Mathematical Biosciences and Engineering (Aug 2023)

Study on the evolutionary strategy of upward patient transfer in the loose medical consortia

  • Jialing Li ,
  • Guiju Zhu ,
  • Xinya Hu,
  • Ruqian Fei,
  • Dan Yu,
  • Dong Wang

DOI
https://doi.org/10.3934/mbe.2023751
Journal volume & issue
Vol. 20, no. 9
pp. 16846 – 16865

Abstract

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Medical institutions in loose medical consortia tend to have poor cooperation due to fragmented interests. We aim to explore any issues associated with patient upward transfer in a loose medical consortium system consisting of two tertiary hospitals with both cooperative and competitive relationships. A two-sided evolutionary game model was constructed to assess the stability of equilibrium strategy combinations in the process of interaction between game players under different cost-sharing scenarios and different degrees of penalties when running patient upward transfer between super triple-A hospitals (STH) and general triple-A hospitals (GTH). We found that a hospital's stabilization strategy was related to its revenue status. When a hospital has high/low revenues, it will treat patients negatively/positively, regardless of the strategy chosen by the other hospital. When the hospital has a medium revenue, the strategy choice will be related to the delay cost, delay cost sharing coefficient, government penalty and the strategic choice of the other hospital. Delay cost-sharing coefficient is an important internal factor affecting the cooperation in a medical consortium for patient upward transfer. External interventions, such as government penalty mechanisms, can improve the cooperation between hospitals when hospitals have moderate revenue.

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