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The impact of healthcare reform on the efficiency of public county hospitals in China

Overview of attention for article published in BMC Health Services Research, December 2017
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Title
The impact of healthcare reform on the efficiency of public county hospitals in China
Published in
BMC Health Services Research, December 2017
DOI 10.1186/s12913-017-2780-4
Pubmed ID
Authors

Shuai Jiang, Rui Min, Peng-qian Fang

Abstract

The new round of Healthcare Reform in China has implemented over 3 years since 2009, and promoted greatly the development of public county hospitals. The purpose of this study is to evaluate county hospitals efficiency before and after the healthcare reform, and further assess the reform effectiveness through the comparative analysis of the efficiency. Data envelopment analysis (DEA) was employed to calculate the efficiency of 1105 sample hospitals which were selected from 31 provinces of China, also, Tobit regression was used to regress against those main external environmental factors. Our results show that the scales and amounts of service of hospitals had increased sharply, however, the efficiency was relatively low and decreased slightly from 2008 to 2012. Thirteen (1.18%) in 2008 and six (0.54%) hospitals in 2012 were defined as technically efficient, and the average scores were 0.2916 and 0.2503. The technical efficiency average score of the post-reform was significantly less than that of the pre-reform (p < 0.001), and the score of eastern region was highest and the western was lowest among three regions of China. It suggests the reform had not well improved county hospital efficiency although hospitals have reached a fair developing scale, and the corresponding policies and measures should be put into effect for improving efficiency, especially in the level and structure of health investment, operation and supervision mechanism of county hospitals.

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Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 17%
Student > Ph. D. Student 8 11%
Student > Bachelor 6 9%
Student > Doctoral Student 4 6%
Researcher 4 6%
Other 9 13%
Unknown 27 39%
Readers by discipline Count As %
Economics, Econometrics and Finance 9 13%
Medicine and Dentistry 9 13%
Business, Management and Accounting 8 11%
Social Sciences 6 9%
Nursing and Health Professions 4 6%
Other 5 7%
Unknown 29 41%