Research Article
Performance Evaluation of Healthcare Systems Using Data Envelopment Analysis
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@INPROCEEDINGS{10.1007/978-3-030-87495-7_11, author={Itzel Viridiana Gonz\^{a}lez-Badillo and Zaida Estefan\^{\i}a Alarc\^{o}n-Bernal}, title={Performance Evaluation of Healthcare Systems Using Data Envelopment Analysis}, proceedings={Computer Science and Engineering in Health Services. 5th EAI International Conference, COMPSE 2021, Virtual Event, July 29, 2021, Proceedings}, proceedings_a={COMPSE}, year={2021}, month={9}, keywords={Linear programming Health care logistics Operations research}, doi={10.1007/978-3-030-87495-7_11} }- Itzel Viridiana González-Badillo
Zaida Estefanía Alarcón-Bernal
Year: 2021
Performance Evaluation of Healthcare Systems Using Data Envelopment Analysis
COMPSE
Springer
DOI: 10.1007/978-3-030-87495-7_11
Abstract
This paper studies the context of 39 different countries’ healthcare systems up to 2019 by applying the output-oriented variable return-to-scale model (VRS) of data envelopment analysis. 4 input variables (health expenditure per capita and beds, physicians, and nurses per thousand people) should result in the best 4 output results (life expectancy at birth, death rate per thousand people by communicable and non-communicable diseases, percentage of diabetes prevalence and mortality of cardiovascular diseases, cancer, diabetes or chronic respiratory disease). Efficient and super-efficient systems are identified and Mexico’s system is discussed as an example.
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