fsQCA组态视角下我国基层医疗卫生资源配置效率优化路径研究

Research on the Optimization Path of Grassroots Medical and Health Resource Allocation Efficiency in China from the Perspective of fsQCA Configuration

目的研究优化我国基层医疗卫生资源配置效率的路径。方法采用数据包络分析法(DEA)测算我国31个省市基层医疗卫生资源配置效率,并通过模糊集定性比较分析法(fsQCA)得出高效率配置路径。结果2020年我国共有18个省市达到DEA相对有效,均值为0.861,达到资源高效率配置的路径有6条——经济驱动型(3条)、医疗保障型(2条)、政府投入型(1条)。结论我国基层医疗卫生资源配置效率整体上较好,但地区间差异显著,可根据各地实际情况采取不同的路径优化资源配置。

Objective:To study the path to optimize the allocation efficiency of grassroots medical and health resources in China.Method:Data envelopment analysis(DEA)was used to measure the allocation efficiency of grassroots medical and health resources in 31 provinces and cities in China,and fuzzy set qualitative comparative analysis(fsQCA)was used to obtain the efficient allocation path.Result:In 2020,a total of 18 provinces and cities reached DEA with an average value of 0.861.There are 6 paths to achieve the efficient allocation of resources—economic driving(3),medical protection(2)and government input(1).Conclusion:The allocative efficiency of grassroots health care resources is generally good,but there are significant differences between regions.Different ways can be taken to optimize allocative resources according to the actual situations of different regions.