerator: Admissions in patients aged 40 and older, with a principal diagnosis of angina, not involving cardiac procedures. Admissions with cardiac procedures and obstetric admissions are excluded.\nDenominator: Population aged 40 and older. ","A first episode of angina is a frequent cause of hospital admission. Once angina is diagnosed and treatment started, pain episodes are prevented or controlled with appropriate follow-up and drug therapy. Except in some insensitive cases of unstable angina, the vast majority of both stable and unstable cases can be managed in an outpatient setting.\n\nAs a consequence, potentially avoidable hospitalizations for angina are widely accepted as a proxy measure of effective outpatient care and, provided that inpatient care is more expensive than outpatient care, a surrogate of efficiency.\n\nUnder the ECHO framework, low rates of hospitalizations for angina may be indicative of effective outpatient care and a more efficient use of resources, at the population level. Conversely, high rates in specific geographic areas may indicate ineffective outpatient care and inefficient use of resources. ",null,"http://www.echo-health.eu/handbook/PAH_angina.html"]
[122,"i","nA",8,"c","Avoidable admissions",null,"EXPH 2014","A",null,"EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"uncontrolled diabetes hospital admission rates."]
[122,"i",null,8,"c","(Avoidable) Congestive heart failure hospital admission in adults","The indicators are defined as the number of hospital admissions with principal diagnosis code of Congestive Heart Failure among people aged 15 years and over per 100 000 population. Rates were age-sex standardised to the 2010 OECD population aged 15 and over.\n","Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[122,"i",null,8,"c","Selected potentially avoidable GP-type presentations to emergency departments",null,"AIHW. (2014)","D",null,"AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The number of presentations to emergency departments in public hospitals that potentially could have been avoided through the provision of non-hospital health services."]
[122,"i",null,8,"c","Visited ED for a condition that could have been treated by a regular doctor, had he/she been available (base: visited ED in past 2 years)",null,"CWF Int. Comparison (2014)","D",null,"K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Efficiency"]
[122,"i","nA",8,"c","Evidence-based care: Preventable hospitalization rate",null,"IOM 2015","D",null,"IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"It encompasses the broades range of potential causes and conditions and also reflects such key health system performance issues as communication with patients, availability of ambulatory resources, care coordination, and social services. It is a relevant measure that captures accountability for a broad range of stakeholder groups. "]
[122,"i","MH-5",8,"c","ER visits for social, mental or psychic reason (% of admission in ER in general hospitals)",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Appropriateness"]
[122,"i",null,8,"c","Hospitalisation rates for ambulatory care sensitive conditions",null,"Portugal HSPA (2010)","E",null,"World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,"Quality, safety and outcomes of health care services"]
[122,"i","2.3.i.",8,"c","Unplanned hospitalisation for chronic ambulatory care sensitive conditions",null,"UK - NHS (2016)","E",null,"NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,"the number of times people with specific long-term conditions, which should not normally require hospitalisation, are admitted to hospital in an emergency. These conditions include, for example, diabetes, convulsions and epilepsy, and high blood pressure.\nThe indirectly standardised rate, per 100,000 population, of emergency admissions for chronic ambulatory care sensitive conditions in the respective quarter of the financial year for people of all ages."]
[122,"i","2.3.ii.",8,"c","Unplanned hospitalisation for asthma, diabetes and epilepsy in under 19s",null,"UK - NHS (2016)","E",null,"NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,"The indirectly standardised rate, per 100,000 population, of emergency hospital admissions for young people with a primary diagnosis of asthma, diabetes or epilepsy in the respective quarter of the financial year and annually.\nThis indicator measures how many times young people (aged 0 to18 inclusive) who have asthma, diabetes or epilepsy are admitted to hospital in an emergency."]
[122,"i",null,8,"c","COPD Hospitalisation Rate",null,"Ireland - NHQSR (2015)","E",null,"Ann Roinn Sláinte Department of Health. (2015). NHQRS-National Healthcare Quality Reporting System - First annual report 2014. Retrieved from Dublin: http://health.gov.ie/wp-content/uploads/2015/03/NHQRS-Annual-Report-2014.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,"The age-sex standardised rate of hospitalisations of people aged 15 years and older with a principal diagnosis of chronic obstructive pulmonary disease (COPD) per 100,000 population.","Numerator:\nNumber of hospital discharges with a principal diagnosis of COPD in a specified year, ages 15 and over.\nDenominator:\nPopulation aged 15 years and older.","2. Supporting people with long term conditions: Ambulatory care sensitive conditions"]
[123,"e0",null,8,"c","Major lower extremity amputation in adults with diabetes","Age-sex standardised rates per 100 000 people with diabetes","Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[125,"e2","nA",8,"c","Percentage of persons discharged from hospital who are readmitted within 30 days",null,"ESIF for Health 2015","A",null,"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Transition to community-based care, development of long-term care and after care"]
[125,"e2",null,8,"c","Emergency Readmissions",null,"Smith et al. (2016)","A",null,"Smith PC, Cylus J & Papanicolas I (2016) Efficiency book, European Observatory …",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Emergency readmission measures, sometimes called unplanned readmissions, provide information on whether a patient has been re-admitted for any cause to any hospital within a short period of time. Often this period of time is around 30 days, however in practice this can vary. This data is often reported in administrative data or patient records, and sometimes is adjusted for patient characteristics that make readmission more likely (such as patients age, or known co-morbidities). ",null,"What does it tell you, and what does it not tell you?\n\nEmergency readmissions can be indicative of poor quality care, and an inefficient use of resources, which go towards treating the patient again. Emergency readmissions may be indicative of patients being discharged too early and/or receiving substandard care in hospital. \n\nHowever, emergency readmission may also be impacted by factors outside the hospital’s control, such as other complicating illnesses, patient’s lifestyle choices and behaviors, and care provided to patients after discharge.  \n\nFinally, emergency readmissions may also be indicative of good care; if for example hospitals are better able to successfully treat very ill patients, and indeed save their lives, they are likely to have higher readmission rates than hospitals that have higher mortality rates. \n\nWhat should you next if you find variation?\n\nIf providers, or indeed countries, have different readmission rates, or readmission rates change over time, it is important to find out which of these explanations may apply. \n\nBefore coming to the conclusion that providers with high emergency readmission rates are inefficient, it is important to rule out some of the other explanations outlined above. As a first step it may be useful to explore the cause of readmissions for particular hospitals, are they driven by particular clinical conditions or events? Do they change for particular sub-groups of patients? Exploring the patient characteristics of different hospitals may also provide further information, and help to ensure that a needier population does not account for the higher readmission rates. This should be done even if readmission rates are adjusted for patient characteristics, for example it is likely that a hospital in a deprived area will have different readmission rates as compared to a hospital in an affluent area even when controlling for age and co-morbidity. This may also capture other factors such as the presence of a social network after discharge or the patient’s capacity for managing their own care. Exploring whether the proportion of patients readmitted through the emergency room versus being transferred from other facilities may also help to better understand the nature of readmissions. \n\nIt may also be useful to explore the relationship between readmission rates and other measures of hospital quality, such as mortality rates or even process and throughput measures such as patient discharge consultations, medical errors, waiting times or length of stay. \n\nTo explore variation in readmission rates across countries it may be useful to explore additional avenues. For example, it may be useful to ensure that the readmissions are measured the same way, to ensure the time period; providers and conditions included in the national definitions are also consistent. "]
[125,"e2",null,8,"c","Surgical Patients Readmitted to Hospital ",null,"CIHI In Depth (2014)","D",null,"CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"risk-adjusted rate of urgent readmissions to acute care facilities within 30 days of discharge for the surgical patient group","his indicator examines the risk-adjusted rate of urgent readmissions to acute care facilities within 30 days of discharge for the surgical patient group. The risk-adjusted rate is calculated by dividing the observed number of readmissions by the expected number of readmissions and multiplying by the Canadian average.","Urgent returns to hospital are difficult for patients and costly for the health system. This indicator looks at how many surgical patients were readmitted to hospital within 30 days of their initial discharge. While not all readmissions can be prevented, the rate can often be reduced through better follow-up and coordination of care for patients after discharge.\nLower is better. Lower readmission rates may suggest effective interventions during and after a hospitalization.",null,"·      Canadian Institute for Health Information",null,null,"http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=1114179"]
[125,"e2","2.2.",8,"c","Acute readmissions",null,"MoH New Zealand 2016","D",null,"Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"nA",null,"‘Using health resources effectively’ "]
[125,"e2",null,8,"c","Heart Failure: readmissions within 30 days",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"mortality-procedures",null,null,null,null,null,"http://95.110.213.190/PNEed14_EN/risultati/protocolli/pro_201.pdf"]
[125,"e2",null,8,"c","Myocardial Infarction (MI): proportion of Admissions within 2 days",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"mortality-procedures",null,null,null,null,null,"http://95.110.213.190/PNEed14_EN/risultati/protocolli/pro_90.pdf"]
[125,"e2",108,8,"c","Readmission for Stroke",null,"Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,"the percentage of patients who were readmitted to hospital for stroke within 365 days of their initial care episode. Age-standardised.",null,"The percentage of readmissions to hospital among first-ever stroke patients can provide\na gauge of the efficacy of secondary prevention interventions. Among such\ninterventions are lifestyle changes mediated through smoking cessation, dietary\ncounselling, assistance with physical activity, drug therapy (antihypertensives, lipid\nlowering drugs and antithrombotics) and carotid endarterectomy. Along with\nsurvival and readjustment to daily life, recurrence is a basic outcome measure for\nstroke care. This is also the motive for presenting this indicator, in spite of existing\ndifficulties to correctly measure readmission rates for stroke."]
[128,"e0",162,8,"s","Unscheduled Readmission to an Intensive Care Unit","Percentage of patients with unscheduled readmission within 72 hours to the same intensive care unit","Sweden - Socialstyrelsen. (2013)","E",{"$f":"COUNTIF(L1118:BB1118,\">0\")","v":1},"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"Percentage of patients with unscheduled readmission within 72 hours to the same intensive care unit"]
[129,"e0",null,8,"c","Schizophrenia re-admissions to the same hospital, 2011 (Age-sex standardised rates per 100 patients)",null,"UK - Berry (2015)","E",null,"Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[129,"e0",null,8,"c","Bi-polar re-admissions to the same hospital, 2011 (Age-sex standardised rates per 100 patients).",null,"UK - Berry (2015)","E",null,"Berry, N. (2015). How does the NHS compare with health systems in other countries? Retrieved from http://www.health.org.uk/sites/default/files/HowDoesTheNHSCompareWithHealthSystemsInOtherCountries.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[131,"e0",null,8,"e/ms","Patient Flow for Hip Replacement",null,"CIHI In Depth (2014)","D",null,"CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"nA","nA","nA",null,"·      Canadian Institute for Health Information"]
[132,"i","2.",8,"s","Health-related quality of life for people with long-term conditions","The directly standardised average (mean) EQ-5D™ score for people self-reporting one or more long-term conditions.\nThis indicator measures health-related quality of life for people who identify themselves as having one or more long-standing health conditions. Health-related quality of life refers to the extent to which people: i) have problems walking about; ii) have problems performing self-care activities (washing or dressing themselves); iii) have problems performing their usual activities (work, study etc.); iv) have pain or discomfort;","UK - NHS (2016)","E",{"$f":"COUNTIF(L1133:BB1133,\">0\")","v":1},"NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",{"$f":"COUNTIF(L1134:L1136,1)","v":0},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,"The directly standardised average (mean) EQ-5D™ score for people self-reporting one or more long-term conditions.\nThis indicator measures health-related quality of life for people who identify themselves as having one or more long-standing health conditions. Health-related quality of life refers to the extent to which people: i) have problems walking about; ii) have problems performing self-care activities (washing or dressing themselves); iii) have problems performing their usual activities (work, study etc.); iv) have pain or discomfort;",null,null,null,"GP Patient Survey (GPPS) from Ipsos MORI (http://www.gp-patient.co.uk/) – Official Statistics"]
[133,"e1","2.4.",8,"s","Health-related quality of life for carers","The directly standardised average (mean) EQ-5DTM score for individuals reporting that they are carers, measured based on responses to the GP Patient Survey.","UK - NHS (2016)","E",{"$f":"COUNTIF(L1137:BB1137,\">0\")","v":1},"NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,"The directly standardised average (mean) EQ-5DTM score for individuals reporting that they are carers, measured based on responses to the GP Patient Survey."]
[null,null,null,8,999,"Follow-up",null,"Consolidated",999,null,null,0]
[135,"e0",146,8,"s","Monitoring Patients after Bariatric Surgery","The percentage of patients who have been monitored at oneyear follow-up after bariatric surgery","Sweden - Socialstyrelsen. (2013)","E",{"$f":"COUNTIF(L1143:BB1143,\">0\")","v":1},"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"the percentage of patients who have been monitored at oneyear follow-up after bariatric surgery"]
[137,"e1","3.5.ii.",8,"c","Hip fracture: Proportion of patients recovering to their previous levels of mobility/walking ability at 120 days","The proportion of patients, expressed as a percentage, with a hip fracture recovering to their previous levels of mobility at 120 days after admission.","UK - NHS (2016)","E",null,"NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,"The proportion of patients, expressed as a percentage, with a hip fracture recovering to their previous levels of mobility at 120 days after admission."]
[139,"e0",169,8,"s","Improvement after Treatment for Macular Degeneration","Percentage of patients (eyes) who could read at least one more row on the ETDRS eye chart one year after treatment for macular degeneration","Sweden - Socialstyrelsen. (2013)","E",{"$f":"COUNTIF(L1151:BB1151,\">0\")","v":1},"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"Percentage of patients (eyes) who could read at least one more row on the ETDRS eye chart one year after treatment for macular degeneration"]
[141,"e2",null,8,"s","Percentage of people treated successfully among laboratory confirmed pulmonary tuberculosis (TB) cases who completed treatment","Cure rate or treatment success (those cured plus those successfully completed tx without bacteriologic evidence) of sputum smear positive pulmonary TB cases is the most reliable indicator. TB cases registered under a national TB control programme in a given year that successfully completed treatment (without bacteriological evidence of success).\nAt the end of treatment, each patient is assigned one of the following five mutually exclusive treatment outcomes: completed, died, failed, defaulted or transferred out with outcome unknown. The cases assigned to these outcomes, plus any additional cases registered for treatment but not assigned to an outcome, add up to 100% of cases registered.","WHO Health 2020","C",{"$f":"COUNTIF(L1153:BB1153,\">0\")","v":1},"WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Cure rate or treatment success (those cured plus those successfully completed tx without bacteriologic evidence) of sputum smear positive pulmonary TB cases is the most reliable indicator. TB cases registered under a national TB control programme in a given year that successfully completed treatment (without bacteriological evidence of success).\nAt the end of treatment, each patient is assigned one of the following five mutually exclusive treatment outcomes: completed, died, failed, defaulted or transferred out with outcome unknown. The cases assigned to these outcomes, plus any additional cases registered for treatment but not assigned to an outcome, add up to 100% of cases registered.",null,"Treatment success is an indicator of the performance of national TB control programmes. In addition to the obvious benefit to individual patients, successful treatment of infectious cases of TB is essential to prevent the spread of the infection.\nDetecting and successfully treating a large proportion of TB cases should have an immediate impact on TB prevalence and mortality. By reducing transmission, successfully treating the majority of cases will also affect, with some delay, incidence of the disease.",null,"WHO global TB report (46)","nA"]
[143,"e0",null,8,"c","Suicide following hospitalisation for a psychiatric disorder, within 30 days and one year of discharge","Suicide within 30 days and within one year of discharge is established by linking discharge following hospitalisation with a principal diagnosis or first two listed secondary diagnosis code of mental health and behavioural disorders (ICD-10 codes F10-F69 and F90-99), with suicides recorded in death registries (ICD-10 codes: X60-X84). In cases with several admis- sions during the reference year, the follow-up period starts from the last discharge.\nThe data have been age-sex standardised to the 2010 OECD population structure, to remove the effect of different population structures across countries.","Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The inpatient suicide indicator is composed of a denominator of patients discharged with a principal diagnosis or first two listed secondary diagnosis code of mental health and behavioural disorders (ICD-10 codes F10-F69 and F90-99) and a numerator of the number of patients who committed “suicide” (ICD-10 codes: X60-X84). There are often fewer than ten inpatient suicides in a given year, meaning that reported rates can vary. Where possible a 3-year average has been calculated to give more stability to the indicator. \nSuicide within 30 days and within one year of dis- charge is established by linking discharge following hospitalisation with a principal diagnosis or first two listed secondary diagnosis code of mental health and behavioural disorders (ICD-10 codes F10-F69 and F90-99), with suicides recorded in death registries (ICD-10 codes: X60-X84). In cases with several admis- sions during the reference year, the follow-up period starts from the last discharge.\nFor the excess mortality indicators the numerator is the overall mortality rate for persons aged between 15 and 74 years old ever diagnosed with schizophrenia or bipolar disorder. The denominator is the overall mor- tality rate for the general population aged between 15 and 74 years old. The relatively small number of people with bipolar disorder dying in any given year can cause substantial variations from year to year in some countries. The available data in most countries did not allow the calculation of 2-year averages.\nThe data have been age-sex standardised to the 2010 OECD population structure, to remove the effect of different population structures across countries.","Numerator: Number of patients among denominator cases that committed suicide (ICD-10 codes: X60-X84) within 1 year/30 days after discharge.\nDenominator: Number of patients discharged alive with a principal diagnosis or first two listed secondary diagnosis code of mental health and behavioural disorders (ICD-10 codes F10-F69 and F90-99) in the reference year. In cases with several admissions during the reference year, the follow up period starts from the last discharge (discharge from a hospital and thus not from one department to another).\nNB: This indicator requires data that links hospital records with deaths after discharge."]
[144,"e2",74,8,"c","Medicine use, selected groups, self-reported","Proportion of people by age group (15+, 15-64, 65+), by sex and by education level (ISCED 0-2, 3-4, 5-6) who report having used antibiotics or medication for asthma, COPD, high blood pressure, cardiovascular diseases, diabetes, tension/anxiety and depression prescribed by a physician during the past 2 weeks.","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Percentage of population who report having used antibiotics or medication for asthma, COPD, high blood pressure, cardiovascular diseases, diabetes, tension/anxiety and depression prescribed by a physician during the past 2 weeks.","Percentage of population who report having used antibiotics or medication (for asthma, COPD, high blood pressure, cardiovascular diseases (total of medication for high blood pressure, lowering blood cholesterol  and other cardiovascular diseases, such as stroke and heart attack), diabetes, tension/anxiety and depression) prescribed by a physician during the past 2 weeks, derived from the European Health Interview Survey (EHIS) questions W2_S 38, W2_S 39 and W2_S 40.\n• W2_S 38 During the past two weeks, have you used any medicines (including dietary supplements such as herbal medicines or vitamins) that were prescribed for you by a doctor – (for women, please also state: exclude also contraceptive pills or other hormones)? (yes/no).\n• If yes: W2_S 39 Were they medicines for…?\na) Asthma\nb) Chronic bronchitis, chronic obstructive pulmonary disease, emphysema\nc) High blood pressure\nd) Lowering the blood cholesterol level\ne) Other cardiovascular disease, such as stroke and heart attack f )  Pain in the joints\ng) Pain in the neck or back\nh) Headache or migraine\ni) Diabetes\nj) Allergic symptoms (eczema, rhinitis, hay fever)\nk) Stomach troubles\nl) Depression\nm) Tension or anxiety\n• W2_S 40 Have you used in the past two weeks other types of medicines that were prescribed to you, such as …? (yes/no) If yes:\nn) N. Sleeping tablets\no) O. Antibiotics such as penicillin (or any other national relevant example)","Indicates aspects of accessibility, up-to-date quality of care, and costs. Large differences between countries may point to under-use as well as over-use. However, a benchmark value cannot be given because several different factors can influence the use of a medicine.",null,"Eurostat (EHIS)","• Country\n• Calendar year\n• Sex\n• Age group (15-64, 65+)\n• Socio-economic status (educational level. ISCED 3 aggregated groups: 0-2; 3+4; 5+6)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_hc7&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_det_esms.htm","http://ec.europa.eu/health/indicators/docs/echi_74.pdf"]
[145,"e2",null,8,"c","People with diabetes with a prescription of recommended antihypertensive medication in the past year",null,"Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[145,"e2",null,8,"c","Pharmaceutical consumption: Antihypertensive drugs consumption ","by Defined daily dose (DDD) per 1 000 people","Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Defined daily dose (DDD) is the assumed average maintenance dose per day for a drug used for its main indication in adults. DDDs are assigned to each active ingredient(s) in a given therapeutic class by international expert consensus. For instance, the DDD for oral aspirin equals 3 grams, which is the assumed maintenance daily dose to treat pain in adults. DDDs do not necessarily reflect the average daily dose actu- ally used in a given country. DDDs can be aggregated within and across therapeutic classes of the Anatomic- Therapeutic Classification (ATC). For more detail, see www.whocc.no/atcddd.\nThe volume of hypertension drugs consumption refers to the sum of five ATC2 categories which can all be prescribed against hyper- tension (antihypertensives, diuretics, beta-blocking agents, calcium channel blockers and agents acting on the renin-angiotensin system).\nData generally refer to outpatient consumption only, except for the Czech Republic, Estonia, Italy and Sweden where data also include hospital consumption."]
[145,"e2","6.7.",8,"c","Antibiotics/capita",null,"EHCI 2015","D",null,"Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"ATC code J01, DDD/1000 inhabitants per day",null,null,null,"ECDC: Consumption of antibiotics by antibiotic group in 30 EU/EEA countries, 2014, IMS MIDAS database, 12 months ending June 2013"]
[145,"e2","QA-5",8,"c","Use of antibiotics of second intention (% total DDD antibiotics)",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Antibiotics of second intention are: amoxycilline with clavulanic acid, macrolides, cephalosporins and quinolones.",null,"Appropriateness"]
[145,"e2",10,8,"c","Regular Treatment with Soporifics or Sedatives",null,"Sweden - Socialstyrelsen. (2015)","E",null,"Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,"Individuals regularly using (\u008b0.5 DDD/day) benzodiazepines per 1 000 inhabitants, 20–79 years old. Age-standardised."]
[146,"e1",null,8,"s","Percentage of people consuming selected medication","*) Use of antibiotics at least once in the year (% of population)\n*) Use of antidepressants (% of adult population, at least once in the year)\n*) Rheumatoid arthritis – percentage of patients age 18 and older treated with biologic drugs.\n*) Number of people age 20–79 with regular and high consumption of soporifics or sedatives per 100 000 inhabitants. Age-standardised.","Consolidated","E",{"$f":"COUNTIF(L1183:BB1183,\">0\")","v":2},"Consolidated",{"$f":"COUNTIF(L1184:L1188,1)","v":0},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0]
[146,"e1",132,8,"c","Regular Treatment with Soporifics or Sedatives","Number of people age 20–79 with regular and high consumption of soporifics or sedatives per 100 000 inhabitants. Age-standardised.","Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,"Number of people age 20–79 with regular and high consumption of soporifics or sedatives per 100 000 inhabitants. Age-standardised.",null,"Benzodiazepines and related medications are the internationally accepted drugs\nfor short-term treatment of pathological anxiety and temporary sleep disturbances.\nThey are also used for mild forms of uneasiness and anxiety. Benzodiazepines are\nprescribed most often by general practitioners, as well as by psychiatrists and occasionally\nby internists."]
[147,"e1",103,8,"c","Patients Treated at a Special Stroke Unit",null,"Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,"Percentage of patients treated at a special stroke unit"]
[148,"e0",null,8,"c","Proportion of people with diabetes with a GP annual cycle of care",null,"AIHW. (2014)","D",null,"AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The proportion of people with diabetes who received a Medicare Benefits Scheme-funded\nGP annual cycle of care.\nThis indicator underestimates and misrepresents the proportion of people who have a GP annual cycle\nof care. The indicator is based on MBS claims for the diabetes cycle of care item, however, not all GPs\nare eligible for or choose to make these claims, and many people with diabetes have these checks\nthrough other means. As a result, the data presented are incomplete and results in a misleading\npicture of the current management of people with diabetes. The AIHW has judged that it is no longer\nappropriate to report on the proportion of people with diabetes who complete a GP annual cycle of\ncare indicator. Hence, this indicator has not been reported in Australia’s health 2014."]
[148,"e0",null,8,"c","Proportion of people with asthma with a written asthma action plan","The proportion of participants in the National Health Survey who reported having asthma, who said they had a written asthma action plan. An asthma plan is generally prepared for patients with asthma by a health-care professional and provides written instructions on how to recognise and respond to worsening asthma.","AIHW. (2014)","D",null,"AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The proportion of participants in the National Health Survey who reported having asthma, who said they had a written asthma action plan. An asthma plan is generally prepared for patients with asthma by a health-care professional and provides written instructions on how to recognise and respond to worsening asthma."]
[148,"e0","nA",8,"c","Evidence-based care: Hypertension control","To be defined [These three measures deal with major chronic diseases and the extent to which they are managed by both clinicians and patients, and their selection reflects the significant and growing impact of these behavior-linked diseases on both the health of Americans and the cost of American health care.]","IOM 2015","D",null,"IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"These three measures deal with major chronic diseases and the extent to which they are managed by both clinicians and patients, and their selection reflects the significant and growing impact of these behavior-linked diseases on both the health of Americans and the cost of American health care."]
[148,"e0","nA",8,"c","Proportion of adult diabetics (under insulin) not receiving regular retinal exams, test of serum creatinine and blood tests (% of patients) (by reimbursement categories)",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"No regular contacts with dentist is defined as patients who do not have at least at 2 contacts on 2 different years over a three year period."]
[148,"e0",null,8,"c","Use of PCI on the first day of admission among those who received PCI",null,"Hungary HSPA (2014)","E",null,"Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Cardiology/stroke: Timeliness"]
[148,"e0",null,8,"c","Appropriateness of the practice of care for patients who have undergone oncological surgery in the case of colorectal tumour",null,"Hungary HSPA (2014)","E",null,"Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,"Done, but the further application of the indicator is not advised, or only with precautions",null,"Oncology: Appropriateness"]
[148,"e0",150,8,"c","Use of Antibiotics prior to Cholecystectomy",null,"Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,"The indicator shows the percentage of elective cholecystectomies for which antibiotic prophylaxis is given.",null,"Whether antibiotics are required prior to elective cholecystectomy in order to prevent\npostoperative infection has long been a topic of debate. Quite a few studies, including\none based on a relatively large number of patients in the Swedish National\nRegister for Gallstone Surgery and ECRP, have found that antibiotic prophylaxis\ndoes not reduce the risk. Thus, the current recommendation is that it not be administered."]
[148,"e0",115,8,"c","Achievement of Blood Pressure Goals during Haemodialysis","Percentage of haemodialysis patients who achieved the blood pressure goal (< 140/90 mm Hg)","Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,"Percentage of haemodialysis patients who achieved the blood pressure goal (< 140/90 mm Hg)",null,"this indicator serves mostly to bring existing differences to\nthe surface. Comparisons over time reveal that the percentage of patients whose\nblood pressure is below the recommended upper limit is continuing to increase."]
[148,"e0",90,8,"c","Reperfusion Therapy for Patients with ST-segment Elevation Myocardial Infarction (STEMI)",null,"Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,"Percentage of STEMI patients, age 79 and younger, who received reperfusion therapy within the target time.\nThe indicator reflects the percentage of myocardial infarction patients with Stsegment elevation or LBBB on the EKG who received acute reperfusion therapy."]
[148,"e0",91,8,"c","Time until Reperfusion Therapy for Patients with ST-segment Elevation Myocardial Infarction (STEMI)",null,"Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,"The indicator looks at the percentage of STEMI patients for whom reperfusion therapy commenced within the target time (90 minutes for PCI and 30 minutes for thrombolysis) after the initial EKG.",null,"The shorter the delay, the greater the chances that reperfusion therapy will succeed.\nThe international limit of 30 minutes for thrombolytic therapy is based on the time\nrequired to complete the various preparatory steps. The 90-minute deadline for\nPCI, which is a more complex procedure, stems from its incontrovertible medical\nadvantages, assuming that transport to the hospital or the delay after pre-hospital\nEKG can be held down to that time.\nDefining initial EKG as the starting point places the responsibility squarely in the\nlap of the healthcare system. The total time from the onset of chest pain and other\nsymptoms of myocardial infarction to commencement of therapy is also a function\nof reactions by the patient, family members, hotline and emergency service centre,\nas well as the distance to the clinic."]
[148,"e0",96,8,"c","Restenosis of the Coronary Artery after PCI",null,"Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,"The indicator presents the percentage of patients who developed restenosis within 12 months after PCI among those who had a follow-up angiogram due to recurrent discomfort."]
[148,"e0",98,8,"c","Drug Therapy for Heart Failure",null,"Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,"The indicator shows the percentage of patients hospitalised for heart failure who received both RAAS inhibitors and beta blockers. Patients who had been hospitalised for heart failure during the preceding 365 days were excluded."]
