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基于超效率DEA的社区医疗服务效率评价
引用本文:张哲.基于超效率DEA的社区医疗服务效率评价[J].山东大学学报(医学版),2011,49(8):148-152.
作者姓名:张哲
作者单位:天津财经大学商学院, 天津 300222
基金项目:教育部人文社会科学基金
摘    要:目的 评价我国社区医疗服务体系的效率。方法 利用非参数方法的超效率DEA模型,计算2009年全国社区卫生服务机构的相对效率得分,并比较各地区的相对服务效率。结果 19个地区为非DEA有效;从投入产出冗余量分析,11个地区的医疗服务机构、14个地区的病床投入未充分使用,3个地区的工作人员出现冗余;从产出方面分析,2个地区住院人数和教育培训人次、15个地区的儿童保健管理率和16个地区疾病预防控制现状有待提升。结论 社区医疗服务在注重设施配套的基础上应加强医疗服务管理和技术提升,除改善医疗服务外,还应改善卫生保健、疾病预防和康复等其他卫生服务功能。

关 键 词:超效率数据包络分析  社区医疗服务  效率评价  
收稿时间:2011-05-20

Efficiency evaluation of community health services based on super-efficiency data envelopment analysis
ZHANG Zhe.Efficiency evaluation of community health services based on super-efficiency data envelopment analysis[J].Journal of Shandong University:Health Sciences,2011,49(8):148-152.
Authors:ZHANG Zhe
Affiliation:School of Business, Tianjin University of Finance and Economics, Tianjin 300222, China
Abstract:Objective To evaluate the efficiency of the community health services of 31 provincial regions in China. Methods The community health service efficiency was calculated with super-efficiency data envelopment analysis(SE-DEA), one of the non parameter approaches, and the relative efficiencies of different provincial regions in 2009 were compared. Results Non-DEA efficiencies existed in 19 regions. From the viewpoint of input-output redundancy, the community health institutions and the sickbeds were underused in 11 and 14 regions respectively, and the staffs were redundant in 3 regions. From the viewpoint of output, the inpatients and the training for health care were deficient in 2 regions. Furthermore, the children health care management rate in 15 regions and the disease prevention in 16 regions should be improved. Conclusions As far as community health service is concerned, except for focus on facilities supply and matching, the medical service management should be strengthened, and the technology should be advanced. Besides medical services, other services, such as healthcare, disease prevention, and rehabilitation, also need to be improved.
Keywords:Super-efficiency data envelopment analysis  Community health services institutions  Efficiency evaluation  
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