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马普斯特罗克项目:一个计算策略,以改善获得急性中风护理的机会

Leonardo Augusto Carbonera¹, Julián Alejandro Rivillas^2,3, Gillian Gordon Perue⁴

¹Department of Neurology and Neurosurgery, Hospital Moinhos de Vento, Porto Alegre, Brazil.

International journal of stroke : official journal of the International Stroke Society

|February 12, 2024

概括

计算策略确定了全球急性中风治疗获取的差距,特别是在农村的低收入国家和地区. 该研究提出了新的中心位置,以改善覆盖率,并确保及时照顾急性缺血性中风患者.

科学领域:

计算健康计算的健康.
地理空间分析是什么?
公共卫生政策公共卫生政策

背景情况:

全球获得急性中风治疗的机会不均,低收入和中等收入国家 (LMICs) 存在显著差异,特别是在农村地区.
需要标准化的方法来评估中风中心的覆盖范围,并确定新设施的最佳位置.

研究的目的:

开发和实施计算策略 (CSs) 来确定新的急性中风中心 (ASCs) 的最佳位置.
在9个拉丁美洲地区/国家试点实施这些CS,以改善急性缺血性中风 (AIS) 治疗机会.

主要方法:

符合急性中风中心 (ASC) 和潜在急性中风中心 (PASC) 标准的医院使用基础设施和治疗数据被确定.
使用OpenStreetMap和Kontur人口数据集分析了地理位置数据,行驶时间 (45分钟半径) 和人口密度.
应用了CS来评估当前人口覆盖率,并提出新的ASC或人工点 (AP),以实现95%的目标人口覆盖率 (TPC).

主要成果:

在中风中心覆盖率上观察到显著的差异,没有一个地区仅使用现有或潜在的中心就能达到95%的TPC.
人工点 (AP) 的提议是满足TPC的必要条件,巴西里约格兰德杜苏尔州提出了132个新的中心.
现有的ASC集中在城市地区,使农村人口服务不足.

结论:

该MAPSTROKE项目提供了一种系统的方法,以确定急性中风治疗服务不足的地区.
开发的策略可以指导新设施的安置,以增加获得急性缺血性中风护理的机会.

关键词:

一次性中风,中风.算法算法是一种算法.地理信息系统 (GIS) 是一个地理信息系统.医疗保健规划医疗保健规划医疗服务的可访问性医疗信息学是一门医学信息学专业.

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