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The Relationship Between Health Outcomes and Health Expenditure in Europe by Using Compositional Data Analysis

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Warianty tytułu
PL
Związek między stanem zdrowia a wydatkami na zdrowie w krajach Europy, w oparciu o analizę danych złożonych
Języki publikacji
EN
Abstrakty
EN
The type of health system in each country and the resources devoted to it determine its outcomes. Relationships between ratios of expenditure to Gross Domestic Product (GDP) classified by provider and indicators reflecting health outcomes in 2015 are examined for 30 countries by means of a compositional data analysis and a regression analysis. The countries in the sample are the European Union (EU-28) countries plus Iceland and Norway. The outcome indicators used are life expectancy at birth (LE); healthy life years in absolute value at birth for females (HLYf) and for males (HLYm); and death rate due to chronic diseases (DR) (response variables). The results indicate that the higher the ratio of expenditure on retailers and other providers of medical goods in relation to other types of expenditure in the composition, the higher the DR indicator and the lower the LE indicator. The ratio of expenditure on residential long-term care facilities in the composition seems to have had a positive effect on both HLY indicators. The effect of expenditure ratios on providers of healthcare system administration and financing is not straightforward.
PL
Rodzaj systemu opieki zdrowotnej w każdym kraju i środki na niego przeznaczone determinują jego skuteczność. W tej pracy zbadano zależności między stosunkami wydatków do produktu krajowego brutto (PKB), a wskaźnikami odzwierciedlającymi wyniki zdrowotne w 2015 r. w 30 krajach za pomocą analizy danych złożonych (CoDA) i analizy regresji. To kraje Unii Europejskiej (UE-28) oraz Islandia i Norwegia. Stosowanymi wskaźnikami wyników są: oczekiwana długość życia w chwili urodzenia (LE); lata zdrowego życia w wartości bezwzględnej przy urodzeniu dla kobiet (HLYf) i dla mężczyzn (HLYm); oraz wskaźnik zgonów z powodu chorób przewlekłych (DR). Wyniki wskazują, że im wyższy stosunek wydatków na zdrowie w stosunku do innych rodzajów wydatków, tym wyższy wskaźnik DR i niższy wskaźnik LE. Stosunek wydatków na placówki długoterminowej opieki zdrowotnej miał pozytywny wpływ na oba wskaźniki HLY. Natomiast wpływ wskaźników wydatków na zarządców systemu opieki zdrowotnej i jego finansowania nie jest jednoznaczny.
Czasopismo
Rocznik
Strony
99--110
Opis fizyczny
Bibliogr. 29 poz., fig., tab.
Twórcy
  • Technical University of Ostrava, Slovakia
  • Vienna University of Technology, Austria
Bibliografia
  • 1. AITCHISON J. 1986, The Statistical Analysis of Compositional Data, Chapman & Hall, London.
  • 2. BALTAGI B., MOSCONE F., 2010, Health Care Expenditure and Income in the OECD Reconsidered: Evidence from Panel Data, IZA Discussion Paper, paper #4851.
  • 3. BLACKWOOD R., CURRIE C., 2009, 2016, Study design for assessing effectiveness, efficiency and acceptability of services including measures of structure, process, service quality, and outcome of health care, https:// www.healthknow ledge.org.uk/public-health-textbook/research-methods/1c-health-care-evaluation-health-care-assessment/study-design-assessing-effectiveness (18.09.2019).
  • 4. BERGMAN Z., BERGMAN M. M., FERNANDES K., GROSSRIEDER D., SCHNEIDER L., 2018, The Contribution of UNESCO Chairs toward Achie-ving the UN Sustainable Development Goals, in: Sustainability, 10(12), DOI:10.3390/su10124471.
  • 5. CYLUS J. PAPANICOLAS I., SMITH P. C., 2016, Health system efficiency How to make measurement matter for policy and management, in: Health Policy Series, 46, 242 p.
  • 6. DRASTICHOVA M., 2018a, The Theory and Measurement of Sustainable Development, 3rd ed.; SAEI, 52. VSBTU Ostrava: Ostrava, Czechia, 420 p.
  • 7. DRASTICHOVA M., 2018b, Evaluation of Selected Indicators in the Social Dimension of Sustainable Development, in: Proceedings of the 12th International Scientific Conference INPROFORUM 2018 Innovations, Enterprises, Regions and Management, Jihočeská univerzita v Českých Budějovicích, České Budějovice, p. 182-190.
