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

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...

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Autores principales: Oliphant, Nicholas Paul, Ray, Nicolas, Bensaid, Khaled, Ouedraogo, Adama, Gali, Asma Yaroh, Habi, Oumarou, Maazou, Ibrahim, Panciera, Rocco, Muñiz, Maria, Sy, Zeynabou, Manda, Samuel, Jackson, Debra, Doherty, Tanya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8186743/
https://www.ncbi.nlm.nih.gov/pubmed/34099482
http://dx.doi.org/10.1136/bmjgh-2021-005238
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author Oliphant, Nicholas Paul
Ray, Nicolas
Bensaid, Khaled
Ouedraogo, Adama
Gali, Asma Yaroh
Habi, Oumarou
Maazou, Ibrahim
Panciera, Rocco
Muñiz, Maria
Sy, Zeynabou
Manda, Samuel
Jackson, Debra
Doherty, Tanya
author_facet Oliphant, Nicholas Paul
Ray, Nicolas
Bensaid, Khaled
Ouedraogo, Adama
Gali, Asma Yaroh
Habi, Oumarou
Maazou, Ibrahim
Panciera, Rocco
Muñiz, Maria
Sy, Zeynabou
Manda, Samuel
Jackson, Debra
Doherty, Tanya
author_sort Oliphant, Nicholas Paul
collection PubMed
description 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.
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spelling pubmed-81867432021-06-25 Optimising geographical accessibility to primary health care: a geospatial analysis of community health posts and community health workers in Niger Oliphant, Nicholas Paul Ray, Nicolas Bensaid, Khaled Ouedraogo, Adama Gali, Asma Yaroh Habi, Oumarou Maazou, Ibrahim Panciera, Rocco Muñiz, Maria Sy, Zeynabou Manda, Samuel Jackson, Debra Doherty, Tanya BMJ Glob Health Original Research 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. BMJ Publishing Group 2021-06-07 /pmc/articles/PMC8186743/ /pubmed/34099482 http://dx.doi.org/10.1136/bmjgh-2021-005238 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original Research
Oliphant, Nicholas Paul
Ray, Nicolas
Bensaid, Khaled
Ouedraogo, Adama
Gali, Asma Yaroh
Habi, Oumarou
Maazou, Ibrahim
Panciera, Rocco
Muñiz, Maria
Sy, Zeynabou
Manda, Samuel
Jackson, Debra
Doherty, Tanya
Optimising geographical accessibility to primary health care: a geospatial analysis of community health posts and community health workers in Niger
title Optimising geographical accessibility to primary health care: a geospatial analysis of community health posts and community health workers in Niger
title_full Optimising geographical accessibility to primary health care: a geospatial analysis of community health posts and community health workers in Niger
title_fullStr Optimising geographical accessibility to primary health care: a geospatial analysis of community health posts and community health workers in Niger
title_full_unstemmed Optimising geographical accessibility to primary health care: a geospatial analysis of community health posts and community health workers in Niger
title_short Optimising geographical accessibility to primary health care: a geospatial analysis of community health posts and community health workers in Niger
title_sort optimising geographical accessibility to primary health care: a geospatial analysis of community health posts and community health workers in niger
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8186743/
https://www.ncbi.nlm.nih.gov/pubmed/34099482
http://dx.doi.org/10.1136/bmjgh-2021-005238
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