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The Impact of County Medical Community Reform on the Medical Service Efficiency of County-Level Public General Hospitals in China: A Case Study of Shanxi Province

Author

Listed:
  • Yun Ye

    (School of Management, Hainan Medical University, 3 Xueyuan Road, Longhua District, Haikou 571199, China)

  • Richard Evans

    (Faculty of Computer Science, Dalhousie University, Halifax, NS B3H 4R2, Canada)

  • Li Jing

    (Department of Health Management, School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China)

  • Muhammad Rizwan

    (School of Economics and Management, Yangtze University, Jingzhou 434023, China)

  • Yan Xuan

    (Hainan Women and Children’s Medical Center, Haikou 570312, China)

  • Wei Lu

    (School of Management, Hainan Medical University, 3 Xueyuan Road, Longhua District, Haikou 571199, China
    Hainan Women and Children’s Medical Center, Haikou 570312, China)

Abstract

China introduced the county medical community (CMC) reform, aimed to provide high-quality medical resources to rural citizens, in 2017. This study examines the impact of the reform on the medical service efficiency of county-level public general hospitals in Shanxi Province, China. In total, 92 county-level public general hospitals from Shanxi Province were taken as the research objective, and the super-efficiency SBM-DEA model was applied to measure medical service efficiency. Further, a two-way fixed-effect model was used to evaluate the impact of CMC reform on the medical service efficiency of county-level public general hospitals by using health statistics data from 2014 to 2018. The study reveals that the CMC reform improved the medical service efficiency of county-level public general hospitals by 15.6%. Moreover, the CMC reform had regional heterogeneity in its impact on the medical service efficiency of county-level public general hospitals. The CMC reform improved the medical service efficiency of hospitals in the southern region more than in the northern region of the province. The medical service efficiency of hospitals in the central region was also improved by CMC reform, but the causal relationship was not found significant. Further, hospital-level factors (e.g., fixed assets, hospital stay, and regional health center) and environmental factors (e.g., GDP, population, urbanization rate, and government subsidies) affected the medical service efficiency of county-level public hospitals during the process of promoting the CMC reform.

Suggested Citation

  • Yun Ye & Richard Evans & Li Jing & Muhammad Rizwan & Yan Xuan & Wei Lu, 2022. "The Impact of County Medical Community Reform on the Medical Service Efficiency of County-Level Public General Hospitals in China: A Case Study of Shanxi Province," IJERPH, MDPI, vol. 19(21), pages 1-15, October.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:21:p:13827-:d:951722
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    References listed on IDEAS

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    1. Mitchell A. Petersen, 2009. "Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches," The Review of Financial Studies, Society for Financial Studies, vol. 22(1), pages 435-480, January.
    2. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    3. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
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