在佛罗里达州通过V2SFCA的数据驱动扩展来衡量孕产妇医疗保健的可访问性
Hanqi Li1, Fahui Wang2, Ran Zhang3
1Department of Geography and Anthropology, Louisiana State University, Baton Rouge, LA, USA; GISense Lab, Department of Geography and the Environment, The University of Texas at Austin, Austin, TX, USA; Population Research Center, The University of Texas at Austin, Austin, TX, USA.
Health & place
|January 23, 2026
概括
根据佛罗里达州的位置,孕产妇获得医疗保健的机会有很大差异. 一个新的变量捕捞2SFCA (V2SFCA) 模型揭示了这些差异,为公平的资源分配提供了更好的数据.
科学领域:
- 公共卫生 公共卫生
- 地理信息系统 (GIS) 是指地理信息系统.
- 医疗保健可访问性研究 医疗保健可访问性研究
背景情况:
- 美国面临高的孕产妇死亡率,加剧了医疗保健获取的空间差异,特别是在佛罗里达州这样的大州.
- 传统的方法,如通用化两步浮动采集区 (G2SFCA),往往过于简化了旅行行为,忽视了地理差异,导致无法准确的可访问性评估.
研究的目的:
- 开发和验证数据驱动的变量捕获2SFCA (V2SFCA) 框架,以准确估计佛罗里达州的孕产妇医疗保健可访问性.
- 通过纳入区域特定的旅行行为来解决现有模型中统一参数假设的局限性.
主要方法:
- 使用观察到的患者流量数据开发了一个可变捕获2SFCA (V2SFCA) 框架.
- 采用重力模型来实证地校准距离衰变函数.
- 定义了大都市,小城市,小城镇和农村地区的特定区域的水域值.
主要成果:
- V2SFCA模型揭示了佛罗里达州各个不同地理区域的孕产妇医疗保健可访问性差异.
- 与传统的G2SFCA方法相比,该模型表现出更好的行为现实主义.
- 在不同类型的区域中确定了可访问性挑战的具体模式.
结论:
- 该V2SFCA框架提供了一个更准确和行为上更现实的评估对孕产妇医疗保健的可访问性.
- 结果为有针对性的干预和在孕产妇护理计划中公平分配资源提供了可操作的见解.
- 强调需要采用细分的,特定区域的方法来解决医疗保健获取差异的问题.
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