[148,"e0",83,8,"c","Persons with Diabetes in Primary Care Who Achieve the Goal for LDL Cholesterol Levels",null,"Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,"Percentage of persons with diabetes, younger than 80, in primary care who achieved the LDL cholesterol goal (< 2.5 mmol/l)"]
[148,"e0",84,8,"c","Children and Adolescents with Diabetes Who Achieve the Goal for HbA1c Levels",null,"Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,"Percentage of children and adolescents with diabetes age 18 and younger who reached the goal for HbA1c (< 52 mmol/mol)"]
[148,"e0",null,8,"c","Stroke performance: Physiotherapy assessment within the first 72 hours of admission",null,"UK - Bevan et al. (2014)","E",null,"Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[148,"e0",null,8,"c","Stroke performance: Mood assessed by discharge",null,"UK - Bevan et al. (2014)","E",null,"Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[148,"e0",null,8,"c999","Diabetes control","nA [Proportion of adult diabetics receiving appropriate care, in terms of regular retinal exams.]","Consolidated",999,null,null,0]
[null,null,null,8,999,"Mental health",null,"Consolidated",999,null,null,0]
[150,"e0",null,8,"c","Rate of patients discharged from acute psychiatric/addictology ward within a week",null,"Hungary HSPA (2014)","E",null,"Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,"Done and its further application is advised",null,"Psychiatry/addictology: Appropriateness"]
[151,"e1",null,8,"s","Percent of population with a usual source of care","Percent of adults ages 18 and older who have one (or more) person they think of as their personal healthcare provider.","Consolidated","D, E",{"$f":"COUNTIF(L1267:BB1267,\">0\")","v":6},"Consolidated",{"$f":"COUNTIF(L1268:L1281,1)","v":0},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,3,0,1,4,4,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
[151,"e1","nA",8,"c","Care access: Usual source of care",null,"IOM 2015","D",null,"IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[151,"e1","1.2., 5.11.",8,"c","New-born enrolment rate",null,"MoH New Zealand 2016","D",null,"Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"nA",null,"‘Keeping children out of the hospital’. ‘Healthy start’"]
[151,"e1",null,8,"c","Proportion of contacts with the usual GP (%)(UPC index)","nA","Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
[152,"e0","QC-3",8,"s","GP encounter within 7 days after hospital discharge (% patients 65+)",null,"Belgium - Vrijens et al. (2015)","E",{"$f":"COUNTIF(L1282:BB1282,\">0\")","v":2},"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[157,"e1",null,8,"s","When primary care physicians refer a patient to a specialist, they always or often receive a report back with all relevant health information","Survey question. ","CWF Int. Comparison (2014)","D",2,"K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,"Coordinated Care","percent"]
[158,"e0",null,8,"s","When primary care physicians refer a patient to a specialist, they always or often receive information about changes to a patients medication or care plan","Survey question. ","CWF Int. Comparison (2014)","D",2,"K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,"Coordinated Care","percent"]
[162,"e0",null,8,"s","Receive written plan for care after discharge (base: those hospitalized or having surgery within past 2 years)","Survey question. ","CWF Int. Comparison (2014)","D",1,"K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,null,"Coordinated Care","percent"]
[166,"e0",null,8,"c","Patient experienced delays in being notified about abnormal test results in past 2 years (base: had a lab test ordered)",null,"CWF Int. Comparison (2014)","D",null,"K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Safe Care","percent"]
[168,"e0","EOL-2",9,"s","Start of palliative care very close to death","Proportion of patients who started receiving palliative care and died within one week.\nNumerator: Number of patients who started palliative care and died within the week.\nDenominator: Total number of patients who received palliative care services before their death.","Belgium - Vrijens et al. (2015)","E",{"$f":"COUNTIF(L1300:BB1300,\">0\")","v":1},"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Proportion of patients who started receiving palliative care and died within one week.","Numerator: Number of patients who started palliative care and died within the week.\nDenominator: Total number of patients who received palliative care services before their death.","The start of palliative care is sometimes delayed until patients are in terminal phase. This can denote either problems of accessibility of end of life care, either that the decision to start palliative care was taken too late.",null,"Belgian Cancer Registry (BCR), linked with IMA data"]
[169,"e0","EOL-4",9,"c","Death at usual place of residence (home or in residential care) (% of terminal cancer patients who died in the year)",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
[170,"e0",125,9,"c","Percentage of cases of continuous deep sedation in which artificial hydration or nutrition is administered",null,"Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,"End-of-life care - Quality: palliative sedation"]
[171,"e0",115,9,"c","Percentage of deaths due to intensification of pain and symptom relief",null,"Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,"End-of-life care - Accessibility (and availability): end-of-life decisions"]
[172,"e0",164,9,"c","Assessment of Pain Intensity at End of Life",null,"Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,"Percentage of patients at the end of life who assessed pain intensity on the VAS/NRS scale"]
[174,"e0",null,9,"s","Perceived quality of end-of-life care according to relatives","This indicator refers to following individual indicators: \n*) Degree to which relatives report being treated well by care providers. \n*) Degree to which relatives report care providers having discussed the end of life with patients and relatives and aftercare with relatives. \n*) Degree to which relatives report having the opportunity to be alone with the patients. \n*) Degree to which relatives report being supported by care providers after the death of the patients. ","Consolidated","E",{"$f":"COUNTIF(L1317:BB1317,\">0\")","v":1},"Consolidated",{"$f":"COUNTIF(L1318:L1321,1)","v":0},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0]
[174,"e0",123,9,"ms","Percentage of hospital protocols for palliative sedation matching the Royal Dutch Medical Association (KNMG) guideline",null,"Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,"End-of-life care - Quality: palliative sedation"]
[176,"e0","3.4.",10,"c","Sentinel events in hospital and primary care","Wikipedia: A Sentinel Event is defined by The Joint Commission (TJC) as any unanticipated event in a healthcare setting resulting in death or serious physical or psychological injury to a patient or patients, not related to the natural course of the patient's illness. Sentinel events specifically include loss of a limb or gross motor function, and any event for which a recurrence would carry a risk of a serious adverse outcome. ","MoH New Zealand 2016","D",null,"Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"nA",null,"‘Person centred care’"]
[177,"e2",null,10,"s","Complications during/following delivery","Including complications during/following delivers: \n*) Obstetric trauma, vaginal delivery with/without instrument: The two obstetric trauma indicators are defined as the proportion of instrument assisted/non-assisted vaginal deliveries with third- and fourth-degree obstetric trauma codes in any diagnosis and procedure field per 100 instrument-assisted/non-assisted vaginal delivers.  Therefore, any differences in the definition of principal and secondary diagnoses have no influence on the calculated rates. \n*) Cesarean delivery: complications during the delivery and puerperium (admitting hospital). ","Consolidated","A, B, D, E",{"$f":"COUNTIF(L1330:BB1330,\">0\")","v":8},"Consolidated",{"$f":"COUNTIF(L1331:L1344,1)","v":0},1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,2,0,6,0,1,0,0,0,1,0,1,0,0]
[177,"e2","R7",10,"c","Prevalence of tears to the perineum",null,"Europeristat (R) ","A",null,"Euro-Peristat. (2012). Euro-Peristat project - Better statistics for better health for pregnant women and their babies.   Retrieved from http://www.europeristat.com/",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"the number of women who had a first-, second-, third-, or fourth-degree tear of the perineum expressed as a proportion of all women who had a vaginal delivery. Presented for all vaginal deliveries and then for non-instrumental and instrumental separately.\nCategories as follows (ICD10) 1st degree tear (ICD O70.0) involves the fourchette, perineal skin and vaginal membrane. \n2nd degree tear (ICD O70.1) includes the skin and mucous membrane, and the fascia and muscles of the perineal body.\n3rd degree tear (ICD O70.2) extends through skin, mucous membrane and perineal body and involves the muscle of the anal sphincter.\n4th degree tear (ICD O70.3) extends through the rectal mucosa to expose the lumen of the rectum."]
[177,"e2",6,10,"c","Episiotomy rate among homebirths",null,"Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,"Antenatal, perinatal and postpartum care - Quality: midwifery"]
[177,"e2",14,10,"c","Rate of perineal tears among unassisted vaginal deliveries",null,"Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,"Antenatal, perinatal and postpartum care - Quality: secondary and tertiary obstetric care"]
[179,"e1",null,10,"s","Complications during/following surgery","Including complications during/following surgery (e.g. hysterectomy, uterine prolapse surgery, hip arthroplasty): \nSurgical complications: Foreign body left in during procedure per 100.000 hospital discharges, \nSurgical complications: Postoperative pulmonary embolism (PE) or deep vein thrombosis (DVT) in hip and knee surgeries [Incidence of post-operative pulmonary embolism or deep vein thrombosis, after hip or knee replacement (/100 000 hip or knee surgery discharges)], \nSurgical complications: Postoperative sepsis [Postoperative sepsis cases (as secondary diagnosis) per 1,000 total or elective surgical discharges for patients aged 18 years and older. Excludes cases with a principal diagnosis of sepsis or infection, cases with an immunocompromised state, cases with cancer, obstetric discharges, and cases with stays of less than four (4) days], \n","Consolidated","A, B, D, E",{"$f":"COUNTIF(L1346:BB1346,\">0\")","v":9},"Consolidated",{"$f":"COUNTIF(L1347:L1367,1)","v":1},2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,0,0,2,0,0,2,0,1,0,8,0,0,1,0,0,0,0,0]
[179,"e1",82,10,"c","Surgical wound infections","To be developed","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"To be developed (see key issues and problems)","Several efforts by ECDC, OECD, WHO, SImPatIE project to define indicator and collect data. However, data availability and comparability is restricted and definitions vary:\n\n1) ECDC:\na) the cumulative incidence of surgical site infections (SSI): which is the crude percentage of operations resulting in a SSI,\nb) the incidence density, which is the number of SSI per 1,000 post-operative days at risk (i.e. without  prior SSI) in the hospital. The incidence density is the preferred measure for the comparison of  incidence between countries as it uses only observations during the hospital stay in both numerator and denominator, and comparisons are therefore less affected by variation in length of post-operative stay\nor intensity of case-finding post-discharge. However, the incidence density can only be calculated when the discharge date is known. Therefore, a third indicator was added in 2008: the cumulative incidence excluding postdischarge infections.\n\n2) WHO: Average rate (in all hospitals) of inpatient surgical operations with postoperative surgical wound infection (i.e. with code for postoperative wound infections, ICD-9: 998.5 and ICD-10: T81.4) during the given calendar year, expressed as percentage of all surgical operations.\n\n3) Safety Improvement for Patients in Europe, SImPatIE recommendation: Percent of patients experiencing a wound infection (ICD-9 998.51 and 998.52; secondary diagnosis only) out of all hospitalised patients. (Indicator PSI 11: Wound Infection)\n\n4) OECD: Assessment by Patient Safety Panel-project: It is unlikely that standardized comparable data to support the indicator of Wound Infection are available consistently across OECD countries. Therefore OECD has given up about five years ago to try to collect data on the indicators surgical wound infections and catheter-related bloodstream infections. In the latter case, the remaining ambiguities in the definition (whether it should include or exclude inflammatory conditions) and more than 100-fold variation between the minimum and maximum values, make this indicator unfit for reporting purposes. In the recent years, OECD has focused their effort more specifically on postoperative sepsis:\n- Numerator: Number of hospital discharges with a sepsis as a secondary diagnosis. The following ICD codes are included:\n- ICD-9-CM: 038.* Septicaemia, 755.5* Septic shock, 998.0 Postoperatice shock\n- ICD-10-WHO: A40.*-A41.* Septicaemia, R57.8 Other schock, T81.1 Procedure shock\n- Denominator: All elective surgical discharges of patients 15 years and older, excluding pre-existing sepsis or infection, immunocompromised state, MDC 14 (pregnancy, childbirth, and puerperium) and a short length of stay.\nData on postoperative sepsis were published in the Health at a Glance 2011 edition for Germany, Denmark, France, Sweden, Belgium, Spain, and Ireland, as well as for a number of non-EU countries (Israel, United States, New Zealand, Australia, Switzerland, and Canada).\n\nIt is yet not clear whether one of the existing data collection initiatives can serve as an appropriate base for gathering in a sustainable way high quality, comparable data, with adequate EU coverage, which can be used by ECHIM in the future.","Indicator for the safety of operative interventions. Wound infection can lead to re-operation and prolonged hospital stay, to increased morbidity and mortality for patients and to increased costs for the health care\nsystem. Amenable to interventions: the incidence of wound infection can be reduced by proper pre-, intraand post-operative care, in particular strict hygiene.",null,"n.a.","nA","nA","nA","nA"]
[179,"e1",null,10,"c","Surgical complications: Postoperative sepsis in abdominal surgeries","per 100.000 hospital discharges","Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Surgical complications are defined as the number of discharges with ICD codes for complication in any secondary diagnosis field for the “surgical admission” and any diagnosis field for any subsequent related re- admission within 30 days, divided by the total number of discharges for patients aged 15 and older. Contrary to the data presented in Health at a Glance 2013, the indicator rates have not been adjusted by the average number of secondary diagnoses, given a strong posi- tive correlation between the number of secondary diagnoses and indicator rates reported by countries was not evident in the most recent data."]
[179,"e1",null,10,"c","Laparoscopic cholecystectomy   in ordinary admission: complications within 30 days",null,"Italy - PNE (2014)","E",null,"National  Agency  for Regional Health Services-AGENAS. (2014). National Outcome Evaluation Program - PNE.   Retrieved from http://95.110.213.190/PNEed14_EN/index.php#",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"mortality-procedures"]
[179,"e1",53,10,"c","Patient-reported Complications after Uterine Prolapse Surgery",null,"Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,"Percentage of patients who reported that they had no complications or adverse events after uterine prolapsed surgery"]
[179,"e1",54,10,"c","Patient-reported Bulging Sensation after Uterine Prolapse Surgery",null,"Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[179,"e1","5.1.",10,"c","Deaths from venous thromboembolism (VTE) related events within 90 days post discharge from hospital",null,"UK - NHS (2016)","E",null,"NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,"The indicator is a national mortality rate from a VTE related cause that occurred within 90 days of a patient’s last discharge from hospital where they were treated for any cause, per 100,000 adult hospital admissions."]
[180,"i","3.6.",10,"c","MRSA infections",null,"EHCI 2015","D",null,"Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Susceptibility results for S. aureus isolates, %",null,null,null,"http://ecdc.europa.eu/en/healthtopics/antimicrobial_resistance/database/Pages/table_reports.aspx; (data 2013)"]
[180,"i","LT-6",10,"c","Prevalence of MRSA carriage in residential facility (% of residents)",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
[180,"i",12,10,"c","Incidence of MRSA Hospital Acquired Infection/1000 admissions",null,"Malta - Grech et al. (2015)","E",null,"Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,"An infection is considered an HAI if all elements of a CDC/NHSN (Centers for Disease Control and Prevention/National Healthcare Safety Networks) site-specific infection criterion were first present together on or after the 3rd hospital day (day of hospital admission is day 1). For an HAI, an element of the infection criterion may be present during the first 2 hospital days as long as it is also present on or after day 3. All elements used to meet the infection criterion must occur within a timeframe that does not exceed a gap of 1 calendar day between elements’"]
[180,"i","5.2.ii.",10,"c","Incidence of healthcare associated infection (HSAI) – C. difficile",null,"UK - NHS (2016)","E",null,"NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,"The number of Clostridium difficile infections reported to Public Health England (PHE), in patients aged two years or older."]
[181,"e2",null,10,"c","MRSA mortality","Age-standardised mortality rates for deaths with MRSA (methicillin-resistant staphylococcus aureusis) mentioned on the death certificate (per 1 million population)","UK - Bevan et al. (2014)","E",null,"Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,"Age-standardised mortality rates for deaths with MRSA (methicillin-resistant\nstaphylococcus aureusis) mentioned on the death certificate (per 1 million population)"]
[182,"e0","QS-5",10,"c","Prevalence of hospital-acquired cat II-IV pressure ulcers (% of patients hospitalised)",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
[182,"e0","5.3.",10,"c","Proportion of patients with category 2, 3 and 4 pressure ulcers",null,"UK - NHS (2016)","E",null,"NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,"nA"]
[184,"e0",null,10,"c","Patient given incorrect results for a diagnostic or lab test in past 2 years (base: had a lab test ordered)",null,"CWF Int. Comparison (2014)","D",null,"K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Safe Care","percent"]
[184,"e0","QA-6",10,"c","Medical radiation exposure due to inappropriate medical imaging (mSv/capita/year)",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Appropriateness - Illustrative indications of inefficiency: Over-use of investigations/equipment"]
[185,"e2",null,10,"c","Sent for duplicate tests in past 2 years",null,"CWF Int. Comparison (2014)","D",null,"K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Efficiency"]
[185,"e2","nA",10,"c","Evidence-based care: Unnecessary care composite","Unnecessary care targets the overuse of certain ser- vices or care resources, driven in part by fee-for-service models of care that emphasize volume of services and reflected, for example, in the Choosing Wisely services unsupported by evidence.","IOM 2015","D",null,"IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Unnecessary care targets the overuse of certain ser- vices or care resources, driven in part by fee-for-service models of care that emphasize volume of services and reflected, for example, in the Choosing Wisely services unsupported by evidence."]
[186,"e0",null,10,"c","Potentially Inappropriate Medication Prescribed to Seniors",null,"CIHI In Depth (2014)","D",null,"CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Percentage Rate of Beers Drug Use Among Seniors on Public Drug Programs","This indicator examines the rate of seniors using public drug programs who have a claim for a drug from the Beers list. It is calculated by dividing the total number of seniors with at least 1 claim for a drug from the Beers list that was accepted by a public drug program by the total number of seniors with at least 1 claim for any drug accepted by a public drug program.","This indicator looks at the rate of seniors who take a medication identified as potentially inappropriate to prescribe to seniors because it poses an elevated risk of adverse effects, it lacks efficacy in seniors or safer alternatives are available.\nA lower rate on this indicator means that fewer seniors took a medication from the Beers list (a list of drugs that are potentially inappropriate for seniors). It should be noted that there may be cases where it is appropriate for seniors to take drugs on the Beers list.",null,"·      Canadian Institute for Health Information",null,null,"http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=1114209"]
[186,"e0",12,10,"c","Drug-drug Interactions among the Elderly","Percent of Medicare beneficiaries with dementia, hip/pelvic fracture, or chronic renal failure received prescription in an ambulatory care setting that is contraindicated for that condition","Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[null,null,14,10,"e/ms","Percent of Medicare beneficiaries with dementia, hip/pelvic fracture, or chronic renal failure received prescription in an ambulatory care setting that is contraindicated for that condition","Percent of Medicare beneficiaries with dementia, hip/pelvic fracture, or chronic renal failure received prescription in an ambulatory care setting that is contraindicated for that condition","CWF State Scorecard","D",null,"D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Percent of Medicare beneficiaries with dementia, hip/pelvic fracture, or chronic renal failure received prescription in an ambulatory care setting that is contraindicated for that condition",null,null,null,"Y. Zhang and S.H. Baik, University of Pittsburgh, analysis of 2011 and 2012 5% sample of Medicare beneficiaries enrolled in stand-alone Medicare Part D plans."]
[null,null,"3.7.",10,"e/ms","Quality and safety markers","nA","MoH New Zealand 2016","D",null,"Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"nA",null,"‘Person centred care’"]
[190,"e1",17,11,"c","Percent of hospitalized patients who were given information about what to do during their recovery at home",null,"CWF State Scorecard","D",null,"D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"nA",null,null,null,"Hospital Consumer Assessment of Healthcare Providers and Systems Survey data (HCAHPS n.d.) retrieved April 2015 from CMS Hospital Compare (DHHS n.d.)"]
[190,"e1",null,11,"c","Pain always controlled during hospitalization (% of patients)",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
[191,"e0",null,11,"s","Patient experience with ambulatory care: Doctor always listens, explains, shows respect, and spends enough time","Patient experience with a regular doctor rather than any doctor.\nRates are age-sex standardised to the 2010 OECD population, to remove the effect of different population structures across countries.\nCWF definition: Percent of Medicare fee-for-service patients who had a doctor’s office or clinic visit in the last 12 months whose health providers always listened carefully, explained things clearly, respected what they had to say, and spent enough time with them.","Consolidated","B, D, E",{"$f":"COUNTIF(L1436:BB1436,\">0\")","v":7},"Consolidated",{"$f":"COUNTIF(L1437:L1443,1)","v":0},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,{"$f":"COUNTIF(AK1437:AK1443,1)+AK1424","v":1},{"$f":"COUNTIF(AL1437:AL1443,1)+AL1425","v":1},{"$f":"COUNTIF(AM1437:AM1443,1)","v":1},{"$f":"COUNTIF(AN1437:AN1443,1)","v":0},{"$f":"COUNTIF(AO1437:AO1443,1)","v":0},{"$f":"COUNTIF(AP1437:AP1443,1)","v":0},{"$f":"COUNTIF(AQ1437:AQ1443,1)","v":0},{"$f":"COUNTIF(AR1437:AR1443,1)+AR1426","v":3},{"$f":"COUNTIF(AS1437:AS1443,1)","v":0},2,0,0,0,0,0,0,0,0]
[191,"e0",null,11,"c","Patient experience with ambulatory care: Doctor spending enough time with patient in consultation","patient experience with a regular doctor rather than any doctor.\nRates are age-sex standardised to the 2010 OECD population, to remove the effect of different population structures across countries.","Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"patient experience with a regular doctor rather than any doctor.\nRates are age-sex standardised to the 2010 OECD pop- ulation, to remove the effect of different population structures across countries."]
[191,"e0",72,11,"c","Degree to which health care users report having sufficient consultation time with health care providers",null,"Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,"Getting better: Non-acute curative health care - Quality: client-centredness"]
[192,"e0",null,11,"c","Doctor or health care professional gives clear instructions about symptoms, when to seek further care (base: has chronic condition)",null,"CWF Int. Comparison (2014)","D",null,"K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Patient-centered Care: Engagement and Patient Preferences","percent"]
[192,"e0",23,11,"c","Information at Primary Care Appointments",null,"Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,"\"Did you receive enough information about your condition?\" Patient-perceived quality of primary care",null,null,null,"National Patient Survey: "]
[194,"e0",null,11,"s","Patient experience with ambulatory care: Doctor giving opportunity to ask questions or raise concerns, ","nA","Consolidated","B, D, E",{"$f":"COUNTIF(L1454:BB1454,\">0\")","v":4},"Consolidated",{"$f":"COUNTIF(L1455:L1458,1)","v":0},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,{"$f":"COUNTIF(AR1455:AR1458,1)+AR1426","v":2},{"$f":"COUNTIF(AS1455:AS1458,1)","v":0},0,0,0,0,0,0,0,0,0]
[194,"e0",null,11,"c","Regular doctor always or often encouraged you to ask questions",null,"CWF Int. Comparison (2014)","D",null,"K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Patient-centered Care: Engagement and Patient Preferences","percent"]
[195,"e0",null,11,"c","Specialist always or often involves patient as much as they want in decisions about care and treatment (base: saw or needed to see specialist in past 2 years)",null,"CWF Int. Comparison (2014)","D",null,"K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Patient-centered Care: Engagement and Patient Preferences","percent"]
[195,"e0",71,11,"c","Degree to which health care users report being engaged in decisions about treatment",null,"Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,"Getting better: Non-acute curative health care - Quality: client-centredness"]
[195,"e0",24,11,"c","Participation at Primary Care Appointments",null,"Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,"\"Did you feel as though you participated in decisions about your care and treatment as much as you wanted?\" Patient-perceived quality of primary care",null,null,null,"National Patient Survey: "]
[197,"i","nA",11,"c","Responsiveness: Self perceived acceptability of health system","% of people who assess the performance of the health system to be good or very good","ESIF for Health 2015","A",null,"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"% of people who assess the performance of the health system to be good or very good",null,"Health system"]
[197,"i","nA",11,"c","Care match with patient goals: Patient-clinician communication satisfaction",null,"IOM 2015","D",null,"IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[197,"i",null,11,"c","Satisfaction with the health care",null,"Estonia HSPA (2010)","E",null,"WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Responsiveness of the health system"]
[197,"i",null,11,"c","Satisfaction with the quality of health care services",null,"Estonia HSPA (2010)","E",null,"WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Responsiveness of the health system"]
[197,"i",42,11,"c","Percentages of people reporting good experiences with ambulance services and with emergency departments in terms of communication and information provision",null,"Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,"Acute care - Quality"]
[197,"i",null,11,"c","Satisfaction with availability of quality health care",null,"Portugal HSPA (2010)","E",null,"World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,"Health system responsiveness"]
[197,"i",null,11,"c","Satisfaction of long-term care and primary health care users",null,"Portugal HSPA (2010)","E",null,"World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,"Health system responsiveness"]
[197,"i",null,11,"c","Patient satisfaction",null,"UK - Bevan et al. (2014)","E",null,"Bevan, G., Karanikolos, M., Exley, J., Nolte, E., Connolly, S., & Mays, N. (2014). The four health systems of the UK: How do they compare?  Retrieved from http://www.nuffieldtrust.org.uk/sites/files/nuffield/revised_4_countries_report.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,"Satisfaction with various aspects of the NHS – percentage reporting ‘very satisfied’ or ‘quite satisfied’, 2011"]
[197,"i","4c",11,"c","Friends and family test",null,"UK - NHS (2016)","E",null,"NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,"nA"]
[197,"i","4.3.",11,"c","Patient experience of A&E services",null,"UK - NHS (2016)","E",null,"NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,"Patient experience of accident and emergency, measured by scoring the results of a selection of questions from the A&E Department Survey."]
[197,"i","4.8.",11,"c","Children and young people’s experience of inpatient services",null,"UK - NHS (2016)","E",null,"NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,"nA"]
[197,"i","4.9.",11,"c","People’s experience of integrated care",null,"UK - NHS (2016)","E",null,"NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,"nA, check ASCOF 3E**"]
[null,"e0",null,11,"c","Physicians reporting it is easy to print out a list of patients who are due or overdue for tests or preventive care","Survey question. ","CWF Int. Comparison (2014)","D",null,"K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Effective Care: Prevention","percent"]
[203,"e1",111,11,"s","Meeting Rehabilitation Needs after Stroke","Percentage of stroke patients 12 months after the acute phase who reported that their rehabilitation needs had been met","Sweden - Socialstyrelsen. (2013)","E",1,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,"Percentage of stroke patients 12 months after the acute phase who reported that their rehabilitation needs had been met"]
[205,"e0",null,11,"s","Doctor routinely receives and reviews data on patient satisfaction and experiences with care","Survey question. ","CWF Int. Comparison (2014)","D",1,"K. Davis, K. Stremikis, C. Schoen, and D. Squires (2014) Mirror, Mirror on the Wall, 2014 Update: How the U.S. Health Care System Compares Internationally, The Commonwealth Fund, June 2014, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2014/jun/1755_davis_mirror_mirror_2014.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,null,"Patient-centered Care: Continuity and Feedback","percent"]
[208,"e0","1.2.",11,"s","Patient organisation involvement","nA","EHCI 2015","D",1,"Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"nA",null,null,null,"Patients' Perspectives of Healthcare Systems in Europe; survey commissioned by HCP 2015. Personal interviews."]
[213,"e0","1.10.",11,"s","On-line booking of appointments?","Can patients book doctor appointments on-line?","EHCI 2015","D",1,"Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Can patients book doctor appointments on-line?",null,null,null,"Survey commissioned by HCP from Patient View 2015. Interviews with healthcare officials."]
[214,"e0",61,11,"c","Proportion of population that accesses own health data on-line",null,"Malta - Grech et al. (2015)","E",null,"Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,"Proportion of the population aged 14 and over that has successfully logged into online services that provide access to the person’s own health data","Number of persons successfully logging into the Government’s patient access portal (currently myHealth – www.mygov.mt) at least once during a calendar year, divided by the number of Maltese residents aged 14 and over"]
[218,"e0",83,12,"s","Percentages of professional care providers reporting that sufficient staff and qualified staff is available to ensure good-quality care","Survey question. ","Netherlands - van den Berg et al. (2015)","E",{"$f":"COUNTIF(L1540:BB1540,\">0\")","v":1},"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,null,null,"Living with long-term illness or functional limitations - Quality"]
[null,null,null,13,999,"PHARMACEUTICAL SECTOR",null,"Consolidated",999]
[220,"e2",null,13,"c","Generic prescribing ",null,"Smith et al. (2016)","A",null,"Smith PC, Cylus J & Papanicolas I (2016) Efficiency book, European Observatory …",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Generic prescribing gives information on whether providers and pharmacists are prescribing and dispensing generic medicines more often than brand name medicines. Since generic medicines are typically less expensive than brand name drugs, if generic medicines comprise a large share of total medicines, it is indicative of greater efficiency.",null,"What does it tell you, and what does it not tell you?\n\nThe share of generic prescribing gives an indication of whether a system is obtaining medicines at low cost. However, although it is not really a problem in European countries, it is important to be sure that generic medicines are biologically equivalent to brand name drugs; otherwise, there may be differences in the quality of drugs. Also, patients may have health needs for which the most effective medicines are not yet available in generic. \n\nWhat should you do next if you find variation?\n\nGeneric prescribing is almost without fail a useful metric. However if generic prescribing is low, there are various questions that must be asked to identify the causes. First, are providers rewarded for prescribing brand name drugs? If pharmacists receive higher margins for dispensing brand name drugs, or if pharmaceutical companies compensate providers for prescribing brand name drugs, they may be incentivized to offer them. Second, do patients believe that generic drugs are of lower quality? If patients have expectations that generics are not equivalent to brand name drugs, it will be important to either improve patient information, or to reduce (or eliminate) co-payments for generic drugs while raising (or instituting) co-payments for brand name drugs.\n"]
[220,"e2",45,13,"c","Generic share of pharmaceuticals in value/volume (public)",null,"Malta - Grech et al. (2015)","E",null,"Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,"‘A generic is defined as a pharmaceutical product which has the same qualitative and quantitative composition in active substances and the same pharmaceutical form as the reference product, and whose bioequivalence with the reference product has been demonstrated. Generics can be classified in branded generics (generics with a specific trade name) and unbranded generics (which use the international non-proprietary name and the name of the company)’.","Value: ‘Data are collected as a share expressed in value. Values can for instance be the turnover of pharmaceutical companies, the amount paid for pharmaceuticals by third-party payers, or the amount paid by all payers (third-party and consumers). Market value are most often at ex-factory prices, while amounts paid by third-party payers (and consumers) are in general at retails prices’.\nVolume: ‘Data are collected as a share expressed in volume. Volumes can be expressed in DDDs or as a number of packages/boxes or standard units’"]
[222,"e0","S-12",13,"c","W.A.I.T indicator for innovative medicinesa (in days)","W.A.I.T indicator defined as average number of days between marketing authorisation and patient access","Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"W.A.I.T indicator defined as average number of days between marketing authorisation and patient access","The rate of availability, measured by the number of medicines available to patients in European countries, compared to the number of medicines with EU MA granted in the reference period;\nThe average time between marketing authorisation and patient access, measured by the number of days elapsing from the date of EU marketing authorisation (MA) to the day of completion of post-marketing authorisation administrative processes.","In 2012 the European Commission enacted the EC Transparency Directive 89/105/EEC mandating no more than 120 days of delay for national pricing and reimbursement decision. Monitoring this delay ensures that Belgium fulfils this criteria, and that patients get timely access to innovative medicines.\nHowever, this period should not necessarily be interpreted as an undue delay: the time between the MA and patient access reflects the pricing and reimbursement procedure necessary to evaluate e.g. the therapeutic value, therapeutic and societal needs, the budgetary impact for the health insurance and the cost-effectiveness of the new medicine.",null,"European Federation of Pharmaceutical Industries and Associations (EFPIA) reports\nSimilar reports have been prepared for cancer drugs, innovative treatments in rheumatoid arthritis, and multiple sclerosis.\nEFPIA reports have also recently been updated by IMS3 and show similar conclusions."]
