Optimising geographical accessibility to primary health care : a geospatial analysis of community health posts and community health workers in Niger

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dc.contributor.author Oliphant, Nicholas Paul
dc.contributor.author Ray, Nicolas
dc.contributor.author Bensaid, Khaled
dc.contributor.author Ouedraogo, Adama
dc.contributor.author Gali, Asma Yaroh
dc.contributor.author Habi, Oumarou
dc.contributor.author Maazou, Ibrahim
dc.contributor.author Panciera, Rocco
dc.contributor.author Muniz, Maria
dc.contributor.author Sy, Zeynabou
dc.contributor.author Manda, S.O.M. (Samuel)
dc.contributor.author Jackson, Debra
dc.contributor.author Doherty, Tanya
dc.date.accessioned 2021-09-06T11:38:06Z
dc.date.available 2021-09-06T11:38:06Z
dc.date.issued 2021
dc.description.abstract 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. en_ZA
dc.description.department Statistics en_ZA
dc.description.librarian pm2021 en_ZA
dc.description.sponsorship South African Medical Research Council en_ZA
dc.description.uri http://gh.bmj.com en_ZA
dc.identifier.citation Oliphant NP, Ray N, Bensaid K, et al. Optimising geographical accessibility to primary health care: a geospatial analysis of community health posts and community health workers in Niger. BMJ Global Health 2021;6:e005238. doi:10.1136/bmjgh-2021-005238. en_ZA
dc.identifier.issn 2059-7908 (online)
dc.identifier.other 10.1136/ bmjgh-2021-005238
dc.identifier.uri http://hdl.handle.net/2263/81655
dc.language.iso en en_ZA
dc.publisher BMJ Publishing Group en_ZA
dc.rights © Author(s) (or their employer(s)) 2021. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license. en_ZA
dc.subject Community health posts en_ZA
dc.subject Community health worker (CHW) en_ZA
dc.subject Primary healthcare (PHC) en_ZA
dc.subject Geographical accessibility en_ZA
dc.subject Niger en_ZA
dc.title Optimising geographical accessibility to primary health care : a geospatial analysis of community health posts and community health workers in Niger en_ZA
dc.type Article en_ZA


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