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全球医疗设施可达性时间图。

Global maps of travel time to healthcare facilities.

机构信息

Malaria Atlas Project, Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK.

Telethon Kids Institute, Perth Children's Hospital, Nedlands, Western Australia, Australia.

出版信息

Nat Med. 2020 Dec;26(12):1835-1838. doi: 10.1038/s41591-020-1059-1. Epub 2020 Sep 28.

Abstract

Access to healthcare is a requirement for human well-being that is constrained, in part, by the allocation of healthcare resources relative to the geographically dispersed human population. Quantifying access to care globally is challenging due to the absence of a comprehensive database of healthcare facilities. We harness major data collection efforts underway by OpenStreetMap, Google Maps and academic researchers to compile the most complete collection of facility locations to date. Leveraging the geographically variable strengths of our facility datasets, we use an established methodology to characterize travel time to healthcare facilities in unprecedented detail. We produce maps of travel time with and without access to motorized transport, thus characterizing travel time to healthcare for populations distributed across the wealth spectrum. We find that just 8.9% of the global population (646 million people) cannot reach healthcare within one hour if they have access to motorized transport, and that 43.3% (3.16 billion people) cannot reach a healthcare facility by foot within one hour. Our maps highlight an additional vulnerability faced by poorer individuals in remote areas and can help to estimate whether individuals will seek healthcare when it is needed, as well as providing an evidence base for efficiently distributing limited healthcare and transportation resources to underserved populations both now and in the future.

摘要

获得医疗保健是人类福祉的一项基本要求,但受到医疗资源在地理上的分布与人口分布之间的相对分配的限制。由于缺乏全面的医疗设施数据库,因此全球范围内评估医疗服务的可及性具有挑战性。我们利用 OpenStreetMap、Google Maps 和学术研究人员正在进行的主要数据收集工作,编制了迄今为止最完整的设施位置数据集。利用我们设施数据集在地理位置上的可变优势,我们使用既定的方法以前所未有的细节描述了前往医疗设施的旅行时间。我们生成了有和没有机动交通工具可达性的旅行时间图,从而描述了在财富分布范围内的人群前往医疗保健的旅行时间。我们发现,如果人们可以使用机动交通工具,那么全球只有 8.9%(6.46 亿人)的人口可以在一小时内到达医疗保健机构,而如果只能步行,那么 43.3%(31.6 亿人)的人口无法在一小时内到达医疗设施。我们的地图突出了偏远地区贫困人口面临的另一个脆弱性问题,并有助于估计个人在需要时是否会寻求医疗服务,同时为现在和未来向服务不足的人群有效分配有限的医疗和交通资源提供了证据基础。

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