McGaughey Tomoko, Peters Paul A
Department of Health Sciences, Carleton University, Ottawa, Ontario, Canada.
Department of Geography and Environmental Studies, Carleton University, Ottawa, Ontario, Canada.
Sci Data. 2024 Aug 8;11(1):853. doi: 10.1038/s41597-024-03691-5.
Estimating travel time to 24-hour emergency services is an important component to modelling accessibility of health services, particularly for rural areas. However, methods used to estimate travel time vary significantly, are not representative of the residential population, and are not openly validated. This makes the assessment of travel-based accessibility metrics between studies incomparable. To address this issue and develop a standardized measurement of emergency service access, this study utilized small geographic units (Dissemination Areas - DA) and geographical boundaries representative of municipal equivalents (Census Subdivision - CSD). Estimated travel times between the centroid of an inhabited DA to each 24-hr emergency department was computed with population-weighted travel times generated for each CSD. This dataset provides a nationally consistent measurement of proximity to emergency services accounting for travel pathing and population distribution. This methodology can be extended to generate estimated shortest travel routes for other healthcare resources or develop actual travel routes based on individuals' experiences with the healthcare system.
估算前往24小时紧急服务机构的出行时间是模拟医疗服务可及性的一个重要组成部分,对于农村地区而言尤为如此。然而,用于估算出行时间的方法差异很大,不能代表常住人口,也未经过公开验证。这使得不同研究之间基于出行的可及性指标评估无法进行比较。为解决这一问题并制定紧急服务可及性的标准化测量方法,本研究采用了小型地理单元(传播区——DA)和代表市政等效区域的地理边界(人口普查分区——CSD)。计算了有人居住的DA中心到每个24小时急诊科的估计出行时间,并为每个CSD生成了人口加权出行时间。该数据集提供了全国范围内一致的衡量紧急服务接近程度的指标,同时考虑了出行路径和人口分布。这种方法可以扩展,以生成其他医疗资源的估计最短出行路线,或根据个人在医疗系统中的经历制定实际出行路线。