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A non-cooperative game with incomplete information to improve patient hospital choice

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  • Jie Song
  • Jianpei Wen

Abstract

In order to improve the accessibility of health care service, the hierarchical health care delivery system that includes the general hospital (GH) and the community health care center (CHC) has been gradually established in urban China. In this paper, we introduce a game theoretic framework that considers both the influence of static and dynamic factors on patients’ choices among health care facilities. We formulate a non-cooperative game with incomplete information and regard the equilibrium of this game as a best prediction of patients’ hospital choice results. We implement the proposed game theoretic framework by a case study. We provide quantitative analysis on the equilibrium to study how those factors affect patients’ hospital choices. Finally, to achieve the goal that alleviates the congestion of GH and balance the patient flow among GHs and CHCs, we implement two incentive policies in our model, along with analysing their effects on patients’ hospital choices. The non-cooperative game with incomplete information model functions as a quantitative tool to help the government decision-maker to improve the patient flow distribution in urban China.

Suggested Citation

  • Jie Song & Jianpei Wen, 2015. "A non-cooperative game with incomplete information to improve patient hospital choice," International Journal of Production Research, Taylor & Francis Journals, vol. 53(24), pages 7360-7375, December.
    • Handle: RePEc:taf:tprsxx:v:53:y:2015:i:24:p:7360-7375
    DOI: 10.1080/00207543.2015.1077284
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    Cited by:

    1. Zi Yang Wang & Jie Song & Xing Lin Feng, 2023. "A prediction model of patient satisfaction: policy evaluation and sensitivity analysis," Flexible Services and Manufacturing Journal, Springer, vol. 35(2), pages 455-486, June.
    2. Li, Zhong-Ping & Wang, Jian-Jun, 2021. "Effects of healthcare quality and reimbursement rate in a hospital association," Socio-Economic Planning Sciences, Elsevier, vol. 76(C).
    3. Jianpei Wen & Hanyu Jiang & Jie Song, 2019. "A Stochastic Queueing Model for Capacity Allocation in the Hierarchical Healthcare Delivery System," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 36(01), pages 1-24, February.
    4. Ngui Min Fui Tom, 2019. "Strategy to Build a Transshipment Port as a Catalyst to Achieving Critical Mass for Sabah’s Economic Growth," International Business Research, Canadian Center of Science and Education, vol. 12(7), pages 141-166, July.
    5. Wang, Jian-Jun & Li, Zhong-Ping & Shi, Jim (Junmin) & Chang, Ai-Chih (Jasmine), 2021. "Hospital referral and capacity strategies in the two-tier healthcare systems," Omega, Elsevier, vol. 100(C).
    6. Zhong-Ping Li & Jian-Jun Wang & Ai-Chih Chang & Jim Shi, 2021. "Capacity reallocation via sinking high-quality resource in a hierarchical healthcare system," Annals of Operations Research, Springer, vol. 300(1), pages 97-135, May.

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