[223,"e0","6.2.",13,"s","Availabiliity of layman-adapted pharmacopoeia","Survey question: Is there a layman-adapted pharmacopeia readily accessible by the public (www or widely avaliable)? A pharmacopei is a book containing directions for the identification of compound medicines, and published by the authority of a government or a medical or pharmaceutical society.","EHCI 2015","D",{"$f":"COUNTIF(L1556:BB1556,\">0\")","v":1},"Health Consumer Powerhouse. (2016). Euro Health Consumer Index 2015 Report. Retrieved from http://www.healthpowerhouse.com/files/EHCI_2015/EHCI_2015_report.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Indicator name: Layman-adapted pharmacopoeia? \nIs there a layman-adapted pharmacopeia readily accessible by the public (www or widely avaliable)?",null,null,null,"Survey commissioned from Patient View by HCP 2013. HCP research 2010-2013. National Medical Products Agencies."]
[226,"e2",7,14,"c","Age structure, EU28",null,"European Pillar of Social Rights","A",null,"European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Eurostat, Europop 2013"]
[226,"e2",null,14,"c","Seniors (65 and Older)",null,"CIHI In Depth (2014)","D",null,"CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Regional Characteristics and Inputs",null,"·      Statistics Canada"]
[227,"i","S-3",14,"c","Share of population 65+",null,"JAF Health (DG EMPL)","A",null,"EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Population aged 65 and above as a percentage of the total population.",null,null,null,"Eurostat (Demographic data)"]
[227,"i","S-4",14,"c","Share of population 80+",null,"JAF Health (DG EMPL)","A",null,"EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Population aged 80 and above as a percentage of the total population.",null,null,null,"Eurostat (Demographic data)"]
[229,"i",null,14,"s","Proportion of population receiving long-term care","Percentage of total population; by sex, by disease group (dementia, congestive heart failure), by age (younger than 65 years, oder than 85 years), by different types of LTC","Consolidated","A, B, D, E",{"$f":"COUNTIF(L1575:BB1575,\">0\")","v":5},"Consolidated",{"$f":"COUNTIF(L1576:L1585,1)","v":0},0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,5,0,0,0,0,2,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0]
[229,"i",null,14,"c","Long-Term Care Residents With Congestive Heart Failure",null,"CIHI In Depth (2014)","D",null,"CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Facility Characteristics",null,"·      Canadian Institute for Health Information"]
[229,"i",21,14,"c","Long-term assistance",null,"Sweden - Socialstyrelsen. (2015)","E",null,"Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,"Individuals aged 18 and older who has received long-time assistance (10–12 months of the year).",null,"Education, work and self-sufficiency"]
[230,"i",null,14,"s","Share of long-term care recipients aged 65 years and over receiving care at home","Percentage of total LTC recipients aged 65 years and over by clinical and functional condition","Health at a Glance 2015","B",{"$f":"COUNTIF(L1586:BB1586,\">0\")","v":1},"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[233,"e0",null,14,"s","Experiencing Pain in Long-Term Care","This indicator looks at how many long-term care residents had pain. The consequences of pain include increased difficulty with activities of daily living (ADLs), depression and lower quality of life. The prevalence of persistent pain increases with age, and proper treatment of pain is necessary to improve the health status of residents.","CIHI In Depth (2014)","D",{"$f":"COUNTIF(L1591:BB1591,\">0\")","v":1},"CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"This indicator looks at how many long-term care residents had pain. The consequences of pain include increased difficulty with activities of daily living (ADLs), depression and lower quality of life. The prevalence of persistent pain increases with age, and proper treatment of pain is necessary to improve the health status of residents.","This indicator examines the percentage of residents who had pain. It is calculated by dividing the number of residents who had moderate daily pain or horrible/excruciating pain at any frequency by the number of all residents with valid assessments within the applicable time period.","This indicator looks at how many long-term care residents had pain. The consequences of pain include increased difficulty with activities of daily living (ADLs), depression and lower quality of life. The prevalence of persistent pain increases with age, and proper treatment of pain is necessary to improve the health status of residents.\nLower is better. It means that a lower percentage of residents had moderate daily pain or horrible/excruciating pain at any frequency.",null,"·      Canadian Institute for Health Information",null,null,"http://indicatorlibrary.cihi.ca/display/HSPIL/Experiencing+Pain+in+Long-Term+Care"]
[236,"e0",null,14,"c","Falls resulting in patient harm in care setting",null,"AIHW. (2014)","D",null,"AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The number of hospitalisations in which a patient was treated for a fall that occurred in a hospital. This is presented as a number, and a number per 1,000 hospitalisations."]
[236,"e0","LT-5",14,"c","Prevalence of pressure ulcers (grade II-IV) in home for the elderly (% of residents)",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
[236,"e0","LT-4",14,"c","Fall incident during the last 12 months (% pop aged 65+)",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
[236,"e0",13,14,"c","Inpatient cases caused by fall injuries, individuals aged 65 and older, per 100 000 inhabitants",null,"Sweden - Socialstyrelsen. (2015)","E",null,"Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,"Injuries"]
[237,"e1",null,14,"c","Potentially Inappropriate Use of Antipsychotics in Long-Term Care",null,"CIHI In Depth (2014)","D",null,"CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"This indicator examines the percentage of residents on antipsychotics without a diagnosis of psychosis. It is calculated by dividing the number of residents who received antipsychotic medication by the number of all residents with valid assessments within the applicable time period.","This indicator examines the percentage of residents on antipsychotics without a diagnosis of psychosis. It is calculated by dividing the number of residents who received antipsychotic medication by the number of all residents with valid assessments within the applicable time period.","This indicator looks at how many long-term care residents are taking antipsychotic drugs without a diagnosis of psychosis. These drugs are sometimes used to manage behaviours in residents who have dementia. Careful monitoring is required, as such use raises concerns about safety and quality of care.\nLower is better. It means that a lower percentage of long-term care residents received antipsychotic medication.",null,"·      Canadian Institute for Health Information",null,null,"http://indicatorlibrary.cihi.ca/display/HSPIL/Potentially+Inappropriate+Use+of+Antipsychotics+in+Long-Term+Care"]
[237,"e1","MH-9",14,"c","Patients (65+ years old) prescribed antidepressants with anticholinergic effect (%)",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
[237,"e1",11,14,"c","Polypharmacy – Elderly Who Consume Ten or More Drugs",null,"Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[238,"e2","LT-3",14,"c","Informal carers (% of pop aged 15+)",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
[241,"e2",null,14,"s","Percentage of people aged 65 years and over living alone","This indicator measures the potential support needed for older – and in general more vulnerable – people in a community by measuring the percentage of people aged 65 and over living alone.","Consolidated","C, E",{"$f":"COUNTIF(L1625:BB1625,\">0\")","v":2},"Consolidated",{"$f":"COUNTIF(L1626:L1627,1)","v":0},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0]
[null,null,null,15,999,"HEALTH STATUS: Mortality",null,"Consolidated",999,null,null,0]
[244,"i","10(A)",15,"c","Life expectancy at birth","total population, by sex","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Life expectancy at a given age represents the average number of years of life remaining if a group of persons at that age were to experience the mortality rates for a particular year over the course of their remaining life.\nLife expectancy at birth is a summary measure of the age-specific all cause mortality rates in an area in a given period.","Life expectancies are calculated using (abridged) life tables presenting age specific mortality rates. Life\nexpectancy tables are calculated based on death probabilities according to Farr’s death rate method: qx = Mx\n/ (Bx + (Mx/2)) where Mx = the number of deaths at the age of x to under x+1 years in the reported period;\nBx = average population aged x to under x+1 in the base period; qx = death probability from age x to x+1.\nFarr’s method of calculation of abridged life-tables assumes that there is a constant mortality within the age\nintervals and thus the years of life lived by a person dying in the interval is (on average) half of the length of\nthe interval.","Basic indicator for population health. It reflects the cumulative effect of the impact of risk factors, occurrence and severity of disease, and the effectiveness of interventions and treatment.","Number of years","Eurostat","age group (including at birth and at age 65), sex, socio-economic status","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=demo_mlexpec&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/demo_mor_esms.htm","http://ec.europa.eu/health/indicators/docs/echi_10_ds_en.pdf"]
[244,"i",6,15,"c","Life expectancy at birth for females",null,"Eckfeldt et al. 2014 (DG-ECFIN)","A",null,"Eckefeldt P, Schwierz C, Giamboni L, Aarnout M & Carone G (2014) Identifying fiscal sustainability challenges in the areas of pension, health care and long-term care policies - European Commission Occacional Papers (Vol. 201). Brussels: European Economy. ",0,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Life expectancy at birth for females."]
[244,"i",null,15,"c","Life expectancy at birth",null,"Eurostat - Quality of Life","A",null,"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Health - Outcomes: Life expectancy",null,"http://ec.europa.eu/eurostat/product?mode=view&code=demo_mlexpec"]
[244,"i",null,15,"c","life expectancy at birth (LE)",null,"EC-MACELI 2014","A",null,"European Commission (2014). Comparative efficiency of health systems, corrected for selected lifestyle factors. Retrieved from http://ec.europa.eu/health/systems_performance_assessment/docs/2015_maceli_report_en.pdf",0,0,0,0,0,0,0,0,0,0,0,0,1]
[244,"i","nA",15,"c","Life expectancy at age 65",null,"Medeiros & Schwierz 2015 (DG-ECFIN)","A",null,"Medeiros J & Schwierz C (2015) Efficiency estimates of health care systems - European Commission Economic Papers (Vol. 549). Brussels: European Economy.",0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Life expectancy at age 65, 2012 or latest"]
[244,"i","nA",15,"c","Life expectancy at birth",null,"Joumard et al. 2010","B",null,"Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"gender"]
[244,"i",null,15,"c","Life expectancy by gender",null,"AIHW. (2014)","D",null,"AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The number of years that a baby born in a given year can expect to live, if age-specific death rates do not change."]
[244,"i","nA",15,"c","Life Expectancy at 25 in men (by education level)",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
[244,"i",null,15,"c","Changes in life expectancy 2000 versus 2008 attributable to different disease groups",null,"Estonia HSPA (2010)","E",null,"WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"check definition",null,"Health status (level and distribution): life expectancy"]
[244,"i",37,15,"c","Life expectancy and healthy life expectancy at birth and over 65",null,"Malta - Grech et al. (2015)","E",null,"Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,"‘Life expectancy at a given age represents the average number of years of life remaining if a group of persons at that age were to experience the mortality rates for a particular year over the course of their remaining life. Life expectancy at birth is a summary measure of the age-specific all cause mortality rates in an area in a given period’. \nThe Healthy Life Years (HLY) indicator (also called disability-free life expectancy) measures the number of remaining years that a person of a certain age is still supposed to live without disability’.","Life expectancies are calculated using (abridged) life tables presenting age specific mortality rates. Life expectancy tables are calculated based on death probabilities according to Farr's death rate method:\nqx = Mx / (Bx + (Mx/2))\nwhere\n Mx = the number of deaths at the age of x to under x+1 years in the reported period\n Bx = average population aged x to under x+1 in the base period\n qx = death probability from age x to x+1\nFarr's method of calculation of abridged life-tables assumes that there is a constant mortality within the age intervals and thus the years of life lived by a person dying in the interval is (on average) half of the length of the interval’.\n‘The indicator is calculated following the Sullivan method’ Further information can be found at http://www.ehemu.eu/pdf/Sullivan_guide_final_jun2007.pdf’"]
[244,"i","1b",15,"c","Life expectancy at 75: i. males and ii. females",null,"UK - NHS (2016)","E",null,"NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,"The average number of additional years a man or woman aged 75 can be expected to live if they continue to live in the same place and the death rates in their area remain the same for the rest of their life.",null,null,null,null,"by gender"]
[245,"i",1,15,"s","Gap in life expectancy at age 30 by sex and educational level","The gap in the expected years of life remaining at age 30 between adults with the highest level (“tertiary education”) and the lowest level (“below upper secondary education”) of education.","Health at a Glance 2015","B",{"$f":"COUNTIF(L1672:BB1672,\">0\")","v":1},"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,"To calculate life expectancies by education level,\ndetailed data on deaths by sex, age and education\nlevel are needed. However, not all countries have\ninformation on education as part of their deaths data.\nData linkage to another source (e.g. a census) which\ndoes have information on education may be required",null,null,"Eurostat"]
[246,"i",41,15,"c","Health expectancy: Healthy Life Years (HLY) at 65","Expected remaining years lived at age 65 a) in good perceived health and b) without self-reported chronic morbidity, population by sex.","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Expected remaining years lived at a particular age a) in good perceived health and b) without self-reported chronic morbidity.","Health Expectancy is computed as the life expectancy from which the expected number of years lived in\na) less than good perceived health or b) with self-reported chronic morbidity is subtracted. It is calculated by the Sullivan method based on life table data and age-specific period prevalence data of the health state in question. For more information on the details of the computation method, see references. For more information on self-perceived health and self-reported chronic morbidity see the documentation sheets for indicators 33. Self-perceived health and 34. Self-reported chronic morbidity.","Health expectancies extend the concept of life expectancy to self perceived health, morbidity and disability\nin order to assess the quality of years lived. It is a composite indicator of health that takes into account both\nmortality data and data referring to health status, such as poor self-perceived health and chronic morbidity,\nproviding more information on burden of diseases in the population than life expectancy alone. Monitoring time trend of life expectancy and healthy life years together allows assessing whether years of life gained are healthy years or not.",null,"EHEMU/EHLEIS project","• Calendar year\n• Country\n• Region (according to ISARE recommendations; see data availability)\n• Sex\n• Age group (at birth and at age 65)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_silc_17&lang=en","http://epp.eurostat.ec.europa.eu/cache/ITY_SDDS/EN/hlth_silc_17_esms.htm","http://ec.europa.eu/health/indicators/docs/echi_41.pdf"]
[246,"i","nA",15,"c","Healthy life years by sex",null,"Eurostat - SDI","A",null,"Eurostat (2015) Sustainable development indicators, from http://ec.europa.eu/eurostat/web/sdi/indicators ",0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"http://ec.europa.eu/eurostat/cache/metadata/DE/tsdph100_esmsip.htm"]
[246,"i","nA",15,"c","Healthy life expectancy at birth",null,"Medeiros & Schwierz 2015 (DG-ECFIN)","A",null,"Medeiros J & Schwierz C (2015) Efficiency estimates of health care systems - European Commission Economic Papers (Vol. 549). Brussels: European Economy.",0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The indicator of healthy life years (HLY) measures the number of remaining years that a person of specific age is expected to live without any severe or moderate health problems. The notion of health problem for Eurostat's HLY is reflecting a disability dimension and is based on a self- perceived question which aims to measure the extent of any limitations, for at least six months, because of a health problem that may have affected respondents as regards activities they usually do. The indicator is therefore also called disability-free life expectancy (DFLE); 2012, or latest."]
[246,"i",null,15,"c","Healthy life years at age 65",null,"Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[246,"i","nA",15,"c","Health-adjusted life expectancy (HALE)","The HALE is the number of expected years of life equivalent to years lived in full health by age-group (at birth, at 60)","Joumard et al. 2010","B",null,"Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"number of expected years of life equivalent to years lived in full health",null,null,null,null,"gender"]
[246,"i","nA",15,"c","Healthy Life Years at 25 in women (by education level)",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
[246,"i",null,15,"c999","Health expectancy: Healthy Life Years (HLY) at 65","Expected remaining years lived at age 65 a) in good perceived health and b) without self-reported chronic morbidity, population by sex.","Consolidated","A, B, C, D",null,null,0]
[247,"i","H-7",15,"c","Potential years of life lost (PYLL)  (total, by SES)","Current OECD definition: Potential Years of Life Lost (PYLL) is a summary measure of premature mortality which provides an explicit way of weighting deaths occurring at younger ages, which are, a priori, preventable. The calculation of PYLL involves summing up deaths occurring at each age multiplying this with the number of remaining years to live up to a selected age limit (70 years for OECD Health data calculation).","JAF Health (DG EMPL)","A",null,"EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Current OECD definition: Potential Years of Life Lost (PYLL) is a summary measure of premature mortality which provides an explicit way of weighting deaths occurring at younger ages, which are, a priori, preventable. The calculation of PYLL involves summing up deaths occurring at each age multiplying this with the number of remaining years to live up to a selected age limit (70 years for OECD Health data calculation).","http://www.oecd.org/eco/growth/2732311.pdf",null,null,"Eurostat (possible sources: COD and Demographic data)"]
[247,"i",33,15,"c","Years of potential life lost before age 75",null,"CWF State Scorecard","D",null,"D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"nA",null,null,null,"Robert Wood Johnson Foundation analysis of National Vital Statistics System Mortality Data, 2012 and 2013, using the Centers for Disease Control and Prevention (CDC) National Center for Injury Prevention and Control Web-based Injury Statistics Query and Reporting System (WISQARS). Retrieved September 2015 from Robert Wood Johnson Foundation National DataHub. (NVSS 2012 and 2013)."]
[247,"i",null,15,"c","Potential years of life lost by sex, regions",null,"Portugal HSPA (2010)","E",null,"World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,"Improving the health status of the Portuguese, \nImproving equity in health"]
[249,"e0",null,15,"s","Percentage of live births with Apgar Score below 7","Disaggregated by place of birth (home, hospital, ...). \nPercentage of newborns with Apgar score under 7 at five minutes. Age-standardised. The Apgar score is a system for standardised assessment of the vitality of neonates. The baby’s heart rate, breathing, skin colouration, activity and muscle tone, and reflex irritability are rated on a scale of 0–10 at one minute, five minutes and ten minutes after birth. ","Consolidated","A, E",{"$f":"COUNTIF(L1715:BB1715,\">0\")","v":3},"Consolidated",{"$f":"COUNTIF(L1717:L1718,1)","v":0},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,{"$f":"COUNTIF(AZ1716:AZ1718,1)","v":1},{"$f":"COUNTIF(BA1717:BA1718,1)","v":0},{"$f":"COUNTIF(BB1717:BB1718,1)","v":0}]
[250,"i",null,15,"s","Infant mortality rate","The ratio of number of deaths of children under one year of age to the number of live births. The value is expressed per 1000 live births.","Consolidated","A, B, C, D, E",{"$f":"COUNTIF(L1719:BB1719,\">0\")","v":17},"Consolidated",{"$f":"COUNTIF(L1720:L1737,1)","v":1},0,1,1,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,1,0,0,0,2,1,1,0,1,1,1,0,1,0,1,0,0,0,1,0,0,1,0,0]
[250,"i",11,15,"c","Infant mortality","The number of deaths of infants (younger than one year of age at death) per 1000 live births (based on one\nyear data).","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The number of deaths of infants (younger than one year of age at death) per 1000 live births (based on one year data).","Number of deaths under one year of age (aged 0-364 days) in a given year, per 1000 live births in that year.","“Basic indicator for population health and quality of health care services, infant mortality is highly correlated\nto countries’ level of development. An important part of the infant mortality rate measures the consequences of perinatal events (low birth weight, prematurity) or birth defects. Moreover, infant mortality comprises the deaths in the post-neonatal period; those include accidents and infections, Sudden Infant Death Syndrome (SIDS) and lack of the essentials of life (adequate food, water, maternal care). Those post-neonatal deaths are often preventable and are highly influenced by social factors. This indicator can thus serve as a measure of the quality of medical care, preventive services and health promotion interventions” (PERISTAT project).","Rate","Eurostat","region","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=demo_minfind&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/demo_mor_esms.htm","http://ec.europa.eu/health/indicators/docs/echi_11.pdf"]
[250,"i","H-5",15,"c","Infant mortality rate (total)",null,"JAF Health (DG EMPL)","A",null,"EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Ratio of the number of deaths of children under one year of age during the year to the number of live births in that year. The value is expressed per 1 000 live births.",null,null,null,"Eurostat (Demographic data)"]
[250,"i",37,15,"c","Infant mortality, deaths per 1,000 live births",null,"CWF State Scorecard","D",null,"D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"nA"]
[250,"i",null,15,"c","Infant deaths per 1,000 live births",null,"Hungary HSPA (2014)","E",null,"Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"WHO"]
[250,"i",7,15,"c","Infant mortality rates by gestational age, birth weight, and plurality",null,"Malta - Grech et al. (2015)","E",null,"Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,"The number of early neonatal deaths after live birth plus fetal deaths in a given year per 1000 live and stillbirths","The number of fetal deaths and deaths in the early neonatal period (up to 6 completed days after birth) after live birth, expressed per 1000 live and stillbirths in the same year. For international comparisons, it is recommended by the WHO that elements in both the nominator (fetal deaths and early neonatal deaths) and denominator (fetal deaths and live births) are restricted to fetuses and infants weighting 1000 grams or more"]
[251,"i","nA",15,"c","Perinatal mortality per 1.000 births",null,"Joumard et al. 2010","B",null,"Joumard I, André C & Nicq C (2010) Health Care Systems: Efficiency and Institutions (Vol. 769): OECD Publishing.",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Includes both late foetal deaths and early neonatal infant deaths",null,null,null,null,"nA"]
[251,"i",43,15,"c","Foetal Mortality Rate",null,"Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,"Foetal mortality after the 28th week of pregnancy. Rate per 1 000 births. Age-standardised."]
[252,"i",44,15,"c","Neonatal Mortality",null,"Sweden - Socialstyrelsen. (2013)","E",null,"Socialstyrelsen. (2013). Quality and Efficiency in Swedish Health Care - Regional Comparisons 2012. Retrieved from http://www.socialstyrelsen.se/publikationer2013/2013-5-7",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,"Percentage of infants with nosocomial infections among all those receiving neonatal care"]
[252,"i","C2",15,"c","Neonatal mortality rate by gestational age, birth weight, plurality","The number of neonatal deaths (day 0 through 27) after live birth in a given year per 1000 live births in the same year calculated by gestational age, birth weight and plurality.\nThis rate is presented for all births at or after 22 completed weeks of gestation.\nThis rate is sub-divided by timing of death into early neonatal deaths (0-6 days of life) and late neonatal deaths (7-27 days).","Europeristat","A",null,"Euro-Peristat. (2012). Euro-Peristat project - Better statistics for better health for pregnant women and their babies.   Retrieved from http://www.europeristat.com/",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"The number of neonatal deaths (day 0 through 27) after live birth in a given year per 1000 live births in the same year calculated by gestational age, birth weight and plurality.\nThis rate is presented for all births at or after 22 completed weeks of gestation.\nThis rate is sub-divided by timing of death into early neonatal deaths (0-6 days of life) and late neonatal deaths (7-27 days)."]
[362,"i","C1",15,"s","Fetal mortality rate by gestational age, birth weight, plurality","The number of fetal deaths at or after 22 completed weeks of gestation in a given year per 1000 live and stillbirths in the same year calculated by gestational age, birth weight\nand plurality.\nFetal deaths are differentiated by whether they are spontaneous fetal deaths or result from a termination of pregnancy.\nCohort rates (deaths after live birth in the year, even if the deaths occur in the following year) are also collected by the Euro-Peristat project.","Europeristat","A",{"$f":"COUNTIF(L1755:BB1755,\">0\")","v":1},"Euro-Peristat. (2012). Euro-Peristat project - Better statistics for better health for pregnant women and their babies.   Retrieved from http://www.europeristat.com/",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"The number of fetal deaths at or after 22 completed weeks of gestation in a given year per 1000 live and stillbirths in the same year calculated by gestational age, birth weight\nand plurality.\nFetal deaths are differentiated by whether they are spontaneous fetal deaths or result from a termination of pregnancy.\nCohort rates (deaths after live birth in the year, even if the deaths occur in the following year) are also collected by the Euro-Peristat project."]
[254,"i",null,15,"c","Infant/young child mortality rate (infants <1 year; children aged 1-4 years)",null,"AIHW. (2014)","D",null,"AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The number of deaths of infants (those aged under 1) divided by the number of live births, and the number of deaths of young children (those aged 1–4) divided by the population of the same age."]
[255,"i","16.1.",15,"c","Maternal deaths per 100 000 live births (ICD-10 codes O00–O99)","The maternal mortality ratio is the annual number of female deaths from any cause related to or aggravated by pregnancy or its management (excluding accidental or incidental causes), during pregnancy and childbirth or within 42 days of termination of pregnancy, irrespective of the duration and site of the pregnancy, per 100 000 live births, for a specified year.","WHO Health 2020","C",null,"WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The maternal mortality ratio is the annual number of female deaths from any cause related to or aggravated by pregnancy or its management (excluding accidental or incidental causes), during pregnancy and childbirth or within 42 days of termination of pregnancy, irrespective of the duration and site of the pregnancy, per 100 000 live births, for a specified year.",null,"Complications during pregnancy and childbirth are a leading cause of death and disability among women of reproductive age in developing countries. The maternal mortality ratio represents the risk associated with each pregnancy: the obstetric risk. It is also a Millennium Development Goal indicator for monitoring Goal 5 – improving maternal health.\nThe indicator monitors deaths related to pregnancy and childbirth. It reflects the capacity of health systems to provide effective health care to prevent and address the complications occurring during pregnancy and childbirth.",null,"HFA (49)","nA"]
[255,"i","nA",15,"c","Life expectancy: Maternal mortality",null,"IOM 2015","D",null,"IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[256,"i",null,15,"c","Potentially avoidable deaths",null,"AIHW. (2014)","D",null,"AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The number of deaths each year of people aged under 75 that are potentially avoidable within the present health system. Divided into preventable deaths (those amenable to primary prevention or screening) and deaths from potentially treatable conditions (those amenable to therapeutic interventions) (SCRGSP 2012). Deaths due to some external causes, such as suicide and road accidents, are included as potentially preventable. Data are presented as an age-standardised rate (per 100,000 population)."]
[256,"i",null,15,"c","Potential gains in life expectancy in days if avoidable mortality were avoided in 2008",null,"Estonia HSPA (2010)","E",null,"WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Health expenditure and efficiency: efficiency"]
[257,"i","H-8b",15,"c","Preventable mortality",null,"JAF Health (DG EMPL)","A",null,"EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Total number of deaths which can be attributed to preventable deaths (list of ICD codes defined by Eurostat's TS Satellite list).",null,null,null,"Eurostat (COD)"]
[257,"i",null,15,"c","Avoidable Deaths From Preventable Causes",null,"CIHI In Depth (2014)","D",null,"CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Deaths from preventable causes are those that might have been avoided through efforts that prevent disease from happening, such as vaccinations, lifestyle changes (such as quitting smoking) or injury prevention.","This indicator examines deaths from preventable causes in people younger than 75. Deaths from preventable causes are those that might have been avoided through efforts that prevent disease from happening, such as vaccinations, lifestyle changes (such as quitting smoking) or injury prevention. It is calculated by dividing the number of deaths from preventable causes for those age 75 and younger by the mid-year population age 75 and younger.","Avoidable deaths tell us about the effectiveness of health care, health promotion and disease prevention policies in preventing premature deaths. Deaths from preventable causes are those that might have been avoided through efforts such as vaccinations, lifestyle changes (such as quitting smoking) or injury prevention.\nLower is better. It means there were fewer deaths from preventable causes.",null,"·      Vital Statistics, Statistics Canada",null,null,"http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=1114183"]
[257,"i",8,15,"c","Avoidable deaths from ischaemic heart disease per 100 000 inhabitants age 1–79",null,"Sweden - Socialstyrelsen. (2015)","E",null,"Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[258,"i","nA",15,"c","Amenable mortality",null,"Medeiros & Schwierz 2015 (DG-ECFIN)","A",null,"Medeiros J & Schwierz C (2015) Efficiency estimates of health care systems - European Commission Economic Papers (Vol. 549). Brussels: European Economy.",0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Standardized death rates for causes of death with amenable mortality per 100 000 inhabitants. Causes of death selected are based on AMIEHS (2011) and availability in Eurostat. In AMIEHS, causes of death were identified that can be considered ‘amenable’. International classification of diseases (ICD) 10 codes: Human immunodeficiency virus [HIV] disease (B20- B24); Malignant neoplasm of colon, rectosigmoid junction, rectum, anus and anal canal (C18- C21); Malignant neoplasm of breast (C50); Malignant neoplasm of cervix uteri (C53);  Ischaemic heart diseases (I20-I25); Cerebrovascular diseases (I60-I69)."]
[258,"i",4,15,"c","Amenable mortality",null,"MoH New Zealand 2016","D",null,"Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Deaths under age 75 years (‘premature’ deaths) from causes classified as amenable to health care (currently a list of 35 causes).",null,"‘Prevention and early detection’"]
[258,"i","HS-3",15,"c","Amenable mortality (rate/100 000 pop, age-adjusted)",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
[259,"i","1.1.",15,"c","Standardized mortality rate from all causes, disaggregated by age, sex and cause of death",null,"WHO Health 2020","C",null,"WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"HFA-MDB (mortality indicator database of WHO Europe)","Age, Cause, Sex"]
[259,"i",3,15,"c","Standardised mortality rates (all-cause, Cancers, cardiovascular disease, diabetes [as primary or secondary], smoking related)",null,"Malta - Grech et al. (2015)","E",null,"Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,"Deaths caused by specific diseases or disease groups per 100,000 inhabitants","Number of deaths per 100,000 inhabitants (age-standardized rates). The (age-) standardized death rate is a weighted average of age-specific mortality rates. The weighting factor is the age distribution of a standard reference population. Standardization is carried out through the direct method. The standard reference population used is the European standard population as defined by the World Health Organisation (WHO). The annual average population available in Eurostat's demography database is used to calculate the rates"]
[260,"e-diss",2,15,"c","Mortality from cancer","Deaths from all cancers are classified to ICD-10 codes C00-C97. \nAge-standardised rates per 100 000 population. ","Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Deaths from all cancers are classified to ICD-10 codes C00-C97. ",null,null,null,"WHO Mortality Database"]
[260,"e-diss",null,15,"c","Cervical cancer mortality","Age-standardised rates per 100 000 women","Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"See indicator “Mortality from cancer”"]
[260,"e-diss",34,15,"c","Breast cancer deaths per 100,000 female population",null,"CWF State Scorecard","D",null,"D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"nA",null,null,null,"analysis of NVSS–Mortality Data, 2012 and 2013 (NCHS, NVSS n.d.), retrieved using the CDC Wide-ranging OnLine Data for Epidemiologic Research (WONDER) (NVSS 2012 and 2013)."]
