中国药物经济学2025，Vol.20Issue(12)：5-9,5.DOI:10.12010/j.issn.1673-5846.2025.12.001
基于双重差分模型评价按病种分值付费对后循环缺血患者医疗费用的影响
Impact of Diagnosis-intervention Packet on Posterior Circulation Ischemia Patients'Hospitalization Expenses based on DID Method
摘要
Abstract
Objective To evaluate the impact of diagnosis-intervention packet(DIP)on the medical expenses of patients with posterior circulation ischemia based on the different-in-difference(DID)model.Methods Posterior circulation ischemia was selected as the disease under study.To analyze the implementation effect of DIP,the patients'medical record participating in DIP reform were taken as the intervention group in this study,and the patients'medical record not participating in DIP reform were taken as the control group.The propensity score matching(PSM)method and the DID model were used to evaluate the impact of the DIP reform on patients'medical expenses and the structure Results A total of 2 953 patients with posterior circulation ischemia are included,including 1 418 patients in the intervention group and 1 535 patients in the control group,and 1 262 patients in both groups after matching,with no statistical difference in baseline characteristics.The results of the DID model show that compared with the control group,the total medical expenses of the intervention group decrease by 3.70%,the difference is not statistically significant.The proportion of drug expenses decreases by 2.70%,which is statistically significant.The proportion of consumables,examination and laboratory test,and medical services does not change significantly.Conclusions DIP reform can significantly reduce the proportion of drug expenses for patients.In the future,the impact on medical expenses needs to be further verified.关键词
按病种分值付费/后循环缺血/倾向得分匹配法/双重差分模型/政策评估Key words
Diagnosis-intervention packet/Posterior circulation ischemia/Propensity Score Matching/Difference-in-Difference/Policy evaluation分类
医药卫生引用本文复制引用
CHEN Li-Li,SHI Jia-Fan,CAO Lin-Lin,YUAN Tao-Hua,ZHU Xuan,WANG Duan-Quan..基于双重差分模型评价按病种分值付费对后循环缺血患者医疗费用的影响[J].中国药物经济学,2025,20(12):5-9,5.基金项目
浙江省药学会药物经济学与卫生技术评估专项科研资助项目(2023ZYJ06) （2023ZYJ06）
