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引用本文:金鑫, 张昱, 李伟锋, 韩金艳.天津市区级疾病预防控制中心卫生技术人员配置均衡性及邻近效应研究[J].中国卫生政策研究,2024,17(5):50-56
天津市区级疾病预防控制中心卫生技术人员配置均衡性及邻近效应研究
投稿时间:2024-03-04  修订日期:2024-05-05  PDF全文浏览  HTML全文浏览
金鑫1,2, 张昱3, 李伟锋1, 韩金艳2
1. 天津大学医学工程与转化医学研究院 天津 300072;
2. 天津市卫生健康委员会 天津 300070;
3. 中国人民大学公共管理学院 北京 100872
摘要:目的:分析天津市区级疾病预防控制中心(以下简称“区级疾控中心”)卫生技术人员配置均衡性及邻近效应,为推进区级疾控中心卫生人才队伍建设高质量发展提供参考。方法:基于2016—2022年面板数据,通过集中度指数、集聚度、空间自相关指数和空间滞后模型,分析卫生技术人员配置均衡性及邻近效应。结果:天津市区级疾控中心卫生技术人员集中度指数位于0.2以下,10个区级疾控中心卫生技术人员卫生资源集聚度均大于1,7个区级疾病预防控制中心卫生技术人员卫生资源集聚度与人口集聚度比值均大于1,地理面积维度卫生技术人员全局莫兰指数均大于0。空间滞后模型实证了区域之间存在邻近效应。结论:建议从提高编制使用、增加财政补助、加强院校合作方面改善区级疾控中心卫生技术人员配置不足的问题,从城乡对口帮扶、资源投入倾斜、加强医防融合方面改善区级疾控中心卫生技术人员配置不均衡问题。
关键词:疾病预防控制中心  卫生技术人员  均衡性  卫生资源集聚度  空间滞后模型
基金项目:国家自然科学基金项目(72174138)
Study on health technicians' allocation equilibrium and proximity effect of district-level Center for Disease Control and Prevention in Tianjin municipality
JIN Xin1,2, ZHANG Yu3, LI Wei-feng1, HAN Jin-yan2
1. Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China;
2. Tianjin Municipal Health Commission, Tianjin 300070, China;
3. School of Public Administration and Policy, Renmin University of China, Beijing 100872, China
Abstract:Objective: To analyze the equilibrium and proximity effect of health technicians' allocation of district-level Centers for Disease Control and Prevention (district-level CDC) in Tianjin, so as to provide reference for promoting the high-quality development construction of talent team of district-level CDC. Methods: Based on panel data from 2016 to 2022, to analyze the equilibrium and proximity effect of health technicians' allocation through the concentration index, agglomeration degree, spatial autocorrelation indicator and spatial lag model. Results: The concentration index of health technicians of District-level CDC in Tianjin were below 0.2, the health resource agglomeration degree in 10 district-level CDC were greater than 1, and the ratio of health resource agglomeration degree and population agglomeration degree in 7 district-level CDC were greater than 1, and global Moran's I of health technicians in the geographic area dimension were greater than 0. The spatial lag model demonstrated the proximity effect between districts. Conclusion: It is suggested to improve the insufficient allocation of health technicians of the district-level CDC from the aspects of improving the use, increasing financial subsidies and strengthening the cooperation with medical universities and colleges, and to improve the disequilibrium of allocation of health technicians of the district-level CDC from the aspects of urban and rural matching assistance, resource input, and strengthening the integration of medical treatment and prevention.
Key words:Center for Disease Control and Prevention  Health technicians  Equilibrium  Health resource agglomeration degree  Spatial lag model
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