Evaluation of the Implementation Effect of DRG Payment Reform Based on the Synthetic Control Method
- VernacularTitle:基于合成控制法的DRG支付方式改革实施效果评估
- Author:
Yaqing LIU
1
;
Shan ZHENG
1
;
Haoran NIU
1
Author Information
1. 华中科技大学同济医学院医药卫生管理学院 湖北 武汉 430030
- Publication Type:Journal Article
- Keywords:
Diagnosis-Related Group;
policy implementation offectiveness evaluation;
Synthetic Control Method
- From:
Chinese Health Economics
2025;44(11):6-10
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the implementation effect of the Diagnosis-Related Group(DRG)payment reform.Methods:Taking Panzhihua City in Sichuan Province,which implemented the DRG payment reform in 2018,as the treatment group,and the remaining 20 non-pilot prefecture-level administrative regions within the province as the control group,the panel data was constructed.The Synthetic Control Method(SCM)was employed to evaluate the effects of the DRG payment reform.Results:Four years after the implementation,the inpatient diagnosis and treatment costs in Panzhihua City were approximately 1200 yuan lower,and drug costs were about 500 yuan lower than the synthetic control group.Conclusion:The DRG payment reform has led to a significant reduction in both inpatient diagnosis and treatment costs and drug expenses,effectively mitigating the rapid growth of medical insurance fund expenditures.It is recommended to leverage artificial intelligence to optimize the precision of DRG grouping,utilize the technological outreach of national medical centers,and promote synergy between the DRG payment reform and public hospital performance reform,construct a medical service payment model that"controls costs,improves quality,and promotes efficiency",thereby enhancing the effectiveness of the DRG payment reform.
