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引用本文:仇艺童,张礼亮,李心言,等.“十三五”至“十四五”时期北京市医疗卫生资源供给水平及其时空演变分析[J].中国卫生政策研究,2025,18(6):58-65
“十三五”至“十四五”时期北京市医疗卫生资源供给水平及其时空演变分析
投稿时间:2025-05-05  修订日期:2025-06-07  PDF全文浏览  HTML全文浏览
仇艺童,张礼亮,李心言,韩优莉
首都医科大学公共卫生学院 北京 100069
摘要:目的 探究“十三五”至“十四五”期间,北京市医疗卫生资源供给水平及其时空演变特征,以期为未来规划制定提供参考。方法 基于公共服务人口辐射模型测算北京市各区各年份辐射人口数,基于文献选取相关指标,运用改进的CRITIC-熵权法测算各医疗卫生机构供给水平,进一步形成基于人口密度加权后的每十万辐射人口医疗卫生资源供给水平,并通过基尼系数与莫兰指数分析其时空分布均衡性。结果 “十三五”至“十四五”期间,北京市医疗卫生资源供给水平整体呈增长趋势,核心区域出现小幅下降,城市副中心增速显著,区域间差异不断缩小,且供给水平的空间全局莫兰指数均大于0,呈现空间正相关关系。结论 北京市非首都功能疏解效果显著,但远郊改善幅度较缓,未来需强化跨区协同,引入互联网问诊等技术创新,推动北京市医疗卫生资源供给向更适应群众健康需求的均衡结构转型。
关键词:医疗卫生资源  供给水平  基尼系数  空间自相关  北京
基金项目:国家卫健委卫生发展研究中心委托项目(2023SK000928)
Analysis of the supply level and spatial-temporal evolution of medical and health resources in Beijing during the 13th and 14th Five-Year Plan periods
QIU Yi-tong, ZHANG Li-liang, LI Xin-yan, HAN You-li
School of Public Health, Capital Medical University, Beijing 100069, China
Abstract:Objective This paper measures and analyzes the supply levels across districts, and explore the equity status and spatial-temporal evolution characteristics of medical resource supply during the 13th Five-Year Plan to the14th Five-Year Plan periods, aiming to provide references for future planning.Methods Based on the public service population radiation model, the radiation population numbers of each district in Beijing in each year are calculated. Literature-based relevant indicators are selected. The improved CRITIC-entropy weight method is used to measure the supply level of each medical and health institutions. District-level supply levels per 100,000 radiated population were calculated using population density weighting. And the Gini coefficient and Moran's index are used to analyze its spatial and temporal distribution equilibrium.Results During the 13th Five-Year Plan to the 14th Five-Year Plan periods, the overall medical resource supply level in Beijing showed an upward trend, with a slight decline in core areas and significant growth in urban development new towns. Regional disparities narrowed, and the global Moran’s index values indicated positive spatial correlations in supply levels.Conclusion The decentralization of non-capital functions in Beijing has achieved notable results, though improvements in outer suburbs remain gradual. Future efforts should strengthen cross-regional coordination, integrate innovations like internet-based medical consultations, and promote a more balanced healthcare resource supply structure aligned with public health needs.
Key words:Medical and health resources  Supply level  Gini coefficient  Spatial autocorrelation  Beijing
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