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Towards healthy China 2030: Modeling health care accessibility with patient referral

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  • Xiao, Yixiong
  • Chen, Xiang
  • Li, Qiang
  • Jia, Pengfei
  • Li, Luning
  • Chen, Zhifen

Abstract

One primary action plan in the Healthy China 2030 initiative is to build innovativepatient referral models for health care reform in China. To ensure people have sufficient and equitable health care access when the patient referral policy is enforced, a systematic evaluation of its effects on the health care system is needed. In this paper, we focus on one health policy metric, the health care accessibility, by considering the patient transfer between different levels of health care facilities under the context that the need for specialized treatment cannot be fulfilled by a low-level facility. We then propose three conceptual patient referral models and a hierarchical two-step floating catchment area method to evaluate health care accessibility in different patient referral scenarios. A case study of hospitals in Beijing, China has been conducted to justify the proposed model, revealing the spatial inequality of health care accessibility. We find that while the patient referral can leverage health care resources to a certain extent, such effects are only prominent in areas with good coverage of health care facilities; and the efficiency of the health care system can be compromised in areas with limited health care provisioning. To this end, the study provides scientific evidence for the planning and reform of the health care policy in the Healthy China 2030 initiative.

Suggested Citation

  • Xiao, Yixiong & Chen, Xiang & Li, Qiang & Jia, Pengfei & Li, Luning & Chen, Zhifen, 2021. "Towards healthy China 2030: Modeling health care accessibility with patient referral," Social Science & Medicine, Elsevier, vol. 276(C).
  • Handle: RePEc:eee:socmed:v:276:y:2021:i:c:s0277953621001660
    DOI: 10.1016/j.socscimed.2021.113834
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    References listed on IDEAS

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    1. Chen, X. & Kwan, M.-P., 2015. "Contextual uncertainties, human mobility, and perceived food environment: The uncertain geographic context problem in food access research," American Journal of Public Health, American Public Health Association, vol. 105(9), pages 1734-1737.
    2. Joseph, Alun E. & Bantock, Peter R., 1982. "Measuring potential physical accessibility to general practitioners in rural areas: A method and case study," Social Science & Medicine, Elsevier, vol. 16(1), pages 85-90, January.
    3. Zhang, Yue & Berman, Oded & Verter, Vedat, 2009. "Incorporating congestion in preventive healthcare facility network design," European Journal of Operational Research, Elsevier, vol. 198(3), pages 922-935, November.
    4. Wijkel, Dirk, 1986. "Lower referral rates for integrated health centres in The Netherlands," Health Policy, Elsevier, vol. 6(2), pages 185-198.
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    Cited by:

    1. Shen, Zhiyang & Wu, Haitao & Bai, Kaixuan & Hao, Yu, 2022. "Integrating economic, environmental and societal performance within the productivity measurement," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    2. Hao, Yuchen & Liu, Chuang & Zhao, Lugang & Liu, Weibo, 2023. "A dual-clustering algorithm for a robust medical grid partition problem considering patient referral," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    3. Bruno, Giuseppe & Cavola, Manuel & Diglio, Antonio & Elizalde, Javier & Piccolo, Carmela, 2022. "A locational analysis of deregulation policies in the Spanish retail pharmaceutical sector," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    4. Wei, Zhongyu & Bai, Jianjun & Feng, Ruitao, 2023. "Optimization referral rate design for hierarchical diagnosis and treatment system based on accessibility-utilization efficiency bi-objective collaboration: A case study of China," Social Science & Medicine, Elsevier, vol. 322(C).

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