A study on collaborative governance of excessive medical care based on three-way evolutionary game and simulation
IntroductionAlthough China has made some progress in regulating and governing overtreatment behaviors in healthcare institutions, excessive medical care remains a persistent challenge in the Chinese healthcare sector.MethodsThis study adopts a perspective of bounded rationality and employs evolution...
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Frontiers Media S.A.
2025-07-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2025.1593398/full |
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| author | Hanxiang Gong Hanxiang Gong Tao Zhang Xi Wang Baoling Wu Shufang Zhao |
| author_facet | Hanxiang Gong Hanxiang Gong Tao Zhang Xi Wang Baoling Wu Shufang Zhao |
| author_sort | Hanxiang Gong |
| collection | DOAJ |
| description | IntroductionAlthough China has made some progress in regulating and governing overtreatment behaviors in healthcare institutions, excessive medical care remains a persistent challenge in the Chinese healthcare sector.MethodsThis study adopts a perspective of bounded rationality and employs evolutionary game theory to construct a collaborative governance model involving government regulatory departments, healthcare institutions, and patients. The model analyzes the strategic stability of each participant and examines the impact of various factors, such as fiscal subsidies, government fines, rectification costs, regulatory costs, reasonable treatment income, and overtreatment income, on the strategic choices of the game participants. Parameter sensitivity within the three-party gaming system is also investigated through simulation analysis.ResultsThe findings indicate that when patients trust treatment outcomes and healthcare institutions are more inclined to provide appropriate care, government regulatory departments tend to adopt a more relaxed regulatory strategy. Simulation results show that increasing government fiscal subsidies, raising reasonable treatment income, and strengthening supervision and rectification efforts are effective in reducing overtreatment behaviors.DiscussionThe decision-making of government regulatory departments is influenced by the degree of patient trust. Improving collaborative governance for overtreatment requires establishing comprehensive laws and regulations, leveraging government regulatory functions, strengthening internal constraint mechanisms in healthcare institutions, and raising patients' awareness of their rights and supervisory responsibilities. |
| format | Article |
| id | doaj-art-1abc18e18de147cda6ed2ed2e61f5650 |
| institution | Kabale University |
| issn | 2296-2565 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj-art-1abc18e18de147cda6ed2ed2e61f56502025-08-20T03:50:58ZengFrontiers Media S.A.Frontiers in Public Health2296-25652025-07-011310.3389/fpubh.2025.15933981593398A study on collaborative governance of excessive medical care based on three-way evolutionary game and simulationHanxiang Gong0Hanxiang Gong1Tao Zhang2Xi Wang3Baoling Wu4Shufang Zhao5Faculty of Humanities and Social Sciences, Macau Polytechnic University, Macao, Macao SAR, ChinaThe Second Affiliated Hospital, Guangzhou Medical University, Guangzhou City, Guangdong Province, ChinaFaculty of Humanities and Social Sciences, Macau Polytechnic University, Macao, Macao SAR, ChinaFaculty of Humanities and Social Sciences, Macau Polytechnic University, Macao, Macao SAR, ChinaFaculty of Humanities and Social Sciences, Macau Polytechnic University, Macao, Macao SAR, ChinaFaculty of Humanities and Social Sciences, Macau Polytechnic University, Macao, Macao SAR, ChinaIntroductionAlthough China has made some progress in regulating and governing overtreatment behaviors in healthcare institutions, excessive medical care remains a persistent challenge in the Chinese healthcare sector.MethodsThis study adopts a perspective of bounded rationality and employs evolutionary game theory to construct a collaborative governance model involving government regulatory departments, healthcare institutions, and patients. The model analyzes the strategic stability of each participant and examines the impact of various factors, such as fiscal subsidies, government fines, rectification costs, regulatory costs, reasonable treatment income, and overtreatment income, on the strategic choices of the game participants. Parameter sensitivity within the three-party gaming system is also investigated through simulation analysis.ResultsThe findings indicate that when patients trust treatment outcomes and healthcare institutions are more inclined to provide appropriate care, government regulatory departments tend to adopt a more relaxed regulatory strategy. Simulation results show that increasing government fiscal subsidies, raising reasonable treatment income, and strengthening supervision and rectification efforts are effective in reducing overtreatment behaviors.DiscussionThe decision-making of government regulatory departments is influenced by the degree of patient trust. Improving collaborative governance for overtreatment requires establishing comprehensive laws and regulations, leveraging government regulatory functions, strengthening internal constraint mechanisms in healthcare institutions, and raising patients' awareness of their rights and supervisory responsibilities.https://www.frontiersin.org/articles/10.3389/fpubh.2025.1593398/fullexcessive medical carecollaborative governanceevolutionary gamesimulation analysishealthcare regulation |
| spellingShingle | Hanxiang Gong Hanxiang Gong Tao Zhang Xi Wang Baoling Wu Shufang Zhao A study on collaborative governance of excessive medical care based on three-way evolutionary game and simulation Frontiers in Public Health excessive medical care collaborative governance evolutionary game simulation analysis healthcare regulation |
| title | A study on collaborative governance of excessive medical care based on three-way evolutionary game and simulation |
| title_full | A study on collaborative governance of excessive medical care based on three-way evolutionary game and simulation |
| title_fullStr | A study on collaborative governance of excessive medical care based on three-way evolutionary game and simulation |
| title_full_unstemmed | A study on collaborative governance of excessive medical care based on three-way evolutionary game and simulation |
| title_short | A study on collaborative governance of excessive medical care based on three-way evolutionary game and simulation |
| title_sort | study on collaborative governance of excessive medical care based on three way evolutionary game and simulation |
| topic | excessive medical care collaborative governance evolutionary game simulation analysis healthcare regulation |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2025.1593398/full |
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