Abstract

The uncoordinated and conflicting relationships between doctors and patients are becoming a real dilemma faced by the medical industry and the whole society, which severely affects people's sense of well-being and health. Based on the multiple dimensions of trust, information asymmetry, and moral hazard, we use evolutionary game theory and replicating dynamic equations to construct the evolutionary game model, in the model, doctors and patients could select cooperation strategy or conflict strategy. Through an in-depth study on the model and the model's simulation, we find that the doctor-patient relationship will eventually form a zero-sum game or a win-win situation. As for which situation is stable, it is closely related to the initial parameters of the evolutionary game model and the payment matrix of the evolutionary game. Increasing the trust degree, reducing the degree of information asymmetry and moral hazard would help doctors and patients shift their strategic choices from conflict to cooperation. We also find that increasing the trust degree, reducing the degree of information asymmetry, and reducing the degree of the patients' moral hazard could promote the cooperation level effectively. The study aims to ease the contradiction between doctors and patients, solve the current doctor-patient dilemma, and provide a particular reference for building a new doctor-patient cooperation relationship.

Highlights

  • In recent years, the country has frequently rectified the ‘‘medical troubles,’’ but the phenomenon of violent medical treatment is still challenging to resolve

  • This paper offers a practical solution through numerical simulation to improve the doctorpatient relationship: Firstly, to reduce the degree of information asymmetry between the doctors and patients; secondly, to improve the degree of trust between doctors and patients, and lastly to reduce the degree of moral hazard between doctors and patients

  • The specific conclusion is: (1) In the doctor-patient relationship, the choice of doctors and patients will eventually stabilize in the state or state, and the doctor-patient relationship can form a zero-sum game or a win-win situation

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Summary

INTRODUCTION

The country has frequently rectified the ‘‘medical troubles,’’ but the phenomenon of violent medical treatment is still challenging to resolve. Guo and Wu [40] formed a complicated relationship between collusion and game coexisting around patients, doctors and the government concerning the financing and use of medical expenses They thought that the taking doctor-patient relationship as an example, the evolutionary three-group asymmetric evolutionary game model was used to explain the positive effects of consumer empowerment and cooperative governance on the moral hazard of the medical service market and even the control of medical expenses. From the perspective of dynamic evolution, the evolution of cooperation between doctors and patients is established by constructing a game model of doctor-patient relationship evolution.

EVOLUTIONARY GAME MODEL
EVOLUTIONARY STABILITY ANALYSIS
SYSTEM EVOLUTION PATH SIMULATION
Findings
CONCLUSION
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