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

BackgroundLittle 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.MethodsUsing a complete geor...

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Published in:BMJ global health Vol. 6; no. 6; p. e005238
Main Authors: 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
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Language:English
Published: London BMJ Publishing Group Ltd 01-06-2021
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Abstract BackgroundLittle 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.MethodsUsing 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.ResultsThe 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.InterpretationsWe 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.
AbstractList 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.
BackgroundLittle 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.MethodsUsing 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.ResultsThe 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.InterpretationsWe 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.
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.
Author Gali, Asma Yaroh
Bensaid, Khaled
Oliphant, Nicholas Paul
Ouedraogo, Adama
Manda, Samuel
Maazou, Ibrahim
Sy, Zeynabou
Habi, Oumarou
Muñiz, Maria
Jackson, Debra
Doherty, Tanya
Panciera, Rocco
Ray, Nicolas
AuthorAffiliation 8 General Directorate of Reproductive Health (former) , Government of Niger Ministry of Public Health , Niamey , Niger
4 Institute for Environmental Sciences , University of Geneva , Geneva , Switzerland
11 Health Section , UNICEF Headquarters , New York , New York , USA
12 Eastern and Southern Africa Regional Office , UNICEF , Nairobi , Kenya
9 Inspection of Statistical Services , National Institute of Statistics , Niamey , Niger
10 Directorate of Surveys and Censuses (former) , National Institute of Statistics , Niamey , Niger
16 Health Systems Research Unit , South African Medical Research Council , Tygerberg , South Africa
6 UNICEF Guinea , Conakry , Guinea
15 London School of Hygiene and Tropical Medicine Centre for Maternal, Adolescent, Reproductive and Child Health , London , UK
14 Department of Statistics , University of Pretoria , Hatfield , South Africa
1 School of Public Health , University of the Western Cape , Bellville , South Africa
5 UNICEF Niger , Niamey , Niger
13 Biostatistics U
AuthorAffiliation_xml – name: 14 Department of Statistics , University of Pretoria , Hatfield , South Africa
– name: 6 UNICEF Guinea , Conakry , Guinea
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2024051500360038000_6.6.e005238.32
2024051500360038000_6.6.e005238.17
2024051500360038000_6.6.e005238.39
2024051500360038000_6.6.e005238.16
2024051500360038000_6.6.e005238.19
2024051500360038000_6.6.e005238.18
2024051500360038000_6.6.e005238.13
2024051500360038000_6.6.e005238.12
2024051500360038000_6.6.e005238.37
2024051500360038000_6.6.e005238.14
2024051500360038000_6.6.e005238.36
Ihantamalala (2024051500360038000_6.6.e005238.10) 2020; 19
2024051500360038000_6.6.e005238.7
Salack (2024051500360038000_6.6.e005238.34) 2018; 21
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SSID ssj0001700006
Score 2.316045
Snippet BackgroundLittle is known about the contribution of community health posts and community health workers (CHWs) to geographical accessibility of primary...
Background Little is known about the contribution of community health posts and community health workers (CHWs) to geographical accessibility of primary...
BACKGROUNDLittle is known about the contribution of community health posts and community health workers (CHWs) to geographical accessibility of primary...
Background Little is known about the contribution of community health posts and community health workers (CHWs) to geographical accessibility of primary...
SourceID doaj
pubmedcentral
proquest
crossref
bmj
SourceType Open Website
Open Access Repository
Aggregation Database
Publisher
StartPage e005238
SubjectTerms Case management
child health
Childrens health
Efficiency
Estimates
geographic information systems
Health administration
Health care
Health facilities
Health promotion
Health services
health services research
health systems
Malaria
Mortality
Original Research
Population
Prevention
Public sector
Roads & highways
Vector-borne diseases
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Title Optimising geographical accessibility to primary health care: a geospatial analysis of community health posts and community health workers in Niger
URI http://dx.doi.org/10.1136/bmjgh-2021-005238
https://www.proquest.com/docview/2583087187
https://search.proquest.com/docview/2539211266
https://pubmed.ncbi.nlm.nih.gov/PMC8186743
https://doaj.org/article/60b9f5d08d694c5c94701d2c68ea765f
Volume 6
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