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Assessment of Staffing Needs for Frontline Health Workers in Selected Maternal and Child Health Services in 3 Countries of Sub-Saharan West Africa: Cote d’Ivoire, Burkina Faso, and Niger

Sub-Saharan African countries health systems are generally faced with shortages and inequitable distribution of qualified health workers. The application of provider-population ratio or fixed staff establishments, not considering variation in workload, given contextual variations in service utilizat...

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Autores principales: Kpebo, Denise, Ly, Antarou, Yameogo, Wambi Maurice Evariste, Bijou, Sujata, Bertrand Ivlabèhirè, Meda, Tougri, Halima, Ndour, Marguerite, Tetchi, Orsot, Sablé, Stéphane Parfait, Kouanda, Seni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9780760/
https://www.ncbi.nlm.nih.gov/pubmed/36568443
http://dx.doi.org/10.1177/11786329221139417
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author Kpebo, Denise
Ly, Antarou
Yameogo, Wambi Maurice Evariste
Bijou, Sujata
Bertrand Ivlabèhirè, Meda
Tougri, Halima
Ndour, Marguerite
Tetchi, Orsot
Sablé, Stéphane Parfait
Kouanda, Seni
author_facet Kpebo, Denise
Ly, Antarou
Yameogo, Wambi Maurice Evariste
Bijou, Sujata
Bertrand Ivlabèhirè, Meda
Tougri, Halima
Ndour, Marguerite
Tetchi, Orsot
Sablé, Stéphane Parfait
Kouanda, Seni
author_sort Kpebo, Denise
collection PubMed
description Sub-Saharan African countries health systems are generally faced with shortages and inequitable distribution of qualified health workers. The application of provider-population ratio or fixed staff establishments, not considering variation in workload, given contextual variations in service utilization rates, cannot adequately match the human resource needs of different health facilities. The Workload Indicators of Staffing Need (WISN) method uses workload to determine staffing needs in a given facility. The aim of this study was to assess the current workload and staffing needs of maternal and child health services in 12 primary healthcare facilities from Burkina Faso, Niger, and Cote d’Ivoire. We employed the WISN methodology, using document reviews, in-depth interviews with health providers, and observations, to obtain the data needed for estimating the required number of staff in a given facility. Then, we calculated both the WISN difference (current−required staff), and the WISN ratio (current staff/required staff). Using the WISN ratio, we assessed the work pressure that health workers experience. The results showed a shortage of health workers in most services in Cote d’Ivoire and Niger (WISN ratio <1), in contrast to Burkina Faso where services were either adequately staffed or overstaffed (WISN ratio ⩾1). The workload pressure was generally high or very high in Cote d’Ivoire, while in Niger, it was very high in maternity services but rather low in dispensary ones. There was also a geographic discrepancy in health workers staffing, rural areas services being more understaffed, with a higher workload pressure as compared to urban areas ones. This study results strengthens the body of knowledge on the shortage of health workforce in sub-Saharan Africa French speaking countries. Policies and strategies to increase students training capacities and the application of regular WISN studies for a better staff distribution are necessary to address the human resource needs of health facilities in these countries.
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spelling pubmed-97807602022-12-24 Assessment of Staffing Needs for Frontline Health Workers in Selected Maternal and Child Health Services in 3 Countries of Sub-Saharan West Africa: Cote d’Ivoire, Burkina Faso, and Niger Kpebo, Denise Ly, Antarou Yameogo, Wambi Maurice Evariste Bijou, Sujata Bertrand Ivlabèhirè, Meda Tougri, Halima Ndour, Marguerite Tetchi, Orsot Sablé, Stéphane Parfait Kouanda, Seni Health Serv Insights Original Research Article Sub-Saharan African countries health systems are generally faced with shortages and inequitable distribution of qualified health workers. The application of provider-population ratio or fixed staff establishments, not considering variation in workload, given contextual variations in service utilization rates, cannot adequately match the human resource needs of different health facilities. The Workload Indicators of Staffing Need (WISN) method uses workload to determine staffing needs in a given facility. The aim of this study was to assess the current workload and staffing needs of maternal and child health services in 12 primary healthcare facilities from Burkina Faso, Niger, and Cote d’Ivoire. We employed the WISN methodology, using document reviews, in-depth interviews with health providers, and observations, to obtain the data needed for estimating the required number of staff in a given facility. Then, we calculated both the WISN difference (current−required staff), and the WISN ratio (current staff/required staff). Using the WISN ratio, we assessed the work pressure that health workers experience. The results showed a shortage of health workers in most services in Cote d’Ivoire and Niger (WISN ratio <1), in contrast to Burkina Faso where services were either adequately staffed or overstaffed (WISN ratio ⩾1). The workload pressure was generally high or very high in Cote d’Ivoire, while in Niger, it was very high in maternity services but rather low in dispensary ones. There was also a geographic discrepancy in health workers staffing, rural areas services being more understaffed, with a higher workload pressure as compared to urban areas ones. This study results strengthens the body of knowledge on the shortage of health workforce in sub-Saharan Africa French speaking countries. Policies and strategies to increase students training capacities and the application of regular WISN studies for a better staff distribution are necessary to address the human resource needs of health facilities in these countries. SAGE Publications 2022-12-21 /pmc/articles/PMC9780760/ /pubmed/36568443 http://dx.doi.org/10.1177/11786329221139417 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research Article
Kpebo, Denise
Ly, Antarou
Yameogo, Wambi Maurice Evariste
Bijou, Sujata
Bertrand Ivlabèhirè, Meda
Tougri, Halima
Ndour, Marguerite
Tetchi, Orsot
Sablé, Stéphane Parfait
Kouanda, Seni
Assessment of Staffing Needs for Frontline Health Workers in Selected Maternal and Child Health Services in 3 Countries of Sub-Saharan West Africa: Cote d’Ivoire, Burkina Faso, and Niger
title Assessment of Staffing Needs for Frontline Health Workers in Selected Maternal and Child Health Services in 3 Countries of Sub-Saharan West Africa: Cote d’Ivoire, Burkina Faso, and Niger
title_full Assessment of Staffing Needs for Frontline Health Workers in Selected Maternal and Child Health Services in 3 Countries of Sub-Saharan West Africa: Cote d’Ivoire, Burkina Faso, and Niger
title_fullStr Assessment of Staffing Needs for Frontline Health Workers in Selected Maternal and Child Health Services in 3 Countries of Sub-Saharan West Africa: Cote d’Ivoire, Burkina Faso, and Niger
title_full_unstemmed Assessment of Staffing Needs for Frontline Health Workers in Selected Maternal and Child Health Services in 3 Countries of Sub-Saharan West Africa: Cote d’Ivoire, Burkina Faso, and Niger
title_short Assessment of Staffing Needs for Frontline Health Workers in Selected Maternal and Child Health Services in 3 Countries of Sub-Saharan West Africa: Cote d’Ivoire, Burkina Faso, and Niger
title_sort assessment of staffing needs for frontline health workers in selected maternal and child health services in 3 countries of sub-saharan west africa: cote d’ivoire, burkina faso, and niger
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9780760/
https://www.ncbi.nlm.nih.gov/pubmed/36568443
http://dx.doi.org/10.1177/11786329221139417
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