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Factors Predicting Ethiopian Anesthetists’ Intention to Leave Their Job

BACKGROUND: Ethiopia has rapidly expanded training programs for associate clinician anesthetists in order to address shortages of anesthesia providers. However, retaining them in the public health sector has proven challenging. This study aimed to determine anesthetists’ intentions to leave their jo...

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Autores principales: Kols, Adrienne, Kibwana, Sharon, Molla, Yohannes, Ayalew, Firew, Teshome, Mihereteab, van Roosmalen, Jos, Stekelenburg, Jelle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5895675/
https://www.ncbi.nlm.nih.gov/pubmed/29110158
http://dx.doi.org/10.1007/s00268-017-4318-7
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author Kols, Adrienne
Kibwana, Sharon
Molla, Yohannes
Ayalew, Firew
Teshome, Mihereteab
van Roosmalen, Jos
Stekelenburg, Jelle
author_facet Kols, Adrienne
Kibwana, Sharon
Molla, Yohannes
Ayalew, Firew
Teshome, Mihereteab
van Roosmalen, Jos
Stekelenburg, Jelle
author_sort Kols, Adrienne
collection PubMed
description BACKGROUND: Ethiopia has rapidly expanded training programs for associate clinician anesthetists in order to address shortages of anesthesia providers. However, retaining them in the public health sector has proven challenging. This study aimed to determine anesthetists’ intentions to leave their jobs and identify factors that predict turnover intentions. METHODS: A nationally representative, cross-sectional survey of 251 anesthetists working in public-sector hospitals in Ethiopia was conducted in 2014. Respondents were asked whether they planned to leave the job in the next year and what factors they considered important when making decisions to quit. Bivariate and multivariable logistic regressions were conducted to investigate 16 potential predictors of turnover intentions, including personal and facility characteristics as well as decision-making factors. RESULTS: Almost half (n = 120; 47.8%) of anesthetists planned to leave their jobs in the next year, and turnover intentions peaked among those with 2–5 years of experience. Turnover intentions were not associated with the compulsory service obligation. Anesthetists rated salary and opportunities for professional development as the most important factors in decisions to quit. Five predictors of turnover intentions were significant in the multivariable model: younger age, working at a district rather than regional or referral hospital, the perceived importance of living conditions, opportunities for professional development, and conditions at the workplace. CONCLUSIONS: Human resources strategies focused on improving living conditions for anesthetists and expanding professional development opportunities may increase retention. Special attention should be focused on younger anesthetists and those posted at district hospitals. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00268-017-4318-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-58956752018-04-16 Factors Predicting Ethiopian Anesthetists’ Intention to Leave Their Job Kols, Adrienne Kibwana, Sharon Molla, Yohannes Ayalew, Firew Teshome, Mihereteab van Roosmalen, Jos Stekelenburg, Jelle World J Surg Original Scientific Report BACKGROUND: Ethiopia has rapidly expanded training programs for associate clinician anesthetists in order to address shortages of anesthesia providers. However, retaining them in the public health sector has proven challenging. This study aimed to determine anesthetists’ intentions to leave their jobs and identify factors that predict turnover intentions. METHODS: A nationally representative, cross-sectional survey of 251 anesthetists working in public-sector hospitals in Ethiopia was conducted in 2014. Respondents were asked whether they planned to leave the job in the next year and what factors they considered important when making decisions to quit. Bivariate and multivariable logistic regressions were conducted to investigate 16 potential predictors of turnover intentions, including personal and facility characteristics as well as decision-making factors. RESULTS: Almost half (n = 120; 47.8%) of anesthetists planned to leave their jobs in the next year, and turnover intentions peaked among those with 2–5 years of experience. Turnover intentions were not associated with the compulsory service obligation. Anesthetists rated salary and opportunities for professional development as the most important factors in decisions to quit. Five predictors of turnover intentions were significant in the multivariable model: younger age, working at a district rather than regional or referral hospital, the perceived importance of living conditions, opportunities for professional development, and conditions at the workplace. CONCLUSIONS: Human resources strategies focused on improving living conditions for anesthetists and expanding professional development opportunities may increase retention. Special attention should be focused on younger anesthetists and those posted at district hospitals. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00268-017-4318-7) contains supplementary material, which is available to authorized users. Springer International Publishing 2017-11-06 2018 /pmc/articles/PMC5895675/ /pubmed/29110158 http://dx.doi.org/10.1007/s00268-017-4318-7 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Scientific Report
Kols, Adrienne
Kibwana, Sharon
Molla, Yohannes
Ayalew, Firew
Teshome, Mihereteab
van Roosmalen, Jos
Stekelenburg, Jelle
Factors Predicting Ethiopian Anesthetists’ Intention to Leave Their Job
title Factors Predicting Ethiopian Anesthetists’ Intention to Leave Their Job
title_full Factors Predicting Ethiopian Anesthetists’ Intention to Leave Their Job
title_fullStr Factors Predicting Ethiopian Anesthetists’ Intention to Leave Their Job
title_full_unstemmed Factors Predicting Ethiopian Anesthetists’ Intention to Leave Their Job
title_short Factors Predicting Ethiopian Anesthetists’ Intention to Leave Their Job
title_sort factors predicting ethiopian anesthetists’ intention to leave their job
topic Original Scientific Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5895675/
https://www.ncbi.nlm.nih.gov/pubmed/29110158
http://dx.doi.org/10.1007/s00268-017-4318-7
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