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

dc.contributor.authorOliphant, Nicholas Paul
dc.contributor.authorRay, Nicolas
dc.contributor.authorBensaid, Khaled
dc.contributor.authorOuedraogo, Adama
dc.contributor.authorGali, Asma Yaroh
dc.contributor.authorHabi, Oumarou
dc.contributor.authorMaazou, Ibrahim
dc.contributor.authorPanciera, Rocco
dc.contributor.authorMuniz, Maria
dc.contributor.authorSy, Zeynabou
dc.contributor.authorManda, S.O.M. (Samuel)
dc.contributor.authorJackson, Debra
dc.contributor.authorDoherty, Tanya
dc.date.accessioned2021-09-06T11:38:06Z
dc.date.available2021-09-06T11:38:06Z
dc.date.issued2021
dc.description.abstractBACKGROUND: 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.departmentStatisticsen_ZA
dc.description.librarianpm2021en_ZA
dc.description.sponsorshipSouth African Medical Research Councilen_ZA
dc.description.urihttp://gh.bmj.comen_ZA
dc.identifier.citationOliphant 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.issn2059-7908 (online)
dc.identifier.other10.1136/ bmjgh-2021-005238
dc.identifier.urihttp://hdl.handle.net/2263/81655
dc.language.isoenen_ZA
dc.publisherBMJ Publishing Groupen_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.subjectCommunity health postsen_ZA
dc.subjectCommunity health worker (CHW)en_ZA
dc.subjectPrimary healthcare (PHC)en_ZA
dc.subjectGeographical accessibilityen_ZA
dc.subjectNigeren_ZA
dc.titleOptimising geographical accessibility to primary health care : a geospatial analysis of community health posts and community health workers in Nigeren_ZA
dc.typeArticleen_ZA

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