Measurement of Healthcare System Efficiency in OECD Countries

• Autorzy: Justyna Kujawska
• Języki publikacji: EN

Abstrakty

EN

Increased spending on healthcare systems in many countries tends to attract attention to their efficiency. The aim of this paper is to evaluate the efficiency of healthcare systems in the OECD countries and indicate causes of inefficiency by applying Data Envelopment Analysis (DEA) and using additive and super-efficiency models. The homogeneity of the sample is assessed and outliers are excluded. A ranking is established on the basis of efficiency scores. By means of DEA, fully efficient units are identified, forming a reference set (of best practice) for inefficient countries to follow.(original abstract)

Słowa kluczowe

EN

Health care; Data analysis; Management efficiency

PL

Opieka zdrowotna; Analiza danych; Sprawność zarządzania

• Czasopismo: Metody Ilościowe w Badaniach Ekonomicznych / Szkoła Główna Gospodarstwa Wiejskiego
• Rocznik: 2015
• Tom: 16(XVI)
• Numer: nr 2
• Strony: 23--32

Twórcy

autor

Justyna Kujawska

• Gdańsk University of Technology

Bibliografia

• Afonso A., Aubyn M.St. (2005) Non-parametric approaches to education and health efficiency in OECD countries, Journal of Applied Economics, Vol. VIII, No. 2, pp. 227-246.
• Anell A., Willis M. (2000) International comparison of health care systems using resource profiles, Bulletin of the World Health Organization, Vol. 78, No. 6, pp. 770-778.
• Bellini T. (2012) Forward search outlier detection in data envelopment analysis, European Journal of Operational Research, Vol. 216, Issue 1, pp. 200-207.
• Ben-Gal. I. (2010) Outlier detection, in: Maimon O., Rockach L. (eds.) (2010) Data Mining and Knowledge Discovery Handbook, Springer, New York.
• Charnes A., Cooper W.W., Rhodes E. (1978) Measuring the efficiency of decision making units, European Journal of Operational Research, Vol. 2, Issue 6, pp. 429-444.
• Cooper W.W., Seiford L.M., Tone K. (2000) Data Envelopment Analysis, A Comprehensive Text with Models, Applications, References and DEA-Solver Software, Kluwer Academic Publishers, Boston/Dordrecht/London.
• Cooper W.W., Seiford L.M., Zhu J.Z. (2011) Handbook on Data Envelopment Analysis, Springer, New York, Dordrecht, Heildelberg, London.
• González E., Cárcaba A., Ventura J. (2010) Value efficiency analysis of health systems: does public financing play a role?, Journal of Public Health, Vol. 18, pp. 337-350.
• Guzik B. (2009) Podstawowe modele DEA w badaniu efektywności gospodarczej i społecznej, Wydawnictwo Uniwersytetu Ekonomicznego w Poznaniu, Poznań.
• Haas D.A., Murphy F.H. (2003) Compensating for non-homogeneity in decision-making units in data envelopment analysis, European Journal of Operational Research, Vol. 144, No 3, pp. 530-544.
• Hadad S., Hadad Y., Simon-Tuval T. (2013) Determinants of healthcare system's efficiency in OECD countries, European Journal of Health Economics, Vol. 14, Issue 2, pp. 253-265.
• Hsu Y.C. (2014) Efficiency in government health spending: a super slacks-based model, Quality and Quantity Journal, Vol. 48, Issue 1, pp. 111-126.
• Liu J.S., Lu L.Y.Y, Lin B.J.Y. (2013 a) Data envelopment analysis 1978-2010: A citation based literature survey, Omega-International Journal of Management Science, Vol. 41, Issue 1, pp. 3-15.
• Liu J.S., Lu L.Y.Y., Lu W.M., Lin B.J.Y. (2013 b) A survey of DEA applications, Omega- International Journal of Management Science, Vol. 41, Issue 5, pp. 893-902.
• Mogha S.K., Yadav S.P., Singh S.P. (2014) New slack model based efficiency assessment of public sector hospitals of Uttarakhand: state of India, International Journal of System Assurance Engineering and Management, Vol. 5, Issue 1, pp. 32-42.
• OECD (2011) Health at a Glance 2011: OECD Indicators, OECD Publishing. http://dx.doi.org/10.1787/health_glance-2011-en, p. 130, accessed 10 May 2013.
• OECD Health Data (2012) Frequently Requested Data, http://www.oecd.org/health/health systems/oecdhealthdata2012-frequentlyrequesteddata.htm, accessed 20 March 2013.
• Ozcan Y.A. (2008) Health care benchmarking and performance evaluation. An assessment using Data Envelopment Analysis (DEA), Springer, New York.
• Retzlaff-Roberts D., Chang C.F., Rubin R. M. (2004) Technical efficiency in the use of health care resources: a comparison of OECD countries, Health Policy, Vol. 69, Issue 1, pp. 55-72.
• Zanboori E., Rostamy-Malkhalifeh M., Jahanshahloo G.R., Shoja N. (2014) Calculating Super Efficiency of DMUs for Ranking Units in Data Envelopment Analysis Based on SBM Model, The Scientific World Journal, Vol. 2014, Article ID 382390.
• Zhu J., Cook W.D. (2007) Modelling data irregularities and structural complexities in Data Envelopment Analysis, Springer, New York.