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推导吸引力基于重力模型,用于估计农村医院的实现接入

Sean Harris¹, Ronald McGarvey², Andreas Thorsen¹

¹Jake Jabs College of Business and Entrepreneurship, Montana State University, Bozeman, MT, USA.

The Journal of the Operational Research Society

|June 2, 2025

概括

由于出生量低,农村医院面临财务挑战. 一个新的基于重力模型 (GBM) 揭示了患者子组如何影响产科护理的获取,改善了医疗保健公平的资源配置.

科学领域:

医疗保健服务研究医疗服务研究
农村卫生农村卫生
医疗保健公平医疗保健公平

背景情况:

运营农村产科单位在经济上具有挑战性,通常与低出生量有关.
避开当地医院转移到更远的医院,加剧了财政压力,影响了医疗保健的公平性.
了解子组利用率对于在产科护理中公平分配资源至关重要.

研究的目的:

用推断吸引力基于重力模型 (GBM) 估计蒙大拿州农村地区获得的产科护理.
评估医院的吸引力如何因产科护理水平和分娩子组而异.
评估不同 GBM 变化的性能,特别是对于低容量医院.

主要方法:

采用非线性编程优化模型,特别是推断吸引力基于重力模型 (GBM).
将GBM的三个变体与基于回归的条件逻辑模型进行比较.
利用引导和子组分析来评估模型准确性和人口异质性.

主要成果:

医院对产科护理的吸引力因护理水平和所考虑的特定分娩子组而异.
所有的GBM变种都显示出对高出生量医院的准确性有所改善,但一种新的GBM变种在低产量设施中表现出色.
小组分析显示,医院吸引力的差异很大,突出了人口异质性的重要性.

结论:

这些发现有助于人们更好地理解农村产科护理的公平性.
强调需要将人口异质性纳入GBM,以准确地建模医疗保健准入.
证明了 GBM 中基于医院需求的门对于农村医疗保健规划的价值.

关键词:

或在医疗保健服务中.基于重力的模型模型.医院选择医院选择通过产科绕行.

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