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Comparing efficiency of health systems across industrialized countries: a panel analysis
Bianca K Frogner1, H E Frech2, Stephen T Parente3
1Department of Family Medicine, School of Medicine, University of Washington, 4311 11th Ave. NE, Suite 210, Box 354982, Seattle, WA, 98195, USA. bfrogner@uw.edu.
US healthcare system rankings are not robust. Using advanced statistical models and OECD data, this study found rankings vary significantly, highlighting the need for diverse methodologies in international comparisons.
Area of Science:
- Health economics
- Comparative health systems analysis
- Econometrics
Background:
- Previous World Health Organization (WHO) rankings suggested the US health care system is inefficient compared to other Organization for Economic Cooperation and Development (OECD) countries.
- Methodological concerns, including simplistic approaches and poor variable selection, have previously been raised regarding these rankings.
- A re-evaluation using updated modeling techniques and comprehensive OECD data is warranted.
Purpose of the Study:
- To re-examine the efficiency rankings of the US health care system within the OECD.
- To assess the robustness of health system rankings using advanced statistical modeling.
- To explore the impact of different methodologies and variable choices on efficiency assessments.
Main Methods:
- Utilized OECD Health Data for 25 member countries.
- Compared results from stochastic frontier analysis (SFA) and fixed effects models.
- Estimated total life expectancy and life expectancy at age 60, incorporating health resources, behaviors, and economic/environmental factors.
Main Results:
- The US ranking consistently fell within the top five across 36 models, but never achieved the highest position.
- Stochastic frontier analysis (SFA) identified a consistent leading country, though overall country rankings lacked stability.
- The US healthcare system's efficiency ranking was not consistently at the bottom but showed variability.
Conclusions:
- Health system rankings are fragile and sensitive to the statistical methodologies employed.
- Rankings are not robust to variations in variable inclusion or different analytical approaches.
- Future international comparisons should utilize a diverse range of methodologies for a more accurate assessment of health system efficiency.
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