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中国跨市就医网络空间格局及医疗设施供需关系——基于跨市就医互联网数据

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以跨市就医为表征的医疗设施区域共享逐渐规模化和常态化,但既有医疗设施供需关系研究缺乏面向区域共享的理论与方法探讨.基于"城市人"理论和社会网络分析法,构建了面向区域共享的医疗设施供需关系研究框架,并采用2021-2022年互联网就医评价数据构建跨市就医网络,遵循"跨市就医网络空间格局-医疗设施供需关系"的路径,在全国尺度进行了实证研究.研究发现:①我国跨市就医供给呈现为"两核多心"的空间分布,沪京及各省会城市作为供给中心连接周边高需求县市,形成了多个单中心聚集格局.②我国医疗设施服务区形成了华北-东北、华东、华南、西北和西南5个医疗设施一级服务区及21个医疗设施二级服务区,格局整体遵循省级行政边界、部分有所突破.③沪浙苏徽、川藏、陕青分区的就医活动变异系数较高(3.860~3.716),宁、鲁、闽分区的变异系数较低(2.942~2.299);沪浙苏徽、京津冀晋内蒙古、粤、鄂与陕青分区的供需匹配性较高(0.964~0.839),琼、赣与新分区的供需匹配性较低(0.453~0.41);形成了沪浙苏徽、京津冀晋内蒙古分区2个患者流入型分区,粤、陕青、鄂、川藏4个均衡型分区,及其他15个流出型分区.本文提供了区域尺度下有效阐释医疗设施供需关系特征的框架,揭示了跨市就医空间格局及其所表征的医疗设施供需关系,增益于当前医疗设施供需关系研究中跨市就医现象及区域共享视角的缺失,并可以支撑区域医疗资源配置优化.
Spatial pattern of cross-city medical network and supply-demand relationship of medical facilities in China:Based on cross-city medical internet data
The gradual scaling and normalization of regional sharing in medical facilities,characterized by cross-city medical treatment,has been observed,but there is a lack of theoretical and methodological exploration in existing research on the supply and demand relationships of these facilities.This study builds a detailed framework for the supply-demand relationships of medical facilities focused on regional sharing,grounded in the Homo-Urbanicus theory and social network analysis.It utilizes extensive internet-based medical treatment evaluation data from 2021 to 2022 to construct an cross-city medical network.The study follows the trajectory of"spatial pattern of cross-city medical network-supply and demand relationships of medical facilities",and conducts extensive empirical research on a national scale.The findings reveal that:(1)The supply of cross-city medical treatment in China exhibits a"dual-core and multi-center"spatial distribution,with Shanghai and Beijing,along with other provincial capitals,acting as supply centers connected to surrounding high-demand counties and cities,forming multiple single-center agglomeration patterns.(2)The service areas of medical facilities in China comprise five primary service regions(North China-Northeast China,East China,South China,Northwest China,and Southwest China)and 21 secondary service regions.This pattern generally follows provincial administrative boundaries,with some notable exceptions.(3)There is a higher coefficient of variation in medical treatment activities in Shanghai-Zhejiang-Jiangsu-Anhui,Sichuan-Tibet,and Shaanxi-Gansu-Qinghai regions(ranging from 3.860 to 3.716),and a lower coefficient in Ningxia,Shandong,and Fujian(ranging from 2.942 to 2.299).The supply and demand compatibility is higher in regions like Shanghai-Zhejiang-Jiangsu-Anhui,Beijing-Tianjin-Hebei-Shanxi-Inner Mongolia,Guangdong,Hubei,and Shaanxi-Gansu-Qinghai(ranging from 0.964 to 0.839),and lower in Hainan,Jiangxi,and Xinjiang(ranging from 0.453 to 0.41).This has resulted in two patient influx regions(Shanghai-Zhejiang-Jiangsu-Anhui,Beijing-Tianjin-Hebei-Shanxi-Inner Mongolia),four balanced regions(Guangdong,Shaanxi-Gansu-Qinghai,Hubei,Sichuan-Tibet),and fifteen outflow regions.This paper offers a framework for effectively interpreting the characteristics of supply-demand relationships of medical facilities at a regional scale,revealing the spatial pattern of inter-city medical treatment and its representation of supply and demand relationships.This contributes to addressing the gap in current research on inter-city medical treatment phenomena and the perspective of regional sharing,and can support the optimization of regional medical resource allocation.

cross-city health seeking behaviormedical facilitiessupply-demand relationshipregional sharingHomo-Urbanicussocial network analysis

魏伟、向博文

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武汉大学城市设计学院,武汉 430072

武汉大学中国发展战略与规划研究院,武汉 430072

跨市就医 医疗设施 供需关系 区域共享 "城市人"理论 社会网络分析法

2024

地理研究
中国科学院地理科学与资源研究所

地理研究

CSTPCDCSSCICHSSCD北大核心
影响因子:2.214
ISSN:1000-0585
年,卷(期):2024.43(3)
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