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Assessing the efficiency of health systems in achieving the universal health coverage goal: evidence from Sub-Saharan Africa
OBJECTIVE: Universal health coverage (UHC) is a major pathway to save many people from catastrophic and impoverishing healthcare spending and address the inequality in health and healthcare. The objective of this paper is to assess the efficiency with which health systems in sub-Saharan Africa (SSA)...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Berlin Heidelberg
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10152035/ https://www.ncbi.nlm.nih.gov/pubmed/37129773 http://dx.doi.org/10.1186/s13561-023-00433-y |
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author | Arhin, Kwadwo Oteng-Abayie, Eric Fosu Novignon, Jacob |
author_facet | Arhin, Kwadwo Oteng-Abayie, Eric Fosu Novignon, Jacob |
author_sort | Arhin, Kwadwo |
collection | PubMed |
description | OBJECTIVE: Universal health coverage (UHC) is a major pathway to save many people from catastrophic and impoverishing healthcare spending and address the inequality in health and healthcare. The objective of this paper is to assess the efficiency with which health systems in sub-Saharan Africa (SSA) are utilizing healthcare resources to progress towards achieving the UHC goal by 2030. METHODS: The study followed the guidelines proposed by the World Health Organization (WHO) and World Bank joint UHC monitoring framework and the computational operationalization approach proposed by Wagstaff et al. (2015) to estimate the UHC index for each of the 30 selected SSA countries. The bootstrapping output-oriented data envelopment analysis (DEA) was used to estimate the bias-corrected technical efficiency scores and examine the environmental factors that influence health system efficiency. RESULTS: The estimated UHC levels ranged from a minimum of 52% to a maximum of 81% [Formula: see text] with a median coverage of 66%. The average bias-corrected efficiency score was 0.81 [Formula: see text] . The study found that education, governance quality, public health spending, external health funding, and prepayment arrangements that pool funds for health had a positive significant effect on health system efficiency in improving UHC, while out-of-pocket payment had a negative impact. CONCLUSION: The results show that health systems in SSA can potentially enhance UHC levels by at least 19% with existing healthcare resources if best practices are adopted. Policymakers should aim at improving education, good governance, and healthcare financing architecture to reduce out-of-pocket payments and over-reliance on donor funding for healthcare to achieve UHC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13561-023-00433-y. |
format | Online Article Text |
id | pubmed-10152035 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-101520352023-05-03 Assessing the efficiency of health systems in achieving the universal health coverage goal: evidence from Sub-Saharan Africa Arhin, Kwadwo Oteng-Abayie, Eric Fosu Novignon, Jacob Health Econ Rev Research OBJECTIVE: Universal health coverage (UHC) is a major pathway to save many people from catastrophic and impoverishing healthcare spending and address the inequality in health and healthcare. The objective of this paper is to assess the efficiency with which health systems in sub-Saharan Africa (SSA) are utilizing healthcare resources to progress towards achieving the UHC goal by 2030. METHODS: The study followed the guidelines proposed by the World Health Organization (WHO) and World Bank joint UHC monitoring framework and the computational operationalization approach proposed by Wagstaff et al. (2015) to estimate the UHC index for each of the 30 selected SSA countries. The bootstrapping output-oriented data envelopment analysis (DEA) was used to estimate the bias-corrected technical efficiency scores and examine the environmental factors that influence health system efficiency. RESULTS: The estimated UHC levels ranged from a minimum of 52% to a maximum of 81% [Formula: see text] with a median coverage of 66%. The average bias-corrected efficiency score was 0.81 [Formula: see text] . The study found that education, governance quality, public health spending, external health funding, and prepayment arrangements that pool funds for health had a positive significant effect on health system efficiency in improving UHC, while out-of-pocket payment had a negative impact. CONCLUSION: The results show that health systems in SSA can potentially enhance UHC levels by at least 19% with existing healthcare resources if best practices are adopted. Policymakers should aim at improving education, good governance, and healthcare financing architecture to reduce out-of-pocket payments and over-reliance on donor funding for healthcare to achieve UHC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13561-023-00433-y. Springer Berlin Heidelberg 2023-05-02 /pmc/articles/PMC10152035/ /pubmed/37129773 http://dx.doi.org/10.1186/s13561-023-00433-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 | Research Arhin, Kwadwo Oteng-Abayie, Eric Fosu Novignon, Jacob Assessing the efficiency of health systems in achieving the universal health coverage goal: evidence from Sub-Saharan Africa |
title | Assessing the efficiency of health systems in achieving the universal health coverage goal: evidence from Sub-Saharan Africa |
title_full | Assessing the efficiency of health systems in achieving the universal health coverage goal: evidence from Sub-Saharan Africa |
title_fullStr | Assessing the efficiency of health systems in achieving the universal health coverage goal: evidence from Sub-Saharan Africa |
title_full_unstemmed | Assessing the efficiency of health systems in achieving the universal health coverage goal: evidence from Sub-Saharan Africa |
title_short | Assessing the efficiency of health systems in achieving the universal health coverage goal: evidence from Sub-Saharan Africa |
title_sort | assessing the efficiency of health systems in achieving the universal health coverage goal: evidence from sub-saharan africa |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10152035/ https://www.ncbi.nlm.nih.gov/pubmed/37129773 http://dx.doi.org/10.1186/s13561-023-00433-y |
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