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BMC Health Services Research
Published in: BMC Health Services Research 1/2023

Open Access 01-12-2023 | Care | Research

Evaluating the efficiency of primary health care institutions in China: an improved three-stage data envelopment analysis approach

Authors: Wanmin Su, Yatian Hou, Mengge Huang, Jiamian Xu, Qingfeng Du, Peixi Wang

Published in: BMC Health Services Research | Issue 1/2023

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Abstract

Background

Primary health care (PHC) institutions are key to realizing the main functions of the health care system. Since the new health care reform in 2009, the Chinese government has invested heavily in PHC institutions and launched favorable initiatives to improve the efficiency of such institutions. This study is designed to gauge the efficiency of PHC institutions by using 2012–2020 panel data covering 31 provinces in China.

Methods

This study applied an improved three-stage data envelopment analysis (DEA) model to evaluate the efficiency of PHC institutions in China. Unlike the traditional three-stage DEA model, the input-oriented global super-efficiency slack-based measurement (SBM) DEA model is used to calculate the efficiency in the first and third stages of the improved three-stage DEA model, which not only allows the effects of environmental factors and random noise to be taken into account but also deal with the problem of slack, super-efficiency and the comparability of interperiod efficiency values throughout the efficiency measurement.

Results

The results show that the efficiency of PHC institutions has been overestimated due to the impact of external environmental factors and random noise. From 2012 to 2020, the efficiency of PHC institutions displayed a downward trend. Moreover, there are significant differences in the efficiency of PHC institutions between regions, with the lowest efficiency being found in the northeast region. The efficiency of PHC institutions is significantly affected by residents’ annual average income, per capita GDP, population density, the percentage of the population aged 0–14, the percentage of the population aged 65 and older, the number of people with a college education and above per 100,000 residents, and the proportion of the urban population.

Conclusions

Substantial investment in PHC institutions has not led to the expected efficiency gains. Therefore, more effective measures should be taken to improve the efficiency of PHC institutions in China based on local conditions. This study provides a new analytical approach to calculating the efficiency of PHC institutions, and this approach can be applied to efficiency evaluation either in other fields or in other countries.
Appendix
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Metadata
Title
Evaluating the efficiency of primary health care institutions in China: an improved three-stage data envelopment analysis approach
Authors
Wanmin Su
Yatian Hou
Mengge Huang
Jiamian Xu
Qingfeng Du
Peixi Wang
Publication date
01-12-2023
Publisher
BioMed Central
Keyword
Care
Published in
BMC Health Services Research / Issue 1/2023
Electronic ISSN: 1472-6963
DOI
https://doi.org/10.1186/s12913-023-09979-3

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