[260,"e-diss","1.1.",15,"c","Under 75 mortality rate from cardiovascular disease",null,"UK - NHS (2016)","E",null,"NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,"A measure of the likelihood of dying of heart disease under the age of 75, which allows for comparisons between populations with different age profiles and over time.\nDirectly age-standardised mortality rate from cardiovascular disease for people aged under 75."]
[261,"e2",null,15,"s","Excess mortality from psychiatric disorders","This indicator is a ratio of two mortality rates (Rate 1 and Rate 2 below) and aims to measure the excess mortality from all causes in people who have a diagnosis of schizophrenia.\nRate 1: Directly age- and sex-standardised “all cause” mortality rate in the reference year (e.g. 2013) for all persons aged between 15 and 74 years old in the population with schizophrenia. Numerator: All deaths among the denominator population in the reference year. Denominator: All people aged 15-74 ever diagnosed with schizophrenia (see list of ICD codes) as obtained from a register or equivalent data source in the reference year.\nRate 2: Directly age- and sex-standardised “all cause” mortality rate in the same reference year for all persons aged between 15 and 74 years old in the total population. Numerator: All deaths among the denominator population in the reference year. Denominator: All people aged 15-74 in the reference year.\n\nThis indicator is a ratio of two mortality rates and aims to measure the excess mortality from all causes in people who have a diagnosis of bipolar disorder.\nRate 1: Directly age- and sex-standardised “all cause” mortality rate in the reference year (eg 2013) for all persons aged between 15 and 74 years old in the prevalent population with bipolar disorder. \nNumerator: All deaths among the denominator population in the reference year. \nDenominator: All people aged 15-74 ever diagnosed with bipolar disorder (see list of ICD codes) as obtained from a register or equivalent data source in the reference year.\nRate 2: Directly age- and sex-standardised “all cause” mortality rate in the same reference year for all persons aged between 15 and 74 years old in the total population.\nNumerator: All deaths among the denominator population in the reference year. Denominator: All people aged 15-74 in the reference year","Consolidated","B, E",{"$f":"COUNTIF(L1824:BB1824,\">0\")","v":2},"Consolidated",{"$f":"COUNTIF(L1825:L1828,1)","v":0},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0]
[261,"e2",null,15,"c","Excess mortality from bipolar disorder","This indicator is a ratio of two mortality rates and aims to measure the excess mortality from all causes in people who have a diagnosis of bipolar disorder.","Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"This indicator is a ratio of two mortality rates and aims to measure the excess mortality from all causes in people who have a diagnosis of bipolar disorder.","Rate 1: Directly age- and sex-standardised “all cause” mortality rate in the reference year (eg 2013) for all persons aged between 15 and 74 years old in the prevalent population with bipolar disorder. \nNumerator: All deaths among the denominator population in the reference year. \nDenominator: All people aged 15-74 ever diagnosed with bipolar disorder (see list of ICD codes) as obtained from a register or equivalent data source in the reference year.\nRate 2: Directly age- and sex-standardised “all cause” mortality rate in the same reference year for all persons aged between 15 and 74 years old in the total population.\nNumerator: All deaths among the denominator population in the reference year. Denominator: All people aged 15-74 in the reference year"]
[262,"e-diss",null,15,"s","Mortality rates from external causes","Total population, disaggregated by sex. \nExternal causes of mortality V01-Y89 as accidents and violence including environmental events, circumstances and conditions as the cause of injury, poisoning, and other adverse effects.","Consolidated","A, B, C, D, E",{"$f":"COUNTIF(L1829:BB1829,\">0\")","v":6},"Consolidated",{"$f":"COUNTIF(L1830:L1839,1)","v":0},0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,5,0,0,0,0,1,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0]
[262,"e-diss","6.5.",15,"c","Agestandardized mortality rates from accidental falls (ICD-10 codes W00–W19)",null,"WHO Health 2020","C",null,"WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"HFA-MDB (mortality indicator database of WHO Europe)"]
[262,"e-diss",null,15,"c","Number of deaths due to alcohol-related motor vehicle accidents",null,"Portugal HSPA (2010)","E",null,"World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,"Addressing main risk factors and promoting healthier lifestyles"]
[262,"e-diss",null,15,"c999","Mortality rate due to alcohol-related motor vehicle accidents",null,"Consolidated",999,null,null,0]
[263,"e-diss",8,15,"c","Fatal accidents at the place of work/fatality rates - per economic sector",null,"Malta - Grech et al. (2015)","E",null,"Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,"Incidence rates relate the number of accidents to the reference population of persons in employment (persons exposed to the risk of accident at work). A fatal accident is defined as an accident, which leads to the death of a victim within one year of the accident. The incidence rate as defined by the European Statistics on Accidents at Work methodology is the number of accidents at work per 100 000 persons in employment. From an epidemiological point of view an incidence rate should relate the number of accidents to the working hours of the reference population. This approach would describe more precisely the relevant exposure as time under risk and therefore adjust for differences, e.g. with regard to different working hours or differences with regard to part-time employment’."]
[264,"e-diss","6.4.",15,"c","Agestandardized mortality rates from suicides (ICD-10 codes X60–X84)",null,"WHO Health 2020","C",null,"WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"HFA-MDB (mortality indicator database of WHO Europe)"]
[264,"e-diss","MH-1",15,"c","Deaths due to suicide (/100 000 pop)",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
[264,"e-diss",11,15,"c","Suicides and deaths with undetermined intent per 100 000 inhabitants, 35–79 years old. Age-standardised.",null,"Sweden - Socialstyrelsen. (2015)","E",null,"Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[265,"e-diss",16,15,"c","Alcohol-related deaths","Death rates from combined, selected causes of death which are related to alcohol use in people, per 100,000 by age-group (aged 15+, 15-44, 45-64, 65+), by sex","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Mortality caused by alcohol consumption. Number of premature deaths that may be attributed to alcohol\nconsumption in the population (Alcohol Atributable Deaths (AAD)) out of the total number of deaths*100)","The methodology described below is based on the methodology applied in the European ODHIN project,\nthough the selection of ICD codes is divergent; this is based on the deaths codes used by WHO for the\nGlobal Burden of Disease study (for reasons of comparability with other international data on alcohol\nattributable mortality).\nAlcohol Attributable Deaths (AAD) are defined as:\nAAD = AAF*D\nAADs = Sum AAD (all causes)\nwhere D is the number of deaths due to a specific cause or group of causes affected by the risk factor with\nrelative risk, in this case alcohol consumption. The AAF by age groups and gender has to be multiplied by\nthe total number of deaths per cause.\nAlcohol-attributable fractions (AAFs) are generally defined as the proportion of a disease in a population that\nwill disappear if alcohol is removed. AAFs are calculated by using the Alcohol-Attributable Fraction formula:\nAAF = [Σk\ni =1 Pi(RRi – 1)] / [Σ k\ni =0 Pi(RRi – 1) + 1]\nwhere i is the category of alcohol usage (i = 1-3) or no alcohol (i=0), RRi is the relative risk at exposure level\ni, compared with no alcohol consumption, Pi is the prevalence of the ith category of alcohol consumption,\nand k is the highest drinking category.\nRelative Risks of drinking exposure levels are available from several studies and will be used from selected\nsources (see references 1-3), and the overview of RRs to be used for the calculation of this indicator in annex 1.\nThe drinking categories required for the calculation of this indicator are: category i=1: females=(0.25-19.99\ng/day); males=(0.25- 39.99 g/day); category i=2: females=(20-39.99 g/day); males (40-59.99 g/day); category\ni=3: females=(40+ g/day); males=(60+ g/day).\nThere are diseases wholly attributable to alcohol (group 1 for which AAF=1), meaning that they would\nnot exist without it. Furthermore, alcohol is a contributory cause in a fair number of diseases partially\nattributable to alcohol (group 2) and unintentional and intentional injuries (group 3). The total number\nof Alcohol-attributable deaths is equal to AAD(group1)+ AAD(group2)+AAD(group3). See annex 2 for an\noverview of ICD codes to be used in the calculation of this indicator.",null,null,"Eurostat (EHIS) or national HIS for data on alcohol use; Eurostat for mortality data","sex, 8 age groups","nA","nA","nA"]
[267,"i",null,16,"s","Incidence rate of sexually transmitted infections and blood-borne viruses","Disaggregated by sex and age group (0-24, 25-64, 65+). \nThe number of new cases per 100,000 population of syphilis, HIV, AIDS, hepatitis B, hepatitis C, chlamydia and gonococcal infections.","Consolidated","A, C, D, E",{"$f":"COUNTIF(L1864:BB1864,\">0\")","v":7},"Consolidated",{"$f":"COUNTIF(L1865:L1874,1)","v":2},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,1,0,0,0,3,0,1,0,1,0,0,0,0,0,0,0]
[267,"i",null,16,"c","Incidence of sexually transmitted infections and blood-borne viruses (syphillis, HIV, Hep B, Hep C, chlamydia, gonococcal infection)",null,"AIHW. (2014)","D",null,"AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The number of new cases of syphilis, HIV, hepatitis B, hepatitis C, chlamydia and gonococcal infections."]
[267,"i","HP-3",16,"c","Incidence of HIV (new diagnoses/100 000 pop)",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
[267,"i",40,16,"c","Unprotected sex - chlamydia",null,"Sweden - Socialstyrelsen. (2015)","E",null,"Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,"Cases of chlamydia infection per 100 000 inhabitants, 15–29 years old.",null,"Lifestyle and living habits: sexual and reproductive health and rights"]
[269,"i","P-5",16,"c","Incidence of measles (new cases/million pop)",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
[271,"i",null,16,"s","Birth weight distribution by vital status, gestational age, plurality","Number of births within each 500g weight interval expressed as a proportion of all live and stillbirths calculated by gestational age and vital status at birth for singletons and multiples.\nPercentage of life births with weighing less than 2500 grams per 100 live births in a given year.","Consolidated","A, B, D, E",{"$f":"COUNTIF(L1882:BB1882,\">0\")","v":5},"Consolidated",{"$f":"COUNTIF(L1883:L1887,1)","v":1},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0]
[271,"i","C4",16,"c","Birth weight distribution by vital status, gestational age, plurality",null,"Europeristat","A",null,"Euro-Peristat. (2012). Euro-Peristat project - Better statistics for better health for pregnant women and their babies.   Retrieved from http://www.europeristat.com/",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"Number of births within each 500g weight interval expressed as a proportion of all live and stillbirths calculated by gestational age and vital status at birth for singletons and multiples."]
[272,"i",33,16,"c","Self-perceived health","Disaggregated by by sex, age-group (15-64, 65+), educational level (ISCED 0-1, 2, 3-4, 5-6), by income quintile (gap q1/q5). \nProportion of persons who assess their health to be very good or good. ","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Proportion of persons who assess their health to be (very) good.","Proportion of persons who assess their health to be very good or good, based on EU-SILC question on self- perceived health (‘How is your health in general?’), which contains five answering categories; 1) very good,\n2) good, 3) fair, 4) bad, 5) very bad. Numbers of people assessing their health as either very good or good should be added and divided by the total number of people who were interviewed. Age-standardization: see remarks.","Subjective health measurement is contributing to the evaluation of health problems, the burden of diseases\nand health needs at the population level. Perceived health status is not a substitute for more objective\nindicators but rather complements these measures. Studies have shown perceived health to be a good\npredictor of subsequent mortality.","Values","Eurostat (EU-SILC)","• Calendar year\n• Country\n• Sex\n• Age group (16-64, 65+)\n• Socio-economic status (educational level. ISCED 3 aggregated groups: 0-2; 3+4; 5+6; see remarks).","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_silc_02&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_silc_01_esms.htm","http://ec.europa.eu/health/indicators/docs/echi_33.pdf"]
[272,"i","H-3",16,"c","Self-perceived general health",null,"JAF Health (DG EMPL)","A",null,"EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Percentage of people reporting a good or very good health.",null,null,null,"Eurostat (EU-SILC)"]
[272,"i",null,16,"c","Perceived health status in adults aged 65 years and over",null,"Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[272,"i","nA",16,"c","Perceived health status ",null,"How's life? 2015","B",null,"OECD (2015) How's Life? 2015: Measuring Well-being, OECD Publishing, Paris. DOI: http://dx.doi.org/10.1787/how_life-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Percentage of the population aged 15 and over (adults) who report being in \"good\" or \"very good\" health. ",null,null,null,"Eurostat",null,null,"http://www.keepeek.com/Digital-Asset-Management/oecd/economics/how-s-life-2015_how_life-2015-en#page74"]
[272,"i","nA",16,"c","Well-being: Self-reported health",null,"IOM 2015","D",null,"IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"It is a uniquely broad and accessible measure that encompasses such factors as mental health, disability, and reproductive health, among others, in a simple manner that needs no explanation. Self-reported health status has been shown to be an independent predictor of life expectancy and a reliable measure for health and wellness. It also has been shown to be a useful predictor for expenditures. ",null,"CDC (NHIS)","gender, race, ethnicity"]
[272,"i",null,16,"c","Self-assessed health status by age groups, level of education",null,"Portugal HSPA (2010)","E",null,"World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,"Improving the health status of the Portuguese, \nImproving equity in health"]
[275,"i",null,16,"s","Long-term activity limitations","Disaggregated by sex, by age-group (15-64, 65+), by educational level (ISCED class 0-1, 2, 3-4, 5-6).\nProportion of people reporting that they have long- term restrictions in daily activities. ","Consolidated","A, B, D",{"$f":"COUNTIF(L1913:BB1913,\">0\")","v":5},"Consolidated",{"$f":"COUNTIF(L1914:L1919,1)","v":1},0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[275,"i",35,16,"c","Long-term activity limitations","Proportion of people reporting that they have long- term restrictions in daily activities by sex, by age-group (15-64, 65+), by educational level (ISCED class 0-1, 2, 3-4, 5-6)","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Proportion of people reporting that they have long-term restrictions in daily activities.","Proportion of people who answer “yes strongly limited” or “yes limited” to EU-SILC question: For at least the past 6 months, to what extend you have been limited because of a health problem in activities people usually do? (Answering categories; yes strongly limited, yes limited, no not limited). Numbers of people answering “yes strongly limited” or “yes limited” should be added and divided by the total number of people who were interviewed. Age-standardization: see remarks.","Widely used measure of general health, contributing to the evaluation of health problems, the burden of\ndiseases and health needs at the population level.","Percentage","Eurostat (EU-SILC)","• Calendar year\n• Country\n• Sex\n• Age group (16-64, 65+)\n• Socio-economic status (educational level. ISCED 3 aggregated groups: 0-2; 3+4; 5+6; see remarks\n","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_silc_07&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_silc_01_esms.htm","http://ec.europa.eu/health/indicators/docs/echi_35.pdf"]
[275,"i",38,16,"c","Percent of adults ages 18–64 report being in fair or poor health, or who have activity limitations because of physical, mental, or emotional problems",null,"CWF State Scorecard","D",null,"D. McCarthy, D. Radley, and S. Hayes, Aiming Higher: Results from a Scorecard on State Health System Performance, 2015 Edition, The Commonwealth Fund, December 2015, http://www.commonwealthfund.org/~/media/files/publications/fund-report/2015/dec/2015_scorecard_v5.pdf ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"nA",null,null,null,"2013 and 2014 Behavioral Risk Factor Surveillance System (NCCDPHP, BRFSS 2013, 2014)."]
[277,"e0","nA",16,"c","General musculoskeletal pain",null,"ESIF for Health 2015","A",null,"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Proportion of people reporting to experience general musculoskeletal pain",null,"health status"]
[279,"e2",null,16,"s","Self-reported mutliple chronic morbidity","Proportion of people reporting that they have multiple long-standing chronic illnesses or long-standing health problems.","Consolidated","D",{"$f":"COUNTIF(L1928:BB1928,\">0\")","v":1},"Consolidated",{"$f":"COUNTIF(L1929,1)","v":0},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[279,"e2","nA",16,"c","Well-being: Multiple chronic conditions",null,"IOM 2015","D",null,"IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[280,"i",28,16,"c","Female breast Cancer incidence","per 100 000","WHO Core Health 2015","C",null,"World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[280,"i",6,16,"c","Standardised incidence rates of cancer (breast, colorectal, prostate, lung, cervical)",null,"Malta - Grech et al. (2015)","E",null,"Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,"Total cancer incidence and incidence of the most important cancers, per 100,000 population, in a given year’.","Number of patients with newly diagnosed cancer during a given calendar year divided by person-years at risk, expressed per 100,000 population. The age standardize incidence rate is calculated"]
[281,"i",null,16,"c","Age-adjusted prevalence rate for Type 2 diabetes",null,"AIHW. (2009)","D",null,"AIHW. (2009). National Health Performance Framework (NHPF).   Retrieved from http://www.aihw.gov.au/WorkArea/DownloadAsset.aspx?id=6442472799",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"???"]
[281,"i",null,16,"c","Prevalence of Diabetes",null,"CIHI In Depth (2014)","D",null,"CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"·      Canadian Community Health Survey, Statistics Canada"]
[283,"i",24,16,"c","AMI","by sex and by age-group (35-74, 35-64), per 100,000.","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Attack rate of acute myocardial infarction (non-fatal and fatal) and coronary death per 100,000 population.","Age-standardized attack rate by sex in age group 35-74 in the population in a given calendar year, based\non combined hospital discharge (ICD-10 codes I21, I22) and mortality data (ICD-10 codes I20-I25)\n(EUROCISS project recommendation). Attack rate counts the first and recurrent events, whenever there\nis at least 28 days between the onsets of the events. Age standardization should be done for men and\nwomen separately, according to the direct method, using the 1976 WHO European population as standard\npopulation (this is the method applied for the Eurostat diagnosis-specific morbidity statistics; see references\n(document principles and guidelines in CIRCA)).","High-burden disease and cause of death. These diseases are preventable.",null,"n.a., National data (registers, administrative sources)","• Calendar year\n• Country\n• Region (according to ISARE recommendations)\n• Sex\n• Age group:\n- for age standardization data must be collected by 5 year age groups for ages 35-74\n- for data presentations it is required to present the following age groups; 35-64, 65-74\n• Socio-economic status (see data availability)","nA","nA","nA"]
[283,"i",5,16,"c","Incidence rate of myocardial infarction per 100 000 inhabitants 20–79 years old. Age-standardised. By education, sex",null,"Sweden - Socialstyrelsen. (2015)","E",null,"Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[285,"e2","nA",16,"c","Blood pressure",null,"ESIF for Health 2015","A",null,"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Proportion of persons reporting diagnosed high blood pressure (hypertension) in the last 12 months",null,"Preventive health determinants"]
[285,"e2",41,16,"c","Estimated age-standardized prevalence of raised blood pressure (systolic blood pressure ≥ 140 or diastolic blood pressure ≥ 90)",null,"WHO Core Health 2015","C",null,"World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[286,"e2","26 (B)",16,"c","Asthma, register-based prevalence","Number of individuals per sex and by age-group (0-14, 15+), per 100,000/% of population, that have ever been diagnosed with asthma and that have been affected by this condition during the past 12 months.","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Number of individuals that have ever been diagnosed with asthma and that have been affected by this condition during the past 12 months. Expressed per 100,000 and as percentage of total population.","National best estimate of number of individuals that have ever been diagnosed with asthma and that have\nbeen affected by this condition during the past 12 months (ICD-10 codes J45, J46). Age standardization\nshould be done for men and women separately, according to the direct method, using the 1976 WHO\nEuropean population as standard population (this is the method applied for the Eurostat diagnosis-specific\nmorbidity statistics; see references (document principles and guidelines in CIRCA)).","Asthma is a significant public health problem and a high-burden disease for which prevention is partly\npossible and treatment can be quite effective.",null,"n.a., Eurostat (morbidity strand) or national data","• Country.\n• Calendar year.\n• Sex.\n• Age group:\n- for age standardization data must be collected by 5 year age groups (see calculation)\n- for data presentations it is required to present the following age groups; 0-14, 15+\n• Socio-economic status (see data availability).\n• Region (according to ISARE recommendations; see data availability)","nA","nA","nA"]
[287,"i","27 (B)",16,"c","COPD, register-based prevalence rate","Disaggregated by sex and age-group (15+, 15-64). \nNumber of individuals that have ever been diagnosed with chronic obstructive pulmonary disease (COPD) and that have been affected by this condition during the past 12 months, per 100,000 / % of population.","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Number of individuals that have ever been diagnosed with chronic obstructive pulmonary disease and that\nhave been affected by this condition during the past 12 months. Expressed per 100,000 and as percentage of\ntotal population.","National best estimate of number of individuals that have ever been diagnosed with chronic lower respiratory\ndiseases other than asthma, including COPD, and that have been affected by this condition during the past\n12 months (ICD-10 codes J40-J44; includes chronic bronchitis, emphysema and other chronic obstructive\npulmonary disease (COPD)). Age standardization should be done for men and women separately, according\nto the direct method, using the 1976 WHO European population as standard population (this is the method\napplied for the Eurostat diagnosis-specific morbidity statistics; see references (document principles and\nguidelines in CIRCA)).","COPD is a high-burden disease causing disability and impairing quality of life, as well as generating high\ncosts. COPD is among the leading causes of chronic morbidity and mortality in the EU. Prevention is partly\npossible and treatment can be quite effective. Smoking is the major risk factor for COPD.",null,"n.a., Eurostat (morbidity strand) or national data","• Country.\n• Calendar year.\n• Sex.\n• Age group:\n- for age standardization data must be collected by 5 year age groups (see calculation)\n- for data presentations it is required to present the following age groups; 15-64, 65+\n• Socio-economic status (see data availability).\n• Region (according to ISARE recommendations; see data availability)","nA","nA","nA"]
[289,"e1","29 (A)",16,"c","Injuries: home/leisure, self-reported incidence rate","Disaggregated by sex, age-group (15+, 15-24, 25-64, 65+), by educational level (ISCED class 0-2, 3-4, 5-6). \nProportion of individuals reporting to have had an accident at home, during leisure activities, and/ or at school during the past 12 months, which a) resulted in injury; b) resulted in injury for which medical treatment was sought ","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"1) Proportion of individuals reporting to have had an accident at home, during leisure activities, and/or at\nschool during the past 12 months, which resulted in injury.\n2) Proportion of individuals reporting to have had an accident at home, during leisure activities, and/or at\nschool during the past 12 months, which resulted in injury for which medical treatment was sought.","1) Proportion of individuals reporting to have had a home and leisure accident during the past 12 months, derived from EHIS question HS.7: In the past 12 months, have you had any of the following type\nof accidents resulting in injury (external or internal)? 3. Accident at school, and 4. Home and leisure accident (yes / no). Respondents answering yes to either or both of the above mentioned HS7 answering categories should be added.\n2) Proportion of individuals reporting to have had a home and leisure accident during the past 12 months, derived from EHIS: question HS.7 and HS.8: HS.7 In the past 12 months, have you had any of the following type of accidents resulting in injury (external or internal)? 3. Accident at school, and 4. Home and leisure accident (yes / no). Respondents answering yes to either or both of the above mentioned HS7 answering categories should be added, and from these respondents the ones answering positively to HS.8 should be extracted; HS.8: Did you visit a doctor, a nurse or an emergency department of a hospital as\na result of this accident? (Yes, I visited a doctor or nurse / Yes, I went to an emergency department / No consultation or intervention was necessary).\nEHIS data will not be age standardized.","Annually, in the EU more than 60 million people receive medical treatment for an injury, from which\nan estimated 7 million are admitted to hospital. Two-thirds of all injuries occur in home and leisure\nenvironments - a trend that is on the increase across Europe. Detailed injury data (in particular on external\ncircumstances as activities, settings, products involved) makes it possible to develop prevention measures,\nmonitor injury trends, prioritise issues, guide policies and evaluate the success of interventions designed to\nreduce injuries.",null,"Eurostat (EHIS) or national HIS","• Country\n• Calendar year\n• Sex\n• Age group (15-24; 25-64; 65+)\n• Socio-economic status (educational level. ISCED 3 aggregated groups: 0-2; 3+4; 5+6)\n• Region (according to ISARE recommendations; see data availability)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_st2&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hlth_det_esms.htm","http://ec.europa.eu/health/indicators/docs/echi_29a.pdf"]
[289,"e1","29 (B)",16,"c","Injuries: home/leisure, register-based incidence","Number of accidents at home and/or during leisure activities during the past 12 months, resulting in an injury that required treatment in a hospital, expressed per 100,000 by sex and age-group (0-14, 15-24, 25-64, 65+).","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Number of accidents at home and/or during leisure activities during the past 12 months, resulting in an\ninjury that required treatment in a hospital, expressed per 100,000.","Crude incidence rate according to the Injury Database (IDB) methodology (see remarks for more information on IDB). Numerator: occurrence of hospital treated home/leisure injuries (inpatient and outpatient-treatments, excluding “deceased”) in a given calendar year, projected to the resident population based on national Hospital Discharge (HD) register. Denominator: Resident population. If there is no national HD register available, the projection is done based on the HD statistics of the IDB hospital with   the aggregated catchment population of this hospital as provided by the national IDB data administrator. In IDB the incidence rates are expressed per 1,000 inhabitants; ECHIM expresses them per 100,000 to enhance comparability with other morbidity and mortality indicators in the ECHI shortlist.","Annually, in the EU more than 60 million people receive medical treatment for an injury, from which\nan estimated 7 million are admitted to hospital. Two-thirds of all injuries occur in home and leisure\nenvironments - a trend that is on the increase across Europe. Detailed injury data (in particular on external\ncircumstances as activities, settings, products involved) makes it possible to develop prevention measures,\nmonitor injury trends, prioritise issues, guide policies and evaluate the success of interventions designed to\nreduce injuries.",null,"IDB or national data","- Country.\n- Calendar year.\n- Sex.\n- Age group (Data are collected in IDB by 5 year age groups (see data availability). For data presentation purposes, ECHIM recommends the use of the following aggregated age groups: 0-14, 15-24; 25-64; 65+).\n- SES (see data availability).\n- Region (according to ISARE recommendations; see data availability)","nA","nA","nA"]
[290,"i",null,16,"c","road traffic accidents",null,"EuroSafe","A",null,"EuroSafe. (2016). European Association for Injury Prevention and Safety Promotion (EuroSafe).   Retrieved from http://www.eurosafe.eu.com/",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
[291,"e2",31,16,"c","Injuries: workplace","Standardises incidence rate of accidents at work per 100,000 workers by sex and age-group (18-24, 25-64, 65+)","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Standardised incidence rate of serious accidents at work.","The standardised incidence rate of serious accidents at work is the number of persons involved in accidents at work resulting in more than 3 days’ absence per 100,000 persons in employment. An accident at work is a discrete occurrence in the course of work which leads to physical or mental harm. This includes accidents in the course of work outside the premises of one’s business, even if caused by a third party (on clients’ premises, on another company’s premises, in a public place or during transport, including road traffic accidents) and cases of acute poisoning. Occurrences having only a medical origin, occupational diseases and accidents on the way to work are excluded. A serious accident is one that causes more than three days absence from work excluding the day of the accident. The incident rates are standardised by economic activity to eliminate differences due to different distributions of the national workforce across the high-risk\nand low-risk industries. This is achieved by giving each aggregated NACE branch the same weight at national level as in the European Union total (see remarks and references for more information on NACE and the standardisation procedure).\n","This indicator provides information about the risk of the occurrence of a serious accident at work. This is\nregarded as an indication/determinant of the (occupational) health and an indication of safety regulations in\na country.","Rate","Eurostat (ESAW)","• Calendar year\n• Country\n• Region (according to ISARE recommendations; see data availability)\n• Sex\n• Age group (18-24, 25-64 and 65+)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hsw_mi01&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/hsw_acc_work_esms.htm","http://www.healthindicators.eu/healthindicators/object_binary/o3009_31.-Injuries-workplace.pdf"]
[292,"i",null,16,"s","Incidence rate of occupational diseases","Incidence rates (new cases) of work-related/occupational diseases. \nWHO definition: An “occupational disease” is any disease contracted primarily as a result of an exposure to risk factors arising from work activity. “Work-related diseases” have multiple causes, where factors in the work environment may play a role, together with other risk factors, in the development of such diseases. (http://www.who.int/occupational_health/activities/occupational_work_diseases/en/)","Consolidated","E",{"$f":"COUNTIF(L1988:BB1988,\">0\")","v":1},"Consolidated",{"$f":"COUNTIF(L1989,1)","v":0},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[292,"i",null,16,"c","Incidence of occupational diseases","Incidence rates (new cases) of work-related/occupational diseases. \nWHO definition: An “occupational disease” is any disease contracted primarily as a result of an exposure to risk factors arising from work activity. “Work-related diseases” have multiple causes, where factors in the work environment may play a role, together with other risk factors, in the development of such diseases. (http://www.who.int/occupational_health/activities/occupational_work_diseases/en/)","Estonia HSPA (2010)","E",null,"WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Incidence rates (new cases) of work-related/occupational diseases. \nWHO definition: An “occupational disease” is any disease contracted primarily as a result of an exposure to risk factors arising from work activity. “Work-related diseases” have multiple causes, where factors in the work environment may play a role, together with other risk factors, in the development of such diseases. (http://www.who.int/occupational_health/activities/occupational_work_diseases/en/)",null,"Broader determinants of health: occupational health"]
[293,"e2",39,16,"c","Psychological well-being","To be developed, e.g. occurrence and extent of psychological well-being during past month; also by income quintile gap. ","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"To be developed, e.g. occurrence and extent of psychological well-being during past month.","Topic needs further development:\n• In the European Health Interview Survey (EHIS) wave I, variables for computing psychological distress were gathered by means of the Energy and Vitality Index (EVI) scale of the RAND Short Form 36. Though this is a well-validated instrument in Western countries, problems were encountered with its application in Eastern European countries. Based on these experiences, the plan for EHIS wave II is to drop the EVI scale from the questionnaire and to not replace it with an alternative for measuring generic mental health.\n• What instrument should we use for gathering data on psychological well-being in Europe, now that the EVI has proven inadequate in practice?\n• What data source to use now that EHIS will no longer provide data?","Psychological well-being is an important indicator of positive mental health and thus one of the core\nindicators to cover the mental health issue. Psychological well-being is linked to better general and mental\nhealth. Promotion and prevention activities may increase the level of well-being.",null,"n.a.","nA","nA","nA","nA"]
[293,"e2","H-10",16,"c","Mental Health",null,"JAF Health (DG EMPL)","A",null,"EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"To be defined.",null,null,null,"Eurostat (EHIS)"]
[293,"e2",null,16,"c","Psychological distress during the past 4 weeks",null,"Eurostat - Quality of Life","A",null,"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Health - Outcomes: Morbidity & health status",null,"http://ec.europa.eu/eurostat/product?mode=view&code=hlth_ehis_st7"]
[294,"e2","23 (B)",16,"c","Depression, register-based prevalence","Number of individuals by sex, by age-group (15+, 15-64, 65+) that have ever been diagnosed with depression and that have been affected by this condition during the past 12 months, per 100,000 / % of population.","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Number of individuals that have ever been diagnosed with depression and that have been affected by this condition during the past 12 months. Expressed per 100,000 and as percentage of total population.","National best estimate of number of individuals that have ever been diagnosed with depression and that have\nbeen affected by this condition during the past 12 months (ICD-10 codes F32-F33; depressive episode and\nrecurrent depressive disorder). Age standardization should be done for men and women separately, according\nto the direct method, using the 1976 WHO European population as standard population (this is the method\napplied for the Eurostat diagnosis-specific morbidity statistics; see references (document principles and\nguidelines in CIRCA)).","High-burden disease. Because of the high frequency of mental health problems in our society and the\nimportance of their costs in human, social and economic terms, mental health should be regarded as a\npublic health priority. The Global Burden of Disease study reckons that mental disorders represent four of\nthe ten leading causes of disability worldwide. Depression is a major mental condition that is amenable to\nintervention.",null,"n.a., Eurostat (morbidity strand) or national data","• Country.\n• Calendar year.\n• Sex.\n• Age group:\n- for age standardization data must be collected by 5 year age groups (see calculation)\n- for data presentations it is required to present the following age groups; 15-64, 65+\n• Socio-economic status (see data availability).\n• Region (according to ISARE recommendations; see data availability)","nA","nA","nA"]
[294,"e2","nA",16,"c","Well-being: Depression",null,"IOM 2015","D",null,"IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[296,"e0",32,16,"s","Suicide attempt","To be developed: Proportion of persons having ever attempted suicide.","ECHI","A",2,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,"To be developed: Proportion of persons having ever attempted suicide.","No consensus yet on best type of data source; special mental health surveys or administrative sources? There are no prospects that suitable international data collections will be developed in the future.","Suicide is an important public health issue and highlights mental health priority. Data on suicide attempts\nsupplement the information already provided by mortality data (see indicator 13 disease-specific mortality).",null,"n.a.","nA","nA","nA","nA"]
[297,"e0","nA",16,"c","Limitations in household activities",null,"ESIF for Health 2015","A",null,"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Proportion of people aged 65+ reporting to have limitations in doing activities of household care related to longstanding health-related problems",null,"Active and healthy ageing"]
[297,"e0",null,16,"c","Estimated prevalence of dementia per 1 000 population","Per 1 000 population","Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[null,null,null,17,999,"DETERMINANTS OF HEALTH",null,"Consolidated",999,null,null,0]
[298,"e1","HP-9",17,"c","Health literacy (at least sufficient level) (% of pop aged 18+)",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"% of people having a sufficient level of health literacy, defined as the ability to access, understand, appraise and apply relevant information to take decisions concerning health care, prevention and health promotion.","The value of the indicator has been calculated as a score derived from a short version of the EU Health Literacy Survey (HLS-EU) project questionnaire; this short versions contains 16 questions. Values of the score are then grouped according to cut off scores into 3 groups: sufficient, problematic and insufficient health literacy. ","Health literacy is considered a crucial resource for health and as a core outcome of health education, which in itself is an important strategy for health promotion. It can be defined as the individual knowledge, motivation and competences to access, understand, appraise and apply information that is relevant for functioning in the health system (health care, diseases prevention and health promotion).1 2 As it gives individuals the possibility to make healthier choices, improving health literacy is critical to empowerment.3 As such, health literacy is increasingly included in European health policies. "]
[299,"i",null,17,"c","Daily smokers of cigarettes by sex, age and income quintile",null,"Eurostat - Quality of Life","A",null,"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Health - Determinants: healthy and unhealthy behaviours",null,"http://ec.europa.eu/eurostat/product?mode=view&code=hlth_ehis_de4"]
[299,"i","nA",17,"c","Daily Smokers",null,"EXPH 2014","A",null,"EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Eurostat (online data code: hlth_ls_smka)"]
[299,"i",null,17,"nr","Ex-smoker",null,"EC-MACELI 2014","A",null,"European Commission (2014). Comparative efficiency of health systems, corrected for selected lifestyle factors. Retrieved from http://ec.europa.eu/health/systems_performance_assessment/docs/2015_maceli_report_en.pdf",0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Eurobarometer data"]
[299,"i",2,17,"c","Age-standardized prevalence of current (includes both daily and non- daily or occasional) tobacco use among people aged 18 years and over",null,"WHO Health 2020","C",null,"WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Current prevalence estimates for use of any tobacco product are derived from the results of the latest adult tobacco-use survey (or a survey that asks tobacco- use questions), adjusted using the WHO regression method for standardization described in the section on method of estimation below.\n“Tobacco use” includes cigarettes, cigars, pipes or any other tobacco products. “Current use” includes both daily and non-daily or occasional use.",null,"The prevalence of current tobacco use among adults is an important measure of the health and economic burden of tobacco, and provides a baseline for evaluating the effectiveness of tobacco control programmes over time.\nAdjusted and age-standardized prevalence rates are constructed solely for the purpose of comparing tobacco-use prevalence estimates across multiple countries or across multiple time periods for the same country. These rates should not be used to estimate the number of smokers in the population.",null,"Source used by the comprehensive global monitoring framework for noncommunicable diseases (Global Health Observatory)","Sex"]
[299,"i",null,17,"c","Proportion of adults who are daily smokers",null,"AIHW. (2014)","D",null,"AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Adults (aged 18 and over) who smoke tobacco (manufactured or roll-your-own) every day. Presented as an age-standardised percentage."]
