Evolutionary game and empirical analysis of DRG system on the difficulty of diseases diagnosis and treatment in tertiary hospitals
Fang Jinming1,2,Tao Hongbing2
1 Wuhan Fourth Hospital, Wuhan 430033, China;
2 School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
Abstract:Objective To analyze the influence of DRG system on the difficulty of diagnosis and treatment of diseases in tertiary hospitals with the evolutionary game theory.Methods Through theoretical analysis of strategies and behavioral benefits of medical institutions, an evolutionary game model was constructed, the influence of various factors on the difficulty of diagnosis and treatment of hospital diseases was analyzed by software simulation, and the correctness of the model was verified by empirical analysis.Results Under normal circumstances, even if the initial proportion of departments who choose the strategy of improving the difficulty of diagnosis and treatment of diseases is only 1%, after only 6.13 simulation cycles, the strategy of improving the difficulty of diagnosis and treatment of diseases can quickly cover more than 95% of the groups. When the medical insurance rate is too low, hospitals will choose not to improve the difficulty of disease diagnosis and treatment. Empirical data prove the correctness of the evolutionary game model constructed in this study.Conclusion DRG will promote the difficulty of diagnosis and treatment of diseases in tertiary hospitals. The model constructed in this study has strong practicability in prediction, adjustment and control. The proportion of individuals adopting different initial strategies in hospital group has a great influence on evolutionary equilibrium time. It must be noted that when the medical insurance rate is too low, the hospital will choose not to the difficulty of disease diagnosis and treatment.
方金鸣,陶红兵. DRG制度对三级医院疾病诊治难度的演化博弈及实证分析[J]. 中国医院统计, 2023, 30(2): 106-113.
Fang Jinming,Tao Hongbing. Evolutionary game and empirical analysis of DRG system on the difficulty of diseases diagnosis and treatment in tertiary hospitals. journal1, 2023, 30(2): 106-113.
[1]申鑫,韩春艳,甘勇,等.基于DRG的医疗服务绩效评价体系构建研究[J].中国卫生政策研究,2020,13(3):77-82.DOI: 10.3969/j.issn.1674-2982.2020.03.012.
[2]黎黎.武汉市基层医疗卫生机构服务能力现状及改进措施[J].中国全科医学,2020,23(4):403-408.DOI: 10.12114/j.issn.1007-9572.2020.00.028.
[3]BUSSE R, SCHREYGG J, SMITH P C. Editorial: Hospital case payment systems in Europe[J]. Health Care Manage Sci, 2006, 9(3):211-213. DOI: 10.1007/s10729-006-9039-7.
[4]TAYLOR P D, JONKER L B. Evolutionary stable strategies and game dynamics[J]. Math Biosci, 1978, 40(1-2):145-156. DOI: 10.1016/0025-5564(78)90077-9.
[5]李习平.公立医院利益相关者演化博弈均衡研究[J].中国卫生经济,2015,34(2):86-89.DOI: 10.7664/CHE20150222.
[6]吴文强,冯杰.社区医院与大中型医院双向转诊的演化博弈分析[J].中国卫生事业管理,2015,32(12):892-895.
[7]张耀峰.社会系统中集群行为的涌现计算[D].武汉:华中科技大学,2015.DOI:10.7666/d.D731102.
[8]CRESSMAN R. Extensive form games[M]//Evolutionary Dynamics and Extensive Form Games. The MIT Press, 2003. DOI: 10.7551/mitpress/2884.003.0008.
[9]张耀峰.社会系统演化博弈建模与仿真[M].北京:科学出版社,2016.
[10]林绮.DRG支付方式改革在公立医院中的实践及探索[J].商业会计,2020(2):97-99.DOI: 10.3969/j.issn.1002-5812.2020.02.025.
[11]徐本记,徐倩,冯瑞芳,等.DRGPPS在云南省三级医院医疗费用控制中的应用[J].中国卫生经济,2020,39(3):83-85.DOI: 10.7664/CHE20200320.
[12]唐佳骥,宋磊,张彤彦,等.北京某院DRGs收付费模拟运行效果评价[J].中国卫生质量管理,2020,27(3):47-50.DOI: 10.13912/j.cnki.chqm.2020.27.3.14.
[13]方金鸣,陶红兵.基于博弈理论的DRG支付制度对医疗机构诊疗行为影响分析[J].中国卫生经济,2021,40(3):5-8.
[14]王长青,陈娜.公立医院外部监管的多重博弈模型及改革启示[J].中国卫生事业管理,2015,32(12):884-886.
[15]GRUMBACH K, BODENHEIMER T. Mechanisms for controlling costs[J]. JAMA, 1995, 273:1223-1230. DOI: 10.1001/JAMA.1995.03520390085040.
[16]MOUGEOT M, NAEGELEN F. Hospital price regulation and expenditure cap policy[J]. J Health Econ, 2005, 24(1):55-72. DOI: 10.1016/j.jhealeco.2004.04.007.