缩小老龄化人口的医疗保健差距:根据SDMI指数,重新考虑高密度城市的空间公平
Wen Zhong1,2, Lei Wang2,3, Hao Long4
1School of Architecture and Urban Planning, Chongqing University, Chongqing, 400030, China.
BMC health services research
|February 25, 2026
概括
这项研究引入了一种新方法来分类和评估老年人的城市卫生资源,改善公平分配. 空间需求供应匹配指数 (SDMI) 有助于识别和解决老龄化人口的医疗保健获取问题.
科学领域:
- 城市规划和资源管理.
- 老年学和公共卫生.
- 地理信息系统 (GIS) 和空间分析
背景情况:
- 全球人口老龄化需要对老年人有效地分配城市卫生资源.
- 现有的卫生政策需要调整,以满足老年人口日益增长的需求.
- 公平公平地分配医疗保健服务是城市环境中的一个关键挑战.
研究的目的:
- 根据分布模式,提出城市老年人健康资源的分类方法.
- 开发一个全面的评估系统,评估资源的可访问性,服务负载,选择性和适用性.
- 创建一个空间需求-供应匹配指数 (SDMI) 模型来量化卫生资源供需之间的平衡.
主要方法:
- 卫生资源分为统一分布,层次和独立类型的分类.
- 集成GIS空间分析,网络建模和分析层次过程 (AHP).
- 空间供需匹配指数 (SDMI) 计算模型的开发和应用.
主要成果:
- SDMI模型有效量化了卫生资源供应和需求之间的匹配程度.
- 评估框架成功地确定了重庆资源分配不均,服务负载过大或可访问性有限的地区.
- 提供了数据驱动的优化策略,以改善老年人医疗资源的空间分布.
结论:
- 拟议的方法系统地评估资源的可访问性,供需匹配,以及空间分布的合理性.
- 这种方法支持对老龄化人口的医疗保健资源分配提高公平性和可访问性.
- 该框架可适应其他高密度城市,为可持续的城市卫生服务系统做出贡献.
关键词:
分类评估评估的分类.数据驱动的数据驱动.年龄较大的成年人.SDMI SDMI SDMI SDMI SDMI SDMI SDMI SDMI SDMI SDMI SDMI SDMI SDMI SDMI SDMI SDMI SDMI SDMI SDMI SDMI SDMI SDMI SDMI SDMI SDMI SDMI供需对应的匹配,就是供求对应.更多相关视频
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