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DEA-Like Efficiency Ranking of Regional Health Systems in Spain

Author

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  • Marianela Carrillo

    (Universidad de La Laguna)

  • Jesús M. Jorge

    (Universidad de La Laguna)

Abstract

The last decades have witnessed an increasing international concern in assessing how efficiently health care resources are used in producing health. At a country level, comparing the efficiency of regional health systems and ranking the regions accordingly promotes transparency policies and represents an important incentive for the design and implementation of specific programs aimed at improving the quality of health care services within the country. The use of data envelopment analysis (DEA) as a tool for efficiency analysis in the health sector is well-established, but its use with a ranking purpose is discouraged due to lack of discrimination and comparability issues. Using data from the competent health authority in Spain, the purpose of this study is to assess the efficiency of the regional health systems in Spain and identify those regions that are using their health care inputs more efficiently than others, given the observed level of health outcomes. To this aim, a DEA-based model that operates under a common weights basis is used in order to improve discrimination and establish a common scale for a proper comparison of the regional health systems in Spain that can be subsequently ranked by their efficiency score.

Suggested Citation

  • Marianela Carrillo & Jesús M. Jorge, 2017. "DEA-Like Efficiency Ranking of Regional Health Systems in Spain," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(3), pages 1133-1149, September.
    • Handle: RePEc:spr:soinre:v:133:y:2017:i:3:d:10.1007_s11205-016-1398-y
    DOI: 10.1007/s11205-016-1398-y
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    1. Sharon Hadad & Yossi Hadad & Tzahit Simon-Tuval, 2013. "Determinants of healthcare system’s efficiency in OECD countries," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(2), pages 253-265, April.
    2. Jacobs,Rowena & Smith,Peter C. & Street,Andrew, 2006. "Measuring Efficiency in Health Care," Cambridge Books, Cambridge University Press, number 9780521851442.
    3. Pablo Cos & Enrique Moral-Benito, 2014. "Determinants of health-system efficiency: evidence from OECD countries," International Journal of Health Economics and Management, Springer, vol. 14(1), pages 69-93, March.
    4. Afonso, Antonio & St. Aubyn, Miguel, 2005. "Non-Parametric Approaches to Education and Health Efficiency in OECD Countries," Journal of Applied Economics, Universidad del CEMA, vol. 8(2), pages 1-20, November.
    5. O'Neill, Liam & Rauner, Marion & Heidenberger, Kurt & Kraus, Markus, 2008. "A cross-national comparison and taxonomy of DEA-based hospital efficiency studies," Socio-Economic Planning Sciences, Elsevier, vol. 42(3), pages 158-189, September.
    6. Roll, Y & Golany, B., 1993. "Alternate methods of treating factor weights in DEA," Omega, Elsevier, vol. 21(1), pages 99-109, January.
    7. Bruce Hollingsworth, 2008. "The measurement of efficiency and productivity of health care delivery," Health Economics, John Wiley & Sons, Ltd., vol. 17(10), pages 1107-1128, October.
    8. Lidia Angulo-Meza & Marcos Lins, 2002. "Review of Methods for Increasing Discrimination in Data Envelopment Analysis," Annals of Operations Research, Springer, vol. 116(1), pages 225-242, October.
    9. Sinuany-Stern, Zilla & Friedman, Lea, 1998. "DEA and the discriminant analysis of ratios for ranking units," European Journal of Operational Research, Elsevier, vol. 111(3), pages 470-478, December.
    10. Adler, Nicole & Friedman, Lea & Sinuany-Stern, Zilla, 2002. "Review of ranking methods in the data envelopment analysis context," European Journal of Operational Research, Elsevier, vol. 140(2), pages 249-265, July.
    11. Y-W Chen & M Larbani & Y-P Chang, 2009. "Multiobjective data envelopment analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(11), pages 1556-1566, November.
    12. Vasanthakumar Bhat, 2005. "Institutional arrangements and efficiency of health care delivery systems," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 6(3), pages 215-222, September.
    13. Retzlaff-Roberts, Donna & Chang, Cyril F. & Rubin, Rose M., 2004. "Technical efficiency in the use of health care resources: a comparison of OECD countries," Health Policy, Elsevier, vol. 69(1), pages 55-72, July.
    14. Dyson, R. G. & Allen, R. & Camanho, A. S. & Podinovski, V. V. & Sarrico, C. S. & Shale, E. A., 2001. "Pitfalls and protocols in DEA," European Journal of Operational Research, Elsevier, vol. 132(2), pages 245-259, July.
    15. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    16. C Kao & H-T Hung, 2005. "Data envelopment analysis with common weights: the compromise solution approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(10), pages 1196-1203, October.
    17. Jean Spinks & Bruce Hollingsworth, 2009. "Cross-country comparisons of technical efficiency of health production: a demonstration of pitfalls," Applied Economics, Taylor & Francis Journals, vol. 41(4), pages 417-427.
    18. D K Despotis, 2002. "Improving the discriminating power of DEA: focus on globally efficient units," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(3), pages 314-323, March.
    19. Emrouznejad, Ali & Parker, Barnett R. & Tavares, Gabriel, 2008. "Evaluation of research in efficiency and productivity: A survey and analysis of the first 30 years of scholarly literature in DEA," Socio-Economic Planning Sciences, Elsevier, vol. 42(3), pages 151-157, September.
    20. M Zohrehbandian & A Makui & A Alinezhad, 2010. "A compromise solution approach for finding common weights in DEA: an improvement to Kao and Hung's approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(4), pages 604-610, April.
    21. Vinish Kathuria & Deepa Sankar, 2005. "Inter-State Disparities in Health Outcomes in Rural India: An Analysis Using a Stochastic Production Frontier Approach," Development Policy Review, Overseas Development Institute, vol. 23(2), pages 145-163, March.
    22. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, September.
    23. Mariano, Enzo Barberio & Sobreiro, Vinicius Amorim & Rebelatto, Daisy Aparecida do Nascimento, 2015. "Human development and data envelopment analysis: A structured literature review," Omega, Elsevier, vol. 54(C), pages 33-49.
    24. Antonio Afonso & Miguel St. Aubyn, 2011. "Assessing health efficiency across countries with a two-step and bootstrap analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 18(15), pages 1427-1430.
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    Cited by:

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    2. Mustapha D. Ibrahim & Sahand Daneshvar & Mevhibe B. Hocaoğlu & Olasehinde-Williams G. Oluseye, 2019. "An Estimation of the Efficiency and Productivity of Healthcare Systems in Sub-Saharan Africa: Health-Centred Millennium Development Goal-Based Evidence," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(1), pages 371-389, May.
    3. Margit Sommersguter-Reichmann, 2022. "Health care quality in nonparametric efficiency studies: a review," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(1), pages 67-131, March.
    4. Kok Fong See & Siew Hwa Yen, 2018. "Does happiness matter to health system efficiency? A performance analysis," Health Economics Review, Springer, vol. 8(1), pages 1-10, December.
    5. Rita Matos & Diogo Ferreira & Maria Isabel Pedro, 2021. "Economic Analysis of Portuguese Public Hospitals Through the Construction of Quality, Efficiency, Access, and Financial Related Composite Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 157(1), pages 361-392, August.

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