通过地理空间建模优化移动卫生诊所的安置
medRxiv : the preprint server for health sciences
|January 29, 2026
概括
优化移动卫生诊所 (MHC) 的安置几乎使无保险居民的人口覆盖率翻了一番,改善了获得护理的机会. 这种空间分析框架提高了MHC的利用率,并减少了服务不足社区的健康差异.
科学领域:
- 公共卫生 公共卫生
- 空间分析 空间分析
- 医疗保健服务研究 医疗服务研究
背景情况:
- 移动卫生诊所 (MHC) 为面临进入障碍的弱势群体提供重要的社区医疗服务.
- 最大限度地提高MHC覆盖率对于改善预防保健和减少健康差距至关重要.
- 现有的MHC放置和路由策略是有限的.
研究的目的:
- 提出一个优化MHC配置和路由的框架,以增加服务覆盖率和利用率.
- 确定MHC的位置,以最大限度地为没有保险的人群在实际的旅行距离内访问.
- 评估地理覆盖率与MHC利用率在查C型肝炎病毒 (HCV) 之间的关联.
主要方法:
- 在南卡罗来纳州进行HCV查和治疗的MHC部署的回顾性分析.
- 利用位置分配模型来确定最佳的MHC安置地点.
- 对比模型提出的网站的服务区域人口与以前的部署.
- 采用负双项混合效应模型来评估服务区人口对MHC利用的影响.
主要成果:
- 优化的MHC安置几乎可以使人口覆盖率增加一倍,为无保险居民增加90% (驾驶) 和135% (步行).
- 该框架减少了多余的服务区域和平均旅行时间,而无需额外的资源.
- 农村地区的地理覆盖范围更大与MHC用于HCV查的使用率更高显著相关.
结论:
- 开发的框架有效地将空间分析与MHC服务交付连接起来,以改善健康结果.
- 这种可复制的工具支持在需要高的地区进行战略部署,减少旅行时间和服务冗余.
- 这种方法可以适应各种旅行方式,地点类型和疾病背景,增强对医疗服务不足的人群的护理.
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