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A novel approach to estimate the impact of health workforce investments on health outcomes through increased coverage of HIV, TB and malaria services
BACKGROUND: Globally, HIV, TB and malaria account for an estimated three million deaths annually. The Global Fund partnered with the World Health Organization to assist countries with health workforce planning in these areas through the development of an integrated health workforce investment impact...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10441693/ https://www.ncbi.nlm.nih.gov/pubmed/37605211 http://dx.doi.org/10.1186/s12960-023-00854-0 |
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author | Bruckner, Tim A. Lin, Tracy K. Liu, Jenny Bornemisza, Olga Ajuebor, Onyema Diallo, Khassoum Cometto, Giorgio |
author_facet | Bruckner, Tim A. Lin, Tracy K. Liu, Jenny Bornemisza, Olga Ajuebor, Onyema Diallo, Khassoum Cometto, Giorgio |
author_sort | Bruckner, Tim A. |
collection | PubMed |
description | BACKGROUND: Globally, HIV, TB and malaria account for an estimated three million deaths annually. The Global Fund partnered with the World Health Organization to assist countries with health workforce planning in these areas through the development of an integrated health workforce investment impact tool. Our study illustrates the development of a user-friendly tool (with two MS Excel calculator subcomponents) that computes associations between human resources for health (HRH) investment inputs and reduced morbidity and mortality from HIV, TB, and malaria via increased coverage of effective treatment services. METHODS: We retrieved from the peer-reviewed literature quantitative estimates of the relation among HRH inputs and HRH employment and productivity. We converted these values to additional full-time-equivalent doctors, nurses and midwives (DNMs). We used log-linear regression to estimate the relation between DNMs and treatment service coverage outcomes for HIV, TB, and malaria. We then retrieved treatment effectiveness parameters from the literature to calculate lives saved due to expanded treatment coverage for HIV, TB, and malaria. After integrating these estimates into the tool, we piloted it in four countries. RESULTS: In most countries with a considerable burden of HIV, TB, and malaria, the health workforce investments include a mix of pre-service education, full remuneration of new hires, various forms of incentives and in-service training. These investments were associated with elevated HIV, TB and malaria treatment service coverage and additional lives saved. The country case studies we developed in addition, indicate the feasibility and utility of the tool for a variety of international and local actors interested in HRH planning. CONCLUSIONS: The modelled estimates developed for illustrative purposes and tested through country case studies suggest that HRH investments result in lives saved across HIV, TB, and malaria. Furthermore, findings show that attainment of high targets of specific treatment coverage indicators would require a substantially greater health workforce than what is currently available in most LMICs. The open access tool can assist with future HRH planning efforts, particularly in LMICs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12960-023-00854-0. |
format | Online Article Text |
id | pubmed-10441693 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-104416932023-08-22 A novel approach to estimate the impact of health workforce investments on health outcomes through increased coverage of HIV, TB and malaria services Bruckner, Tim A. Lin, Tracy K. Liu, Jenny Bornemisza, Olga Ajuebor, Onyema Diallo, Khassoum Cometto, Giorgio Hum Resour Health Methodology BACKGROUND: Globally, HIV, TB and malaria account for an estimated three million deaths annually. The Global Fund partnered with the World Health Organization to assist countries with health workforce planning in these areas through the development of an integrated health workforce investment impact tool. Our study illustrates the development of a user-friendly tool (with two MS Excel calculator subcomponents) that computes associations between human resources for health (HRH) investment inputs and reduced morbidity and mortality from HIV, TB, and malaria via increased coverage of effective treatment services. METHODS: We retrieved from the peer-reviewed literature quantitative estimates of the relation among HRH inputs and HRH employment and productivity. We converted these values to additional full-time-equivalent doctors, nurses and midwives (DNMs). We used log-linear regression to estimate the relation between DNMs and treatment service coverage outcomes for HIV, TB, and malaria. We then retrieved treatment effectiveness parameters from the literature to calculate lives saved due to expanded treatment coverage for HIV, TB, and malaria. After integrating these estimates into the tool, we piloted it in four countries. RESULTS: In most countries with a considerable burden of HIV, TB, and malaria, the health workforce investments include a mix of pre-service education, full remuneration of new hires, various forms of incentives and in-service training. These investments were associated with elevated HIV, TB and malaria treatment service coverage and additional lives saved. The country case studies we developed in addition, indicate the feasibility and utility of the tool for a variety of international and local actors interested in HRH planning. CONCLUSIONS: The modelled estimates developed for illustrative purposes and tested through country case studies suggest that HRH investments result in lives saved across HIV, TB, and malaria. Furthermore, findings show that attainment of high targets of specific treatment coverage indicators would require a substantially greater health workforce than what is currently available in most LMICs. The open access tool can assist with future HRH planning efforts, particularly in LMICs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12960-023-00854-0. BioMed Central 2023-08-21 /pmc/articles/PMC10441693/ /pubmed/37605211 http://dx.doi.org/10.1186/s12960-023-00854-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Methodology Bruckner, Tim A. Lin, Tracy K. Liu, Jenny Bornemisza, Olga Ajuebor, Onyema Diallo, Khassoum Cometto, Giorgio A novel approach to estimate the impact of health workforce investments on health outcomes through increased coverage of HIV, TB and malaria services |
title | A novel approach to estimate the impact of health workforce investments on health outcomes through increased coverage of HIV, TB and malaria services |
title_full | A novel approach to estimate the impact of health workforce investments on health outcomes through increased coverage of HIV, TB and malaria services |
title_fullStr | A novel approach to estimate the impact of health workforce investments on health outcomes through increased coverage of HIV, TB and malaria services |
title_full_unstemmed | A novel approach to estimate the impact of health workforce investments on health outcomes through increased coverage of HIV, TB and malaria services |
title_short | A novel approach to estimate the impact of health workforce investments on health outcomes through increased coverage of HIV, TB and malaria services |
title_sort | novel approach to estimate the impact of health workforce investments on health outcomes through increased coverage of hiv, tb and malaria services |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10441693/ https://www.ncbi.nlm.nih.gov/pubmed/37605211 http://dx.doi.org/10.1186/s12960-023-00854-0 |
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