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Understanding the factors affecting attrition and intention to leave of health extension workers: a mixed methods study in Ethiopia
BACKGROUND: The Health Extension Program (HEP) is Ethiopia’s flagship community health program, launched in 2003. Health Extension Workers (HEWs) are key vehicles for the delivery of the HEP. While it is believed that there is high attrition among HEWs, the magnitude of or reasons for attrition is u...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8858524/ https://www.ncbi.nlm.nih.gov/pubmed/35183209 http://dx.doi.org/10.1186/s12960-022-00716-1 |
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author | Tekle, Merhawi Gebremedhin Wolde, Habtamu Milkias Medhin, Girmay Teklu, Alula M. Alemayehu, Yibeltal Kiflie Gebre, Esie Gebrewahd Bekele, Frehiwot Arora, Nikita |
author_facet | Tekle, Merhawi Gebremedhin Wolde, Habtamu Milkias Medhin, Girmay Teklu, Alula M. Alemayehu, Yibeltal Kiflie Gebre, Esie Gebrewahd Bekele, Frehiwot Arora, Nikita |
author_sort | Tekle, Merhawi Gebremedhin |
collection | PubMed |
description | BACKGROUND: The Health Extension Program (HEP) is Ethiopia’s flagship community health program, launched in 2003. Health Extension Workers (HEWs) are key vehicles for the delivery of the HEP. While it is believed that there is high attrition among HEWs, the magnitude of or reasons for attrition is unknown. Their intention to leave their jobs in the next 5 years has also never been investigated on a national scale. This study aimed to assess the magnitude of, and factors affecting HEWs’ attrition and intention to leave in Ethiopia. METHODS: The study used mixed methods to address the research objectives. Using stratified random sampling and regions as strata, 85 districts from nine regions were randomly selected in Ethiopia. Within each study district, six kebeles (village clusters) were randomly selected, and all HEWs working in these kebeles were interviewed to capture their 5-year intention to leave. The study team developed a data-extraction tool for a rapid review of district-level documents covering the period June 30, 2004 through June 30, 2019 to gather their attrition figures. We used survival analysis to model attrition data and checked model goodness-of-fit using the Cox–Snell residual test. We additionally collected qualitative data from HEWs who had left their positions. RESULTS: The attrition of HEWS over the lifespan of the HEP was 21.1% (95% CI 17.5–25.3%), and the median time to exit from HEWs workforce was 5.8 years. The incidence rate was 3.1% [95% CI 2.8–3.4]. The risk of attrition was lower amongst HEWs with level four certifications, with children, and among those working in urban settings. By contrast, HEWs who were not certified with a certificate of competency (COC), who were deployed after 2008, and those who were diploma/degree holders were more likely to exit the HEWs workforce. The magnitude of intention to leave was 39.5% (95% CI 32.5–47%) and the primary reasons to leave were low incentives, dearth of career development opportunities (50.8%), high workload (24.2%), and other psychosocial factors (25%). CONCLUSION: Although the magnitude of attrition is not worryingly high, we see high magnitude in HEWs’ intention to leave, indicating a dissatisfied workforce. Multiple factors have contributed to attrition and intention to leave, the prevalence of many of which can be reduced to fit the needs of this workforce and to retain them for the sustained delivery of primary healthcare in the country. Ensuring HEWs’ job satisfaction is important and linked with their career development and potentially higher rates of retention. |
format | Online Article Text |
id | pubmed-8858524 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-88585242022-02-23 Understanding the factors affecting attrition and intention to leave of health extension workers: a mixed methods study in Ethiopia Tekle, Merhawi Gebremedhin Wolde, Habtamu Milkias Medhin, Girmay Teklu, Alula M. Alemayehu, Yibeltal Kiflie Gebre, Esie Gebrewahd Bekele, Frehiwot Arora, Nikita Hum Resour Health Research BACKGROUND: The Health Extension Program (HEP) is Ethiopia’s flagship community health program, launched in 2003. Health Extension Workers (HEWs) are key vehicles for the delivery of the HEP. While it is believed that there is high attrition among HEWs, the magnitude of or reasons for attrition is unknown. Their intention to leave their jobs in the next 5 years has also never been investigated on a national scale. This study aimed to assess the magnitude of, and factors affecting HEWs’ attrition and intention to leave in Ethiopia. METHODS: The study used mixed methods to address the research objectives. Using stratified random sampling and regions as strata, 85 districts from nine regions were randomly selected in Ethiopia. Within each study district, six kebeles (village clusters) were randomly selected, and all HEWs working in these kebeles were interviewed to capture their 5-year intention to leave. The study team developed a data-extraction tool for a rapid review of district-level documents covering the period June 30, 2004 through June 30, 2019 to gather their attrition figures. We used survival analysis to model attrition data and checked model goodness-of-fit using the Cox–Snell residual test. We additionally collected qualitative data from HEWs who had left their positions. RESULTS: The attrition of HEWS over the lifespan of the HEP was 21.1% (95% CI 17.5–25.3%), and the median time to exit from HEWs workforce was 5.8 years. The incidence rate was 3.1% [95% CI 2.8–3.4]. The risk of attrition was lower amongst HEWs with level four certifications, with children, and among those working in urban settings. By contrast, HEWs who were not certified with a certificate of competency (COC), who were deployed after 2008, and those who were diploma/degree holders were more likely to exit the HEWs workforce. The magnitude of intention to leave was 39.5% (95% CI 32.5–47%) and the primary reasons to leave were low incentives, dearth of career development opportunities (50.8%), high workload (24.2%), and other psychosocial factors (25%). CONCLUSION: Although the magnitude of attrition is not worryingly high, we see high magnitude in HEWs’ intention to leave, indicating a dissatisfied workforce. Multiple factors have contributed to attrition and intention to leave, the prevalence of many of which can be reduced to fit the needs of this workforce and to retain them for the sustained delivery of primary healthcare in the country. Ensuring HEWs’ job satisfaction is important and linked with their career development and potentially higher rates of retention. BioMed Central 2022-02-19 /pmc/articles/PMC8858524/ /pubmed/35183209 http://dx.doi.org/10.1186/s12960-022-00716-1 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 Tekle, Merhawi Gebremedhin Wolde, Habtamu Milkias Medhin, Girmay Teklu, Alula M. Alemayehu, Yibeltal Kiflie Gebre, Esie Gebrewahd Bekele, Frehiwot Arora, Nikita Understanding the factors affecting attrition and intention to leave of health extension workers: a mixed methods study in Ethiopia |
title | Understanding the factors affecting attrition and intention to leave of health extension workers: a mixed methods study in Ethiopia |
title_full | Understanding the factors affecting attrition and intention to leave of health extension workers: a mixed methods study in Ethiopia |
title_fullStr | Understanding the factors affecting attrition and intention to leave of health extension workers: a mixed methods study in Ethiopia |
title_full_unstemmed | Understanding the factors affecting attrition and intention to leave of health extension workers: a mixed methods study in Ethiopia |
title_short | Understanding the factors affecting attrition and intention to leave of health extension workers: a mixed methods study in Ethiopia |
title_sort | understanding the factors affecting attrition and intention to leave of health extension workers: a mixed methods study in ethiopia |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8858524/ https://www.ncbi.nlm.nih.gov/pubmed/35183209 http://dx.doi.org/10.1186/s12960-022-00716-1 |
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