  • 8. DRASTICHOVA M., FILZMOSER P., 2019, Assessment of Sustainable Development Using Cluster Analysis and Principal Component Analysis, in: Problemy Ekorozwoju/ Problems of Sustainable Development, 14(2), p. 7- 24.
  • 9. ELOLA J., DAPONTE A., NAVARRO V., 1995, Health Indicators and the Organization of Health Care Systems in Western Europe, in: Am J Public Health, 85(10), p. 1397- 1401.
  • 10. European Commission, Next steps for a sustainable European future. European action for sustainability, Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions, COM(2016) 739 final.
  • 11. Eurostat, 2019a, Eurostat Database, https://ec.europa.eu/eurostat/data/database (10.09.2019).
  • 12. Eurostat, 2019b, Health care expenditure (SHA 2011) (hlth_sha11) (2019b)., https://ec.europa.eu/ eurostat/ cache/metadata/en/hlth_sha11_esms.htm (18.09.2019).
  • 13. FISEROVA E., HRON K., 2011, On interpretation of orthonormal coordinates for compositional data, in: Mathematical Geosciences 43(4), p. 455-468, DOI: 10.1007/s11004-011-9333-x.
  • 14. FILZMOSER P., HRON K., TEMPL M., 2018, Applied Compositional Data Analysis. With Worked Examples, in: R. Springer Series in Statistics, Springer Nature Switzerland AG, Cham, 292 p.
  • 15. GALLET C.A., DOUCOULIAGOS H., 2017, The impact of healthcare spending on health outcomes: A metaregression analysis, in: Social Science & Medicine,179, p. 9-17.
  • 16. GOLDACRE M., 1996, Health outcomes from a medical perspective, in: Health Outcomes: Biological, Social, and Economic Perspectives, ed. Macbeth H.M., Oxford University Press, Oxford.
  • 17. HRON K., FILZMOSER P., THOMPSON K., 2012, Linear regression with compositional explanatory variables, in: Journal of Applied Statistics, 39, p. 1115-1128.
  • 18. JABA E., BALANA C.B, ROBUA I.-B., 2014, The relationship between life expectancy at birth and health expenditures estimated by a cross-country and time-series analysis, in: Procedia Economics and Finance, 15, p. 108- 114.
  • 19. LINDEN M., RAY D., 2017, Life expectancy effects of public and private health expenditures in OECD countries 1970-2012: Panel time series approach, in: Economic Analysis and Policy, 56, p. 101-113.
  • 20. LV Z., XU T., 2016, Does intelligence affect health care expenditure? Evidence from a cross-country analysis, in: Intelligence, 55, p. 86-89.
  • 21. MARONNA R.A., DOUGLAS R.D., YOHAI V.J., 2006, Robust Statistics: Theory and Methods, John Wiley & Sons, Ltd., Chichester.
  • 22. MEGYESIOVA S., LIESKOVSKA V., 2018, Analysis of the Sustainable Development Indicators in the OECD Countries, in: Sustainability, 10, DOI:10.3390/su10124554.
  • 23. NIXON J., ULMANN P., 2006, The relationship between health care expenditure and health outcomes, in: The European Journal of Health Economics, 7(1), p. 7-18.
  • 24. OR Z., 2000, Determinants of health outcomes in industrialised countries: a pooled cross-country, time-series analysis, in: OECD Economic Studies, 30(1), p. 53-77.
  • 25. RAMESH M., MIRMIRANI S., 2007, An Assessment of OECD Health Care System Using Panel Data Analysis, in: Southwest Business & Economics Journal,16, p. 21-35.
  • 26. SMITH P., 1990, The Use of Performance Indicators in the Public Sector, in: Journal of the Royal Statistical Society Series A, 153(1), p. 53-72, DOI: 10.2307/2983096.
  • 27. SUCHACEK J., WALANCIK M., WRÓBLEWSKI L., URMINSKY J., DRASTICHOVA M., SOTKOVSKY I., 2018, Management of municipal development of Euroregion Beskydy in Poland and Czechia, in: Polish Journal of Management Studies, 18(1), p. 365-378.
  • 28. United Nations, European Commission, International Monetary Fund, OECD, World Bank, 2003, Handbook of National Accounting. Integrated Environmental and Economic Accounting 2003, in: Studies in Methods, Series F, 61(1). (ST/ESA/STAT/ SER.F/61/Rev.1).
  • 29. WCED, 1987, Our common future. Oxford University Press, Oxford, New York.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-34f68c02-ad73-4232-90dd-7c70d84ed72e
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