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Health System Efficiency: A Fragmented Picture Based on OECD Data

Author

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  • Andreas Behr

    (University of Duisburg-Essen)

  • Katja Theune

    (University of Duisburg-Essen)

Abstract

Background Globally, health expenditure as a percentage of GDP has increased in recent years, so evaluating the health care systems used in different countries is an important tool for identifying best practices and improving inefficient health care systems. Objective We investigate health system efficiency at the country level based on OECD health data. We focus on several aspects of health care systems to identify specific inefficiencies within them. This information hints at potential policy interventions that could improve specific parts of a country’s health care system. Methods A discussion is provided of ideal-typical evaluations of health systems, ignoring data restrictions, which provide the theoretical basis for an analysis performed under factual data restrictions. This investigation includes health care systems in 34 countries and is based on OECD health data. Health care system efficiency scores are obtained using data envelopment analysis (DEA). Relative productivity measures are calculated based on average DEA prices. Given the severe data limitations involved, instead of performing an all-encompassing analysis of each health care system, we focus on several aspects of each system, performing five partial analyses. Results For each country, the efficiencies yielded by the five partial analyses varied considerably, resulting in an ambiguous picture of the efficiencies of the various health care systems considered. A synopsis providing comprehensive rankings of the analyzed countries is provided. Conclusion Analysis of several aspects of the health care systems considered here highlights potential improvements in specific areas of these systems, thereby providing information for policymakers on where to focus when aiming to improve a country’s health care system.

Suggested Citation

  • Andreas Behr & Katja Theune, 2017. "Health System Efficiency: A Fragmented Picture Based on OECD Data," PharmacoEconomics - Open, Springer, vol. 1(3), pages 203-221, September.
    • Handle: RePEc:spr:pharmo:v:1:y:2017:i:3:d:10.1007_s41669-017-0010-y
    DOI: 10.1007/s41669-017-0010-y
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    References listed on IDEAS

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    Cited by:

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    3. Vo, Vinh & Chen, Gang & Aquino, Yves Saint James & Carter, Stacy M. & Do, Quynh Nga & Woode, Maame Esi, 2023. "Multi-stakeholder preferences for the use of artificial intelligence in healthcare: A systematic review and thematic analysis," Social Science & Medicine, Elsevier, vol. 338(C).
    4. Halmosi, Péter & Aranyossy, Márta, 2024. "Exploring macro-environmental catalysts and barriers of healthcare 4.0 transformation in Central-Eastern European countries: A comprehensive study in Hungary," Technology in Society, Elsevier, vol. 78(C).
    5. Şeremet, Gülizar Gülcan & Konca, Murat, 2024. "Technical efficiency and its determinants in healthcare systems of underdeveloped countries," Evaluation and Program Planning, Elsevier, vol. 107(C).
    6. Saba Madaeen & Mohammad Adeinat, 2018. "The Health Sector in Jordan: Effectiveness and Efficiency," Modern Applied Science, Canadian Center of Science and Education, vol. 12(12), pages 234-234, December.
    7. Santos, João Vasco & Martins, Filipa Santos & Pestana, Joana & Souza, Júlio & Freitas, Alberto & Cylus, Jonathan, 2023. "Should we adjust health expenditure for age structure on health systems efficiency? A worldwide analysis," LSE Research Online Documents on Economics 118298, London School of Economics and Political Science, LSE Library.
    8. Gökçe Manavgat & Martine Audibert, 2024. "Healthcare system efficiency and drivers: Re-evaluation of OECD countries for COVID-19," Post-Print hal-04350906, HAL.

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