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Optimising geographical accessibility to primary health care

A geospatial analysis of community health posts and community health workers in Niger

Bibliographic Data

ID21879807
AuthorsNicholas P Oliphant (0000-0001-8519-354X, Global Fund to Fight AIDS, Tuberculosis and Malaria, corresponding author), Nicolas Ray (0000-0002-4696-5313, University of Geneva), Khaled Bensaïd (United Nations Children's Fund Niger), Adama Ouédraogo (0000-0002-4725-1574, United Nations Children's Fund Niger), Asma Yaroh Gali (Pathfinder International), Oumarou Habi (Statistical Service), Ibrahim Maazou (Istituto Nazionale di Statistica), Rocco Panciera (United Nations Children's Fund), Maria Muniz (United Nations Children's Fund Kosovo), Zeynabou Sy (0009-0009-6316-361X, University of Geneva), Samuel Manda (0000-0002-9672-3312, South African Medical Research Council), Debra Jackson (0000-0001-5252-5325, London School of Hygiene & Tropical Medicine), Tanya Doherty (0000-0003-1592-0080, South African Medical Research Council)
Year2021
Volume6
Issue6
Pagese005238
Publication date2021-06-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueBMJ Global Health (JOURNAL)
Journal identifiersISSN: 2059-7908 • E-ISSN: 2059-7908
PublisherBMJ (PUBLISHER • GB)
DOI10.1136/bmjgh-2021-005238
PMID34099482
OpenAlexW3171465335
LanguageEN
Citations received9
References cited25

Background Little is known about the contribution of community health posts and community health workers (CHWs) to geographical accessibility of primary healthcare (PHC) services at community level and strategies for optimising geographical accessibility to these services. Methods Using a complete georeferenced census of community health posts and CHWs in Niger and other high-resolution spatial datasets, we modelled travel times to community health posts and CHWs between 2000 and 2013, accounting for training, commodities and maximum population capacity. We estimated additional CHWs needed to optimise geographical accessibility of the population beyond the reach of the existing community health post network. We assessed the efficiency of geographical targeting of the existing community health post network compared with networks designed to optimise geographical targeting of the estimated population, under-5 deaths and Plasmodium falciparum malaria cases. Results The per cent of the population within 60-minute walking to the nearest community health post with a CHW increased from 0.0% to 17.5% between 2000 and 2013. An estimated 10.4 million people (58.5%) remained beyond a 60-minute catchment of community health posts. Optimal deployment of 7741 additional CHWs could increase geographical coverage from 41.5% to 82.9%. Geographical targeting of the existing community health post network was inefficient but optimised networks could improve efficiency by 32.3%–47.1%, depending on targeting metric. Interpretations We provide the first estimates of geographical accessibility to community health posts and CHWs at national scale in Niger, highlighting improvements between 2000 and 2013, geographies where gaps remained and approaches for optimising geographical accessibility to PHC services at community level

Business · Cartography · Catchment area · Community health · Economic growth · Environmental health · Geography · Geospatial analysis · Health care · Health geography · International health · Population · Population health · Public health · Global Health and Surgery · Global Health Workforce Issues · Global Maternal and Child Health · Medicine · Nursing · Health Policy

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Unique citing works9
Citations per year1,8
Citation span2021 - 2025 (5)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 8

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