Access to emergency hospital care provided by the public sector in sub-Saharan Africa in 2015: a geocoded inventory and spatial analysis

被引:255
作者
Ouma, Paul O. [1 ]
Maina, Joseph [1 ]
Thuranira, Pamela N. [1 ]
Macharia, Peter M. [1 ]
Alegana, Victor A. [3 ]
English, Mike [2 ,4 ]
Okiro, Emelda A. [1 ]
Snow, Robert W. [1 ,4 ]
机构
[1] Kenya Med Res Inst KEMRI, Wellcome Trust Res Programme, Populat Hlth Unit, POB 43640-00100, Nairobi, Kenya
[2] Kenya Med Res Inst KEMRI, Wellcome Trust Res Programme, Hlth Serv Unit, Nairobi, Kenya
[3] Univ Southampton, Dept Geog & Environm, Southampton, Hants, England
[4] Univ Oxford, Ctr Trop Med & Global Hlth, Nuffield Dept Clin Med, Oxford, England
基金
英国惠康基金;
关键词
CONSENSUS CONFERENCE; HEALTH; COUNTRIES; MORTALITY; BURDEN;
D O I
10.1016/S2214-109X(17)30488-6
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background Timely access to emergency care can substantially reduce mortality. International benchmarks for access to emergency hospital care have been established to guide ambitions for universal health care by 2030. However, no Pan-African database of where hospitals are located exists; therefore, we aimed to complete a geocoded inventory of hospital services in Africa in relation to how populations might access these services in 2015, with focus on women of child bearing age. Methods We assembled a geocoded inventory of public hospitals across 48 countries and islands of sub-Saharan Africa, including Zanzibar, using data from various sources. We only included public hospitals with emergency services that were managed by governments at national or local levels and faith-based or non-governmental organisations. For hospital listings without geographical coordinates, we geocoded each facility using Microsoft Encarta (version 2009), Google Earth (version 7.3), Geonames, Fallingrain, OpenStreetMap, and other national digital gazetteers. We obtained estimates for total population and women of child bearing age (15-49 years) at a 1 km (2) spatial resolution from the WorldPop database for 2015. Additionally, we assembled road network data from Google Map Maker Project and OpenStreetMap using ArcMap (version 10.5). We then combined the road network and the population locations to form a travel impedance surface. Subsequently, we formulated a cost distance algorithm based on the location of public hospitals and the travel impedance surface in AccessMod (version 5) to compute the proportion of populations living within a combined walking and motorised travel time of 2 h to emergency hospital services. Findings We consulted 100 databases from 48 sub-Saharan countries and islands, including Zanzibar, and identified 4908 public hospitals. 2701 hospitals had either full or partial information about their geographical coordinates. We estimated that 287 282 013 (29.0%) people and 64 495 526 (28.2%) women of child bearing age are located more than 2-h travel time from the nearest hospital. Marked differences were observed within and between countries, ranging from less than 25% of the population within 2-h travel time of a public hospital in South Sudan to more than 90% in Nigeria, Kenya, Cape Verde, Swaziland, South Africa, Burundi, Comoros, Sao Tome and Principe, and Zanzibar. Only 16 countries reached the international benchmark of more than 80% of their populations living within a 2-h travel time of the nearest hospital. Interpretation Physical access to emergency hospital care provided by the public sector in Africa remains poor and varies substantially within and between countries. Innovative targeting of emergency care services is necessary to reduce these inequities. This study provides the first spatial census of public hospital services in Africa. Copyright (c) The Author(s). Published by Elsevier Ltd.
引用
收藏
页码:E342 / E350
页数:9
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