Realizing universal health coverage for maternal health services in the Republic of Guinea: the use of workforce projections to design health labor market interventions
Authors Jansen C, Codjia L, Cometto G, Yansané M, Dieleman M
Received 29 April 2014
Accepted for publication 14 July 2014
Published 20 November 2014 Volume 2014:7 Pages 219—232
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 3
Christel Jansen,1 Laurence Codjia,2 Giorgio Cometto,3 Mohamed Lamine Yansané,4 Marjolein Dieleman1
1Health Unit, Royal Tropical Institute, Amsterdam, the Netherlands; 2Health Workforce, World Health Organization, Geneva, Switzerland; 3Global Health Workforce Alliance, World Health Organization, Geneva, Switzerland; 4Health Focus GmbH, Conakry, Guinea
Background: Universal health coverage requires a health workforce that is available, accessible, and well-performing. This article presents a critical analysis of the health workforce needs for the delivery of maternal and neonatal health services in Guinea, and of feasible and relevant interventions to improve the availability, accessibility, and performance of the health workforce in the country.
Methods: A needs-based approach was used to project human resources for health (HRH) requirements. This was combined with modeling of future health sector demand and supply. A baseline scenario with disaggregated need and supply data for the targeted health professionals per region and setting (urban or rural) informed the identification of challenges related to the availability and distribution of the workforce between 2014 and 2024. Subsequently, the health labor market framework was used to identify interventions to improve the availability and distribution of the health workforce. These interventions were included in the supply side modeling, in order to create a “policy rich” scenario B which allowed for analysis of their potential impact.
Results: In the Republic of Guinea, only 44% of the nurses and 18% of the midwives required for maternal and neonatal health services are currently available. If Guinea continues on its current path without scaling up recruitment efforts, the total stock of HRH employed by the public sector will decline by 15% between 2014 and 2024, while HRH needs will grow by 22% due to demographic trends. The high density of HRH in urban areas and the high number of auxiliary nurses who are currently employed pose an opportunity for improving the availability, accessibility, and performance of the health workforce for maternal and neonatal health in Guinea, especially in rural areas.
Conclusion: Guinea will need to scale up its recruitment efforts in order to improve health workforce availability. Targeted labor market interventions need to be planned and executed over several decades to correct entrenched distortions and mismatches between workforce need, supply, and demand. The case of Guinea illustrates how to design and operationalize HRH interventions based on workforce projections to accompany and facilitate universal health coverage reforms.
Keywords: human resources for health, workforce projections
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