[299,"i","nA",17,"c","Addictive behavior: Tobacco use",null,"IOM 2015","D",null,"IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[299,"i",22,17,"c","Prevalence of smoking in Males and Females >15yrs - ?inequalities",null,"Malta - Grech et al. (2015)","E",null,"Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,"Percentage of regular daily smokers in the population, age 15+","This indicator is measured using the standard questionnaire during a health interview of a representative sample of the population aged 15 years and above. Many countries are carrying out such health interview surveys on a more or less regular basis. However, most of the data are collected from multiple sources by the Tobacco or Health unit at WHO/EURO"]
[300,"i","5.1.",17,"c","Smokers at first registration with Lead Maternity Carer",null,"MoH New Zealand 2016","D",null,"Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"nA",null,"‘Healthy start’"]
[300,"i",5,17,"c","Percentage of women that smokes during pregnancy",null,"Netherlands - van den Berg et al. (2015)","E",null,"van den Berg, M. J., de Boer, D., Gijsen, R., Heijink, R., Limburg, L., & Zwakhals, S. (2015). Dutch Health Care Performance Report 2014. Retrieved from http://www.rivm.nl/dsresource?objectid=rivmp:277134&type=org&disposition=inline",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,"Antenatal, perinatal and postpartum care - Quality: preventive care"]
[300,"i",36,17,"c","Tobacco Use during Pregnancy",null,"Sweden - Socialstyrelsen. (2015)","E",null,"Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,"Women who smoke or use snus during early pregnancy week 8–12.",null,"Lifestyle and living habits: tobacco use"]
[301,"e2",null,17,"c","Alcohol use past 30 days","Litres of pure alcohol consumed per person aged 15+ per year","EU Youth Health 2015 (DG EAC)","A",null,"European Commission (2011). Commission Staff Working Document on EU indicators in the field of youth. SEC(2011) 401 final.  Retrieved from http://ec.europa.eu/youth/library/publications/indicator-dashboard_en.pdf\nEuropean Commission (2015). Youth monitor - European Commission.   Retrieved from http://ec.europa.eu/youth/dashboard/index_en.htm",0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Share of target group who answered affirmatively to a question asking if they had had any alcoholic beverage to drink in the last 30 days.","Total APC is defined as the total amount of alcohol consumed per adult (15+ years) over a calendar year, in litres of pure alcohol. Recorded alcohol consumption refers to official statistics (production, import, export, and sales or taxation data), while the unrecorded alcohol consumption refers to alcohol which is not taxed and is outside the usual system of governmental control. In circumstances in which the number of tourists per year is at least the number of inhabitants, the tourist consumption is also taken into account and is deducted from the country’s recorded APC (calculation as applied in GISAH database; see references. Also see remarks for more details on the estimation methods for recorded and unrecorded consumption).","Harmful use of alcohol is related to many diseases and health conditions, including chronic diseases such as alcohol dependence, cancer and liver cirrhosis, and acute health problems such as injuries. The level of per\ncapita consumption of alcohol across the population aged 15 years and older is one of the key indicators for\nmonitoring the magnitude of alcohol consumption in the population and likely trends in alcohol-related problems. Reducing alcohol related harm is one of the major policy goals of the European Commission.","Values","WHO (Global Information System\non Alcohol and Health (GISAH))","• Calendar year\n• Country","http://apps.who.int/gho/data/node.main.A1022?lang=en?showonly=GISAH","http://apps.who.int/gho/indicatorregistry/App_Main/view_indicator.aspx?iid=465","http://ec.europa.eu/health/indicators/docs/echi_46.pdf"]
[301,"e2",3,17,"c","Total (recorded and unrecorded) per capita alcohol consumption among people aged 15 years and over within a calendar year (litres of pure alcohol), reporting recorded and unrecorded consumption separately, if possible",null,"WHO Health 2020","C",null,"WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The total (sum of recorded and unrecorded) APC is the amount of alcohol consumed per adult (aged 15 years and over) within a calendar year, in litres of pure alcohol. Recorded alcohol consumption refers to official statistics (production, import, export and sales or taxation data), while unrecorded alcohol consumption refers to alcohol that is not taxed and is outside the usual system of governmental control. In circumstances in which the number of tourists per year is at least the number of inhabitants, the tourist consumption is also taken into account and is deducted from the country’s recorded adult per capita consumption. Numerator: amount of recorded alcohol consumed per adult (15 years and over) during a calendar year, in litres of pure alcohol. Denominator: mid-year resident population (15 years and over) for the same calendar year, as estimated by the UN World population prospects,c medium variant.",null,"APC is part of a core set of indicators whose purpose is to monitor the magnitude, pattern and trends of alcohol consumption in the adult population. It is an agreed indicator in the comprehensive global monitoring framework for noncommunicable diseases.",null,"Source used by the comprehensive global monitoring framework for noncommunicable diseases (Global Health Observatory)","Alcoholic beverage type (beer, wine, spirits and other alcoholic beverages)"]
[301,"e2",null,17,"c","Alcohol consumption habits among adolescents",null,"Portugal HSPA (2010)","E",null,"World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,"Addressing main risk factors and promoting healthier lifestyles"]
[302,"e2",null,17,"c","Hazardous alcohol consumption","(EHIS 2014, available in 2017)","Eurostat - Quality of Life","A",null,"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Health - Determinants: healthy and unhealthy behaviours",null,"nA"]
[302,"e2",null,17,"c","Heavy Drinking",null,"CIHI In Depth (2014)","D",null,"CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Heavy drinking is defined as men who reported consuming 5 or more drinks or women who reported consuming 4 or more drinks on 1 occasion at least once a month in the past year. It is calculated for the population age 12 and older.","Heavy drinking is defined as consuming 5 or more drinks for men or 4 or more drinks for women on 1 occasion, 12 or more times over the past year. This indicator measures the percentage of the population age 12 and older who reported drinking 5 or more drinks for men or 4 or more drinks for women on at least 1 occasion per month in the past year.","Heavy drinking has been associated with harmful health and social consequences. This indicator looks at how many people age 12 and older reported heavy drinking in the last year.\nLower is better. It means that a lower percentage of Canadians reported excessive alcohol consumption.",null,"·      Canadian Community Health Survey, Statistics Canada",null,null,"http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=5111994"]
[302,"e2",null,17,"c","Consumption of pure alcohol per person",null,"Estonia HSPA (2010)","E",null,"WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Health behaviour and health promotion"]
[303,"e0","nA",17,"c","Narcotic abuse",null,"ESIF for Health 2015","A",null,"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Proportion of people aged 15-64 reporting to have ever used narcotics",null,"Preventive health determinants"]
[303,"e0","nA",17,"c","Addictive behavior: Drug dependence/illicit use",null,"IOM 2015","D",null,"IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[304,"e0","nA",17,"c","Consumption of vegetables",null,"ESIF for Health 2015","A",null,"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Proportion of people aged 15+ reporting to eat vegetables (excluding potatoes and juice) at least once a day",null,"Preventive health determinants"]
[304,"e0",null,17,"c","Daily fruit eating among adults","% of population aged 15 years and over","Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Estimates of daily fruit and vegetable consumption are derived from national and European Health Inter- view Survey questions. Typically, respondents were asked “How often do you eat fruit (excluding juice)?” and “How often do you eat vegetables or salad (excluding juice and potatoes)?”."]
[304,"e0","nA",17,"e/ms","Community engagement: Availibility of healthy food",null,"IOM 2015","D",null,"IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[304,"e0",52,17,"c","Fruit and vegetable consumption (EHIS)",null,"Malta - Grech et al. (2015)","E",null,"Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,"Proportion of people reporting to eat fruits (excluding juice) at least once a day. \nProportion of people reporting to eat vegetables (excluding potatoes and juice) at least once a day. ","Percentage of people reporting to eat fruits (excluding juice) at least once a day, derived from EHIS question FV.1. How often do you eat fruits (excluding juice)? 1. Twice or more a day / 2. Once a day / 3. Less than once a day but at least 4 times a week / 4. Less than 4 times a week, but at least once a week / 5. Less than once a week / 6. Never (answering categories 1 and 2 should be added for the calculation of this indicator).\nPercentage of people reporting to eat vegetables (excluding potatoes and juice) at least once a day, derived from EHIS question FV.2. How often do you eat vegetables or salad (excluding juice and potatoes)? 1. Twice or more a day / 2. Once a day / 3. Less than once a day but at least 4 times a week / 4. Less than 4 times a week, but at least once a week / 5. Less than once a week / 6. Never (answering categories 1 and 2 should be added for the calculation of this indicator)."]
[305,"i",null,17,"c","Body Mass Index: by sex, age and educational level ",null,"Eurostat - Quality of Life","A",null,"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Health - Determinants: healthy and unhealthy behaviours",null,"http://ec.europa.eu/eurostat/product?mode=view&code=hlth_ehis_de1"]
[305,"i","L-2",17,"c","Obesity","Proportion of persons who are obese, i.e. whose body mass index (BMI) is ≥ 30 kg/m² by age-group (15+, 15-24, 18+, 18-64, 65+), by sex and by educational level (ISCED class 0-2, 3-4, 5-6), by income quintile gap q1/q5","JAF Health (DG EMPL)","A",null,"EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Proportion of people who are obese, i.e. whose body mass index (BMI) is >= 30kg/m2.",null,null,null,"Eurostat (EHIS)","(total population 15+, 15- 24, men, women, income quintile gap q1/q5)"]
[305,"i",null,17,"c","Obesity in adults (age 15+)","% of population aged 15 years and over","Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Overweight and obesity are defined as excessive weight presenting health risks because of the high proportion of body fat. The most frequently used measure is based on the body mass index (BMI), which is a single number that evaluates an individual’s weight\nin relation to height (weight/height2, with weight in\nkilograms and height in metres). Based on the WHO classification (WHO, 2000), adults with a BMI from 25 to 30 are defined as overweight, and those with a BMI of 30  or over as obese. This classification may not be suitable for all ethnic groups, who may have equiva- lent levels of risk at lower or higher BMI. The thresholds for adults are not suitable to measure overweight and obesity among children\n\nData on obesity in adults are based on measured height and weight for all the countries marked with an *. These result in more accurate data and higher obesity rates compared with all other countries that are providing selfreported height and weight."]
[305,"i",null,17,"c","Increasing obesity among adults","% of population aged 15 years and over","Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[305,"i",null,17,"c","Proportion of persons obese and overweight",null,"AIHW. (2014)","D",null,"AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Proportion of people who are overweight or obese. Body mass index (BMI) is a measure that classifies a person as overweight, obese, normal weight or underweight, based on their weight and height. Overweight is defined as a BMI of 25 or over but less than 30, and obesity is defined as a BMI of 30 or more."]
[305,"i","HP-1",17,"c","Obesity in adults (BMI ≥ 30) (% pop aged 18+) (by education levels)",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1]
[305,"i",33,17,"c","Percentage overweight and obesity from Self-reported BMI by age group (over 15yr olds)",null,"Malta - Grech et al. (2015)","E",null,"Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,"Proportion of adult persons (18+) who are obese, i.e. whose body mass index (BMI) is ≥ 30 kg/m².","Body mass index (BMI), or Quetelet index, is defined as the individual’s body weight (in kilograms) divided by the square of their height (in metres). Weight and height derived from European Health Interview Survey (EHIS) questions BMI01: How tall are you? (cm), and BMI02: How much do you weight without clothes and shoes? (kg)"]
[305,"i",3,17,"c","Obesity by sex, age group, education",null,"Sweden - Socialstyrelsen. (2015)","E",null,"Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,"Individuals estimated to have a BMI (Body Mass Index) of 30 or higher based on self-reported data, 16–84 years old."]
[306,"e2","nA",17,"c","Levels of physical activity",null,"EXPH 2014","A",null,"EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Eurostat"]
[306,"e2","nA",17,"c","Overweight and obesity: Activity levels",null,"IOM 2015","D",null,"IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[307,"e0",31,17,"s","Sedentary leisure time","Individuals who stated that they have a sedentary leisure time when asked “How much have you moved about and exerted yourself physically in your leisure time during the past 12 months?”, 16–84 years old.","Sweden - Socialstyrelsen. (2015)","E",{"$f":"COUNTIF(L2152:BB2152,\">0\")","v":1},"Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,"Individuals who stated that they have a sedentary leisure time when asked “How much have you moved about and exerted yourself physically in your leisure time during the past 12 months?”, 16–84 years old.",null,"Lifestyle and living habits: physical activity"]
[308,"e1",33,17,"s","Participation in acitivites arranged by sports clubs","Individuals in the age group 13–20 who participate during a year in sports associations that qualify for municipal local activity support, divided by the number of inhabitants aged 13–20.","Sweden - Socialstyrelsen. (2015)","E",{"$f":"COUNTIF(L2153:BB2153,\">0\")","v":1},"Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,"Individuals in the age group 13–20 who participate during a year in sports associations that qualify for municipal local activity support, divided by the number of inhabitants aged 13–20.",null,"Lifestyle and living habits: physical activity"]
[309,"e1","1.5., 5.8.",17,"c","Breastfeeding rates",null,"MoH New Zealand 2016","D",null,"Ministry of Health of New Zealand. (2016). System Level Measures 2016/17.   Retrieved from http://www.health.govt.nz/new-zealand-health-system/system-level-measures-framework/system-level-measures-2016-17",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"nA",null,"‘Keeping children out of the hospital’. ‘Healthy start’"]
[310,"e2",85,18,"s","Policies on ETS exposure (Environmental Tobacco Smoke)","Under development: \nComposite measure reflecting level of implementation by (health) authorities of regulations on smoking restrictions in specified (public) domains.","ECHI","A",{"$f":"COUNTIF(L2162:BB2162,\">0\")","v":2},"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"The indicator is a composite index summarizing regulations implemented by health (and other) authorities on smoking restrictions in specified (public) domains.","The index is based on data in the WHO tobacco control database. It is computed as the sum of scores of the following seven components:\n1) smoking restrictions in health care facilities\n2) smoking restrictions in education facilities\n3) smoking restrictions in government facilities\n4) smoking restrictions in bars/restaurants\n5) smoking restrictions in indoor workplaces and offices\n6) smoking restrictions in theatres and cinemas\n7) smoking restrictions in public transport (7 items, including bus, taxi, train, domestic air, international air, domestic water, international water)\nFor each component the data allow three levels of scoring: 0- no restriction or prohibition\n1- partial restriction, or voluntary agreement 2- complete ban or prohibition\nComponents 1-3 and 5-6 are given as such in the database.\nFor components 4 and 7, a combination is made, respectively, from separate scores for bars and restaurants, and from the seven types of public transport recorded separately.\nFor component 4: 00 and 01 count as 0; 11, 20 and 21 count as 1; 22 count as 2.\nFor component 7: each subcategory is scored 0-2; compute the sum and subtract the subcategory which is not relevant for the country (e.g. int. water for inland countries); divide the sum by the number of remaining subcategories; round to the nearest integer.\nIn this manner the total score ranges between 0 and 14.","Indicator provides a good index with respect to actual measures aimed at creating smoke free areas. Such policies contribute to lowering ETS exposures and thus lowering health risks.",null,"WHO -Euro tobacco\ncontrol database","• Calendar year\n• Country","nA","nA","nA"]
[313,"e1",87,18,"s","Policies and practices on healthy lifestyles","Under development: A composite index of regulations and good practices on promoting healthier nutrition.]","ECHI","A",{"$f":"COUNTIF(L2167:BB2167,\">0\")","v":2},"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"A composite index of regulations and good practices on promoting healthier nutrition.","Topic needs much further development. The keys issues are:\n1) At the moment there is no satisfactory proposal for indicator definition, calculation and data sources.\n2) The indicators recommended by various (EU co-funded) projects usually include only either alcohol or tobacco related policies. Is that enough? Other possible areas to be added include policies to reduce exposure to sunlight, injuries, suicide. Health promotion activities at the workplace, schools etc. are under indicator 88.\n3) Distinction should be made between comprehensive programmes and single programmes on e.g. smoking, physical activity, nutrition, stress management etc. Comprehensive programmes are considered to be more effective.\n4) The index should contain policy items aimed both at individual behaviour and collective actions, such as building promoting physical activity, taxes and trade regulations, etc.\n5) For pragmatical reasons, we may focus on smoking, alcohol and physical activity in this indicator, since here might be some data. Consult the alcohol programme and other current programmes for this.\n","This is an important area of activities in health promotion. Indicators for monitoring these areas should be developed.",null,"n.a.","nA","nA","nA","nA"]
[313,"e1","nA",18,"c","Policies and practices on health lifestyles",null,"ESIF for Health 2015","A",null,"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"currently being developed as a part of the ECHI initiative",null,"Promotion programmes"]
[314,"e0","nA",18,"c","Community engagement: Community health benefit agenda","To be defined (Significant research and development are needed to articulate this core measure focus more fully, both conceptually and in terms of data and measures. A preferred measure for this focus might take the form of a composite, reflecting community engagement more broadly and integrating elements related to community level of effort in improving health—the existence of community-wide agendas, the use of community benefit funds, opportunities for public input, and growth in resources developed. A composite measure of community engagement might include the following elements: communities with active health agen- das, including cooperative multi-institutional plans for meeting community benefit obligations, and communities that advocate for local health improvement.)","IOM 2015","D",null,"IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"To be defined (Significant research and development are needed to articulate this core measure focus more fully, both conceptually and in terms of data and measures. A preferred measure for this focus might take the form of a composite, reflecting community engagement more broadly and integrating elements related to community level of effort in improving health—the existence of community-wide agendas, the use of community benefit funds, opportunities for public input, and growth in resources developed. A composite measure of community engagement might include the following elements: communities with active health agen- das, including cooperative multi-institutional plans for meeting community benefit obligations, and communities that advocate for local health improvement.)"]
