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 |
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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. |
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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 – name: 1 School of Public Health , University of the Western Cape , Bellville , South Africa – name: 3 GeoHealth Group, Institute of Global Health, Faculty of Medicine , University of Geneva , Geneva , Switzerland – name: 16 Health Systems Research Unit , South African Medical Research Council , Tygerberg , South Africa – name: 2 Technical Advice and Partnerships , The Global Fund to Fight AIDS, Tuberculosis and Malaria , Geneva , Switzerland – name: 12 Eastern and Southern Africa Regional Office , UNICEF , Nairobi , Kenya – name: 9 Inspection of Statistical Services , National Institute of Statistics , Niamey , Niger – name: 15 London School of Hygiene and Tropical Medicine Centre for Maternal, Adolescent, Reproductive and Child Health , London , UK – name: 5 UNICEF Niger , Niamey , Niger – name: 10 Directorate of Surveys and Censuses (former) , National Institute of Statistics , Niamey , Niger – name: 4 Institute for Environmental Sciences , University of Geneva , Geneva , Switzerland – name: 13 Biostatistics Unit , South African Medical Research Council , Pretoria , South Africa – name: 8 General Directorate of Reproductive Health (former) , Government of Niger Ministry of Public Health , Niamey , Niger – name: 11 Health Section , UNICEF Headquarters , New York , New York , USA – name: 7 Pathfinder International , Niamey , Niger |
Author_xml | – sequence: 1 givenname: Nicholas Paul orcidid: 0000-0001-8519-354X surname: Oliphant fullname: Oliphant, Nicholas Paul email: npoliphant@gmail.com organization: Technical Advice and Partnerships, The Global Fund to Fight AIDS, Tuberculosis and Malaria, Geneva, Switzerland – sequence: 2 givenname: Nicolas orcidid: 0000-0002-4696-5313 surname: Ray fullname: Ray, Nicolas organization: Institute for Environmental Sciences, University of Geneva, Geneva, Switzerland – sequence: 3 givenname: Khaled surname: Bensaid fullname: Bensaid, Khaled organization: UNICEF Niger, Niamey, Niger – sequence: 4 givenname: Adama surname: Ouedraogo fullname: Ouedraogo, Adama organization: UNICEF Guinea, Conakry, Guinea – sequence: 5 givenname: Asma Yaroh surname: Gali fullname: Gali, Asma Yaroh organization: General Directorate of Reproductive Health (former), Government of Niger Ministry of Public Health, Niamey, Niger – sequence: 6 givenname: Oumarou surname: Habi fullname: Habi, Oumarou organization: Directorate of Surveys and Censuses (former), National Institute of Statistics, Niamey, Niger – sequence: 7 givenname: Ibrahim surname: Maazou fullname: Maazou, Ibrahim organization: Directorate of Surveys and Censuses (former), National Institute of Statistics, Niamey, Niger – sequence: 8 givenname: Rocco surname: Panciera fullname: Panciera, Rocco organization: Health Section, UNICEF Headquarters, New York, New York, USA – sequence: 9 givenname: Maria surname: Muñiz fullname: Muñiz, Maria organization: Eastern and Southern Africa Regional Office, UNICEF, Nairobi, Kenya – sequence: 10 givenname: Zeynabou surname: Sy fullname: Sy, Zeynabou organization: Institute for Environmental Sciences, University of Geneva, Geneva, Switzerland – sequence: 11 givenname: Samuel surname: Manda fullname: Manda, Samuel organization: Department of Statistics, University of Pretoria, Hatfield, South Africa – sequence: 12 givenname: Debra orcidid: 0000-0003-3307-632X surname: Jackson fullname: Jackson, Debra organization: London School of Hygiene and Tropical Medicine Centre for Maternal, Adolescent, Reproductive and Child Health, London, UK – sequence: 13 givenname: Tanya orcidid: 0000-0003-1592-0080 surname: Doherty fullname: Doherty, Tanya organization: Health Systems Research Unit, South African Medical Research Council, Tygerberg, South Africa |
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2024051500360038000_6.6.e005238.32 doi: 10.1093/heapol/czv064 – volume: 20 year: 2020 ident: 2024051500360038000_6.6.e005238.38 article-title: Geographical accessibility in assessing bypassing behaviour for inpatient neonatal care, Bungoma County-Kenya publication-title: BMC Pregnancy Childbirth doi: 10.1186/s12884-020-02977-x contributor: fullname: Ocholla – volume: 12 start-page: 1404 year: 2017 ident: 2024051500360038000_6.6.e005238.3 article-title: Optimising the benefits of community health workers' unique position between communities and the health sector: a comparative analysis of factors shaping relationships in four countries publication-title: Glob Public Health doi: 10.1080/17441692.2016.1174722 contributor: fullname: Kok – volume: 11 year: 2016 ident: 2024051500360038000_6.6.e005238.15 article-title: Niger's child survival success, contributing factors and challenges to sustainability: a retrospective analysis publication-title: PLoS One doi: 10.1371/journal.pone.0146945 contributor: fullname: Besada – volume: 19 year: 2020 ident: 2024051500360038000_6.6.e005238.10 article-title: Improving geographical accessibility modeling for operational use by local health actors publication-title: Int J Health Geogr doi: 10.1186/s12942-020-00220-6 contributor: fullname: Ihantamalala – ident: 2024051500360038000_6.6.e005238.36 doi: 10.1136/bmjopen-2020-039138 – ident: 2024051500360038000_6.6.e005238.27 doi: 10.1016/S0140-6736(19)31097-9 – ident: 2024051500360038000_6.6.e005238.39 doi: 10.2471/BLT.16.175869 – volume: 28 start-page: 1716 year: 2019 ident: 2024051500360038000_6.6.e005238.9 article-title: Community healthcare network in underserved areas: design, mathematical models, and analysis publication-title: Prod Oper Manag doi: 10.1111/poms.13008 contributor: fullname: Cherkesly – ident: 2024051500360038000_6.6.e005238.17 – volume: 21 start-page: 36 year: 2018 ident: 2024051500360038000_6.6.e005238.34 article-title: Scales for rating heavy rainfall events in 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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... |
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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 |
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