| 引用本文：曹剑波, 刘亚清, 张美成, 牛浩然, 姜峰.基于合成控制法的按病种分值付费(DIP)的实施效果评估——清远市实证研究[J].中国卫生政策研究,2022,15(12):31-37 |
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| 基于合成控制法的按病种分值付费(DIP)的实施效果评估——清远市实证研究 |
| 投稿时间：2022-10-04 修订日期：2022-11-08 PDF全文浏览 HTML全文浏览 |
| 曹剑波, 刘亚清, 张美成, 牛浩然, 姜峰 |
| 华中科技大学同济医学院医药卫生管理学院 湖北武汉 430030 |
| 摘要:目的：探究按病种分值付费(Diagnosis-intervention Packet，DIP)的实施效果。方法：本文以2014年DIP试点城市——广东省清远市作为处理组，以省内其余19个非试点城市(除中山市，其在2010年已开始试点)作为对照组，构建面板数据，采用空间计量中的合成控制法评估DIP的实施效果。结果：清远市实施DIP 3年后住院患者的平均住院日比对照组降低1天，平均住院费用比对照组低1000元左右。结论：实施DIP可以降低患者的平均住院日和平均住院费用的增速，从而缓解医保基金支出增长过快，并提高医院的服务效率，减轻住院患者的经济负担。试点地区应更加科学地制定病种分值，完善医保监管，加强医保政策的宣讲培训，使DIP改革具有更好的成效。 |
| 关键词:按病种分值付费 住院日 住院费用 合成控制法 效果评估 |
| 基金项目:教育部人文社会科学研究规划基金(21YJA630062) |
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| Evaluating the implementation performance of Diagnosis-Intervention Packet (DIP)：an empirical study in Qingyuan City based on synthetic control method |
| CAO Jian-bo, LIU Ya-qing, ZHANG Mei-cheng, NIU Hao-ran, JIANG Feng |
| School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan Hubei 430030, China |
| Abstract:Objective: To explore the implementation performance of Diagnosis-Intervention Packet (DIP). Methods: This article selected the city for 2014 DIP pilot test, Qingyuan in Guangdong Province, as the object of research, and the remaining 19 cities without pilot test in the same province (except Zhongshan, which had already started the pilot test in 2010) as the control group to build panel data. The implementation performance of DIP was evaluated by the synthetic control method in space metering. Results: After 3 years of DIP implementation, the average hospitalization duration of hospitalized patients in Qingyuan became 1 day shorter than the control group, and the average cost for hospitalization was about 1 000 yuan lower than that of the control group. Conclusion: Implementing DIP can reduce the average hospitalization duration and the growth rate of average hospitalization expenses, thereby alleviating the quick increase of medical insurance fund expenditure, improving the service efficiency of hospitals, and reducing the financial burden of hospitalized patients, thereby bringing positive impacts to all three parties involved: medical service provider, insurance, and patient. The pilot areas should more scientifically formulate the diagnosis-intervention categorization, improve medical insurance supervision, and strengthen the preaching and training of medical insurance policies, so as to further improve the performance of DIP reform. |
| Key words:Diagnosis-Intervention Packet Hospitalization duration Hospitalization costs Synthetic control method Performance evaluation |
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