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The Efficiency of Primary Health Care Institutions in the Counties of Hunan Province, China: Data from 2009 to 2017

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  • Kaili Zhong

    (Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha 410078, China)

  • Lv Chen

    (Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha 410078, China)

  • Sixiang Cheng

    (Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha 410078, China)

  • Hongjun Chen

    (Department of Primary Health Care, Health Commission of Hunan Province, Changsha 410078, China)

  • Fei Long

    (Department of Primary Health Care, Health Commission of Hunan Province, Changsha 410078, China)

Abstract

This study aimed to estimate the efficiency and its influencing factors of Primary Health Care Institutions (PHCIs) in counties in Hunan Province, China, and put forward feasible suggestions for improving the efficiency of PHCIs in Hunan Province. We applied the Input-Oriented Data Envelopment Analysis (DEA) method and the Malmquist Index Model to estimate the efficiency of PHCIs in 86 counties in Hunan Province from 2009 to 2017. Then, the Tobit model was used to estimate the factors that influence the efficiency of PHCIs. Since the implementation of the new health-care reform in 2009, the number of health resources in PHCIs in Hunan Province has increased significantly, but most counties’ PHCIs remain inefficient. The efficiency of PHCIs is mainly affected by the total population, city level, the proportion of health technicians and the proportion of beds, but the changes in per capita GDP have not yet played a significant role in influencing efficiency. In the future, the efficiency of PHCIs should be improved by increasing medical technology skills and enthusiasm of health technicians and by improving the payment policies of medical insurance funds.

Suggested Citation

  • Kaili Zhong & Lv Chen & Sixiang Cheng & Hongjun Chen & Fei Long, 2020. "The Efficiency of Primary Health Care Institutions in the Counties of Hunan Province, China: Data from 2009 to 2017," IJERPH, MDPI, vol. 17(5), pages 1-15, March.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:5:p:1781-:d:330447
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    References listed on IDEAS

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    1. Yinzi Jin & Beibei Yuan & Weiming Zhu & Yaoguang Zhang & Ling Xu & Qingyue Meng, 2019. "The interaction effect of health insurance reimbursement and health workforce on health care‐seeking behaviour in China," International Journal of Health Planning and Management, Wiley Blackwell, vol. 34(3), pages 900-911, July.
    2. Sebastian Kohl & Jan Schoenfelder & Andreas Fügener & Jens O. Brunner, 2019. "The use of Data Envelopment Analysis (DEA) in healthcare with a focus on hospitals," Health Care Management Science, Springer, vol. 22(2), pages 245-286, June.
    3. Qian Liu & Bo Li & Muhammad Mohiuddin, 2018. "Prediction and Decomposition of Efficiency Differences in Chinese Provincial Community Health Services," IJERPH, MDPI, vol. 15(10), pages 1-14, October.
    4. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    5. Linna, Miika & Nordblad, Anne & Koivu, Matti, 2003. "Technical and cost efficiency of oral health care provision in Finnish health centres," Social Science & Medicine, Elsevier, vol. 56(2), pages 343-353, January.
    6. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    7. Xinyu Zhang & Lin Zhao & Zhuang Cui & Yaogang Wang, 2015. "Study on Equity and Efficiency of Health Resources and Services Based on Key Indicators in China," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-15, December.
    8. Varabyova, Yauheniya & Schreyögg, Jonas, 2013. "International comparisons of the technical efficiency of the hospital sector: Panel data analysis of OECD countries using parametric and non-parametric approaches," Health Policy, Elsevier, vol. 112(1), pages 70-79.
    9. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    10. Huiwen Li & Beibei Yuan & Qingyue Meng & Ichiro Kawachi, 2019. "Contextual Factors Associated with Burnout among Chinese Primary Care Providers: A Multilevel Analysis," IJERPH, MDPI, vol. 16(19), pages 1-12, September.
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    1. Ayhan Aydın, 2022. "Benchmarking healthcare systems of OECD countries: A DEA - based Malmquist Productivity Index Approach," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 10(1), pages 25-40, June.

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