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Management of human resources for health: implications for health systems efficiency in Kenya
BACKGROUND: Human resources for health consume a substantial share of healthcare resources and determine the efficiency and overall performance of health systems. Under Kenya’s devolved governance, human resources for health are managed by county governments. The aim of this study was to examine how...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9382760/ https://www.ncbi.nlm.nih.gov/pubmed/35974324 http://dx.doi.org/10.1186/s12913-022-08432-1 |
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author | Nyawira, Lizah Tsofa, Benjamin Musiega, Anita Munywoki, Joshua Njuguna, Rebecca G. Hanson, Kara Mulwa, Andrew Molyneux, Sassy Maina, Isabel Normand, Charles Jemutai, Julie Barasa, Edwine |
author_facet | Nyawira, Lizah Tsofa, Benjamin Musiega, Anita Munywoki, Joshua Njuguna, Rebecca G. Hanson, Kara Mulwa, Andrew Molyneux, Sassy Maina, Isabel Normand, Charles Jemutai, Julie Barasa, Edwine |
author_sort | Nyawira, Lizah |
collection | PubMed |
description | BACKGROUND: Human resources for health consume a substantial share of healthcare resources and determine the efficiency and overall performance of health systems. Under Kenya’s devolved governance, human resources for health are managed by county governments. The aim of this study was to examine how the management of human resources for health influences the efficiency of county health systems in Kenya. METHODS: We conducted a case study using a mixed methods approach in two purposively selected counties in Kenya. We collected data through in-depth interviews (n = 46) with national and county level HRH stakeholders, and document and secondary data reviews. We analyzed qualitative data using a thematic approach, and quantitative data using descriptive analysis. RESULTS: Human resources for health in the selected counties was inadequately financed and there were an insufficient number of health workers, which compromised the input mix of the health system. The scarcity of medical specialists led to inappropriate task shifting where nonspecialized staff took on the roles of specialists with potential undesired impacts on quality of care and health outcomes. The maldistribution of staff in favor of higher-level facilities led to unnecessary referrals to higher level (referral) hospitals and compromised quality of primary healthcare. Delayed salaries, non-harmonized contractual terms and incentives reduced the motivation of health workers. All of these effects are likely to have negative effects on health system efficiency. CONCLUSIONS: Human resources for health management in counties in Kenya could be reformed with likely positive implications for county health system efficiency by increasing the level of funding, resolving funding flow challenges to address the delay of salaries, addressing skill mix challenges, prioritizing the allocation of health workers to lower-level facilities, harmonizing the contractual terms and incentives of health workers, and strengthening monitoring and supervision. |
format | Online Article Text |
id | pubmed-9382760 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-93827602022-08-18 Management of human resources for health: implications for health systems efficiency in Kenya Nyawira, Lizah Tsofa, Benjamin Musiega, Anita Munywoki, Joshua Njuguna, Rebecca G. Hanson, Kara Mulwa, Andrew Molyneux, Sassy Maina, Isabel Normand, Charles Jemutai, Julie Barasa, Edwine BMC Health Serv Res Research BACKGROUND: Human resources for health consume a substantial share of healthcare resources and determine the efficiency and overall performance of health systems. Under Kenya’s devolved governance, human resources for health are managed by county governments. The aim of this study was to examine how the management of human resources for health influences the efficiency of county health systems in Kenya. METHODS: We conducted a case study using a mixed methods approach in two purposively selected counties in Kenya. We collected data through in-depth interviews (n = 46) with national and county level HRH stakeholders, and document and secondary data reviews. We analyzed qualitative data using a thematic approach, and quantitative data using descriptive analysis. RESULTS: Human resources for health in the selected counties was inadequately financed and there were an insufficient number of health workers, which compromised the input mix of the health system. The scarcity of medical specialists led to inappropriate task shifting where nonspecialized staff took on the roles of specialists with potential undesired impacts on quality of care and health outcomes. The maldistribution of staff in favor of higher-level facilities led to unnecessary referrals to higher level (referral) hospitals and compromised quality of primary healthcare. Delayed salaries, non-harmonized contractual terms and incentives reduced the motivation of health workers. All of these effects are likely to have negative effects on health system efficiency. CONCLUSIONS: Human resources for health management in counties in Kenya could be reformed with likely positive implications for county health system efficiency by increasing the level of funding, resolving funding flow challenges to address the delay of salaries, addressing skill mix challenges, prioritizing the allocation of health workers to lower-level facilities, harmonizing the contractual terms and incentives of health workers, and strengthening monitoring and supervision. BioMed Central 2022-08-16 /pmc/articles/PMC9382760/ /pubmed/35974324 http://dx.doi.org/10.1186/s12913-022-08432-1 Text en © The Author(s) 2022 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 Nyawira, Lizah Tsofa, Benjamin Musiega, Anita Munywoki, Joshua Njuguna, Rebecca G. Hanson, Kara Mulwa, Andrew Molyneux, Sassy Maina, Isabel Normand, Charles Jemutai, Julie Barasa, Edwine Management of human resources for health: implications for health systems efficiency in Kenya |
title | Management of human resources for health: implications for health systems efficiency in Kenya |
title_full | Management of human resources for health: implications for health systems efficiency in Kenya |
title_fullStr | Management of human resources for health: implications for health systems efficiency in Kenya |
title_full_unstemmed | Management of human resources for health: implications for health systems efficiency in Kenya |
title_short | Management of human resources for health: implications for health systems efficiency in Kenya |
title_sort | management of human resources for health: implications for health systems efficiency in kenya |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9382760/ https://www.ncbi.nlm.nih.gov/pubmed/35974324 http://dx.doi.org/10.1186/s12913-022-08432-1 |
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