[315,"e0",null,18,"c","Share of total population living in a dwelling with a leaking roof, damp walls, floors or foundation, or rot in window frames of floor",null,"Eurostat - Quality of Life","A",null,"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Material living conditions: Housing conditions",null,null,null,"http://ec.europa.eu/eurostat/product?mode=view&code=ilc_mdho01"]
[315,"e0",null,18,"c","Housing cost over burden rate",null,"SPC - SPPM (DG EMPL)","A",null,"EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Percentage of the population living in a household where total housing costs (net of housing allowances) represent more than 40% of the total disposable household income (net of housing allowances).",null,"Access to decent housing",null,"Eurostat (EU-SILC)"]
[316,"e0",null,18,"c","Percentage of the population rating their satisfaction with recreational and green areas as high, medium or low",null,"Eurostat - Quality of Life","A",null,"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Natural and living environment: Access to green and recreational spaces",null,null,null,"http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-485908_QID_C509D19_UID_-3F171EB0&layout=INDIC_WB,L,X,0;LEV_SATIS,L,X,1;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-485908UNIT,PC;DS-485908INDICATORS,OBS_FLAG;DS-485908ISCED97,TOTAL;DS-485908SEX,T;DS-485908AGE,Y_GE16;DS-485908TIME,2013;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=LEV-SATIS_1_2_1_0&rankName9=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=true&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23"]
[317,"e0",null,18,"s","Access to footpaths and cycle paths","Citizens' assessment of the availability of footpaths and cycle paths in the municipality, on a scale of 1–10.","Consolidated","D, E",{"$f":"COUNTIF(L2187:BB2187,\">0\")","v":2},"Consolidated",{"$f":"COUNTIF(L2188:L2189,1)","v":0},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0]
[318,"e0",null,18,"c","Percentage of the population rating their satisfaction with living environment as high, medium or low",null,"Eurostat - Quality of Life","A",null,"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Natural and living environment: Landscape and built environment",null,null,null,"http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-485908_QID_25FBECD2_UID_-3F171EB0&layout=INDIC_WB,L,X,0;LEV_SATIS,L,X,1;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-485908UNIT,PC;DS-485908INDICATORS,OBS_FLAG;DS-485908ISCED97,TOTAL;DS-485908SEX,T;DS-485908AGE,Y_GE16;DS-485908TIME,2013;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=LEV-SATIS_1_2_1_0&rankName9=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=true&lang=EN&cfo=%23%23%23,%23%23%23.%23%23%23"]
[321,"e1",55,18,"c","PM10 (particulate matter) exposure","Annual urban population average exposure to outdoor air pollution by particulate matter (PM10).\nFine and coarse particulates (PM10), i.e. particulates whose diameters are less than 10 micrometers, can be carried deep into the lungs where they can cause inflammation and a worsening of the condition of people with heart and lung diseases.","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Annual urban population average exposure to outdoor air pollution by particulate matter (PM10).","The population-weighted annual mean concentrations of Particulate Matter 10 measured at urban and sub- urban background stations in agglomerations. Annual mean concentration of PM10 is the averaged over all measurements conducted in the year in question. PM10 refers to particulates whose diameter is less than  10 micrometers. Measurement unit is micrograms per cubic meter.","Urban air pollution is responsible for substantial burden of disease and death. Very young children, probably including unborn babies, are particularly sensitive to air pollutants. Fine particulates (PM10) can be carried deep into the lungs where they can cause inflammation and a worsening of the condition of people with heart and lung diseases. The data in the indicator relate to the target and limit values as set in EC legislation.","in micrograms per cubic metre","Eurostat","• Calendar year\n• Country","http://ec.europa.eu/eurostat/tgm/table.do?tab=table&init=1&language=en&pcode=tsdph370&plugin=1","http://ec.europa.eu/eurostat/cache/metadata/EN/tsdph370_esmsip.htm","http://ec.europa.eu/health/indicators/docs/echi_55.pdf"]
[321,"e1",null,18,"c","Urban population exposure to air pollution by particulate matter",null,"Eurostat - Quality of Life","A",null,"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Natural and living environment: Pollution (including noise)",null,null,null,"http://epp.eurostat.ec.europa.eu/tgm/table.do?tab=table&init=1&plugin=1&language=en&pcode=tsdph370"]
[322,"e0",null,18,"s","Urban population exposure to air pollution, by ozone","Annual urban population average exposure to outdoor air pollution by particulate matter (PM10).\nFine and coarse particulates (PM10), i.e. particulates whose diameters are less than 10 micrometers, can be carried deep into the lungs where they can cause inflammation and a worsening of the condition of people with heart and lung diseases.","Consolidated","A",{"$f":"COUNTIF(L2202:BB2202,\">0\")","v":2},"Consolidated",{"$f":"COUNTIF(L2203:L2204,1)","v":0},0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[324,"e0",null,18,"c","Noise from neighbours or from the street",null,"Eurostat - Quality of Life","A",null,"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Natural and living environment: Pollution (including noise)",null,null,null,"http://ec.europa.eu/eurostat/product?mode=view&code=ilc_mddw01"]
[326,"e2","nA",18,"c","Healthy communities: Drinking water quality index","nA","IOM 2015","D",null,"IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[327,"e0",null,18,"c","Homicide rate","age-standardised homicide rate / 100 000 people","Eurostat - Quality of Life","A",null,"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"age-standardised homicide rate / 100 000 people","Physical safety refers to being protected from any situation that puts a person’s physical security at risk, such as crime, accidents or natural disasters. A perceived lack of physical safety may affect subjective well-being more than the actual effects of a physical threat. Homicide causes only a small percentage of all deaths, but its effect on people’s emotional lives is very different to the effect of deaths related to medical conditions. Consequently, the effects of those crimes that affect a person’s physical safety are socially magnified and affect the quality of life not only of those close to the victim, but also of many others who then feel insecure or afraid. ","Economic and physical safety: Physical and personal security - Crime",null,null,null,"http://ec.europa.eu/eurostat/product?mode=view&code=crim_off_cat"]
[327,"e0",null,18,"c","Population feeling safe when walking alone in their area after dark","the perception of physical safety (population feeling safe when walking alone in their area after dark - under development in SILC 2013)","Eurostat - Quality of Life","A",null,"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Physical safety refers to being protected from any situation that puts a person’s physical security at risk, such as crime, accidents or natural disasters. A perceived lack of physical safety may affect subjective well-being more than the actual effects of a physical threat. Homicide causes only a small percentage of all deaths, but its effect on people’s emotional lives is very different to the effect of deaths related to medical conditions. Consequently, the effects of those crimes that affect a person’s physical safety are socially magnified and affect the quality of life not only of those close to the victim, but also of many others who then feel insecure or afraid.","Economic and physical safety: Physical and personal security - Perception of physical safety",null,null,null,"http://ec.europa.eu/eurostat/documents/118025/118129/Population+feeling+safe+when+walking+alone+in+their+area+after+dark/2146f299-38d9-40f1-82f1-2621f3177801"]
[329,"e2",6,18,"c","Population by education","Proportion of population aged 25-64 by completed educational level (ISCED class 0-2, 3-4, 5-6) , by sex","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Proportion (%) of population divided up into three classes of educational attainment (low, middle and high education). Attainment profiles are based on highest completed specified level of education.","Percentage of total population in the 7 classes of ISCED (International Standard Classification of Education\n1997), aggregated into three attainment groups comprising of: elementary and lower secondary education\n(ISCED level 0 ,1 and 2), upper/post secondary (ISCED levels 3 and 4) and tertiary (ISCED levels 5 and 6)\n(see remarks).","Together with occupation and income, education belongs to the classic three core indicators of socioeconomic\nstatus. The different indicators emphasise the different dimensions of SES. Apart from being an\nimportant indicator for describing the general social condition of the population by itself, stratification\nschemes based on the indicator provide an important tool for monitoring socio-economic inequalities in\nhealth.",null,"Eurostat (LFS)","• Calendar year\n• Country\n• Region (according to ISARE recommendations; see data availability)\n• Sex\n• Age group (25-64)"]
[329,"e2",null,18,"c","Education attainment: Upper secondary",null,"Eurostat - Quality of Life","A",null,"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Education - Competences and skills: Educational attainment",null,null,null,"http://ec.europa.eu/eurostat/product?mode=view&code=edat_lfse_03"]
[329,"e2",null,18,"c","Education: percentage of the population aged 25 years or older that has attained at least a higher secondary education degree",null,"EC-MACELI 2014","A",null,"European Commission (2014). Comparative efficiency of health systems, corrected for selected lifestyle factors. Retrieved from http://ec.europa.eu/health/systems_performance_assessment/docs/2015_maceli_report_en.pdf",0,0,0,0,0,0,0,0,0,0,0,0,1]
[329,"e2","nA",18,"c","Healthy communities: High school graduation rate",null,"IOM 2015","D",null,"IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"It is a useful, accessible proxy for assessing socioeconomic status and community quality in the short term. ",null,"CDC"]
[330,"i",null,18,"s","Opportunities for education: Participation in early childhood education","Enrolment rate in ISCED 0-1 for 4 years old pupils","Consolidated","A, E",{"$f":"COUNTIF(L2237:BB2237,\">0\")","v":3},"Consolidated",{"$f":"COUNTIF(L2238:L2240,1)","v":0},0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0]
[330,"i",15,18,"c","Percentage of children enrolled at preschool aged 1–5 years old",null,"Sweden - Socialstyrelsen. (2015)","E",null,"Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[331,"e0",null,18,"s","Low wage earners as a proportion of all employees (excluding apprentices)","Disaggregated by age, sex, and educational attainment. ","Eurostat - Quality of Life","A",{"$f":"COUNTIF(L2242:BB2242,\">0\")","v":1},"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,null,"Productive or main activity: Quality of employment - Income and benefits from employment",null,null,null,"http://ec.europa.eu/eurostat/product?mode=view&code=earn_ses_pub1a"]
[333,"e0","nA",18,"s","Number of sick leave cases per 100 000 workers","Number of sick leave cases per 100 000 workers","ESIF for Health 2015","A",{"$f":"COUNTIF(L2247:BB2247,\">0\")","v":1},"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"Number of sick leave cases per 100 000 workers Average length of 1 episode sick leave in days",null,"Occupational health"]
[335,"e0",null,18,"c","Population in employment working more than the ILO threshold of 48 hours a week (under development)",null,"Eurostat - Quality of Life","A",null,"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Productive or main activity: Quality of employment - Work/life balance",null,"http://ec.europa.eu/eurostat/statistics-explained/index.php/Quality_of_life_indicators_-_productive_or_main_activity",null,"nA"]
[335,"e0",null,18,"c","Average satisfaction with commuting time",null,"Eurostat - Quality of Life","A",null,"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Productive or main activity: Quality of employment - Work/life balance",null,"http://ec.europa.eu/eurostat/statistics-explained/index.php/Quality_of_life_indicators_-_productive_or_main_activity",null,"http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-485891_QID_-37310D9D_UID_-3F171EB0&layout=INDIC_WB,L,X,0;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-485891ISCED97,TOTAL;DS-485891SEX,T;DS-485891INDICATORS,OBS_FLAG;DS-485891AGE,Y_GE16;DS-485891TIME,2013;DS-485891UNIT,RTG;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=true&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23"]
[336,"e1",null,18,"c","Temporary contracts",null,"Eurostat - Quality of Life","A",null,"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Productive or main activity: Quality of employment - Temporary work",null,null,null,"http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=lfst_hhtemchi&lang=en"]
[337,"e0",null,18,"s","Assessment of quality of employment","Measures on average job satisfaction and assessment of quality of employment is under development and will cover: satisfaction with current work (under development in SILC 2013, currently from the European quality of life survey – EQLS), how possible it is to influence the content and order of tasks (under development in LFS 2015), and assessment of the relationships with colleagues and supervisors. ","Consolidated","A",{"$f":"COUNTIF(L2262:BB2262,\">0\")","v":1},"Consolidated",{"$f":"COUNTIF(L2263:L2267,1)","v":0},0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,null,null,null,"http://ec.europa.eu/eurostat/statistics-explained/index.php/Quality_of_life_indicators_-_productive_or_main_activity"]
[337,"e0",null,18,"c","Good relationship with direct supervisor (to be developed)","Assessment of quality of employment is under development and will cover: satisfaction with current work (under development in SILC 2013, currently from the European quality of life survey – EQLS), how possible it is to influence the content and order of tasks (under development in LFS 2015), and assessment of the relationships with colleagues and supervisors. ","Eurostat - Quality of Life","A",null,"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Productive or main activity: Quality of employment - Assessment of quality of employment",null,"http://ec.europa.eu/eurostat/statistics-explained/index.php/Quality_of_life_indicators_-_productive_or_main_activity",null,"nA"]
[340,"e0",null,18,"s","Social interactions: activities with people","Activities with people (including feeling lonely) are measured in terms of the frequency of contacting, meeting socially/getting together with friends, relatives or colleagues (SILC 2006 Ad Hoc Module) and satisfaction with personal relationships (collected in SILC 2013, will be available in 2015). ","Consolidated","A",{"$f":"COUNTIF(L2271:BB2271,\">0\")","v":1},"Consolidated",{"$f":"COUNTIF(L2272:L2275,1)","v":0},0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[340,"e0",null,18,"c","Social interactions: Frequency of getting together with friends",null,"Eurostat - Quality of Life","A",null,"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Social interactions - Activities with people",null,null,null,"http://ec.europa.eu/eurostat/documents/118025/118132/Module2006_PS060.xls/234fb0f3-e597-48d8-ba5d-4740b3758588"]
[341,"e0",null,18,"c","Social interactions: Participation in informal voluntary activities (PS100)",null,"Eurostat - Quality of Life","A",null,"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Social interactions - Activities for people",null,null,null,"http://ec.europa.eu/eurostat/documents/118025/118132/Module2006_PS100.xls/ec2618a1-f972-4fb8-924f-31ca91f9d10a"]
[342,"e0",54,18,"c","Social support","Proportion of individuals by age group (15+, 15-64, 65+) and by educational level (ISCED class 0-2, 3-4, 5-6) reporting that they have none or 1 person that they can count on if they have serious personal problems.","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Proportion of individuals reporting that they have none or 1 person that they can count on if they have serious personal problems.","Number of persons on whom the respondent can rely on when help is needed, as measured by EHIS question EN.4: How many people are so close to you that you can count on them if you have serious personal problem? (None / 1 or 2 / 3 to 5 / More than 5).","Social support is a protective factor in times of stress. A low level of social support is associated with ill-health (both e.g. depression and somatic diseases). It is important for public health policy to collect information on\nsocial support to enable both risk assessment and the planning of preventive interventions.",null,"Eurostat (EHIS)","• Country\n• Calendar year\n• Sex\n• Age group (15-64, 65+)\n• Socio-economic status (educational level. ISCED 3 aggregated groups: 0-2; 3+4; 5+6)","nA","nA","nA"]
[343,"i",null,18,"s","Overall experience of life: Life satisfaction","Disaggregated by sex, age, income quintile. \nSubjective well-being encompasses three distinct but complementary sub-dimensions: life satisfaction, based on an overall cognitive assessment; affects, or the presence of positive feelings and absence of negative feelings; and eudaimonics, the feeling that one’s life has a meaning.\nLife satisfaction represents how a person evaluates or appraises his or her life taken as a whole. It is intended to cover a broad, reflective appraisal the person makes of his or her life. The term «life» is intended here as all areas of a person’s existence. The variable therefore refers to the respondent’s opinion/feeling about the degree of satisfaction with his/her life. It focuses on how people are feeling \"these days\" rather than specifying a longer or shorter time period. The intent is not to obtain the current emotional state of the respondent but to receive a reflective judgement on their level of satisfaction.\nSatisfaction with particular life domains (financial situation, housing, job, commuting time, living environment, green and recreational areas, time use and personal relationships) also represent a broad subjective assessment of the respetive area taking into account individual situations and preferences.\n\"Meaning of life\" represents the eudaimonic aspect of well-being, whether or not the inviduals deem their life as being worthwhile. It is not related to any specific area of life, focuses rather on life in general.\nThe frequency of positive emotions (happiness) in the last four weeks represents the affects dimension of well-being.\nTrust in others and in institutions (legal system, political system and the police) is of a general nature and it should not apply to a specific group of people or institution. The legal and political system encompass all institutions in the respective categories, whether local, national or transnational.\nThe availability of social support refers to the one's possibility to ask for help (any kind of help: moral, material or financial) from any relatives, friends or neighbours, whether thethe person needs it or not. Only relatives and friends (or neighbours) who don't live in the same household are considered.\n","Consolidated","A, C",{"$f":"COUNTIF(L2286:BB2286,\">0\")","v":2},"Consolidated",{"$f":"COUNTIF(L2287:L2291,1)","v":0},0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,null,null,null,null,null,"http://ec.europa.eu/eurostat/cache/metadata/en/ilc_pwb_esms.htm"]
[343,"i",null,18,"c","Average rating of life satisfaction by sex, age and educational attainment level ",null,"Eurostat - Quality of Life","A",null,"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Subjective well-being encompasses three distinct but complementary sub-dimensions: life satisfaction, based on an overall cognitive assessment; affects, or the presence of positive feelings and absence of negative feelings; and eudaimonics, the feeling that one’s life has a meaning.\nLife satisfaction represents how a person evaluates or appraises his or her life taken as a whole. It is intended to cover a broad, reflective appraisal the person makes of his or her life. The term «life» is intended here as all areas of a person’s existence. The variable therefore refers to the respondent’s opinion/feeling about the degree of satisfaction with his/her life. It focuses on how people are feeling \"these days\" rather than specifying a longer or shorter time period. The intent is not to obtain the current emotional state of the respondent but to receive a reflective judgement on their level of satisfaction.\nSatisfaction with particular life domains (financial situation, housing, job, commuting time, living environment, green and recreational areas, time use and personal relationships) also represent a broad subjective assessment of the respetive area taking into account individual situations and preferences.\n\"Meaning of life\" represents the eudaimonic aspect of well-being, whether or not the inviduals deem their life as being worthwhile. It is not related to any specific area of life, focuses rather on life in general.\nThe frequency of positive emotions (happiness) in the last four weeks represents the affects dimension of well-being.\nTrust in others and in institutions (legal system, political system and the police) is of a general nature and it should not apply to a specific group of people or institution. The legal and political system encompass all institutions in the respective categories, whether local, national or transnational.\nThe availability of social support refers to the one's possibility to ask for help (any kind of help: moral, material or financial) from any relatives, friends or neighbours, whether thethe person needs it or not. Only relatives and friends (or neighbours) who don't live in the same household are considered.",null,"Overall experience of life: Life satisfaction [Personal well-being indicators]",null,null,null,"http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-485891_QID_1005C868_UID_-3F171EB0&layout=INDIC_WB,L,X,0;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-485891ISCED97,TOTAL;DS-485891SEX,T;DS-485891INDICATORS,OBS_FLAG;DS-485891AGE,Y_GE16;DS-485891TIME,2013;DS-485891UNIT,RTG;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=false&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23"]
[344,"e2",null,18,"s","Overall experience of life: Affects, meaning and purpose of life","Disaggregated by sex, age, income quintile. \nAfects, or the presence of positive feelings and absence of negative feelings; and eudaimonics, the feeling that one’s life has a meaning, as recommended by the OECD Guidelines on Measuring Subjective Well-being\n","Consolidated","A",{"$f":"COUNTIF(L2292:BB2292,\">0\")","v":1},"Consolidated",{"$f":"COUNTIF(L2293:L2297,1)","v":0},0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[344,"e2",null,18,"c","Assesing whether life is worthwhile: Average rating by sex, age and educational attainment level",null,"Eurostat - Quality of Life","A",null,"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Overall experience of life: Meaning and purpose -  Assesing whether life is worthwhile ",null,null,null,"http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-485891_QID_-7BCE008A_UID_-3F171EB0&layout=INDIC_WB,L,X,0;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-485891ISCED97,TOTAL;DS-485891SEX,T;DS-485891INDICATORS,OBS_FLAG;DS-485891AGE,Y_GE16;DS-485891TIME,2013;DS-485891UNIT,RTG;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=false&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23"]
[null,null,null,19,"x","Early leavers from education and training","Share of persons aged 18 to 24 who have only lower secondary education (their highest level of education or training attained is 0, 1 or 2 according to the 1997 International Standard Classification of Education – ISCED 97) and have not received education or training in the four weeks preceding the survey.","Consolidated","A",null,null,0]
[null,null,null,19,"x","Early school leavers (in %)",null,"SPC - SPPM (DG EMPL)","A",null,"EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Share of persons aged 18 to 24 who have only lower secondary education (their highest level of education or training attained is 0, 1 or 2 according to the 1997 International Standard Classification of Education – ISCED 97) and have not received education or training in the four weeks preceding the survey.",null,"Youth exclusion",null,"Eurostat (EU-SILC)"]
[null,null,null,19,"x","Population reporting not to know any foreign language",null,"Eurostat - Quality of Life","A",null,"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Education - Competences and skills: Self-reported skills",null,null,null,"http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-108731_QID_F44F32_UID_-3F171EB0&layout=N_LANG,L,X,0;GEO,L,Y,0;TIME,C,Z,0;SEX,L,Z,1;UNIT,L,Z,2;INDICATORS,C,Z,3;&zSelection=DS-108731UNIT,PC;DS-108731INDICATORS,OBS_FLAG;DS-108731SEX,T;DS-108731TIME,2011;&rankName1=TIME_1_1_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=INDICATORS_1_2_-1_2&rankName4=SEX_1_2_-1_2&rankName5=N-LANG_1_2_0_0&rankName6=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=false&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23"]
[null,null,14,19,"x","Gap in achievement in mathematics by socio-economic status, PISA",null,"European Pillar of Social Rights","A",null,"European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"OECD (PISA 2012)"]
[null,null,null,19,"x","Primary school readiness rate","\"While there is no single definition of school readiness, experts agree that readiness is a multifaceted concept that goes beyond academic and cognitive skills to include physical, social, and emotional development, as well as approaches to learning.\" RAND, http://www.rand.org/pubs/research_briefs/RB9144/index1.html. \n\nCIHI measures \"children vulnerable in areas of early development\" with the following instrument: \nThe percentage of children who are considered vulnerable on at least 1 area of development at school entry, as measured by the Early Development Instrument (EDI). The EDI is a kindergarten teacher–completed checklist that consists of 104 questions and measures 5 areas of early child development:\n1) Physical health and well-being\n2) Social knowledge and competence\n3) Emotional health/maturity\n4) Language and cognitive development\n5) General knowledge and communication skills ","Consolidated","D",null,null,0]
[null,null,null,19,"x","Children Vulnerable in Areas of Early Development","The percentage of children who are considered vulnerable on at least 1 area of development at school entry, as measured by the Early Development Instrument (EDI). The EDI is a kindergarten teacher–completed checklist that consists of 104 questions and measures 5 areas of early child development:\n1) Physical health and well-being\n2) Social knowledge and competence\n3) Emotional health/maturity\n4) Language and cognitive development\n5) General knowledge and communication skills ","CIHI In Depth (2014)","D",null,"CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The percentage of children who are considered vulnerable on at least 1 area of development at school entry, as measured by the Early Development Instrument (EDI). The EDI is a kindergarten teacher–completed checklist that consists of 104 questions and measures 5 areas of early child development:\n1) Physical health and well-being\n2) Social knowledge and competence\n3) Emotional health/maturity\n4) Language and cognitive development\n5) General knowledge and communication skills ","This indicator is calculated by dividing the number of children who are vulnerable on at least 1 area of development by the total number of children for whom the EDI was completed (indicator reported based on school year, September to June). A child is considered vulnerable when his or her EDI score on an area of development is equal to or lower than the score corresponding to the 10th percentile of all kindergarten children for that area of development. Children who are vulnerable in areas of early development are more likely to face greater challenges learning in school than those who are not vulnerable. The pan-Canadian results may vary slightly from those published by provinces and territories because the population of reference is different. As of August 2013, coverage is not available in Alberta, Nova Scotia, Newfoundland and Labrador and Nunavut.","This indicator is an important determinant of health and well-being in later life. It measures how many children are vulnerable on at least 1 area of development at school entry (age 5). It is based on the Early Development Instrument (EDI) a kindergarten teacher-completed checklist that measures 5 areas of child development, including physical health, emotional well-being, language and social skills.\nA lower percentage of children considered vulnerable at school entry is a positive indicator of healthy development at age 5.",null,"·      Offord Centre for Child Studies, McMaster University",null,null,"http://indicatorlibrary.cihi.ca/pages/viewpage.action?pageId=1114239"]
[null,null,null,19,"x","Population in arrears",null,"Eurostat - Quality of Life","A",null,"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Economic and physical safety: Economic security and vulnerability - Debt",null,null,null,"http://ec.europa.eu/eurostat/product?mode=view&code=ilc_mdes05"]
[null,null,null,19,"x","Long-term unemployment rate",null,"Eurostat - Quality of Life","A",null,"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Productive or main activity: Quantity of employment - Employment and unemployment",null,null,null,"http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=une_ltu_a&lang=en"]
[null,null,null,19,"x","Young people not in employment, education or training (NEET)",null,"EU Youth Health 2015 (DG EAC)","A",null,"European Commission (2011). Commission Staff Working Document on EU indicators in the field of youth. SEC(2011) 401 final.  Retrieved from http://ec.europa.eu/youth/library/publications/indicator-dashboard_en.pdf\nEuropean Commission (2015). Youth monitor - European Commission.   Retrieved from http://ec.europa.eu/youth/dashboard/index_en.htm",0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Young people (age group (15-24) not in employment, nor in any education or training.",null,"Social inclusion",null,"Eurostat (EU-SILC)"]
[null,null,19,19,"x","Young people who neither work nor study",null,"Sweden - Socialstyrelsen. (2015)","E",null,"Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,"Individuals (16–25 years old) who neither work nor study during a full calendar year.",null,"Education, work and self-sufficiency"]
[null,null,"2.5.i",19,"x","Employment of people with mental illness",null,"UK - NHS (2016)","E",null,"NHS, N. H. S.-. (2016). NHS Outcomes Framework 2016 to 2017. Retrieved from https://www.gov.uk/government/publications/nhs-outcomes-framework-2016-to-2017",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,"The percentage point difference between the rate of employment in the general working age population (aged 16-64) and the rate of employment amongst those working age adults self-reporting a mental illness. Both component employment rates are reported alongside the indicator."]
[null,null,null,19,"x","Overqualification rate (under development)","nA","Eurostat - Quality of Life","A",null,"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Productive or main activity: Quantity of employment - UnderEmployment, quality",null,null,null,"nA"]
[null,null,null,19,"x","Income quantile ratio (S80/S20)","Inequality of income (income quintile share ratio), total population, by sex, by age grop (0-64, 65+). \nThe ratio of total income received by the 20% of the country's population with the highest income (top quintile) to that received by the 20% of the country's population with the lowest income (lowest quintile). Income must be understood as equivalised disposable income.","Consolidated","A",null,null,0]
[null,null,null,19,"x","Income quantile ratio (S80/S20)","Inequality of income (income quintile share ratio), total population, by sex, by age grop (0-64, 65+)","SPC - SPPM (DG EMPL)","A",null,"EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The ratio of total income received by the 20% of the country's population with the highest income (top quintile) to that received by the 20% of the country's population with the lowest income (lowest quintile). Income must be understood as equivalised disposable income.",null,null,null,"Eurostat (EU-SILC)"]
[null,null,null,19,"x","Percentage of the population rating their satisfaction of their financial situation as high, medium or low ",null,"Eurostat - Quality of Life","A",null,"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Material living conditions: Income",null,null,null,"http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-485908_QID_-24BA9028_UID_-3F171EB0&layout=INDIC_WB,L,X,0;LEV_SATIS,L,X,1;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-485908UNIT,PC;DS-485908INDICATORS,OBS_FLAG;DS-485908ISCED97,TOTAL;DS-485908SEX,T;DS-485908AGE,Y_GE16;DS-485908TIME,2013;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=LEV-SATIS_1_2_1_0&rankName9=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=true&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23"]
[null,null,null,19,"x999","ADDITIONAL INFORMATION on DEMOGRAPHIC and ECONOMIC CONTEXT: Governance and basic rights",null,"Consolidated",999,null,null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"http://ec.europa.eu/eurostat/statistics-explained/index.php/Quality_of_life_indicators_-_governance_and_basic_rights#Data_sources_and_availability"]
[null,null,null,19,"x","Active citizenship ","The degree to which citizens exercise their fundamental right of free association to pursue their political interests (such as involvement in political parties and participation in trade unions) is an important indicator of active citizenship.\n(EU-SILC 2015, available in 2017)","Consolidated","A, E",null,null,0]
[null,null,null,19,"x","Active citizenship ","The degree to which citizens exercise their fundamental right of free association to pursue their political interests (such as involvement in political parties and participation in trade unions) is an important indicator of active citizenship.\n(EU-SILC 2015, available in 2017)","Eurostat - Quality of Life","A",null,"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"the degree to which citizens exercise their fundamental right of free association to pursue their political interests (such as involvement in political parties and participation in trade unions) is an important indicator of active citizenship",null,"Governance and basic rights: Active citizenship",null,null,null,"nA"]
[null,null,22,19,"x","Turnout at elections",null,"Sweden - Socialstyrelsen. (2015)","E",null,"Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,"Eligible voters who participated in municipal election of those citizens who are enrolled in the electoral register",null,"Participation in society"]
[null,null,null,19,"x999","ADDITIONAL INFORMATION on DEMOGRAPHIC and ECONOMIC CONTEXT: Leisure and Social interactions",null,"Consolidated",999,null,null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The dimension \"leisure and social interactions\" combines data on individual aspects of time-use with interpersonal activities and relationships. For the topic \"leisure\", covering quantity, quality and access, data are to be developed. Data on \"social interactions\", including activities with and for people, supportive relationships, and social cohesion, are currently being developed in SILC 2013, with data coming from SILC 2006 available in the meantime."]
[null,null,null,19,"x","Quantity of leisure ","Quantity of leisure concerns the availability of time and its use (including personal care), including the satisfaction of people with the amount of time they have to do things they like (a satisfaction with time indicator is being developed in SILC 2013 ad-hoc module). ","Consolidated","A",null,null,0]
[null,null,null,19,"x","Quantity of leisure: Average satisfaction with time use",null,"Eurostat - Quality of Life","A",null,"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Leisure - Quantity",null,null,null,"http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-485891_QID_2371BB03_UID_-3F171EB0&layout=INDIC_WB,L,X,0;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-485891ISCED97,TOTAL;DS-485891SEX,T;DS-485891INDICATORS,OBS_FLAG;DS-485891AGE,Y_GE16;DS-485891TIME,2013;DS-485891UNIT,RTG;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=true&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23"]
[null,null,null,19,"x","Quantity of leisure: Percentage of the population rating their satisfaction with time use as high, medium or low",null,"Eurostat - Quality of Life","A",null,"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Leisure - Quantity",null,null,null,"http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-485908_QID_-7FEFD6B7_UID_-3F171EB0&layout=INDIC_WB,L,X,0;LEV_SATIS,L,X,1;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-485908UNIT,PC;DS-485908INDICATORS,OBS_FLAG;DS-485908ISCED97,TOTAL;DS-485908SEX,T;DS-485908AGE,Y_GE16;DS-485908TIME,2013;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=LEV-SATIS_1_2_1_0&rankName9=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=true&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23"]
[null,null,null,19,"x","Quality and access to leisure","Quality of and access to leisure are measured for the moment with indicators on self-reported attendance at leisure activities that people are interested in, for example cinema, theatre or cultural centres. Other indicators on the topic are to be developed. ","Consolidated","A",null,null,0]
[null,null,null,19,"x","Quality of leisure",null,"Eurostat - Quality of Life","A",null,"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Leisure - Quality",null,null,null,"nA"]
[null,null,null,19,"x","Percentage of people going to the cinema in 2005 (PS010)",null,"Eurostat - Quality of Life","A",null,"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Leisure - Accesss",null,null,null,"http://ec.europa.eu/eurostat/documents/118025/118132/Module2006_PS010.xls/685b4be1-d927-4376-b315-ae4ee0459f75"]
[null,null,null,19,"x999","ADDITIONAL INFORMATION on DEMOGRAPHIC and ECONOMIC CONTEXT: others",null,"Consolidated",999,null,null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Material living conditions refer to an individual’s standard of living as expressed through three different sub-dimensions: income; consumption; and material conditions. The data used in this section are primarily derived from EU-SILC. EU-SILC is carried out annually and is the main survey that measures income and living conditions in Europe, and is the main source of information used to link different aspects of Quality of Life at the household and individual level.\n\nIncome refers to income levels (‘Mean and median income by age and sex’), monetary poverty (‘at-risk-of-poverty rate (AROP) by poverty threshold, age and sex’, and ‘at-risk-of-poverty rate anchored at a fixed moment in time (2008) by age and sex’), the distribution of income (‘S80/S20 income quintile share ratio by sex and selected age group’), and ‘satisfaction with financial situation of the household’ (under development in SILC 2013).\n\nMaterial conditions refers to material deprivation (‘severely materially deprived’ people and ‘inability to make ends meet’) and housing conditions (‘share of total population living in a dwelling with a leaking roof, damp walls, floors or foundation, or rot in window frames or floor, overcrowding and its positive counterpart, share of people living in under occupied dwellings) lack of bath or shower and toilet’) and ‘satisfaction with accommodation’ (under development in SILC 2013).\n\nIndicators on consumption are to be developed. These include: ratio of basic expenses to total household budget higher than 75 %, consumption of government services, and non-market services. "]
[345,"i",null,19,"s","Total population","Population on 1 January , total (absolute numbers) by sex, age group, by area (rural, urban), share of immigrant population","Consolidated","A, B, C, D",{"$f":"COUNTIF(L2375:BB2375,\">0\")","v":4},"Consolidated",{"$f":"COUNTIF(L2376:L2384,1)","v":2},0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,3,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[345,"i",1,19,"c","Population by sex / age - ","Population on 1 January , total (absolute numbers) by sex, age group","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"a) Total population by country, broken down by sex and age.\nb) Old-age-dependency ratio.","a) The number of usual resident inhabitants of a given area on 1 January of the year in question (absolute\nnumbers).\nb) The ratio between the total number of elderly persons of an age when they are generally economically\ninactive (aged 65 and over) and the number of persons of working age (from 15 to 64).","Basic demographic data are important by itself and are required for the calculation of many of the other\nindicators (denominator for rates and ratios). Age structure is also essential for public health planning and\nscenarios.","Absolute numbers","Eurostat","a) \n• Calendar year\n• Country\n• Region (according to ISARE recommendations)\n• Sex\n• Age group (0-14, 15-24, 25-49, 50-64, 65-79 and 80+).\nb)\n• Calendar year\n• Country","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=demo_pjangroup&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/demo_pop_esms.htm","http://ec.europa.eu/health/indicators/docs/echi_1.pdf"]
[345,"i",5,19,"e","Population projections","Estimate of population size using convergence scenario (2150), total (absolute numbers), by sex, age-group","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Population projections are what-if scenarios that aim to provide information about the likely future size and structure of the population based on assumptions for fertility, mortality and migration. Population projections expressed in absolute numbers.","The EUROPOP2010 “convergence scenario” is used. This is based on the population on 1st January\n2010, and the assumptions have been developed in a conceptual framework where the socio-economic and\ncultural differences between EU Member States would fade away in the long run. This assumption implies\na convergence of the most important demographic values. For example, in the (hypothetical) convergence\nyear 2150, fertility is assumed to converge to levels achieved by MSs that are considered to be forerunners\nin the demographic transition. Life expectancy increases are assumed to be greater for countries at lower\nlevels of life expectancy and smaller for those at higher levels. Migration is assumed to converge to zero net\nmigration in 2150. These assumptions can be summarised by means of indicators such as total fertility rate,\nlife expectancy at birth and net international migration for the target year 2060.","Basic demographic data by itself: population projections are predictive measures which implicate that if the\nhypothetical projection calculation premises are correct, what projected population size and age structure\nwould result in any future year. The current scenario is primarily used in the context of the European\nCommission’s analysis of the impact of ageing populations on public spending.","Absolute numbers","Eurostat","• Calendar year (from 2010 up to and including 2060)\n• Country\n• Region (according to ISARE recommendations)\n• Sex\n• Age group (0-24, 25-64, 65+)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=proj_13npms&lang=en","http://epp.eurostat.ec.europa.eu/cache/ITY_SDDS/EN/proj_13n_esms.htm","http://ec.europa.eu/health/indicators/docs/echi_5.pdf"]
[345,"i",10,19,"c","Breakdown of EU28 population",null,"European Pillar of Social Rights","A",null,"European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"foreignz citizens from another MS, foreign citizens from non-EU citizens, Nationals",null,null,null,"Eurostat, LFS"]
[345,"i",1,19,"c","Mid-year population (thousands)",null,"WHO Core Health 2015","C",null,"World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[345,"i",4,19,"c","Natural population growth per 1000",null,"WHO Core Health 2015","C",null,"World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[345,"i",5,19,"c","Urban population (%)",null,"WHO Core Health 2015","C",null,"World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[345,"i",null,19,"c","Total Population",null,"CIHI In Depth (2014)","D",null,"CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Regional Characteristics and Inputs",null,"·      Statistics Canada"]
[345,"i",null,19,"c","Rural Area Population",null,"CIHI In Depth (2014)","D",null,"CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Regional Characteristics and Inputs",null,"·      Statistics Canada"]
[345,"i",null,19,"c","Immigrant Population",null,"CIHI In Depth (2014)","D",null,"CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Structural Factors Influencing Health",null,"·      Statistics Canada"]
[345,"i",null,19,"c","Total population",null,"Health at a Glance 2015","B",null,null,0]
[345,"i",null,19,"ms","Aboriginal Population",null,"CIHI In Depth (2014)","D",null,"CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Structural Factors Influencing Health",null,"·      Statistics Canada"]
[346,"i",2,19,"s","Birth rate, crude","Live births per 1000 population","ECHI","A",{"$f":"COUNTIF(L2387:BB2387,\">0\")","v":1},"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,"The ratio of the number of births during the year to the average population in that year. The value is expressed per 1000 inhabitants.","The crude Birth Rate is calculated as the number of resident live births in a country during a calendar year\ndivided by the average population for the country multiplied by 1000. The average population during\na calendar year is generally calculated as the arithmetic mean of the population on 1 January of two\nconsecutive years (it is also referred to as the mean population).","Basic demographic data. An indicator needed for calculating population growth (together with crude\nmortality rate).","Values","Eurostat","• Calendar year\n• Country\n• Region (according to ISARE recommendations)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=demo_gind&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/demo_gind_esms.htm","http://ec.europa.eu/health/indicators/docs/echi_2.pdf"]
[363,"i","C5",19,"s","Distribution of gestational age by vital status, plurality","Number of live births and fetal deaths at each completed week of gestation (starting from 22 weeks) expressed as a proportion of all live and stillbirths for singletons and multiples.\nGestational age is defined as the best obstetrical estimate.\nThis distribution is presented, as follows:\n22-36 weeks of gestation (preterm births)\n37-41 weeks (term births)\n41+ weeks (post-term births)\nPreterm births can also be presented as:\n22-27 weeks (extremely preterm)\n28-31 weeks (very preterm)\n32-36 weeks (moderately preterm)","Europeristat","A",{"$f":"COUNTIF(L2388:BB2388,\">0\")","v":1},"Euro-Peristat. (2012). Euro-Peristat project - Better statistics for better health for pregnant women and their babies.   Retrieved from http://www.europeristat.com/",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"Number of live births and fetal deaths at each completed week of gestation (starting from 22 weeks) expressed as a proportion of all live and stillbirths for singletons and multiples.\nGestational age is defined as the best obstetrical estimate.\nThis distribution is presented, as follows:\n22-36 weeks of gestation (preterm births)\n37-41 weeks (term births)\n41+ weeks (post-term births)\nPreterm births can also be presented as:\n22-27 weeks (extremely preterm)\n28-31 weeks (very preterm)\n32-36 weeks (moderately preterm)"]
[364,"i","C7",19,"s","Multiple birth rate by number of fetuses","The number of women in a multiple gestation pregnancy at delivery as a proportion of all women delivering live or stillborn babies by number of fetuses","Europeristat","A",{"$f":"COUNTIF(L2389:BB2389,\">0\")","v":1},"Euro-Peristat. (2012). Euro-Peristat project - Better statistics for better health for pregnant women and their babies.   Retrieved from http://www.europeristat.com/",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"The number of women in a multiple gestation pregnancy at delivery as a proportion of all women delivering live or stillborn babies by number of fetuses"]
[365,"i","C9",19,"s","Distribution of parity ","Distribution of parity (number of previous live or stillbirths) of women delivering a live or stillbirth.","Europeristat","A",{"$f":"COUNTIF(L2390:BB2390,\">0\")","v":1},"Euro-Peristat. (2012). Euro-Peristat project - Better statistics for better health for pregnant women and their babies.   Retrieved from http://www.europeristat.com/",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"Distribution of parity (number of previous live or stillbirths) of women delivering a live or stillbirth."]
