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基于DEA-CCA法分析我国医疗卫生服务效率

Analysis of China’s Medical and Health Service Efficiency Based on Data Envelopment Analysis-Charnes,Cooper and Rhodes Model Method

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【作者】 吴婉玲肖畅孙瑞华郭锐敏虞康达郝肖迪沈庆王蜜源

【Author】 WU Wanling;XIAO Chang;SUN Ruihua;Beijing University of Traditional Chinese Medicine School of Management;

【通讯作者】 孙瑞华;

【机构】 北京中医药大学管理学院中日友好医院项目与数据管理平台国家癌症中心/国家肿瘤临床医学研究中心/中国医学科学院北京协和医学院肿瘤医院

【摘要】 目的对我国2016年的31个省市医疗卫生服务效率进行评价,分析卫生投入与产出之间的关系。方法采用数据包络分析(date envelopment analysis,DEA)的CCR模型、BCC模型进行效率评价,再采用典型相关分析DEA有效和无效省市投入与产出之间的关系。结果我国31个省市总体效率平均值为0.961 6,省际分布均衡,DEA有效省市和无效省市卫生投入(医院数、每千人口注册护士数、每千人口医疗机构床位、流动资产)和产出(医疗收入/事业收入、诊疗人次数、每百门诊入院人数、医生日均担负住院床日)呈现高度相关性。结论我国省市DEA有效与经济水平不存在必然联系,卫生经费在医疗卫生服务投入中占有主导地位,医疗收入/事业收入对卫生服务的产出贡献率最大。

【Abstract】 Objective To evaluate the efficiency of medical and health services in 31 provinces and cities in China in 2016,and analyze the relationship between health input and output.Methods The Charnes-Cooper-Rhodes(CCR)and Banker-Charnes-Cooper(BCC)model of data envelopment analysis(DEA)are used for efficiency evaluation,and then the typical correlation analysis is used to analyze the relationship between DEA effective and ineffective provincial and municipal inputs and outputs.Results The average efficiency of the 31 provinces and cities in China was 0.961 6,and the inter-provincial distribution was balanced.The DEA effective provinces and the ineffective provinces had a high correlation between health input(number of hospitals,number of registered nurses per 1 000 population,beds for medical institutions per 1 000 population,current assets)and output(Medical income/business income,number of medical treatments,number of hospital admissions per 100 clinics,and doctors’ daily hospital bed days).Conclusion There is no inevitable connection between the effectiveness of DEA in China’s provinces and the economic level.Health funds occupy a dominant position in the input of medical and health services,and medical income/business income contribute the most to the output of health services.

  • 【文献出处】 中国社会医学杂志 ,Chinese Journal of Social Medicine , 编辑部邮箱 ,2020年03期
  • 【分类号】R197.1
  • 【被引频次】9
  • 【下载频次】297
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