ArticleHealthcare (Basel, Switzerland)2021
Evaluation of the Efficiency of European Health Systems Using Fuzzy Data Envelopment Analysis.
Article in Healthcare (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Healthcare Expenditure and Health System Efficiency in 25 European Countries: A Multidimensional Data Envelopment Analysis with Bootstrap Correction and Second-Stage Regression.Epidemiologia (Basel, Switzerland) · 2026Article
- [Efficiency after integrating a hospital with a 'new management model'].Anales del sistema sanitario de Navarra · 2026Article
- Three decades in healthcare service efficiency evaluation: a bootstrapping Data Envelopment Analysis (DEA) of Ministry of Health Malaysia.Health economics review · 2025Article
- An assessment of economy- and transport-oriented health performance.Health economics review · 2024Article
- Performance Evaluation of Hospitals under Data Uncertainty: An Uncertain Common-Weights Data Envelopment Analysis.Healthcare (Basel, Switzerland) · 2024Article
- Optimal scale sizes and average-profit efficiency under uncertainty: A chance-constrained DEA approach.PloS one · 2024Article
- Dynamic Performance Assessment of Hospitals by Applying Credibility-Based Fuzzy Window Data Envelopment Analysis.Healthcare (Basel, Switzerland) · 2022Article
- A Review on the 40 Years of Existence of Data Envelopment Analysis Models: Historic Development and Current Trends.Archives of computational methods in engineering : state of the art reviews · 2022Review
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Authors and funding
4 authors.
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Abstract
Many studies that assess efficiency in health systems are based on output mean values. That approach ignores the representativeness of the average statistic, which can become a serious problem in estimation. To solve this question, this research contributes in three different ways: the first aim is to evaluate the technical efficiency in the management of European health systems considering a set of DEA (Data Envelopment Analysis) and FDEA (Fuzzy Data Envelopment Analysis) models. A second goal is to assess the bias in the estimation of efficiency when applying the conventional DEA. The third objective is the evaluation of the statistical relationship between the bias in the efficiency estimation and the macroeconomic variables (income inequality and economic freedom). The main results show positive correlations between DEA and FDEA scores. Notwithstanding traditional DEA models overestimate efficiency scores. Furthermore, the size of the bias is positively related to income inequality and negative with economic freedom in the countries evaluated.
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