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2012—2021年四川省医疗资源利用率空间特征研究

Spatial characteristics of health resource utilization in Sichuan Province from 2012 to 2021
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摘要 目的 探索四川省新医改以来医疗资源利用率发展在空间上的分布特征,促进四川省医疗资源合理分配。方法 使用空间自相关分析对四川省医疗资源利用率的发展趋势和空间分布进行分析。结果 四川省2021年各市(州)间医疗资源利用率相对发展率指数差异较大,遂宁市和广安市相对发展状况比较优秀(UL1、UL2、UK1均>1);LISA图显示,2012—2021年四川省医疗资源利用率整体上呈现空间差异分布,分为东部地区较西部地区相对发展水平高。结论 四川省医疗资源利用率呈现东、西地区差异化分布,人力物力资源配置有待改善。 Objective To explore the spatial distribution characteristics of the development of health re-source utilization since the new health reform in Sichuan Province,and to promote the rational allocation of health resources in Sichuan Province.Methods The development trend and spatial distribution of health resource utili-zation in Sichuan Province were analyzed by spatial autocorrelation analysis.Results In 2021,the relative devel-opment rate indices of health resource utilization rate were quite different among cities(prefectures)in Sichuan Province,and the relative development status of Suining City and Guang'an City was more excellent(ULI,UL2 and UK1 were all>1).The LISA chart showed that the utilization rates of health resources in Sichuan Province from 2012 to 2021 had a spatially different distribution as a whole,and the eastern region had a higher relative de-velopment level than the western region.Conclusions The utilization rates of health resources in Sichuan Prov-ince indicate a differentiated distribution between the eastern and western regions,and the allocation of human and material resources needs to be improved.
作者 刘松林 郭逸婧 王玉龙 杨艾茜 杨渺浩 陈建 LIU Songlin;GUO Yijing;WANG Yulong;YANG Aiqian;YANG Miaohao;CHEN Jian(School of Public Health,Chengdu Medical College,Chengdu,Sichuan 610000,China;Sichuan Health Development Research Center,Chengdu,Sichuan 610000,China)
出处 《中国农村卫生事业管理》 2024年第1期44-50,共7页 Chinese Rural Health Service Administration
基金 四川省科技厅省级科研院所基本科研业务费项目(2023JDKY0026-03) 成都医学院研究生科研创新基金重点课题(No:YCX2022-01-35)。
关键词 医疗资源利用率 相对发展率指数 空间自相关 空间聚集性 医疗资源配置 Utilization of health resources Relative development rate index Spatial autocorrelation Spa-tial clustering Allocation of health resources
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