引用本文:李浩, 戴遥, 陶红兵.我国DRG政策的文本量化分析——基于政策目标、政策工具和政策力度的三维框架[J].中国卫生政策研究,2021,14(12):16-25 |
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我国DRG政策的文本量化分析——基于政策目标、政策工具和政策力度的三维框架 |
投稿时间:2021-12-01 修订日期:2021-12-22 PDF全文浏览 HTML全文浏览 |
李浩, 戴遥, 陶红兵 |
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:观察我国2009—2021年DRG政策在政策目标、工具和力度不同维度上的分布特征,为健全我国DRG政策体系提供参考。方法:用内容分析和定量分析方法,构建“基于政策目标、政策工具和政策力度”的三维框架,对国家层面DRG政策条目进行多维分类和交叉对比分析。结果:纳入74份政策文本共生成553条政策文本编码,我国DRG政策在数据标准化、绩效评价、医保支付、基金监管四个目标上的频次分别为226(40.87%)、60(10.85%)、159(28.75%)、108(19.53%);供给型、环境型、需求型政策工具依次占23.15%(128/553)、58.95%(326/553)、17.90%(99/553);我国DRG政策平均力度得分为2.959。讨论: DRG基本政策工具均衡性缺位,其内部结构有待优化;政策目标间缺乏协同性,要加强政策制度间的衔接,发挥政策目标的协同效应;政策力度整体偏弱,政策目标、工具和效力间不匹配,要着力加强部门间的协作,提高政策力度。 |
关键词:DRG|文本分析|政策目标|政策工具|政策力度 |
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Text quantitative analysis of China's DRG policy: A three-dimensional framework based on policy objectives, policy tools and policy strength |
LI Hao, DAI Yao, TAO Hong-bing |
School of Medicine and Health Management, Tongji Medical College of Huazhong University of Science & Technology, Wuhan Hubei 430030, China |
Abstract:Objective: This work aimed to analyze the distribution characteristics of China's DRG policy (2009—2011) in dimensions including objectives, tools and strength, so as to provide references for the optimization of China's DRG policy system.Methods: Via content analysis and quantitative analysis methods, a three-dimensional framework based on policy objectives, policy tools and policy strength was developed, which was used to perform multi-dimensional classification and cross-comparison analysis on national level DRG policy items.Results: A total of 74 policy texts were included in this study to generate 553 policy text codes. The frequency of DRG policy on data standardization, performance evaluation, medical insurance payment and fund supervision was respectively 226 (40.87%), 60 (10.85%), 159 (28.75%) and 108 (19.53%); supply-based, environmental and demand-based policy tools respectively accounted for 23.15% (128/553), 58.95% (326/553) and 17.90% (99/553) of the total; the average strength score of China's DRG policy was 2.959.Conclusions: Our findings revealed an imbalance in the basic policy tools of DRG, and therefore its internal structure requires optimization. In addition, a lack of synergy was found among policy objectives, suggesting that the linkage among policy items should be reinforced to increase the synergistic effects of policy objectives. Meanwhile, the overall policy strength was found to be relatively weak, and incompatibility was identified among policy objectives, policy tools and policy strength. Efforts should be made to strengthen inter-departmental collaboration so as to increase policy strength. |
Key words:DRG|Text analysis|Policy objectives|Policy tools|Policy strength |
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