Cargando…
Determinants, predictors and negative impacts of burnout among health care workers during COVID-19 pandemic
The first defense line of the battle, healthcare workers (HCWs), faces a significant challenge in managing the current COVID-19 pandemic. An online electronic survey was sent to HCWs via email and social media networks. Socio-demographic data and work environment-related variables were assessed. Con...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier B.V. on behalf of King Saud University.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9650511/ https://www.ncbi.nlm.nih.gov/pubmed/36405649 http://dx.doi.org/10.1016/j.jksus.2022.102441 |
_version_ | 1784828036792713216 |
---|---|
author | Al-Otaibi, Torki Abbas, Ahmad Ashry Gheith, Osama Nair, Prasad Zahab, Mohamed A. Hammouda, Mryhan A.A. Farid, Mahmoud M. Aljowaie, Reem M. AlKubaisi, Noorah A. Mohamed, Eman Fouad Abassi, Arshad Mehmood Eisa, Yasmine H. |
author_facet | Al-Otaibi, Torki Abbas, Ahmad Ashry Gheith, Osama Nair, Prasad Zahab, Mohamed A. Hammouda, Mryhan A.A. Farid, Mahmoud M. Aljowaie, Reem M. AlKubaisi, Noorah A. Mohamed, Eman Fouad Abassi, Arshad Mehmood Eisa, Yasmine H. |
author_sort | Al-Otaibi, Torki |
collection | PubMed |
description | The first defense line of the battle, healthcare workers (HCWs), faces a significant challenge in managing the current COVID-19 pandemic. An online electronic survey was sent to HCWs via email and social media networks. Socio-demographic data and work environment-related variables were assessed. Consequences of burnout (BO) were reported, e.g., elicited medical errors. Maslach burnout inventory was used to diagnose BO. Two hundred and eighty-four participants were included with a mean age of 39.83 ± 7.34 years, 70.8% worked in the COVID-19 frontline, 91.9% were followed daily updates about COVID-19, 63.7% were not satisfied with the coordination between triage and isolation, 64.4% got COVID-19 infection, 91.9% had a colleague or family member developed COVID-19 infection, and 21.5% experienced a colleague /a family member died due to COVID-19. Multivariate analysis by linear regression revealed that; working as a frontline HCW (OR 1.28, CI = 0.14–2.55) and sleep deprivation (OR 3.93, CI = 1.88–8.22) were the predictors of burnout. |
format | Online Article Text |
id | pubmed-9650511 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Authors. Published by Elsevier B.V. on behalf of King Saud University. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96505112022-11-14 Determinants, predictors and negative impacts of burnout among health care workers during COVID-19 pandemic Al-Otaibi, Torki Abbas, Ahmad Ashry Gheith, Osama Nair, Prasad Zahab, Mohamed A. Hammouda, Mryhan A.A. Farid, Mahmoud M. Aljowaie, Reem M. AlKubaisi, Noorah A. Mohamed, Eman Fouad Abassi, Arshad Mehmood Eisa, Yasmine H. J King Saud Univ Sci Original Article The first defense line of the battle, healthcare workers (HCWs), faces a significant challenge in managing the current COVID-19 pandemic. An online electronic survey was sent to HCWs via email and social media networks. Socio-demographic data and work environment-related variables were assessed. Consequences of burnout (BO) were reported, e.g., elicited medical errors. Maslach burnout inventory was used to diagnose BO. Two hundred and eighty-four participants were included with a mean age of 39.83 ± 7.34 years, 70.8% worked in the COVID-19 frontline, 91.9% were followed daily updates about COVID-19, 63.7% were not satisfied with the coordination between triage and isolation, 64.4% got COVID-19 infection, 91.9% had a colleague or family member developed COVID-19 infection, and 21.5% experienced a colleague /a family member died due to COVID-19. Multivariate analysis by linear regression revealed that; working as a frontline HCW (OR 1.28, CI = 0.14–2.55) and sleep deprivation (OR 3.93, CI = 1.88–8.22) were the predictors of burnout. The Authors. Published by Elsevier B.V. on behalf of King Saud University. 2023-01 2022-11-11 /pmc/articles/PMC9650511/ /pubmed/36405649 http://dx.doi.org/10.1016/j.jksus.2022.102441 Text en © 2022 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Original Article Al-Otaibi, Torki Abbas, Ahmad Ashry Gheith, Osama Nair, Prasad Zahab, Mohamed A. Hammouda, Mryhan A.A. Farid, Mahmoud M. Aljowaie, Reem M. AlKubaisi, Noorah A. Mohamed, Eman Fouad Abassi, Arshad Mehmood Eisa, Yasmine H. Determinants, predictors and negative impacts of burnout among health care workers during COVID-19 pandemic |
title | Determinants, predictors and negative impacts of burnout among health care workers during COVID-19 pandemic |
title_full | Determinants, predictors and negative impacts of burnout among health care workers during COVID-19 pandemic |
title_fullStr | Determinants, predictors and negative impacts of burnout among health care workers during COVID-19 pandemic |
title_full_unstemmed | Determinants, predictors and negative impacts of burnout among health care workers during COVID-19 pandemic |
title_short | Determinants, predictors and negative impacts of burnout among health care workers during COVID-19 pandemic |
title_sort | determinants, predictors and negative impacts of burnout among health care workers during covid-19 pandemic |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9650511/ https://www.ncbi.nlm.nih.gov/pubmed/36405649 http://dx.doi.org/10.1016/j.jksus.2022.102441 |
work_keys_str_mv | AT alotaibitorki determinantspredictorsandnegativeimpactsofburnoutamonghealthcareworkersduringcovid19pandemic AT abbasahmad determinantspredictorsandnegativeimpactsofburnoutamonghealthcareworkersduringcovid19pandemic AT ashrygheithosama determinantspredictorsandnegativeimpactsofburnoutamonghealthcareworkersduringcovid19pandemic AT nairprasad determinantspredictorsandnegativeimpactsofburnoutamonghealthcareworkersduringcovid19pandemic AT zahabmohameda determinantspredictorsandnegativeimpactsofburnoutamonghealthcareworkersduringcovid19pandemic AT hammoudamryhanaa determinantspredictorsandnegativeimpactsofburnoutamonghealthcareworkersduringcovid19pandemic AT faridmahmoudm determinantspredictorsandnegativeimpactsofburnoutamonghealthcareworkersduringcovid19pandemic AT aljowaiereemm determinantspredictorsandnegativeimpactsofburnoutamonghealthcareworkersduringcovid19pandemic AT alkubaisinooraha determinantspredictorsandnegativeimpactsofburnoutamonghealthcareworkersduringcovid19pandemic AT mohamedemanfouad determinantspredictorsandnegativeimpactsofburnoutamonghealthcareworkersduringcovid19pandemic AT abassiarshadmehmood determinantspredictorsandnegativeimpactsofburnoutamonghealthcareworkersduringcovid19pandemic AT eisayasmineh determinantspredictorsandnegativeimpactsofburnoutamonghealthcareworkersduringcovid19pandemic |