建模医疗保健的时间变化的空间可访问性:一种系统动态方法
1Department of Geography, University of Florida, Gainesville, FL, USA.
Health & place
|January 18, 2025
概括
本研究引入了一种新的系统动态模型,用于测量随时间推移的医疗保健可访问性. 经过验证的模型有助于识别健康差异,并指导及时干预.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 地理信息系统 地理信息系统
- 公共卫生政策 公共卫生政策
背景情况:
- 空间医疗保健的可访问性对于识别和解决健康差异至关重要.
- 现有的模型不足以捕捉影响可访问性因素的时间动态和相互作用.
- 数据的局限性和方法上的挑战阻碍了当前可访问性模型的验证.
研究的目的:
- 开发一种新的建模方法,用于时间变化和经验验证的医疗保健可访问性措施.
- 代表随着时间的推移,人口需求和医疗保健供应之间的动态相互作用.
- 为监测医疗保健可访问性波动提供框架,并为目标干预提供信息.
主要方法:
- 开发了一个系统动态模型来模拟人口需求和医疗保健供应相互作用.
- 同时估计了跨时间和空间的潜在医疗保健可访问性和利用率.
- 经过验证的模型估计使用佛罗里达州在2022-23年疾病爆发期间的实际住院数据.
主要成果:
- 系统动态建模为评估动态医疗保健可访问性提供了强大的框架.
- 该模型成功地估计和验证了细分水平 (日期和邮政编码) 的时间变化的可访问性.
- 在疾病爆发期间在现实世界中展示了模型的实际应用.
结论:
- 系统动态建模为了解和监测医疗保健可访问性提供了一个强大的工具.
- 该方法有助于制定及时和有针对性的公共卫生干预措施,以减少差异.
- 经验验证的,动态的可访问性措施对于有效的卫生政策和规划至关重要.
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