Division of Primary Care and Population Health, Department of Medicine, Stanford University, Stanford, CA, USA.
Heidelberg Institute of Global Health, Heidelberg University, Heidelberg, Germany.
Lancet Healthy Longev. 2020 Oct;1(1):e32-e42. doi: 10.1016/S2666-7568(20)30010-6. Epub 2020 Oct 20.
Severe acute respiratory syndrome coronavirus 2, the virus causing COVID-19, is rapidly spreading across sub-Saharan Africa. Hospital-based care for COVID-19 is often needed, particularly among older adults. However, a key barrier to accessing hospital care in sub-Saharan Africa is travel time to the nearest health-care facility. To inform the geographical targeting of additional health-care resources, we aimed to estimate travel time at a 1 km × 1 km resolution to the nearest hospital and to the nearest health-care facility of any type for adults aged 60 years and older in sub-Saharan Africa.
We assembled a dataset on the geolocation of health-care facilities, separately for hospitals and any type of health-care facility and including both private-sector and public-sector facilities, using data from the OpenStreetMap project and the Kenya Medical Research Institute-Wellcome Trust Programme. Population data at a 1 km × 1 km resolution were obtained from WorldPop. We estimated travel time to the nearest health-care facility for each 1 km × 1 km grid using a cost-distance algorithm.
9·6% (95% CI 5·2-16·9) of adults aged 60 years or older across sub-Saharan Africa had an estimated travel time to the nearest hospital of 6 h or longer, varying from 0·0% (0·0-3·7) in Burundi and The Gambia to 40·9% (31·8-50·7) in Sudan. For the nearest health-care facility of any type (whether primary, secondary, or tertiary care), 15·9% (95% CI 10·1-24·4) of adults aged 60 years or older across sub-Saharan Africa had an estimated travel time of 2 h or longer, ranging from 0·4% (0·0-4·4) in Burundi to 59·4% (50·1-69·0) in Sudan. Most countries in sub-Saharan Africa contained populated areas in which adults aged 60 years and older had a travel time to the nearest hospital of 12 h or longer and to the nearest health-care facility of any type of 6 h or longer. The median travel time to the nearest hospital for the fifth of adults aged 60 years or older with the longest travel times was 348 min (IQR 240-576; equal to 5·8 h) for the entire population of sub-Saharan Africa, ranging from 41 min (34-54) in Burundi to 1655 min (1065-2440; equal to 27·6 h) in Gabon.
Our high-resolution maps of estimated travel times to both hospitals and health-care facilities of any type can be used by policy makers and non-governmental organisations to help target additional health-care resources, such as makeshift hospitals or transport programmes to existing health-care facilities, to older adults with the least physical access to care. In addition, this analysis shows the locations of population groups most likely to under-report COVID-19 symptoms because of low physical access to health-care facilities. Beyond the COVID-19 response, this study can inform the efforts of countries to improve physical access to care for conditions that are common among older adults in the region, such as chronic non-communicable diseases.
Bill & Melinda Gates Foundation.
导致 COVID-19 的严重急性呼吸系统综合征冠状病毒 2 正在迅速在撒哈拉以南非洲传播。COVID-19 的住院治疗通常是必要的,尤其是在老年人中。然而,撒哈拉以南非洲获得医院护理的一个关键障碍是到最近的医疗保健设施的旅行时间。为了为额外的医疗保健资源提供地理定位,我们旨在以 1 公里×1 公里的分辨率估计 60 岁及以上成年人到最近的医院和任何类型的最近的医疗保健设施的旅行时间。
我们使用 OpenStreetMap 项目和肯尼亚医学研究所-惠康信托基金会计划的数据,分别为医院和任何类型的医疗保健设施(包括私营和公共部门的设施)组装了一个关于医疗保健设施地理位置的数据集。每 1 公里×1 公里的人口数据是从 WorldPop 获得的。我们使用成本距离算法估计到最近的医疗保健设施的旅行时间。
撒哈拉以南非洲 60 岁及以上的成年人中,有 9.6%(95%置信区间 5.2-16.9)估计到最近的医院的旅行时间为 6 小时或更长,从布隆迪和冈比亚的 0.0%(0.0-3.7)到苏丹的 40.9%(31.8-50.7)不等。对于任何类型(初级、二级或三级保健)的最近的医疗保健设施,撒哈拉以南非洲 60 岁及以上的成年人中,有 15.9%(95%置信区间 10.1-24.4)估计旅行时间为 2 小时或更长,从布隆迪的 0.4%(0.0-4.4)到苏丹的 59.4%(50.1-69.0)不等。撒哈拉以南非洲的大多数国家都有居住地区,60 岁及以上的成年人到最近的医院的旅行时间为 12 小时或更长,到任何类型的最近的医疗保健设施的旅行时间为 6 小时或更长。对于 60 岁及以上成年人中旅行时间最长的五分之一,到最近的医院的旅行时间中位数为撒哈拉以南非洲全体人口的 348 分钟(IQR 240-576;等于 5.8 小时),从布隆迪的 41 分钟(34-54)到加蓬的 1655 分钟(1065-2440;等于 27.6 小时)不等。
我们对到医院和任何类型的医疗保健设施的旅行时间的高分辨率地图可以为政策制定者和非政府组织提供帮助,以便将额外的医疗保健资源定位到最缺乏身体上获得护理的老年人,例如临时医院或现有的医疗保健设施的运输计划。此外,这项分析显示了最有可能因身体上难以获得医疗保健设施而报告 COVID-19 症状不足的人群的位置。除了 COVID-19 的应对措施之外,这项研究还可以为各国改善该地区老年人常见疾病的身体上获得护理的努力提供信息,例如慢性非传染性疾病。
比尔和梅琳达·盖茨基金会。