[347,"i",null,19,"s","Total fertility rate","The mean number of children that would be born alive to a woman during her lifetime if she were to pass through her childbearing years conforming to the fertility rates by age of a given year.","Consolidated","A, C",{"$f":"COUNTIF(L2391:BB2391,\">0\")","v":2},"Consolidated",{"$f":"COUNTIF(L2392:L2393,1)","v":1},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[347,"i",4,19,"c","Total fertility rate","Total fertility rate","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The mean number of children that would be born alive to a woman during her lifetime if she were to pass through her childbearing years conforming to the fertility rates by age of a given year.","Total fertility rate is computed as the mean number of children that would be born alive to a woman during\nher lifetime if she were to pass through her childbearing years (generally defined as 15-49) conforming to the\nfertility rates by age of a given year. It is computed by adding the fertility rates by age for women in a given\nyear (the number of women at each age is assumed to be the same, i.e. mortality is assumed to be zero during\nthe child-bearing period).","Basic demographic data. The total fertility rate is the completed fertility of a hypothetical generation and is\nalso used to indicate the replacement level fertility, i.e. the fertility needed to compensate mortality loss. In more developed countries, a rate of 2.1 is considered to be replacement level.","Rate","Eurostat","• Calendar year\n• Country\n• Region (according to ISARE recommendations)","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=demo_find&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/demo_fer_esms.htm","http://www.healthindicators.eu/healthindicators/object_binary/o3000_4.-Total-fertility-rate.pdf"]
[347,"i",3,19,"c","Total fertility rate",null,"WHO Core Health 2015","C",null,"World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[348,"e2",null,19,"s","Distribution of maternal age","Distribution of age in years at delivery for women delivering a live or stillbirth. \nRecommended presentation, as follows: <15,15-17, 18-19,20-24,25-29,30-34,35-39,40-44,45-49,50+","Consolidated","A, D",{"$f":"COUNTIF(L2394:BB2394,\">0\")","v":3},"Consolidated",{"$f":"COUNTIF(L2395:L2397,1)","v":1},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0]
[348,"e2",3,19,"c","Mother’s age distribution","Percentage of live births in mothers by age group and education","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Distribution of live births by mother’s age at last birthday","Percentage of live births in mothers younger than 20 years, and percentage of live births in mothers of\n35 years of age and older.","Both early and late childbearing are associated with higher than average rates of preterm birth, growth\nrestriction and mortality in the perinatal period.","Percentage","Eurostat","• Calendar year\n• Country\n• Region (according to ISARE recommendations).\n• Socio-economic status (educational level. ISCED 3 aggregated groups: 0-2; 3+4; 5+6), only relevant for\nmothers aged 35 and over.","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=demo_fagec&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/demo_fer_esms.htm","http://www.healthindicators.eu/healthindicators/object_binary/o3022_3.-Mother's-age-distribution.pdf"]
[348,"e2","nA",19,"c","Unintended pregnancy: Teen pregnancy rate",null,"IOM 2015","D",null,"IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"It is a measure that aggregates a variety of social, behavioral, cultural, and health factors, particularly the availability and use of both knowledge and tools for family planning. ",null,"CDC Vital Statistics System","race, ethnicity"]
[348,"e2","C8",19,"c","Distribution of maternal age","Distribution of age in years at delivery for women delivering a live or stillbirth. \nRecommended presentation, as follows: <15,15-17, 18-19,20-24,25-29,30-34,35-39,40-44,45-49,50+","Europeristat","A",null,"Euro-Peristat. (2012). Euro-Peristat project - Better statistics for better health for pregnant women and their babies.   Retrieved from http://www.europeristat.com/",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"Distribution of age in years at delivery for women delivering a live or stillbirth. \nRecommended presentation, as follows: <15,15-17, 18-19,20-24,25-29,30-34,35-39,40-44,45-49,50+"]
[349,"i",null,19,"s","GDP per capita","GDP per capita in PPS per inhabitant.","Consolidated","A, B, C",{"$f":"COUNTIF(L2398:BB2398,\">0\")","v":7},"Consolidated",{"$f":"COUNTIF(L2399:L2409,1)","v":0},0,0,0,0,0,0,0,2,0,3,1,1,1,0,0,1,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[349,"i",36,19,"c","Current account balances crisis hit countries vs. surplus countries",null,"European Pillar of Social Rights","A",null,"European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Eurostat. Estimates for 2015"]
[349,"i",37,19,"c","Nominal unit labour cost, EA north vs. EA south+Ireland",null,"European Pillar of Social Rights","A",null,"European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Eurostat. Note: Estimates for 2015."]
[349,"i","nA",19,"c","GDP per capita",null,"EXPH 2014","A",null,"EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",0,0,0,0,0,0,0,0,0,0,1]
[349,"i","nA",19,"c","Economic impact - full income (VLY + GDP)",null,"EXPH 2014","A",null,"EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"measures of economic Value of additional Life Years.",null,null,null,999]
[349,"i","nA",19,"c","GDP growth",null,"EXPH 2014","A",null,"EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",0,0,0,0,0,0,0,0,0,0,1]
[349,"i","S-6",19,"c","GDP per capita","GDP per capita in PPS per inhabitant.","JAF Health (DG EMPL)","A",null,"EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"GDP per capita in PPS per inhabitant.",null,null,null,"Eurostat"]
[349,"i",null,19,"c","National income: gross domestic product per capita",null,"EC-MACELI 2014","A",null,"European Commission (2014). Comparative efficiency of health systems, corrected for selected lifestyle factors. Retrieved from http://ec.europa.eu/health/systems_performance_assessment/docs/2015_maceli_report_en.pdf",0,0,0,0,0,0,0,0,0,0,0,0,1]
[349,"i","nA",19,"c","Income: GDP per capita in PPP",null,"Medeiros & Schwierz 2015 (DG-ECFIN)","A",null,"Medeiros J & Schwierz C (2015) Efficiency estimates of health care systems - European Commission Economic Papers (Vol. 549). Brussels: European Economy.",0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"GDP per capita in PPP"]
[349,"i",null,19,"c","GDP per capita and average annual growth rates",null,"Health at a Glance 2015","B",null,"OECD (2015) Health at a Glance 2015: OECD Indicators, OECD Publishing, Paris. http://dx.doi.org/10.1787/health_glance-2015-en",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[349,"i",8,19,"c","Real GDP, PPP$ per capita",null,"WHO Core Health 2015","C",null,"World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[349,"i",9,19,"c","Annual growth rate of GDP (%)","Health 2020","WHO Core Health 2015","C",null,"World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[350,"e2",null,19,"s","Employment rate","Proportion of population aged 25-64 whose current or last main occupation is/was  (by ESeC class: 1-2, 3/6, 4-5, 8-9, 7) by sex. ","Consolidated","A",{"$f":"COUNTIF(L2410:BB2410,\">0\")","v":6},"Consolidated",{"$f":"COUNTIF(L2411:L2420,1)","v":1},0,0,1,0,0,1,0,5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0]
[350,"e2",7,19,"c","Population by occupation","Proportion of population aged 25-64 whose current or last main occupation is/was  (by ESeC class: 1-2, 3/6, 4-5, 8-9, 7) by sex","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Proportion (%) of population by occupational group. Classification is based on the current or last (main) occupation.","According to European Socio-economic Classification (ESeC) project recommendations; 9 occupational\nclasses (and one class for never worked/long-term unemployed), based on ISCO classification and additional\ninformation on: 1) status (self-employed/employees), 2) organization size for employers (less than 10/10\nemployees or more), 3) hierarchical position for employee (supervisor or ordinary employee). The 9 classes\nare to be aggregated into 5 groups: ESeC classes 1+2, 3+6, 4+5, 7, and 8+9.","Next to stratification schemes based on educational level and income, occupation-based social class schemes provide an important tool for monitoring socio-economic inequalities in health.",null,"Eurostat (LFS)","• Calendar year\n• Country\n• Region (according to ISARE recommendations)\n• Sex\n• Age group (25-64)"]
[350,"e2","nA",19,"c","Employment rate of workers aged 55- 64",null,"ESIF for Health 2015","A",null,"ESIF, European Structural and Investment Funds (2015) Technical Toolkit: Set of indicators useful for the final evaluation of actions, developed under the project “Provision of support for the effective use of European Structural and Investment (ESI) Funds for health investments”, http://www.esifforhealth.eu/pdf/WP3%283%29_Indicators_FINAL_20150211.pdf",0,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Proportion of people aged 55-64 in employment.",null,"Active and healthy ageing"]
[350,"e2",null,19,"c","Employment rate",null,"Eurostat - Quality of Life","A",null,"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Productive or main activity: Quantity of employment - Employment and unemployment",null,null,null,"http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-055844_QID_-7E87E554_UID_-3F171EB0&layout=TIME,C,X,0;GEO,L,Y,0;SEX,L,Z,0;AGE,L,Z,1;ISCED11,L,Z,2;UNIT,L,Z,3;INDICATORS,C,Z,4;&zSelection=DS-055844UNIT,PC;DS-055844ISCED11,TOTAL;DS-055844INDICATORS,OBS_FLAG;DS-055844AGE,Y15-64;DS-055844SEX,T;&rankName1=ISCED11_1_2_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=TIME_1_0_0_0&rankName7=GEO_1_2_0_1&sortC=ASC_-1_FIRST&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=NONE&time_most_recent=false&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23"]
[350,"e2","R10",19,"c","Distribution of household occupation",null,"Europeristat (R) ","A",null,"Euro-Peristat. (2012). Euro-Peristat project - Better statistics for better health for pregnant women and their babies.   Retrieved from http://www.europeristat.com/",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,"The distribution of the mother’s and father’s occupation for mothers and fathers of live or stillborn babies using the International Standard Classification of Occupations (ISCO-08) major groups:\n1-Managers\n2-Professionals\n3-Technicians and associate professionals\n4-Clerical support workers\n5-Service and sales workers\n6-Skilled agricultural, forestry and fishery workers\n7-Craft and related trades workers\n8-Plant and machine operators, and assemblers\n9-Elementary occupations\n0-Armed forces occupations\n99 – no profession\n88 – student\nhttp://www.ilo.org/public/english/bureau/stat/isco/\nIf countries cannot use this classification, data are provided using local classifications used to\nreport on occupation in your system."]
[350,"e2",27,19,"c","\"Winners\" and \"losers\" among professions. Cumulative growth rate of distribution of population by occupation",null,"European Pillar of Social Rights","A",null,"European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"legislators, senior officials and managers; professionals; technicians  and associate professionals; clerks; service workers and shop and market sales workers; skilled agricultural and fishery workers; craft and related trades workers; plant and machine operators and assemblers; elementary occupations; armed forces",null,"These transformations will thus particularly affect production lines in the manufacturing sector, a particularly relevant point for Europe's industrial core, but they may also affect specific high-skilled occupations.\nFor instance, \"hollowing out\" effects are already tangible in higher-skill professions such as journalism, accounting, tax and management consultancy, legal and other advisory, eventually even education. \nManual work – in particular in manufacturing and agriculture – has in part been losing ground in recent years, which is more than the effect of the crisis and certainly also reflects the process of automation. ",null,"Eurostat"]
[350,"e2",17,19,"c","Employment rates, EU28 and groups of countries, 2000-2015, % of age group 15-64",null,"European Pillar of Social Rights","A",null,"European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Eurostat"]
[350,"e2",9,19,"c","Employment rates of women and men (age group 15-64), and older adults (age group 55-65), EU28, %",null,"European Pillar of Social Rights","A",null,"European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Eurostat"]
[350,"e2",28,19,"c","Change in total employment by sector in EU28, 2010-14, absolute numbers",null,"European Pillar of Social Rights","A",null,"European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"OECD, 2015"]
[350,"e2",34,19,"c","Net Employment Change (in thousands) by job-wage quintile, EU27",null,"European Pillar of Social Rights","A",null,"European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"If skill levels largely determine access to opportunities, they also explain a sizeable part of the employment-wage gap. Permanent employment – associated with high skill levels – remains the best paid, the most secure and the fastest growing in Europe. During and immediately after the economic and financial crisis, employment only grew in jobs accounting for the lowest and highest job-wage quintile",null,"European Commission (2016), Employment and Social Developments in Europe (ESDE) 2015"]
[350,"e2",null,19,"c","Employment rates for older workers (55-64), in %",null,"SPC - SPPM (DG EMPL)","A",null,"EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Persons in employment in age group 55-64, as a proportion of total population in the same age group.",null,"Youth exclusion",null,"Eurostat (EU-SILC)"]
[351,"i",null,19,"s","Unemployment rate","Unemployment rate, % of labour force, annual average, total population (15-74 years), by sex","Consolidated","A, C, D, E",{"$f":"COUNTIF(L2421:BB2421,\">0\")","v":7},"Consolidated",{"$f":"COUNTIF(L2422:L2428,1)","v":1},0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,1,1,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[351,"i",8,19,"c","Total unemployment","a) Unemployment rate, % of labour force, annual average, total population (15-74 years), by sex\nb) Long term unemployment rate, % of labour force, annual average, total population (15-74 years), by sex","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"1) Proportion (%) of unemployed persons aged 15-74 in the labour force.\n2) Proportion (%) of long-term unemployed persons aged 15-74 in the labour force.","1) The (annual average) number of unemployed people aged 15-74 years who where without work, were\ncurrently available for work and were either actively seeking work in the past four weeks or had already\nfound a job to start with within the next two weeks, as a proportion of the labour force (unemployed\nand employed persons aged 15 to 74 ). Annual averages are calculated based on four reference weeks,\neach for one quarter of the year.\n2) The (annual average) number of long-term unemployed people (persons who have been unemployed\nfor one year or more) aged 15-74 years as a proportion of the labour force (unemployed and employed\npersons 15 to 74 years of age). Annual averages are calculated based on using four reference weeks, each\nfor one quarter of the year.","Important indicator from the view of socio-economic differences in health. Besides other special risks,\nunemployment is tied up with poverty. Especially long-term unemployment itself has detrimental health\neffects.","Rate","Eurostat (LFS)","• Calendar year\n• Country\n• Region (according to ISARE recommendations; see data availability)\n• Sex\n• Age group (15-24)","http://ec.europa.eu/eurostat/web/lfs/data/database","http://ec.europa.eu/eurostat/cache/metadata/en/une_esms.htm","http://ec.europa.eu/health/indicators/docs/echi_8.pdf"]
[351,"i",null,19,"c","Unemployment rate",null,"Eurostat - Quality of Life","A",null,"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Productive or main activity: Quantity of employment - Employment and unemployment",null,null,null,"http://ec.europa.eu/eurostat/product?mode=view&code=lfsa_urgaed"]
[351,"i",18,19,"c","Total unemployment, annual average, %",null,"European Pillar of Social Rights","A",null,"European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Eurostat"]
[351,"i",10,19,"c","Unemployment rate, disaggregated by age and sex",null,"WHO Health 2020","C",null,"WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"ILOSTAT and Eurostat (ILO 38; EU-SILC 30; total 43)"]
[351,"i",7,19,"c","Unemployment rate (%)","Health 2020","WHO Core Health 2015","C",null,"World Health Organization Regional Office for Europe. (2015). Core Health Indicators in the WHO European Region 2015 - Special focus: human resources for health. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0019/290440/Core-Health-Indicators-European-2015-human-resources-health.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[351,"i",null,19,"c","Unemployment Rate",null,"CIHI In Depth (2014)","D",null,"CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Structural Factors Influencing Health",null,"·      Statistics Canada"]
[351,"i",null,19,"c","Unemployment rate",null,"Estonia HSPA (2010)","E",null,"WHO Regional Office for Europe., & Ministry of Social Affairs of Estonia. (2010). Estonia health system performance assessment. 2009 snapshot. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0015/115260/E93979.pdf?ua=1",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Broader determinants of health: social determinants of health"]
[352,"e0",null,19,"s","Population living in very low intensity (quasijobless) households","People aged 0-59, living in households, where working-age adults (18-59) work less than 20% of their total work potential during the past year.","Consolidated","A",{"$f":"COUNTIF(L2429:BB2429,\">0\")","v":3},"Consolidated",{"$f":"COUNTIF(L2430:L2432,1)","v":0},0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[352,"e0",null,19,"c","People living in households with very low work intensity: by age and sex, by income quintile and household type",null,"Eurostat - Quality of Life","A",null,"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Productive or main activity: Quantity of employment - UnderEmployment, quantity",null,null,null,"http://ec.europa.eu/eurostat/product?mode=view&code=ilc_lvhl11"]
[352,"e0",null,19,"c","Living in households with very low work intensity by children (<18y), young people (18-24) and the gap between total population",null,"EU Youth Health 2015 (DG EAC)","A",null,"European Commission (2011). Commission Staff Working Document on EU indicators in the field of youth. SEC(2011) 401 final.  Retrieved from http://ec.europa.eu/youth/library/publications/indicator-dashboard_en.pdf\nEuropean Commission (2015). Youth monitor - European Commission.   Retrieved from http://ec.europa.eu/youth/dashboard/index_en.htm",0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"People living in households with very low work intensity are people aged 0-59 living in households where adults worked less than 20 % of their total work potential during the past year.",null,"Social inclusion",null,"Eurostat (EU-SILC)"]
[352,"e0",null,19,"c","Population living in very low intensity (quasijobless) households","People aged 0-59, living in households, where working-age adults (18-59) work less than 20% of their total work potential during the past year.","SPC - SPPM (DG EMPL)","A",null,"EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"People aged 0-59, living in households, where working-age adults (18-59) work less than 20% of their total work potential during the past year.",null,"Work intensity is taken into account in a broad range of indicators since it is one of the three dimensions that included in the EU2020 indicators. This indicator refers to people living in households with work intensity less than 0.2. The promotion of employment growth has been high on the agenda of the EU for several decades, to that extent, the overall distribution of population living in households with very low work intensity provides valuable information.",null,"Eurostat (EU-SILC)","gender; age - 0-17 (0-5; 6-11; 12-17), 18-59"]
[353,"i",null,19,"s","Mean and median income","Disaggregated by age and sex. \nDisposable net income is the total gross disposable income (i.e. all income from work, private income from investment and property, transfers between households and all social transfers received in cash including old-age pensions) minus social security contributions and income taxes payable by employees (see the metadata here). ","Eurostat - Quality of Life","A",{"$f":"COUNTIF(L2433:BB2433,\">0\")","v":2},"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,null,"Material living conditions: Income",null,null,null,"http://ec.europa.eu/eurostat/product?mode=view&code=ilc_di03","http://ec.europa.eu/eurostat/cache/metadata/en/ilc_esms.htm"]
[353,"i",null,19,"c","Real change in gross household disposable income (in %) (GHDI)","Real growth in gross household disposable income (GHDI).\nReal GDHI is calculated as nominal GDHI divided by the deflator of household final consumption expenditure.","SPC - SPPM (DG EMPL)","A",null,"EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Real growth in gross household disposable income (GHDI).\nReal GDHI is calculated as nominal GDHI divided by the deflator of household final consumption expenditure.",null,"Evolution in household disposable income",null,"Eurostat (EU-SILC)"]
[354,"i",null,19,"s","At risk of poverty or social exclusion rate","The sum of persons who are: \na) at-risk-of- poverty (cut-off point: 60% of mean equivalised income) or \nb) severely materially deprived (population living in households lacking at least 4 items out of the following 9 items: i) to pay rent or utility bills, ii) keep home adequately warm, iii) face unexpected expenses, iv) eat meat, fish or a protein equivalent every second day, v) a week holiday away from home, or could not afford (even if wanted to) vi) a car, vii) a washing machine, viii) a colour TV, or ix) a telephone) or \nc) living in households with very low work intensity (work less than 20% of their total work potential) as a share of the total population.","Consolidated","A, D, E",{"$f":"COUNTIF(L2435:BB2435,\">0\")","v":10},"Consolidated",{"$f":"COUNTIF(L2436:L2456,1)","v":1},0,0,0,0,0,4,0,2,3,0,1,0,0,5,0,0,0,0,0,0,1,2,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0]
[354,"i","9 (A)",19,"c","Population below poverty line","At risk of poverty rate (cut-off point: 60% of mean equivalised income), total population, by sex, by age-group (0-17, 18-64, 65+)","ECHI","A",null,"EC, ECHI - European Core Health Indicators (2016) http://ec.europa.eu/health/indicators/echi/list/index_en.htm ",1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"3) Population at risk of poverty: the share of persons with an income below the poverty line.","1) Percentage of persons in the total population with an equivalised disposable income below the\n“national poverty line” (i.e. below 60% of the national median equivalised disposable income). Total\npopulation is all persons living in private household on the national territory. Total disposable income\nof a household is calculated by adding together the personal income received by all of the household\nmembers, plus income received at household level. Disposable household income includes all income\nfrom work, private income from investment en property, transfers between households and all social\ntransfers received in cash including old-age pensions (see remarks for more detailed definition). Personal\nequivalised income is obtained by dividing the total household disposable income by the equivalised\nsize of the household, using modified OECD scale: 1 for the first person aged 14 or more; 0.5 for any\nsubsequent person aged 14 or more; and 0.3 for persons aged less then 14.","Important indicator for social inclusion. Economic deprivation can have a negative effect on health and wellbeing. Children are especially vulnerable.","Percentage","Eurostat (EU-SILC)","gender, age","http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=ilc_peps01&lang=en","http://ec.europa.eu/eurostat/cache/metadata/en/ilc_esms.htm","http://ec.europa.eu/health/indicators/docs/echi_9.pdf"]
[354,"i",null,19,"c","At-risk-of-poverty rate",null,"Eurostat - Quality of Life","A",null,"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Material living conditions: Income",null,null,null,"http://ec.europa.eu/eurostat/product?mode=view&code=ilc_li02","http://ec.europa.eu/eurostat/cache/metadata/en/ilc_esms.htm"]
[354,"i",null,19,"c","At-risk-of-poverty rate anchored at a fixed moment in time (2008) ",null,"Eurostat - Quality of Life","A",null,"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Material living conditions: Income",null,null,null,"http://ec.europa.eu/eurostat/product?mode=view&code=ilc_li22b","http://ec.europa.eu/eurostat/cache/metadata/en/ilc_esms.htm"]
[354,"i",null,19,"c","Severely materially deprived people",null,"Eurostat - Quality of Life","A",null,"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Material living conditions: Material deprivation",null,null,null,"http://ec.europa.eu/eurostat/product?mode=view&code=t2020_53"]
[354,"i",null,19,"c","(In)ability to make ends meet",null,"Eurostat - Quality of Life","A",null,"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Material living conditions: Material deprivation",null,null,null,"http://ec.europa.eu/eurostat/product?mode=view&code=ilc_mdes09"]
[354,"i",23,19,"c","People at risk of poverty by country, disaggregated by gender and age, % of population",null,"European Pillar of Social Rights","A",null,"European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Eurostat"]
[354,"i",24,19,"c","Differences between women and men (pp) in at-risk of poverty and/or social exclusion (AROPE) rate",null,"European Pillar of Social Rights","A",null,"European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Older people are, at present, better protected against poverty. However, there remain clear differences between men and women across much of the EU. Women above age 65 face a substantially higher risk of poverty or social exclusion than their male counterparts. For the EU as a whole, gender differences in the incidence of poverty amount to more than four percentage points for women between age 65 and 74, and increases to over six percentage points above age 75",null,"Eurostat. Calculated as AROPE rate for women – AROPE rate for men (pps)"]
[354,"i",null,19,"c","At risk of poverty or social exclusion rate by children (<18y), young people (18-24) and the gap between total population",null,"EU Youth Health 2015 (DG EAC)","A",null,"European Commission (2011). Commission Staff Working Document on EU indicators in the field of youth. SEC(2011) 401 final.  Retrieved from http://ec.europa.eu/youth/library/publications/indicator-dashboard_en.pdf\nEuropean Commission (2015). Youth monitor - European Commission.   Retrieved from http://ec.europa.eu/youth/dashboard/index_en.htm",0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Share of children or young people who are at risk of poverty and/or severely materially deprived and/or living in a household with very low work intensity (see further definitions below).\nThe gap between children or young people and total population (in percentage points) who are at risk of poverty and/or severely materially deprived and/or living in a household with very low work intensity.",null,"Social inclusion",null,"Eurostat (EU-SILC)"]
[354,"i",null,19,"c","At-risk-of-poverty rate for children (<18y) and gap between total population",null,"EU Youth Health 2015 (DG EAC)","A",null,"European Commission (2011). Commission Staff Working Document on EU indicators in the field of youth. SEC(2011) 401 final.  Retrieved from http://ec.europa.eu/youth/library/publications/indicator-dashboard_en.pdf\nEuropean Commission (2015). Youth monitor - European Commission.   Retrieved from http://ec.europa.eu/youth/dashboard/index_en.htm",0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The share of children (under age 18) living in families with an equivalised disposable income below 60 % of the national median equivalised disposable income (after social transfers). \nThe gap between children and total population (in percentage points) regarding living in families with an equivalised disposable income below 60 % of the national median equivalised disposable income (after social transfers).",null,"Social inclusion",null,"Eurostat (EU-SILC)"]
[354,"i",null,19,"c","Severe Material deprivation rate by children (<18y), young people (18-24) and the gap between total population",null,"EU Youth Health 2015 (DG EAC)","A",null,"European Commission (2011). Commission Staff Working Document on EU indicators in the field of youth. SEC(2011) 401 final.  Retrieved from http://ec.europa.eu/youth/library/publications/indicator-dashboard_en.pdf\nEuropean Commission (2015). Youth monitor - European Commission.   Retrieved from http://ec.europa.eu/youth/dashboard/index_en.htm",0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"percentage of the population that cannot afford at least four of the following nine items: 1) to pay their rent, mortgage or utility bills; 2) to keep their home adequately warm; 3) to face unexpected expenses; 4) to eat meat or proteins regularly; 5) to go on holiday; or cannot afford to buy a: 6) TV 7) Refrigerator, 8) Car, 9) Telephone.",null,"Social inclusion",null,"Eurostat (EU-SILC)"]
[354,"i","S-2",19,"c","At risk of poverty or social exclusion rate",null,"JAF Health (DG EMPL)","A",null,"EC, Social Protection Committee Indicators Sub-group (2013) Developing an assessment framework in the area of health based on the Joint Assessment Framework methodology: final report to the SPC on the first stage of implementation, Brussels, 19 November 2013. \nEC, Social Protection Committee Indicators Sub-group (2015) Progress report on the review of the Joint Assessment Framework in the area of health, Brussels 17 February 2015. ",0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The sum of persons who are: at-risk-of- poverty or severely materially deprived or living in households with very low work intensity as a share of the total population.",null,null,null,"Eurostat (EU-SILC)","gender (for people above 18); age - 0-17 (0-5; 6-11; 12-17), 18-64, 65+"]
[354,"i",null,19,"c","At risk of poverty or social exclusion rate","At risk of poverty rate (cut-off point: 60% of mean equivalised income), total population, by sex, by age-group (0-17, 18-64, 65+)","SPC - SPPM (DG EMPL)","A",null,"EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The sum of persons who are: at-risk-of- poverty or severely materially deprived or living in households with very low work intensity as a share of the total population.",null,"Europe 2020 headline indicator",null,"Eurostat (EU-SILC)","gender (for people above 18); age - 0-17 (0-5; 6-11; 12-17), 18-64, 65+","http://nui.epp.eurostat.ec.europa.eu/nui/show.do?dataset=ilc_peps01&lang=en","http://ec.europa.eu/europe2020/index_en.htm"]
[354,"i",null,19,"c","At risk of poverty or social exclusion rate for the elderly (65+), in %",null,"SPC - SPPM (DG EMPL)","A",null,"EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The sum of elderly (65+) who are: at-risk-of-poverty or severely materially deprived or living in (quasi-)jobless households (i.e. with very low work intensity) as a share of the total population in the same age group.",null,null,null,"Eurostat (EU-SILC)"]
[354,"i",null,19,"c","At-risk-of poverty rate + illustrative threshold values","Share of persons aged 0+ with an equivalised disposable income below 60% of the national equivalised median income.\nEquivalised median income is defined as the household's total disposable income divided by its \"equivalent size\", to take account of the size and composition of the household, and is attributed to each household member. Equivalization is made on the basis of the OECD modified scale.","SPC - SPPM (DG EMPL)","A",null,"EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Share of persons aged 0+ with an equivalised disposable income below 60% of the national equivalised median income.\nEquivalised median income is defined as the household's total disposable income divided by its \"equivalent size\", to take account of the size and composition of the household, and is attributed to each household member. Equivalization is made on the basis of the OECD modified scale.",null,"In the European Council of Ministers of 1975, the poor are defined as ‘individuals whose resources are so small as to exclude them from the minimal acceptable way of life of the Member State in which they live’. While this notion is multidimensional, a lack of financial resources is an important dimension of poverty. The at-risk-of-poverty rate indicates the share of the population with a relative low income. This low income will most likely hamper their capacity to fully participate in social life of the Member State where they reside.",null,"Eurostat (EU-SILC)","gender (for people above 18); age - 0-17 (0-5; 6-11; 12-17), 18-64, 65+"]
[354,"i",null,19,"c","Children at risk of poverty and social exclusion (in %)",null,"SPC - SPPM (DG EMPL)","A",null,"EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The sum of children (0-17) who are: at-risk-of-poverty or severely materially deprived or living in (quasi-)jobless households (i.e. households with very low work intensity (below 20%) as a share of the total population.",null,null,null,"Eurostat (EU-SILC)"]
[354,"i",null,19,"c","Severe material deprivation rate","Share of population living in households lacking at least 4 items out of the following 9 items: i) to pay rent or utility bills, ii) keep home adequately warm, iii) face unexpected expenses, iv) eat meat, fish or a protein equivalent every second day, v) a week holiday away from home, or could not afford (even if wanted to) vi) a car, vii) a washing machine, viii) a colour TV, or ix) a telephone.","SPC - SPPM (DG EMPL)","A",null,"EC, Social Protection Committee Indicators Sub-group (2015) 2014 Social Protection Performance Monitor (SPPM) dashboard results, http://ec.europa.eu/social/main.jsp?catId=738&langId=de&pubId=7823 ",0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Share of population living in households lacking at least 4 items out of the following 9 items: i) to pay rent or utility bills, ii) keep home adequately warm, iii) face unexpected expenses, iv) eat meat, fish or a protein equivalent every second day, v) a week holiday away from home, or could not afford (even if wanted to) vi) a car, vii) a washing machine, viii) a colour TV, or ix) a telephone.",null,"Whereas the at-risk-of-poverty rate measures income to identify a lack of resources, the material deprivation rate focuses on the ability of households or individuals to afford certain items. The effect of low income might be offset by high savings, access to credit or other sources. By focusing on expenses, the material deprivation rate could take these factors into account. Moreover, by measuring deprivation using a threshold (4 items) of and a list of items that are common to all Member States, the material deprivation is more sensitive to differences in living standards across countries than the poverty risk rate with its nationally defined poverty threshold.",null,"Eurostat (EU-SILC)","gender ; age - 0-17(0-5; 6-11; 12-17), 18-64, 65+"]
[354,"i",null,19,"c","Proportion of people with low income",null,"AIHW. (2014)","D",null,"AIHW. (2014). Australia's health 2014. Retrieved from Canberra: http://www.aihw.gov.au/publication-detail/?id=60129547205",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"There are numerous ways to measure low income. The method chosen for this indicator is to consider people living in households with an equivalised disposable household income (that is, after-tax income, adjusted for the number of people in the household) that is less than 50% of the national median. These data are presented as a percentage of all people."]
