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Scaling community-based services in Gauteng, South Africa: A comparison of three workforce-planning scenarios

BACKGROUND: The introduction of community-based services through community health workers is an opportunity to redefine the approach and practice of primary health care. Based on best-practice community oriented primary care (COPC), a COPC planning toolkit has been developed to model the creation of...

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Autores principales: Bennett, Rod, Marcus, Tessa S., Abbott, Geoff, Hugo, Jannie F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AOSIS 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6018689/
https://www.ncbi.nlm.nih.gov/pubmed/29943603
http://dx.doi.org/10.4102/phcfm.v10i1.1748
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author Bennett, Rod
Marcus, Tessa S.
Abbott, Geoff
Hugo, Jannie F.
author_facet Bennett, Rod
Marcus, Tessa S.
Abbott, Geoff
Hugo, Jannie F.
author_sort Bennett, Rod
collection PubMed
description BACKGROUND: The introduction of community-based services through community health workers is an opportunity to redefine the approach and practice of primary health care. Based on best-practice community oriented primary care (COPC), a COPC planning toolkit has been developed to model the creation of a community-based tier in an integrated district health system. AIM: The article describes the methodologies and assumptions used to determine workforce numbers and service costs for three scenarios and applies them to the poorest 60% of the population in Gauteng, South Africa. SETTING: The study derives from a Gauteng Department of Health, Family Medicine (University of Pretoria) partnership to support information and communication technology (ICT)-enabled COPC through community-based health teams (termed as ward-based outreach teams). METHODS: The modelling uses national census age, gender and income data at small area level, provincial facility and national burden of disease data. Service calculations take into account multidimensional poverty, demand-adjusted burden of disease and available work time adjusted for conditions of employment and geography. RESULTS: Assuming the use of ICT for each, a health workforce of 14 819, 17 925 and 7303 is required per scenario (current practice, national norms and full-time employed COPC), respectively. Total service costs for the respective scenarios range from R1.1 billion, through R947 million to R783 million. CONCLUSION: Modelling shows that delivering ICT-enabled COPC with full-time employees is the optimal scenario. It requires the smallest workforce, is the most economical, even when individual community health worker costs of employment are twice those of current practice, and is systemically the most effective.
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spelling pubmed-60186892018-07-05 Scaling community-based services in Gauteng, South Africa: A comparison of three workforce-planning scenarios Bennett, Rod Marcus, Tessa S. Abbott, Geoff Hugo, Jannie F. Afr J Prim Health Care Fam Med Original Research BACKGROUND: The introduction of community-based services through community health workers is an opportunity to redefine the approach and practice of primary health care. Based on best-practice community oriented primary care (COPC), a COPC planning toolkit has been developed to model the creation of a community-based tier in an integrated district health system. AIM: The article describes the methodologies and assumptions used to determine workforce numbers and service costs for three scenarios and applies them to the poorest 60% of the population in Gauteng, South Africa. SETTING: The study derives from a Gauteng Department of Health, Family Medicine (University of Pretoria) partnership to support information and communication technology (ICT)-enabled COPC through community-based health teams (termed as ward-based outreach teams). METHODS: The modelling uses national census age, gender and income data at small area level, provincial facility and national burden of disease data. Service calculations take into account multidimensional poverty, demand-adjusted burden of disease and available work time adjusted for conditions of employment and geography. RESULTS: Assuming the use of ICT for each, a health workforce of 14 819, 17 925 and 7303 is required per scenario (current practice, national norms and full-time employed COPC), respectively. Total service costs for the respective scenarios range from R1.1 billion, through R947 million to R783 million. CONCLUSION: Modelling shows that delivering ICT-enabled COPC with full-time employees is the optimal scenario. It requires the smallest workforce, is the most economical, even when individual community health worker costs of employment are twice those of current practice, and is systemically the most effective. AOSIS 2018-05-31 /pmc/articles/PMC6018689/ /pubmed/29943603 http://dx.doi.org/10.4102/phcfm.v10i1.1748 Text en © 2018. The Authors https://creativecommons.org/licenses/by/4.0/ Licensee: AOSIS. This work is licensed under the Creative Commons Attribution License.
spellingShingle Original Research
Bennett, Rod
Marcus, Tessa S.
Abbott, Geoff
Hugo, Jannie F.
Scaling community-based services in Gauteng, South Africa: A comparison of three workforce-planning scenarios
title Scaling community-based services in Gauteng, South Africa: A comparison of three workforce-planning scenarios
title_full Scaling community-based services in Gauteng, South Africa: A comparison of three workforce-planning scenarios
title_fullStr Scaling community-based services in Gauteng, South Africa: A comparison of three workforce-planning scenarios
title_full_unstemmed Scaling community-based services in Gauteng, South Africa: A comparison of three workforce-planning scenarios
title_short Scaling community-based services in Gauteng, South Africa: A comparison of three workforce-planning scenarios
title_sort scaling community-based services in gauteng, south africa: a comparison of three workforce-planning scenarios
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6018689/
https://www.ncbi.nlm.nih.gov/pubmed/29943603
http://dx.doi.org/10.4102/phcfm.v10i1.1748
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