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Performance assessment of the county healthcare systems in Kenya: a mixed-methods analysis

INTRODUCTION: A well performing public healthcare system is necessary for Kenya to continue progress towards universal health coverage (UHC). Identifying actionable measures to improve the performance of the public healthcare system is critical to progress towards UHC. We aimed to measure and compar...

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Autores principales: Moses, Mark W, Korir, Julius, Zeng, Wu, Musiega, Anita, Oyasi, Joyce, Lu, Ruoyan, Chuma, Jane, Di Giorgio, Laura
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8230973/
https://www.ncbi.nlm.nih.gov/pubmed/34167962
http://dx.doi.org/10.1136/bmjgh-2020-004707
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author Moses, Mark W
Korir, Julius
Zeng, Wu
Musiega, Anita
Oyasi, Joyce
Lu, Ruoyan
Chuma, Jane
Di Giorgio, Laura
author_facet Moses, Mark W
Korir, Julius
Zeng, Wu
Musiega, Anita
Oyasi, Joyce
Lu, Ruoyan
Chuma, Jane
Di Giorgio, Laura
author_sort Moses, Mark W
collection PubMed
description INTRODUCTION: A well performing public healthcare system is necessary for Kenya to continue progress towards universal health coverage (UHC). Identifying actionable measures to improve the performance of the public healthcare system is critical to progress towards UHC. We aimed to measure and compare the performance of Kenya’s public healthcare system at the county level and explore remediable drivers of poor healthcare system performance. METHODS: Using administrative data from fiscal year 2014/2015 through fiscal year 2017/2018, we measured the technical efficiency of 47 county-level public healthcare systems in Kenya using stochastic frontier analysis. We then regressed the technical efficiency measure against a set of explanatory variables to examine drivers of efficiency. Additionally, in selected counties, we analysed surveys and focus group discussions to qualitatively understand factors affecting performance. RESULTS: The median technical efficiency of county public healthcare systems was 84% in fiscal year 2017/2018 (with an IQR of 79% to 90%). Across the four fiscal years of data, 27 out of the 47 Kenyan counties had a declining technical efficiency score. Our regression analysis indicated that impediments to the flow of funding—measured by the budget absorption rate which is the ratio between funds spent and funds released—were significantly related to poor healthcare system performance. Our analysis of interviews and surveys yielded a similar conclusion as nearly 50% of respondents indicated issues stemming from poor budget absorption were significant drivers of poor healthcare system performance. CONCLUSION: Public healthcare systems at the county-level in Kenya general performed well; however, addressing delays in the flow of funding is a concrete step to improve healthcare system performance. As Kenya—and other countries—provides additional funding to meet their UHC goals, establishing a strong and robust public financial management system is critical to ensure that the benefits of UHC are realised.
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spelling pubmed-82309732021-07-09 Performance assessment of the county healthcare systems in Kenya: a mixed-methods analysis Moses, Mark W Korir, Julius Zeng, Wu Musiega, Anita Oyasi, Joyce Lu, Ruoyan Chuma, Jane Di Giorgio, Laura BMJ Glob Health Original Research INTRODUCTION: A well performing public healthcare system is necessary for Kenya to continue progress towards universal health coverage (UHC). Identifying actionable measures to improve the performance of the public healthcare system is critical to progress towards UHC. We aimed to measure and compare the performance of Kenya’s public healthcare system at the county level and explore remediable drivers of poor healthcare system performance. METHODS: Using administrative data from fiscal year 2014/2015 through fiscal year 2017/2018, we measured the technical efficiency of 47 county-level public healthcare systems in Kenya using stochastic frontier analysis. We then regressed the technical efficiency measure against a set of explanatory variables to examine drivers of efficiency. Additionally, in selected counties, we analysed surveys and focus group discussions to qualitatively understand factors affecting performance. RESULTS: The median technical efficiency of county public healthcare systems was 84% in fiscal year 2017/2018 (with an IQR of 79% to 90%). Across the four fiscal years of data, 27 out of the 47 Kenyan counties had a declining technical efficiency score. Our regression analysis indicated that impediments to the flow of funding—measured by the budget absorption rate which is the ratio between funds spent and funds released—were significantly related to poor healthcare system performance. Our analysis of interviews and surveys yielded a similar conclusion as nearly 50% of respondents indicated issues stemming from poor budget absorption were significant drivers of poor healthcare system performance. CONCLUSION: Public healthcare systems at the county-level in Kenya general performed well; however, addressing delays in the flow of funding is a concrete step to improve healthcare system performance. As Kenya—and other countries—provides additional funding to meet their UHC goals, establishing a strong and robust public financial management system is critical to ensure that the benefits of UHC are realised. BMJ Publishing Group 2021-06-24 /pmc/articles/PMC8230973/ /pubmed/34167962 http://dx.doi.org/10.1136/bmjgh-2020-004707 Text en © International Bank for Reconstruction and Development/The World Bank. Re-use permitted under CC BY 3.0 IGO. Published by BMJ. https://creativecommons.org/licenses/by/3.0/igo/This is an open access article distributed in accordance with the Creative Commons Attribution 3.0 IGO license (CC BY 3.0 IGO), which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, even commercially, provided the original work is properly cited, a link to the licence is given, and there is an indication of whether changes were made. See: https://creativecommons.org/licenses/by/3.0/igo/.
spellingShingle Original Research
Moses, Mark W
Korir, Julius
Zeng, Wu
Musiega, Anita
Oyasi, Joyce
Lu, Ruoyan
Chuma, Jane
Di Giorgio, Laura
Performance assessment of the county healthcare systems in Kenya: a mixed-methods analysis
title Performance assessment of the county healthcare systems in Kenya: a mixed-methods analysis
title_full Performance assessment of the county healthcare systems in Kenya: a mixed-methods analysis
title_fullStr Performance assessment of the county healthcare systems in Kenya: a mixed-methods analysis
title_full_unstemmed Performance assessment of the county healthcare systems in Kenya: a mixed-methods analysis
title_short Performance assessment of the county healthcare systems in Kenya: a mixed-methods analysis
title_sort performance assessment of the county healthcare systems in kenya: a mixed-methods analysis
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8230973/
https://www.ncbi.nlm.nih.gov/pubmed/34167962
http://dx.doi.org/10.1136/bmjgh-2020-004707
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