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The state and significant drivers of health systems efficiency in Africa: A systematic review and meta-analysis

BACKGROUND: Low-and-middle-income countries, especially in Africa, lack the capacity to adequately invest in health systems to attain universal health coverage (UHC). As such, countries must improve efficiency and provide more services within the available resources. This systematic review synthesis...

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Autores principales: Nabyonga-Orem, Juliet, Christmal, Christmals, Addai, Kingsley F, Mwinga, Kasonde, Aidam, Kizito, Nachinab, Gilbert, Namuli, Sylivia, Asamani, James A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Society of Global Health 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10630696/
https://www.ncbi.nlm.nih.gov/pubmed/37934959
http://dx.doi.org/10.7189/jogh.13.04131
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author Nabyonga-Orem, Juliet
Christmal, Christmals
Addai, Kingsley F
Mwinga, Kasonde
Aidam, Kizito
Nachinab, Gilbert
Namuli, Sylivia
Asamani, James A
author_facet Nabyonga-Orem, Juliet
Christmal, Christmals
Addai, Kingsley F
Mwinga, Kasonde
Aidam, Kizito
Nachinab, Gilbert
Namuli, Sylivia
Asamani, James A
author_sort Nabyonga-Orem, Juliet
collection PubMed
description BACKGROUND: Low-and-middle-income countries, especially in Africa, lack the capacity to adequately invest in health systems to attain universal health coverage (UHC). As such, countries must improve efficiency and provide more services within the available resources. This systematic review synthesised evidence on the efficiency of health systems in the African region and its drivers. METHODS: We conducted a systematic literature review guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 statement. Related studies were grouped and meta-analysed, while others were descriptively analysed. We employed a qualitative content synthesis for synthesising the drivers of efficiency. RESULTS: Overall, 39 studies met a predetermined inclusion criterion and were included from a possible 4 609 records retrieved through a rigorous search and selection process. Using a random effects restricted maximum likelihood method, the pooled efficiency score for the Africa region was estimated to be 0.77, implying that on the flip side, health system inefficiency across countries in the African region was approximately 23%. Across 22 studies that used data envelopment analysis to examine efficiency at the level of health facilities and sub-national entities, the efficiency level was 0.67. Facility-level studies tended to estimate low levels of efficiency compared to health system-level studies. Across the 39 studies, 21 significant drivers of inefficiency were reported, including population density of the catchment area, governance, health facility ownership, health facility staff density, national economic status, type of health facility, education index, hospital size and bed occupancy rate. CONCLUSION: With approximately 23% of the inefficiency of health systems in Africa, improving efficiency alone will yield an average of 34% improvement in resource availability, assuming all countries are performing similarly to the frontier countries. However, with the low level of health expenditure per capita in Africa, the efficiency gains alone will be insufficient to meet the minimum funding requirement for UHC. REGISTRATION: PROSPERO: CRD42022318122.
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spelling pubmed-106306962023-11-09 The state and significant drivers of health systems efficiency in Africa: A systematic review and meta-analysis Nabyonga-Orem, Juliet Christmal, Christmals Addai, Kingsley F Mwinga, Kasonde Aidam, Kizito Nachinab, Gilbert Namuli, Sylivia Asamani, James A J Glob Health Articles BACKGROUND: Low-and-middle-income countries, especially in Africa, lack the capacity to adequately invest in health systems to attain universal health coverage (UHC). As such, countries must improve efficiency and provide more services within the available resources. This systematic review synthesised evidence on the efficiency of health systems in the African region and its drivers. METHODS: We conducted a systematic literature review guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 statement. Related studies were grouped and meta-analysed, while others were descriptively analysed. We employed a qualitative content synthesis for synthesising the drivers of efficiency. RESULTS: Overall, 39 studies met a predetermined inclusion criterion and were included from a possible 4 609 records retrieved through a rigorous search and selection process. Using a random effects restricted maximum likelihood method, the pooled efficiency score for the Africa region was estimated to be 0.77, implying that on the flip side, health system inefficiency across countries in the African region was approximately 23%. Across 22 studies that used data envelopment analysis to examine efficiency at the level of health facilities and sub-national entities, the efficiency level was 0.67. Facility-level studies tended to estimate low levels of efficiency compared to health system-level studies. Across the 39 studies, 21 significant drivers of inefficiency were reported, including population density of the catchment area, governance, health facility ownership, health facility staff density, national economic status, type of health facility, education index, hospital size and bed occupancy rate. CONCLUSION: With approximately 23% of the inefficiency of health systems in Africa, improving efficiency alone will yield an average of 34% improvement in resource availability, assuming all countries are performing similarly to the frontier countries. However, with the low level of health expenditure per capita in Africa, the efficiency gains alone will be insufficient to meet the minimum funding requirement for UHC. REGISTRATION: PROSPERO: CRD42022318122. International Society of Global Health 2023-11-09 /pmc/articles/PMC10630696/ /pubmed/37934959 http://dx.doi.org/10.7189/jogh.13.04131 Text en Copyright © 2023 by the Journal of Global Health. All rights reserved. https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License.
spellingShingle Articles
Nabyonga-Orem, Juliet
Christmal, Christmals
Addai, Kingsley F
Mwinga, Kasonde
Aidam, Kizito
Nachinab, Gilbert
Namuli, Sylivia
Asamani, James A
The state and significant drivers of health systems efficiency in Africa: A systematic review and meta-analysis
title The state and significant drivers of health systems efficiency in Africa: A systematic review and meta-analysis
title_full The state and significant drivers of health systems efficiency in Africa: A systematic review and meta-analysis
title_fullStr The state and significant drivers of health systems efficiency in Africa: A systematic review and meta-analysis
title_full_unstemmed The state and significant drivers of health systems efficiency in Africa: A systematic review and meta-analysis
title_short The state and significant drivers of health systems efficiency in Africa: A systematic review and meta-analysis
title_sort state and significant drivers of health systems efficiency in africa: a systematic review and meta-analysis
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10630696/
https://www.ncbi.nlm.nih.gov/pubmed/37934959
http://dx.doi.org/10.7189/jogh.13.04131
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