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运用价格篮子编制医疗服务价格指数的设计思路及应用检验*
引用本文:王晓昕,张媚,吴靖文,肖丽,肖杰,陈军,刘家宇.运用价格篮子编制医疗服务价格指数的设计思路及应用检验*[J].中国卫生经济,2023,42(7):54-58.
作者姓名:王晓昕  张媚  吴靖文  肖丽  肖杰  陈军  刘家宇
作者单位:四川大学华西医院 成都 610041;成都中医药大学 成都 611137;眉山市医疗保障局 四川 眉山 620000;中国人民财产保险眉山市分公司 四川 眉山 620000
基金项目:基金项目:眉山市医疗保障局委托课题 (2020年)
摘    要:目的:运用价格篮子工具和加权价格指数构建基本医疗服务价格指数 (Price Index of Primary Medical Service,PIPMS),探讨该指数用于解释某个区域基本医疗服务组合价格水平和区域比较的应用前景。方法:运用文献分析法、价格指数法及统计分析法。结果:(1) 价格篮子是构建PIPMS指数的关键参数,是以某一政策目标为导向筛选的系列项目及频次组合,可以建立综合价格篮子和特征价格篮子 (高市场份额、重点监测和价值点数)。(2) 不同价值点数医疗服务项目的比价关系不合理,尤其是在中西部地区。(3) 各省PIPMS指数值的内部影响程度依次是医技诊疗类、临床诊疗类、综合医疗服务类和中医及民族医诊疗类 ;尚未发现各省PIPMS指数的外部影响因素,表明宏观管制效果欠佳。讨论:(1) PIPMS指数工具体现了医保大数据决策管理思路 ;(2) PIPMS指数有助于实现价格宏观调控机制 ;(3) PIPMS有助于医疗服务价格监测

关 键 词:医疗服务价格  价格指数  价格篮子  比价关系
收稿时间:2023/4/28 0:00:00

Design Ideas and Application Tests for the Use of Price Baskets to Compile the Price Index of Medical Services
Wang Xiaoxin,Zhang Mei,Wu Jingwen,Xiao Li,Xiao Jie,Chen Jun,Liu Jiayu.Design Ideas and Application Tests for the Use of Price Baskets to Compile the Price Index of Medical Services[J].Chinese Health Economics,2023,42(7):54-58.
Authors:Wang Xiaoxin  Zhang Mei  Wu Jingwen  Xiao Li  Xiao Jie  Chen Jun  Liu Jiayu
Institution:West China Hospital, Sichuan University, Chengdu, 610041 , China
Abstract:Objective: To construct the Price Index of Primary Medical Service (PIPMS) by using the price basket tool and weight- ed price index, and to explore the application prospect of the index to explain the price level and regional comparison of the combina- tion of primary medical services in a certain region. Methods: Literature analysis, price index, statistical analysis are applied. Re- sults: (1) The price basket is the key parameter for constructing the PIPMS index, which is a series of items and frequency combina- tions guided by a certain policy goal, which can establish a comprehensive price basket and a characteristic price basket (high market share, key monitoring and value points). (2) The price comparison relationship of medical service items with different value points is unreasonable, especially in the central and western regions. (3) The internal influence degrees of the PIPMS index value in each province were medical technology, clinical, comprehensive and traditional Chinese medicine. No external factors affecting the PIPMS index have been identified in the provinces, indicating that macro-control is less effective. Discussion: (1) The PIPMS index tool reflects the decision-making management ideas of medical insurance big data. (2) The PIPMS index helps to realize the price macro-control mechanism. (3) PIPMS helps in price monitoring of medical services.
Keywords:
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