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Meeting human resources for health staffing goals by 2018: a quantitative analysis of policy options in Zambia

BACKGROUND: The Ministry of Health (MOH) in Zambia is currently operating with fewer than half of the health workers required to deliver basic health services. The MOH has developed a human resources for health (HRH) strategic plan to address the crisis through improved training, hiring, and retenti...

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Autores principales: Tjoa, Aaron, Kapihya, Margaret, Libetwa, Miriam, Schroder, Kate, Scott, Callie, Lee, Joanne, McCarthy, Elizabeth
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2914658/
https://www.ncbi.nlm.nih.gov/pubmed/20591143
http://dx.doi.org/10.1186/1478-4491-8-15
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author Tjoa, Aaron
Kapihya, Margaret
Libetwa, Miriam
Schroder, Kate
Scott, Callie
Lee, Joanne
McCarthy, Elizabeth
author_facet Tjoa, Aaron
Kapihya, Margaret
Libetwa, Miriam
Schroder, Kate
Scott, Callie
Lee, Joanne
McCarthy, Elizabeth
author_sort Tjoa, Aaron
collection PubMed
description BACKGROUND: The Ministry of Health (MOH) in Zambia is currently operating with fewer than half of the health workers required to deliver basic health services. The MOH has developed a human resources for health (HRH) strategic plan to address the crisis through improved training, hiring, and retention. However, the projected success of each strategy or combination of strategies is unclear. METHODS: We developed a model to forecast the size of the public sector health workforce in Zambia over the next ten years to identify a combination of interventions that would expand the workforce to meet staffing targets. The key forecasting variables are training enrolment, graduation rates, public sector entry rates for graduates, and attrition of workforce staff. We model, using Excel (Office, Microsoft; 2007), the effects of changes in these variables on the projected number of doctors, clinical officers, nurses and midwives in the public sector workforce in 2018. RESULTS: With no changes to current training, hiring, and attrition conditions, the total number of doctors, clinical officers, nurses, and midwives will increase from 44% to 59% of the minimum necessary staff by 2018. No combination of changes in staff retention, graduation rates, and public sector entry rates of graduates by 2010, without including training expansion, is sufficient to meet staffing targets by 2018 for any cadre except midwives. Training enrolment needs to increase by a factor of between three and thirteen for doctors, three and four for clinical officers, two and three for nurses, and one and two for midwives by 2010 to reach staffing targets by 2018. Necessary enrolment increases can be held to a minimum if the rates of retention, graduation, and public sector entry increase to 100% by 2010, but will need to increase if these rates remain at 2008 levels. CONCLUSIONS: Meeting the minimum need for health workers in Zambia this decade will require an increase in health training school enrolment. Supplemental interventions targeting attrition, graduation and public sector entry rates can help close the gap. HRH modelling can help MOH policy makers determine the relative priority and level of investment needed to expand Zambia's workforce to target staffing levels.
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spelling pubmed-29146582010-08-04 Meeting human resources for health staffing goals by 2018: a quantitative analysis of policy options in Zambia Tjoa, Aaron Kapihya, Margaret Libetwa, Miriam Schroder, Kate Scott, Callie Lee, Joanne McCarthy, Elizabeth Hum Resour Health Research BACKGROUND: The Ministry of Health (MOH) in Zambia is currently operating with fewer than half of the health workers required to deliver basic health services. The MOH has developed a human resources for health (HRH) strategic plan to address the crisis through improved training, hiring, and retention. However, the projected success of each strategy or combination of strategies is unclear. METHODS: We developed a model to forecast the size of the public sector health workforce in Zambia over the next ten years to identify a combination of interventions that would expand the workforce to meet staffing targets. The key forecasting variables are training enrolment, graduation rates, public sector entry rates for graduates, and attrition of workforce staff. We model, using Excel (Office, Microsoft; 2007), the effects of changes in these variables on the projected number of doctors, clinical officers, nurses and midwives in the public sector workforce in 2018. RESULTS: With no changes to current training, hiring, and attrition conditions, the total number of doctors, clinical officers, nurses, and midwives will increase from 44% to 59% of the minimum necessary staff by 2018. No combination of changes in staff retention, graduation rates, and public sector entry rates of graduates by 2010, without including training expansion, is sufficient to meet staffing targets by 2018 for any cadre except midwives. Training enrolment needs to increase by a factor of between three and thirteen for doctors, three and four for clinical officers, two and three for nurses, and one and two for midwives by 2010 to reach staffing targets by 2018. Necessary enrolment increases can be held to a minimum if the rates of retention, graduation, and public sector entry increase to 100% by 2010, but will need to increase if these rates remain at 2008 levels. CONCLUSIONS: Meeting the minimum need for health workers in Zambia this decade will require an increase in health training school enrolment. Supplemental interventions targeting attrition, graduation and public sector entry rates can help close the gap. HRH modelling can help MOH policy makers determine the relative priority and level of investment needed to expand Zambia's workforce to target staffing levels. BioMed Central 2010-06-30 /pmc/articles/PMC2914658/ /pubmed/20591143 http://dx.doi.org/10.1186/1478-4491-8-15 Text en Copyright ©2010 Tjoa et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Tjoa, Aaron
Kapihya, Margaret
Libetwa, Miriam
Schroder, Kate
Scott, Callie
Lee, Joanne
McCarthy, Elizabeth
Meeting human resources for health staffing goals by 2018: a quantitative analysis of policy options in Zambia
title Meeting human resources for health staffing goals by 2018: a quantitative analysis of policy options in Zambia
title_full Meeting human resources for health staffing goals by 2018: a quantitative analysis of policy options in Zambia
title_fullStr Meeting human resources for health staffing goals by 2018: a quantitative analysis of policy options in Zambia
title_full_unstemmed Meeting human resources for health staffing goals by 2018: a quantitative analysis of policy options in Zambia
title_short Meeting human resources for health staffing goals by 2018: a quantitative analysis of policy options in Zambia
title_sort meeting human resources for health staffing goals by 2018: a quantitative analysis of policy options in zambia
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2914658/
https://www.ncbi.nlm.nih.gov/pubmed/20591143
http://dx.doi.org/10.1186/1478-4491-8-15
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