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Factors Related to Nurses’ Burnout during the First Wave of Coronavirus Disease-19 in a University Hospital in Italy
Safety of healthcare workers in hospitals is a major concern during the COVID-19 pandemic. Being exposed for several working hours per day to infected patients, nurses dealing with COVID-19 face several issues that lead to physical/psychological breakdown. This study focused on burnout and its assoc...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8151382/ https://www.ncbi.nlm.nih.gov/pubmed/34064610 http://dx.doi.org/10.3390/ijerph18105051 |
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author | Bellanti, Francesco Lo Buglio, Aurelio Capuano, Erika Dobrakowski, Michał Kasperczyk, Aleksandra Kasperczyk, Sławomir Ventriglio, Antonio Vendemiale, Gianluigi |
author_facet | Bellanti, Francesco Lo Buglio, Aurelio Capuano, Erika Dobrakowski, Michał Kasperczyk, Aleksandra Kasperczyk, Sławomir Ventriglio, Antonio Vendemiale, Gianluigi |
author_sort | Bellanti, Francesco |
collection | PubMed |
description | Safety of healthcare workers in hospitals is a major concern during the COVID-19 pandemic. Being exposed for several working hours per day to infected patients, nurses dealing with COVID-19 face several issues that lead to physical/psychological breakdown. This study focused on burnout and its associated factors in nurses working in an Italian University Hospital during the first wave of COVID-19 pandemic. We designed a web-based cross-sectional study addressed to nurses working at the University Hospital in Foggia, Italy. The online questionnaire was organized in sections aimed at collecting demographic and occupational variables, including the Maslach Burnout Inventory (MBI) and the Oldenburg Burnout Inventory (OBI). Two hundred and ninety-three nurses agreed to participate. According to MBI, we reported moderate/high emotional exhaustion in 76.5%, depersonalization in 50.2%, and personal gratification in 54.6% of participants. COVID-19-related burnout measured by OBI resulted medium/high in 89.1% of participants. Among demographic and occupational factors, a multivariate regression analysis identified emotional support, consideration of leaving job, and workload as predictive of burnout in nurses. In conclusion, this study suggests that the improvement of employer and family support to nurses, as well as reduction of workload and job-related stress, would contribute to reducing burnout in nurses during COVID-19 pandemics. |
format | Online Article Text |
id | pubmed-8151382 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-81513822021-05-27 Factors Related to Nurses’ Burnout during the First Wave of Coronavirus Disease-19 in a University Hospital in Italy Bellanti, Francesco Lo Buglio, Aurelio Capuano, Erika Dobrakowski, Michał Kasperczyk, Aleksandra Kasperczyk, Sławomir Ventriglio, Antonio Vendemiale, Gianluigi Int J Environ Res Public Health Article Safety of healthcare workers in hospitals is a major concern during the COVID-19 pandemic. Being exposed for several working hours per day to infected patients, nurses dealing with COVID-19 face several issues that lead to physical/psychological breakdown. This study focused on burnout and its associated factors in nurses working in an Italian University Hospital during the first wave of COVID-19 pandemic. We designed a web-based cross-sectional study addressed to nurses working at the University Hospital in Foggia, Italy. The online questionnaire was organized in sections aimed at collecting demographic and occupational variables, including the Maslach Burnout Inventory (MBI) and the Oldenburg Burnout Inventory (OBI). Two hundred and ninety-three nurses agreed to participate. According to MBI, we reported moderate/high emotional exhaustion in 76.5%, depersonalization in 50.2%, and personal gratification in 54.6% of participants. COVID-19-related burnout measured by OBI resulted medium/high in 89.1% of participants. Among demographic and occupational factors, a multivariate regression analysis identified emotional support, consideration of leaving job, and workload as predictive of burnout in nurses. In conclusion, this study suggests that the improvement of employer and family support to nurses, as well as reduction of workload and job-related stress, would contribute to reducing burnout in nurses during COVID-19 pandemics. MDPI 2021-05-11 /pmc/articles/PMC8151382/ /pubmed/34064610 http://dx.doi.org/10.3390/ijerph18105051 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Bellanti, Francesco Lo Buglio, Aurelio Capuano, Erika Dobrakowski, Michał Kasperczyk, Aleksandra Kasperczyk, Sławomir Ventriglio, Antonio Vendemiale, Gianluigi Factors Related to Nurses’ Burnout during the First Wave of Coronavirus Disease-19 in a University Hospital in Italy |
title | Factors Related to Nurses’ Burnout during the First Wave of Coronavirus Disease-19 in a University Hospital in Italy |
title_full | Factors Related to Nurses’ Burnout during the First Wave of Coronavirus Disease-19 in a University Hospital in Italy |
title_fullStr | Factors Related to Nurses’ Burnout during the First Wave of Coronavirus Disease-19 in a University Hospital in Italy |
title_full_unstemmed | Factors Related to Nurses’ Burnout during the First Wave of Coronavirus Disease-19 in a University Hospital in Italy |
title_short | Factors Related to Nurses’ Burnout during the First Wave of Coronavirus Disease-19 in a University Hospital in Italy |
title_sort | factors related to nurses’ burnout during the first wave of coronavirus disease-19 in a university hospital in italy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8151382/ https://www.ncbi.nlm.nih.gov/pubmed/34064610 http://dx.doi.org/10.3390/ijerph18105051 |
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