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Regional Heterogeneity of Application and Effect of Telemedicine in the Primary Care Centres in Rural China

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  • Wanchun Xu

    (School of Medicine and Health Management, Huazhong University of Science and Technology, Wuhan 430030, China
    Research Centre for Rural Health Service, Key Research Institute of Humanities & Social Sciences of Hubei Provincial Department of Education, Wuhan 430030, China)

  • Zijing Pan

    (School of Medicine and Health Management, Huazhong University of Science and Technology, Wuhan 430030, China
    Research Centre for Rural Health Service, Key Research Institute of Humanities & Social Sciences of Hubei Provincial Department of Education, Wuhan 430030, China)

  • Shan Lu

    (School of Medicine and Health Management, Huazhong University of Science and Technology, Wuhan 430030, China
    Research Centre for Rural Health Service, Key Research Institute of Humanities & Social Sciences of Hubei Provincial Department of Education, Wuhan 430030, China)

  • Liang Zhang

    (School of Medicine and Health Management, Huazhong University of Science and Technology, Wuhan 430030, China
    Research Centre for Rural Health Service, Key Research Institute of Humanities & Social Sciences of Hubei Provincial Department of Education, Wuhan 430030, China)

Abstract

The increasing concerns of the geographical maldistribution of medical resources have sparked worldwide interests in exploring the potential of telemedicine in the rural health system. This study aimed to investigate the application and effect of telemedicine as well as their regional heterogeneity in the primary care centres in rural China. Based on the stratified multistage cluster sampling, a cross-sectional study was conducted among 358 township health centres (THCs) from eastern, central and western China. A self-administered questionnaire was used and the data of the Health Statistical Annual Reports in 2017 were collected to investigate the implication of telemedicine as well as the performance and other characteristics of each THCs. Propensity score matching was used to estimate the effect of telemedicine application on the bed occupancy rate and the number of annual outpatient visits of the THCs, with comparison among the regions. The overall prevalence of telemedicine application was 58.66% in 2017, and it was found to increase the bed occupancy rate of the THCs in the national range ( p < 0.1). When divided into different regions, telemedicine was found to improve the number of annual outpatient visits in western China ( p < 0.05) and the bed occupancy rate in eastern China ( p < 0.1). Disparities in the degree of remoteness and the capability of THCs among the regions were also found in this study, which may be the reasons for the regional heterogeneous effects of telemedicine. These findings suggested the potential of telemedicine in improving the utilization of primary care centres in rural areas. Further studies were needed to investigate the underlying reasons for its regional heterogeneous effects.

Suggested Citation

  • Wanchun Xu & Zijing Pan & Shan Lu & Liang Zhang, 2020. "Regional Heterogeneity of Application and Effect of Telemedicine in the Primary Care Centres in Rural China," IJERPH, MDPI, vol. 17(12), pages 1-15, June.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:12:p:4531-:d:375520
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    1. Inha Oh & Jeong-Dong Lee & Almas Heshmati & Gyoung-Gyu Choi, 2009. "Evaluation of credit guarantee policy using propensity score matching," Small Business Economics, Springer, vol. 33(3), pages 335-351, October.
    2. Bo Li & Muhammad Mohiuddin & Qian Liu, 2019. "Determinants and Differences of Township Hospital Efficiency among Chinese Provinces," IJERPH, MDPI, vol. 16(9), pages 1-16, May.
    3. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    4. Dutton, Diana, 1986. "Financial, organizational and professional factors affecting health care utilization," Social Science & Medicine, Elsevier, vol. 23(7), pages 721-735, January.
    5. Susan Athey & Guido W. Imbens, 2017. "The State of Applied Econometrics: Causality and Policy Evaluation," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 3-32, Spring.
    6. Essama-Nssah, B., 2006. "Propensity score matching and policy impact analysis - a demonstration in EViews," Policy Research Working Paper Series 3877, The World Bank.
    7. Jinna Yu & Tingting Zhang & Zhen Liu & Assem Abu Hatab & Jing Lan, 2020. "Tripartite Data Analysis for Optimizing Telemedicine Operations: Evidence from Guizhou Province in China," IJERPH, MDPI, vol. 17(1), pages 1-23, January.
    8. Insu Chang & Brian H. S. Kim, 2020. "Correction to: Regional disparity of medical resources and its effect on age-standardized mortality rates in Korea," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 64(1), pages 237-237, February.
    9. Li Li, 2019. "New cooperative medical scheme and medical expenditure in rural China," Pacific Economic Review, Wiley Blackwell, vol. 24(1), pages 46-68, February.
    10. Gokul P. Paudel & Vijesh V. Krishna & Andrew J. McDonald, 2020. "Apparent Gains, Hidden Costs: Examining Adoption Drivers, Yield, and Profitability Outcomes of Rotavator Tillage in Wheat Systems in Nepal," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(1), pages 199-218, February.
    11. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    12. Dai Su & Yingchun Chen & Hongxia Gao & Haomiao Li & Jingjing Chang & Shihan Lei & Di Jiang & Xiaomei Hu & Min Tan & Zhifang Chen, 2019. "Is There a Difference in the Utilisation of Inpatient Services Between Two Typical Payment Methods of Health Insurance? Evidence from the New Rural Cooperative Medical Scheme in China," IJERPH, MDPI, vol. 16(8), pages 1-16, April.
    13. Yun Liu & Qingxia Kong & Shasha Yuan & Joris van de Klundert, 2018. "Factors influencing choice of health system access level in China: A systematic review," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-21, August.
    14. Meng Yu & Shenjing He & Dunxu Wu & Hengpeng Zhu & Chris Webster, 2019. "Examining the Multi-Scalar Unevenness of High-Quality Healthcare Resources Distribution in China," IJERPH, MDPI, vol. 16(16), pages 1-20, August.
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