[354,"i",null,19,"c","Children Living in Low-Income Families",null,"CIHI In Depth (2014)","D",null,"CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Structural Factors Influencing Health",null,"·      Statistics Canada"]
[354,"i",null,19,"c","Household Food Insecurity",null,"CIHI In Depth (2014)","D",null,"CIHI, Canadian Institute of Health Information (2014) Your Health System: In Depth (2014)",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Structural Factors Influencing Health",null,"·      Canadian Community Health Survey, Statistics Canada"]
[354,"i","nA",19,"c","Healthy communities: Childhood poverty rate",null,"IOM 2015","D",null,"IOM, Institute of Medicine (2015) Vital signs: Core metrics for health and health care progress. Washington, DC: The National Academies Press.",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[354,"i",56,19,"c","At risk of poverty or social exclusion",null,"Malta - Grech et al. (2015)","E",null,"Grech, K., Podesta, M., Calleja, A., & Calleja, N. (2015). Report on the Performance of the Maltese Health System 2015​. Retrieved from https://health.gov.mt/en/dhir/Documents/HSPA%20-%20Malta%20Report%20-%20Final%20050416.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,"At risk of poverty refers to the share of persons with an income below the poverty line. Income inequality is defined by the ratio of total income received by 20% of the country’s population with the highest income to that received by 20% of the country’s population with the lowest income","Population at risk of poverty: Percentage of persons in the total population with an equivalised disposable income below the “national poverty line” (i.e. below 60% of the national median equivalised disposable income). Total population is all persons living in private household on the national territory. Total disposable income of a household is calculated by adding together the personal income received by all of the household members, plus income received at household level. Disposable household income includes all income from work, private income from investment and property, transfers between households and all social transfers received in cash including old-age pensions. Personal equivalised income is obtained by dividing the total household disposable income by the equivalised size of the household, using modified OECD scale: 1 for the first person aged 14 or more; 0.5 for any subsequent person aged 14 or more; and 0.3 for persons aged less then 14. Income inequality is calculated as the ratio of the sum of equivalised disposable income received by the 20% of the country’s population with the highest equivalised disposable income (top inter-quintile interval) to that received by the 20% of the country’s population with the lowest equivalised disposable income (lowest inter-quintile interval)"]
[355,"i",null,19,"s","GINI coefficient (income distribution)","Gini index measures the extent to which the distribution of income (or, in some cases, consumption expenditure) among individuals or households within an economy deviates from a perfectly equal distribution. A Lorenz curve plots the cumulative percentages of total income received against the cumulative number of recipients, starting with the poorest individual or household. The Gini index measures the area between the Lorenz curve and a hypothetical line of absolute equality, expressed as a percentage of the maximum area under the line. Thus a Gini index of 0 represents perfect equality, while an index of 100 implies perfect inequality.","Consolidated","A, E",{"$f":"COUNTIF(L2457:BB2457,\">0\")","v":4},"Consolidated",{"$f":"COUNTIF(L2458:L2463,1)","v":0},0,0,0,0,0,0,0,3,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[355,"i",13,19,"c","Gini Index: Long term trends in income inequalities",null,"European Pillar of Social Rights","A",null,"European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"(mid-1980s to 2013 or latest available) (",null,null,null,"OECD (2015)"]
[355,"i",22,19,"c","Disposable household income, level of inequality, 2005-2014 (Gini coefficient)",null,"European Pillar of Social Rights","A",null,"European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Eurostat"]
[355,"i",21,19,"c","Market income versus disposable household income, level of inequality, selected EU Member States, 2012 (Gini index)",null,"European Pillar of Social Rights","A",null,"European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"check definition",null,"The impact of social policy on inequality can be illustrated by comparing market income inequalities with inequalities of disposable income after transfers. The comparison shows the role of tax and trans-fer systems in reducing market income inequality.",null,"Eurostat, European Commission (2015), ESDE 2014; Note: Income data are not available for all EU Member States"]
[355,"i","nA",19,"c","GINI coefficient",null,"EXPH 2014","A",null,"EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",0,0,0,0,0,0,0,0,0,0,1]
[355,"i",12,19,"c","GINI coefficient (income distribution)",null,"WHO Health 2020","C",null,"WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"World Bank and Eurostat (World Bank 22; EU-SILC 26; total 40)"]
[355,"i","EQ-1",19,"c","Income distribution in population (GINI coefficient)",null,"Belgium - Vrijens et al. (2015)","E",null,"Vrijens, F., Renard, F., Camberlin, C., Desomer, A., Dubois, C., Jonckheer, P., . . . Meeus, P. (2015). Performance of the Belgian Health System. Report 2015. Health Services Research (HSR), Brussels, Belgian Health Care Knowledge Centre (KCE). ",0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The Gini index measures the degree of inequality in the distribution of the income in a country. The index is calculated from the Lorenz curve, in which cumulative income is plotted against the cumulative number of individuals arranged from the poorest to the richest. The i ndex is the ratio of (a) the area between a country's Lorenz curve and the 45 degree line to (b) the entire triangular area under t he 45 degree line. The more nearly equal a country's income distribution, the closer its Lorenz curve to the 45 degree line and the lower its Gini i ndex. The more unequal a country's income distribution, the farther its Lorenz curve from the 45 degree line and the higher its Gini index. If incomes are distributed with perfect equality, the Lorenz curve coincides with the 45 degree line and the index is zero; if incomes are d istributed with perfect inequality, the Lorenz curve coincides with the horizontal a xis and the right vertical axis and the index is 100.",null,"There is a link between the way to redistribute the incomes (income inequality) in a country and some forms of objective heal th problems and the perceived health situation or status  (Braveman, 2003, Daniels, 2008, Deaton, 2003, Jackson, 2010, Rowlingson, 2011, Van Oyen H,  2010) "]
[355,"i",null,19,"e/nr","Kakwani index",null,"Hungary HSPA (2014)","E",null,"Szigeti, S., Evetovits, T., Gaál, P., & Pusztai, Z. (2014). Strengthening health system performance assessment in Hungary - Analysis and recommendations. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/294882/Strengthening-HSPA-Hungary-Analysis-Recommendations.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
[356,"i",null,19,"s","Spending on social protection as % of GDP","Structure of social protection expenditure old age and survivors, sickness/health care, family/children, disability, unemployment, administration costs, housing, social exclusion, other expenditure as % of GDP","Consolidated","A",{"$f":"COUNTIF(L2465:BB2465,\">0\")","v":2},"Consolidated",{"$f":"COUNTIF(L2466:L2470,1)","v":0},0,0,0,0,0,0,0,4,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[356,"i",2,19,"c","Spending on social protection, EU-28, % of GDP, 2013","Structure of social protection expenditure old age and survivors, sickness/health care, family/children, disability, unemployment, administration costs, housing, social exclusion, other expenditure as % of GDP","European Pillar of Social Rights","A",null,"European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Eurostat"]
[356,"i",3,19,"c","Structure of social protection expenditure, EU-28, % of total expenditure, 2012",null,"European Pillar of Social Rights","A",null,"European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"old age and survivors, sickness/health care, family/children, disability, unemployment, administration costs, housing, social exclusion, other expenditure",null,null,null,"Eurostat"]
[356,"i",4,19,"c","Overall social protection expenditure, real growth trends in the EU,",null,"European Pillar of Social Rights","A",null,"European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"European Commission (2016), Employment and Social Developments Report 2015"]
[356,"i",25,19,"c","Social protection expenditure (% of GDP) and reduction of inequality and poverty (in %)",null,"European Pillar of Social Rights","A",null,"European Commission (2016) Key economic, employment and social trends behind a European Pillar of Social Rights, Commission Staff Working Document, SWD(2016) 51 final, available from: http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52016SC0051&from=EN",0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Eurostat, ESSPROS and EU-SILC, DG EMPL calculations"]
[356,"i","nA",19,"c","Costs of social protection (payments for sick, injured, prematurely retired, etc.)","nA","EXPH 2014","A",null,"EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,999]
[357,"e1",null,19,"s","Trust in, and satisfaction with, institutions and public services","trust in, and satisfaction with, institutions (under development in SILC 2013) and public services (to be developed)","Consolidated","A",{"$f":"COUNTIF(L2471:BB2471,\">0\")","v":1},"Consolidated",{"$f":"COUNTIF(L2472:L2475,1)","v":0},0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[357,"e1",null,19,"c","Average rating of trust in institutions: Legal system",null,"Eurostat - Quality of Life","A",null,"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Governance and basic rights: Institutions and public services - Trust and/or satisfaction in institutions",null,null,null,"http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-516020_QID_2185C53_UID_-3F171EB0&layout=INDIC_WB,L,X,0;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-516020SEX,T;DS-516020TIME,2013;DS-516020INDICATORS,OBS_FLAG;DS-516020ISCED97,TOTAL;DS-516020UNIT,RTG;DS-516020AGE,Y_GE16;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=true&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23"]
[357,"e1",null,19,"c","Average rating of trust in institutions: Police",null,"Eurostat - Quality of Life","A",null,"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Governance and basic rights: Institutions and public services - Trust and/or satisfaction in institutions",null,null,null,"http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-516020_QID_2C3047BA_UID_-3F171EB0&layout=INDIC_WB,L,X,0;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-516020SEX,T;DS-516020TIME,2013;DS-516020INDICATORS,OBS_FLAG;DS-516020ISCED97,TOTAL;DS-516020UNIT,RTG;DS-516020AGE,Y_GE16;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=true&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23"]
[357,"e1",null,19,"c","Average rating of trust in institutions: Political system",null,"Eurostat - Quality of Life","A",null,"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Governance and basic rights: Institutions and public services - Trust and/or satisfaction in institutions",null,null,null,"http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-516020_QID_36B03110_UID_-3F171EB0&layout=INDIC_WB,L,X,0;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-516020SEX,T;DS-516020TIME,2013;DS-516020INDICATORS,OBS_FLAG;DS-516020ISCED97,TOTAL;DS-516020UNIT,RTG;DS-516020AGE,Y_GE16;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=true&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23"]
[357,"e1",null,19,"c","Satisfaction with public services (to be developed)",null,"Eurostat - Quality of Life","A",null,"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Governance and basic rights: Institutions and public services - Trust and/or satisfaction in public services",null,null,null,"nA"]
[358,"e1",null,19,"s","Social interactions: Social cohesion","Social cohesion (covering interpersonal trust, perceived tensions and inequalities) will be measured using an indicator for trust in others (collected in SILC 2013, will be available in 2015). ","Consolidated","A, E",{"$f":"COUNTIF(L2476:BB2476,\">0\")","v":3},"Consolidated",{"$f":"COUNTIF(L2477:L2479,1)","v":0},0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0]
[358,"e1",null,19,"c","Average rating of trust in others",null,"Eurostat - Quality of Life","A",null,"Eurostat. (2015). Quality of life - Facts and views. Retrieved from http://ec.europa.eu/eurostat/documents/3217494/6856423/KS-05-14-073-EN-N/742aee45-4085-4dac-9e2e-9ed7e9501f23\nhttp://ec.europa.eu/eurostat/cache/infographs/qol/index_en.html",0,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Social interactions - Social cohesion",null,null,null,"http://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-516020_QID_8819B38_UID_-3F171EB0&layout=INDIC_WB,L,X,0;GEO,L,Y,0;UNIT,L,Z,0;ISCED97,L,Z,1;TIME,C,Z,2;SEX,L,Z,3;AGE,L,Z,4;INDICATORS,C,Z,5;&zSelection=DS-516020SEX,T;DS-516020TIME,2013;DS-516020INDICATORS,OBS_FLAG;DS-516020ISCED97,TOTAL;DS-516020UNIT,RTG;DS-516020AGE,Y_GE16;&rankName1=TIME_1_0_-1_2&rankName2=UNIT_1_2_-1_2&rankName3=AGE_1_2_-1_2&rankName4=INDICATORS_1_2_-1_2&rankName5=SEX_1_2_-1_2&rankName6=ISCED97_1_2_-1_2&rankName7=INDIC-WB_1_2_0_0&rankName8=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=true&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23"]
[358,"e1","nA",19,"c","Economic impact - social cohesion",null,"EXPH 2014","A",null,"EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Eurobarometer"]
[358,"e1",28,19,"c","Lack of trust in others",null,"Sweden - Socialstyrelsen. (2015)","E",null,"Socialstyrelsen. (2015). Regional comparisons 2014 – Public Health Retrieved from http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19912/2015-9-2.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,"Individuals who stated that they generally cannot trust people, 16–84 years old.",null,"Safety and social relationships"]
[null,null,"nA",19,"nr/e","Structure of taxes","fiscal/social security contributions (%total;  %labour; %capital; %consumption in relation with GDP)","EXPH 2014","A",null,"EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"fiscal/social security contributions (%total;  %labour; %capital; %consumption in relation with GDP)",null,null,null,"Eurostat. Taxation trends in the European Union, 2013."]
[null,null,"nA",19,"nr/e","Tax fraud, tax evasion, tax avoidance (% in relation with GDP)","nA","EXPH 2014","A",null,"EXPH, EXpert Panel on effective ways of investing in Health (2014) Definition and Endorsement of Criteria to Identify Priority Areas When Assessing the Performance of Health Systems, 27 February 2014.",0,0,0,0,0,0,0,0,0,0,1]
[null,null,null,20,999,"Others",null,"Consolidated",999,null,null,0]
[359,"e2",11,20,"s","National and/or subnational policy addressing the reduction of health inequities established and documented","Existence of policies and strategies to address health inequalities and social determinants of health: \nA specific aim of the indicator is to capture whether health inequities and social determinants of health are addressed in one form or another, in accordance with the strategic goals of Health 2020. Replies options: i) Yes, stand-alone, ii) Yes, included elsewhere, iii) No. \nElements in national policies to address health inequities and social determinants of health: Since there are multiple approaches or measures to address health inequities or social determinants of health, another aspect in the assessment included the various elements existing in the national health policies and strategies to deal with them, i.e. Healthy workplace, Healthy start in life, Poverty, Environment, Disadvantaged groups, Universal health coverage, Human rights, Others. ","WHO Health 2020","C",{"$f":"COUNTIF(L2483:BB2483,\">0\")","v":1},"WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,null,"Existence of policies and strategies to address health inequalities and social determinants of health: \nA specific aim of the indicator is to capture whether health inequities and social determinants of health are addressed in one form or another, in accordance with the strategic goals of Health 2020. Replies options: i) Yes, stand-alone, ii) Yes, included elsewhere, iii) No. \nElements in national policies to address health inequities and social determinants of health: Since there are multiple approaches or measures to address health inequities or social determinants of health, another aspect in the assessment included the various elements existing in the national health policies and strategies to deal with them, i.e. Healthy workplace, Healthy start in life, Poverty, Environment, Disadvantaged groups, Universal health coverage, Human rights, Others. ",null,null,null,"Direct reporting by Member States through the annual report of the WHO Regional Director for Europe"]
[360,"e1","(18) 6.1.a",20,"s","Establishment of process for target-setting documented (mode of documenting to be decided by individual Member States)","Existence of national or subnational processes of target - setting for health and well-being.\nAn aim of the Health 2020 regional monitoring is to determine how countries have progressed towards establishing national goals, targets and specific indicators to monitor their advance in achieving the Health 2020 vision. Response options to this questions are: i) Targets defined, ii) Indicators defined, iii) Not but planned for the future, iv) Not and not planned for the future. ","WHO Health 2020","C",{"$f":"COUNTIF(L2484:BB2484,\">0\")","v":1},"WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,null,"Existence of national or subnational processes of target - setting for health and well-being.\nAn aim of the Health 2020 regional monitoring is to determine how countries have progressed towards establishing national goals, targets and specific indicators to monitor their advance in achieving the Health 2020 vision. Response options to this questions are: i) Targets defined, ii) Indicators defined, iii) Not but planned for the future, iv) Not and not planned for the future. ",null,null,null,"Direct reporting by Member States through the annual report of the WHO Regional Director for Europe","nA","http://portal.euro.who.int/en/indicators/h2020-indicators/h2020_31-national-target-setting/"]
[361,"e1",19,20,"s","Evidence documenting: (a) establishment of national policies aligned with Health 2020; (b) implementation plan; (c) accountability mechanism (mode of ‘documentation’ to be decided by individual Member States)","As Member States in the WHO European Region develop policies and strategies to improve health and well-being, it is important to know whether these national policies are aligned with the Health 2020 vision. The alignment means having a comprehensive national health policy or another strategy, including improving universal health coverage, reducing the major causes of the burden of disease, addressing major health determinants of health and well-being and strengthening health systems.","WHO Health 2020","C",{"$f":"COUNTIF(L2485:BB2485,\">0\")","v":1},"WHO Regional Office for Europe (2015) The European Health Report 2015: Targets and beyond – reaching new frontiers in evidence, Denmark. \nhttp://www.euro.who.int/__data/assets/pdf_file/0009/251775/Health-2020-Targets-and-indicators-version2-ENG.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,null,"As Member States in the WHO European Region develop policies and strategies to improve health and well-being, it is important to know whether these national policies are aligned with the Health 2020 vision. The alignment means having a comprehensive national health policy or another strategy, including improving universal health coverage, reducing the major causes of the burden of disease, addressing major health determinants of health and well-being and strengthening health systems.",null,null,null,"Direct reporting by Member States through the annual report of the WHO Regional Director for Europe","nA"]
[null,null,null,20,"c","Policy analysis and interviews with policy-makers and health system stakeholders","nA","Portugal HSPA (2010)","E",null,"World Health Organization Regional Office for Europe., & Ministry of Health of Portugal. (2010). Portugal health system performance assessment 2010. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/131766/E94518.pdf",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,null,null,null,null,null,null,null,null,null,"nA",null,"Non-financial sustainability: Are health information resources sufficient to enable evidence-based policy-making and health system planning?"]
[null,null,"nA",20,"nr/e","Fiscal sustainability indicators and contributions from health and long-term care, medium term sustainability indicator (S1)","The S1 indicator is defined as the constant annual improvement in the ratio of structural primary balance to GDP, from year t_0 + 1 up to year t_1, that is required to bring the debt ratio to a given level by year t_2. In addition to accounting for the need to adjust the initial intertemporal budgetary position and the debt level, it incorporates financing for any additional expenditure until the target date arising from an ageing population.","EU Semester thematic fiche Health 2015 (DG-ECFIN)","A",null,"EC, Europe 2020 (2015) European Semester Thematic Fiche: Health and Health Systems, from http://ec.europa.eu/europe2020/pdf/themes/2015/health-and-health-systems.pdf",0,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"The S1 indicator is defined as the constant annual improvement in the ratio of structural primary balance to GDP, from year t_0 + 1 up to year t_1, that is required to bring the debt ratio to a given level by year t_2. In addition to accounting for the need to adjust the initial intertemporal budgetary position and the debt level, it incorporates financing for any additional expenditure until the target date arising from an ageing population."]
[null,null,"nA",20,"nr/e","Fiscal sustainability indicators and contributions from health and long-term care, long-term sustainability indicator (S2)","In contrast to S1 indicator, the S2 indicator is defined as an immediate and permanent one-off fiscal adjustment that ensures that the intertemporal government budget constraint (IBC) is met. This indicator is appropriate for assessing long-term fiscal sustainability in the face of ageing costs. Note that the derivation of S2 does not assume that either the initial sequence of primary balances or the fixed annual incrase (S2) are optimal according to some criterion. S2 should be considered as a benchmark and not as a policy recommendation or as a measure of the actual adjustment needed in any particular year. ","EU Semester thematic fiche Health 2015 (DG-ECFIN)","A",null,"EC, Europe 2020 (2015) European Semester Thematic Fiche: Health and Health Systems, from http://ec.europa.eu/europe2020/pdf/themes/2015/health-and-health-systems.pdf",0,null,null,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"In contrast to S1 indicator, the S2 indicator is defined as an immediate and permanent one-off fiscal adjustment that ensures that the intertemporal government budget constraint (IBC) is met. This indicator is appropriate for assessing long-term fiscal sustainability in the face of ageing costs. Note that the derivation of S2 does not assume that either the initial sequence of primary balances or the fixed annual incrase (S2) are optimal according to some criterion. S2 should be considered as a benchmark and not as a policy recommendation or as a measure of the actual adjustment needed in any particular year. "]
[null,null,"RA1",20,"nr/e","Risk Adjuster: Elixhauser's comorbidities (EC)","ECHO uses the well-known Elixhauser method to classify comorbidities. Using administrative data, this approach allows risk-adjustment for up to 30 comorbidities. Depending on the indicator of interest, all or some of those 30 conditions can be used without jeopardizing validity. ECHO has used tailored modelling for each hospital-specific indicator","ECHO","A",null,"ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"ECHO uses the well-known Elixhauser method to classify comorbidities. Using administrative data, this approach allows risk-adjustment for up to 30 comorbidities. Depending on the indicator of interest, all or some of those 30 conditions can be used without jeopardizing validity. ECHO has used tailored modelling for each hospital-specific indicator"," AIDS/HIV\n\nAlcohol abuse\n\nDeficiency anemia\n\nCardiac arrhythmias\n\nRheumatoid arthritis/collagen vascular diseases\n\nBlood loss anemia\n\nCongestive heart failure\n\nChronic lung disease\n\nCoagulopathy\n\nDepression\n\nDiabetes, without chronic complications\n\nDiabetes, with chronic complication\n\nDrugs abuse\n\nHypertension, uncomplicated\n\nHypertension, complicated\n\nHypothyroidism\n\nLiver disease\n\nLymphoma\n\nFluid and electrolyte disorders\n\nMetastatic cancer\n\nOther neurological disorders\n\nObesity\n\nParalysis\n\nPeripheral vascular disorders\n\nPsychoses\n\nPulmonary circulation disorders\n\nRenal failure\n\nSolid tumor without metastasis\n\nPeptic ulcer disease excluding bleeding\n\nValvular disease\n\nWeight loss ",null,null,"http://www.echo-health.eu/handbook/RISK_ELIX.html"]
[null,null,"RA2",20,"nr/e","Risk Adjuster: Cardiovascular Severity ","CABG risk adjustment variable. Procedure codes for implantation of heart and circulatory assist system(s)\n\nCABG risk adjustment variable. Procedure codes for major heart structure surgery. Includes repair of atrial and ventricular septa, revision of such procedures, cardiotomy and pericardiotomy, pericardiectomy and excision of lesion of heart\n\nCABG risk adjustment variable. Procedure codes for valvular surgery: includes open and closed valvuloplasty and replacement\n\nCABG, PTCA and ischaemic disease risk adjustment variable. Diagnosis codes for ST elevation myocardial infarction\n\nCABG, PTCA and ischaemic disease risk adjustment variable. Diagnosis codes for non-ST elevation myocardial infarction (subendocardial)","ECHO","A",null,"ECHO, European Collaboration for Healthcare Optimization (2014) Zaragoza (Spain): Instituto Aragonés de Ciencias de la Salud- Instituto Investigación Sanitaria Aragón; c2011. ECHO consortium. Handbook on methodology; 2014 Apr 27; from: http://www.echo-health.eu/handbook/CV_CID.html",0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null," CABG risk adjustment variable. Procedure codes for implantation of heart and circulatory assist system(s)\n\nCABG risk adjustment variable. Procedure codes for major heart structure surgery. Includes repair of atrial and ventricular septa, revision of such procedures, cardiotomy and pericardiotomy, pericardiectomy and excision of lesion of heart\n\nCABG risk adjustment variable. Procedure codes for valvular surgery: includes open and closed valvuloplasty and replacement\n\nCABG, PTCA and ischaemic disease risk adjustment variable. Diagnosis codes for ST elevation myocardial infarction\n\nCABG, PTCA and ischaemic disease risk adjustment variable. Diagnosis codes for non-ST elevation myocardial infarction (subendocardial)",null,null,null,"http://www.echo-health.eu/handbook/RISK_CV.html"]