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Predictors of Health-Care Workers’ Unwillingness to Continue Working During the Peak of COVID-19 in Western Ethiopia: An Extended Parallel-Process Model Study

PURPOSE: Willingness to work in disasters is context-specific and corresponds to the nature, magnitude, and threats posed by a particular public health emergency. None us is certain that our health professionals will continue to provide service should the COVID-19 pandemic crisis climb to its worst...

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Autores principales: Woyessa, Ashenafi Habte, Oluma, Adugna, Palanichamy, Thanasekaran, Kebede, Birtukan, Abdissa, Eba, Labata, Busha Gamachu, Alemu, Tamirat, Assefa, Lamessa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7982702/
https://www.ncbi.nlm.nih.gov/pubmed/33762859
http://dx.doi.org/10.2147/RMHP.S288003
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author Woyessa, Ashenafi Habte
Oluma, Adugna
Palanichamy, Thanasekaran
Kebede, Birtukan
Abdissa, Eba
Labata, Busha Gamachu
Alemu, Tamirat
Assefa, Lamessa
author_facet Woyessa, Ashenafi Habte
Oluma, Adugna
Palanichamy, Thanasekaran
Kebede, Birtukan
Abdissa, Eba
Labata, Busha Gamachu
Alemu, Tamirat
Assefa, Lamessa
author_sort Woyessa, Ashenafi Habte
collection PubMed
description PURPOSE: Willingness to work in disasters is context-specific and corresponds to the nature, magnitude, and threats posed by a particular public health emergency. None us is certain that our health professionals will continue to provide service should the COVID-19 pandemic crisis climb to its worst level. It was with this uncertainty in mind that this study was done to assess predictors of the unwillingness of health-care workers (HCWs) to continue providing their professional services during the climax of the COVID-19 crisis. METHODS: This was a facility-based descriptive cross-sectional study undertaken among 633 HCWsin western Ethiopia. RESULTS: Overall, 205 (32.4%) providers said that they would be unwilling to continue work if COVID-19 peaked. Of these, 176 (27.9%) respondents reported that they would stop going in to work before they were at greatest risk. Statistical analysis performed to predict HCWs unwillingness’ to continue work at peak COVID-19 showed male sex (AOR 11.4, 95% CI 8.32–12.6), younger age (AOR 25.3, 95% CI 4.61–40.67), lack of experience in handling similar pandemics (AOR 5.15, 95% CI 1.1–255), and low perceived level of hospital preparedness (AOR 2.05, 95% CI 0.80–5.21) were predictors of unwillingness. In accordance with the extended parallel-process model, higher threat perception (P≤0.001) and low efficacy perception (P≤0.040) were associated with unwillingness of the HCWs to continue working. CONCLUSION: The proportion of HCWs unwilling to continue their job during COVID-19 is sufficient to affect efforts tof fight the pandemic. As the question of whether our HCWs must risk themselves to treat COVID-19 patients does not have a uniform answer, working on predictors of potential unwillingness is of paramount importance.
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spelling pubmed-79827022021-03-23 Predictors of Health-Care Workers’ Unwillingness to Continue Working During the Peak of COVID-19 in Western Ethiopia: An Extended Parallel-Process Model Study Woyessa, Ashenafi Habte Oluma, Adugna Palanichamy, Thanasekaran Kebede, Birtukan Abdissa, Eba Labata, Busha Gamachu Alemu, Tamirat Assefa, Lamessa Risk Manag Healthc Policy Original Research PURPOSE: Willingness to work in disasters is context-specific and corresponds to the nature, magnitude, and threats posed by a particular public health emergency. None us is certain that our health professionals will continue to provide service should the COVID-19 pandemic crisis climb to its worst level. It was with this uncertainty in mind that this study was done to assess predictors of the unwillingness of health-care workers (HCWs) to continue providing their professional services during the climax of the COVID-19 crisis. METHODS: This was a facility-based descriptive cross-sectional study undertaken among 633 HCWsin western Ethiopia. RESULTS: Overall, 205 (32.4%) providers said that they would be unwilling to continue work if COVID-19 peaked. Of these, 176 (27.9%) respondents reported that they would stop going in to work before they were at greatest risk. Statistical analysis performed to predict HCWs unwillingness’ to continue work at peak COVID-19 showed male sex (AOR 11.4, 95% CI 8.32–12.6), younger age (AOR 25.3, 95% CI 4.61–40.67), lack of experience in handling similar pandemics (AOR 5.15, 95% CI 1.1–255), and low perceived level of hospital preparedness (AOR 2.05, 95% CI 0.80–5.21) were predictors of unwillingness. In accordance with the extended parallel-process model, higher threat perception (P≤0.001) and low efficacy perception (P≤0.040) were associated with unwillingness of the HCWs to continue working. CONCLUSION: The proportion of HCWs unwilling to continue their job during COVID-19 is sufficient to affect efforts tof fight the pandemic. As the question of whether our HCWs must risk themselves to treat COVID-19 patients does not have a uniform answer, working on predictors of potential unwillingness is of paramount importance. Dove 2021-03-17 /pmc/articles/PMC7982702/ /pubmed/33762859 http://dx.doi.org/10.2147/RMHP.S288003 Text en © 2021 Woyessa et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Woyessa, Ashenafi Habte
Oluma, Adugna
Palanichamy, Thanasekaran
Kebede, Birtukan
Abdissa, Eba
Labata, Busha Gamachu
Alemu, Tamirat
Assefa, Lamessa
Predictors of Health-Care Workers’ Unwillingness to Continue Working During the Peak of COVID-19 in Western Ethiopia: An Extended Parallel-Process Model Study
title Predictors of Health-Care Workers’ Unwillingness to Continue Working During the Peak of COVID-19 in Western Ethiopia: An Extended Parallel-Process Model Study
title_full Predictors of Health-Care Workers’ Unwillingness to Continue Working During the Peak of COVID-19 in Western Ethiopia: An Extended Parallel-Process Model Study
title_fullStr Predictors of Health-Care Workers’ Unwillingness to Continue Working During the Peak of COVID-19 in Western Ethiopia: An Extended Parallel-Process Model Study
title_full_unstemmed Predictors of Health-Care Workers’ Unwillingness to Continue Working During the Peak of COVID-19 in Western Ethiopia: An Extended Parallel-Process Model Study
title_short Predictors of Health-Care Workers’ Unwillingness to Continue Working During the Peak of COVID-19 in Western Ethiopia: An Extended Parallel-Process Model Study
title_sort predictors of health-care workers’ unwillingness to continue working during the peak of covid-19 in western ethiopia: an extended parallel-process model study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7982702/
https://www.ncbi.nlm.nih.gov/pubmed/33762859
http://dx.doi.org/10.2147/RMHP.S288003
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