中国医院效率DEA研究分类与投入产出指标分析

 
投稿时间: 2014-09-10  最后修改时间: 2014-09-29  摘要点击次数: 5909  全文下载次数: 1833
 
引用本文:董四平, 左玉玲, 陶红兵,等.中国医院效率DEA研究分类与投入产出指标分析[J].中国卫生政策研究,2014,7(10):40-45
董四平1, 左玉玲2, 陶红兵2, 李萌1, 郭淑岩1, 何柳3, 黎浩4
1. 卫生部医院管理研究所 北京 100085;
2. 华中科技大学同济医学院医药卫生管理学院 湖北武汉 430030;
3. 武汉大学政治与公共管理学院 湖北武汉 430072;
4. 武汉大学公共卫生学院/全球健康研究中心 湖北武汉 430071
基金项目:国家卫生计生委医政医管局委托项目;国家卫生计生委规划与信息司委托项目;武汉大学自主科研项目(2042014kf0061)
 
 摘要:目的:了解中国目前医院效率数据包络分析(DEA)研究现状,为进一步提升中国医院效率DEA研究水平提供参考.方法:对1984—2014年应用数据包络分析中国医院效率的85篇密切文献进行系统分类和综述,总结归纳文献的基本特点,对其投入产出指标进行归类统计,并与国际同类文献比较,评价中国此类研究的规范性.结果:应用DEA分析中国医院效率的研究存在医院配置效率研究文献缺乏、医院技术效率模型单一、投入产出指标筛选不严谨、误将经济类指标作为产出指标等突出问题.结论与建议:中国医院效率DEA研究方法使用的合理性、规范性有待进一步提高,研究与国际研究仍存在较大差距.建议相关研究者在医院效率DEA研究方面应追踪国际最新研究,科学筛选投入产出指标,深入分析使用方法和应用条件,提升中国医院效率DEA研究的规范性和科学性. 
  关键词:数据包络分析  医院效率  分类研究  中国
 
Study on DEA-based Chinese hospital efficiency and applied indicators
DONG Si-ping1, ZUO Yu-ling2, TAO Hong-bing2, LI Meng1, GUO Shu-yan1, HE Liu3, LI Hao4
1. National Institute of Hospital Administration, Ministry of Health, Beijing 100085, China;
2. School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan Hubei 430030, China;
3. School of Politics and Public Administration, Wuhan University, Wuhan Hubei 430072, China;
4. School of Public Health/Global Health Institute, Wuhan University, Wuhan Huei 430071, China
 
 Abstract:Objective: This study aims to explore recent developments in DEA-based hospital efficiency studies in China, so as to provide reference for further research in DEA-based hospital efficiency. Methods: In this study, a 30-year retrospective systematic review is conducted for the classification of 85 hospital efficiency studies that have been published in China with DEA. The characteristics are summarized and compared with those of international literature according to the selection of input and output indicators to evaluate the normalization of studies in China. Results: The classification reveals several problems existing in DEA-based hospital efficiency studies in China, such as too few studies on hospital allocation efficiency, the application of simple classical models, imprecise selection of input-output indicators, inappropriate application of monetary variables as output indicators, etc. Conclusions and suggestions: The normalization and rationality of DEA methods applied in China's hospital efficiency research need to be improved, so as to shorten the gap between China and the international world. Chinese researchers should pay more attention to studying the latest international research findings, so as to scientifically select input and output indicators. In depth analysis of methods and application conditions should be conducted so as to improve the normalization and science of China's hospital efficiency research. 
 keywords:Data envelopment analysis  Hospital efficiency  Classification  China