基于TOPSIS法和RSR法的我国民营医院医疗服务能力评价研究
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1.南京医科大学医政学院;2.南京中医药大学校长办公室

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江苏省教育厅哲学社会科学重点研究基地“江苏重大风险管理与中医药防控政策研究中心”(2019A01)


Research on the Evaluation of Medical Service Capacity of Private Hospitals in China based on TOPSIS Methods and RSR Method
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    摘要:

    通过对2019年我国各省民营医院医疗服务能力评价,了解省际间民营医疗服务现状,促进形成投资方式和投资主体多元化的办医格局。运用TOPSIS法和RSR法对我国31个省份民营医院医疗服务能力进行综合评价。TOPSIS法的评价结果值的范围是0.036-0.950,排名第1的是江苏省,排名第31的是青海省,各省间差距较大;RSR法分档显示,以Probit为自变量,值为因变量构建的回归方程为=0.2266Probit0.8318(F=613.9519,0.01,R2=0.9549)。江苏省、河南省、四川省、山东省、广东省属于民营医院医疗服务能力评价中的第一档。我国各省份民营医院医疗服务能力差异大,应缩小地区间民营医疗资源配置差异,鼓励社会办医,着重提升民营医院诊疗业务质量,加强民营医院的人才队伍建设。

    Abstract:

    Through the capacity evaluation of private hospitals in China's provinces in 2019, to promote the formation of a diversified medical pattern of investment methods and investment entities. The TOPSIS method and RSR method were used to comprehensively evaluate the capacity of private hospitals in 31 provinces in China. The range of evaluation result values of TOPSIS method was 0.036-0.950, ranking 1st was Jiangsu Province, ranking 31st was Qinghai Province, and the gap between provinces was large; RSR method disaggregation showed that the regression equation constructed with Probit values as the independent variable and the values as the dependent variable was =0.2266Probit0.8318 (F=613.9519, P0.01,R2=0.9549) .Jiangsu Province, Henan Province, Sichuan Province, Shandong Province, Guangdong Province belongs to the first gear in the evaluation of medical service capacity of private hospitals. The medical service capacity of private hospitals in various provinces in China varies greatly, and the difference in the allocation of private medical resources between regions should be narrowed, social medical treatment should be encouraged, and the quality of medical services of private hospitals should be improved, the construction of talent teams in private hospitals should be strengthened.

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  • 收稿日期:2022-10-25
  • 最后修改日期:2022-12-31
  • 录用日期:2023-01-03
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