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Determining levels of nurse burnout during the COVID-19 pandemic and Lebanon’s political and financial collapse

BACKGROUND: The COVID-19 pandemic compounded political and financial pressures on the nursing workforce in Lebanon. The government resigned in October 2019 in response to the popular uprising that called for an end to corruption and economic mismanagement 5 months before the first COVID-19 case appe...

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Autores principales: Clinton, Michael, Bou-Karroum, Karen, Doumit, Myrna Abdullah, Richa, Nathalie, Alameddine, Mohamad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8724641/
https://www.ncbi.nlm.nih.gov/pubmed/34983519
http://dx.doi.org/10.1186/s12912-021-00789-8
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author Clinton, Michael
Bou-Karroum, Karen
Doumit, Myrna Abdullah
Richa, Nathalie
Alameddine, Mohamad
author_facet Clinton, Michael
Bou-Karroum, Karen
Doumit, Myrna Abdullah
Richa, Nathalie
Alameddine, Mohamad
author_sort Clinton, Michael
collection PubMed
description BACKGROUND: The COVID-19 pandemic compounded political and financial pressures on the nursing workforce in Lebanon. The government resigned in October 2019 in response to the popular uprising that called for an end to corruption and economic mismanagement 5 months before the first COVID-19 case appeared in the country. The continuing crises and the added stress of COVID-19 has increased the risk of occupational burnout and turnover in the nursing workforce. Therefore, valid and reliable measurement is imperative to determine burnout levels, prioritize intervention, and inform evidence-based workforce policy and practice. The primary aim of the study was to delineate burnout levels and cut-points in a national sample of nurses to inform workforce policies and prioritize interventions. METHODS: Multidimensional and unidimensional Rasch analyses of burnout data collected from a national convenience sample of 457 hospital nurses 9–12 months after Lebanon’s political and economic collapse began. The data were collected in July–October 2020. RESULTS: Multidimensional Rasch analysis confirmed that the Copenhagen Burnout Inventory has three highly correlated unidimensional scales that measure personal burnout, work-related burnout, and client-related burnout. Except for a ceiling effect of ~ 2%, the three scales have excellent measurement properties. For each scale, Rasch rating scale analysis confirmed five statistically different nurse burnout levels. The mean personal burnout scores and work-related burnout scores (50.24, 51.11 respectively) were not higher than those reported in the international literature. However, the mean client-related burnout score of 50.3 was higher than reported for other countries. Compared with a baseline study conducted at the beginning of Lebanon’s political and economic crises, only client-related burnout scores were higher p. <.01. CONCLUSIONS: The CBI scales are reliable and valid measures for monitoring nurse burnout in crises torn countries. Stakeholders can use the CBI scales to monitor nurse burnout and prioritize burnout interventions. Urgent action is needed to reduce levels of client-related burnout in Lebanon’s nursing workforce.
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spelling pubmed-87246412022-01-04 Determining levels of nurse burnout during the COVID-19 pandemic and Lebanon’s political and financial collapse Clinton, Michael Bou-Karroum, Karen Doumit, Myrna Abdullah Richa, Nathalie Alameddine, Mohamad BMC Nurs Research BACKGROUND: The COVID-19 pandemic compounded political and financial pressures on the nursing workforce in Lebanon. The government resigned in October 2019 in response to the popular uprising that called for an end to corruption and economic mismanagement 5 months before the first COVID-19 case appeared in the country. The continuing crises and the added stress of COVID-19 has increased the risk of occupational burnout and turnover in the nursing workforce. Therefore, valid and reliable measurement is imperative to determine burnout levels, prioritize intervention, and inform evidence-based workforce policy and practice. The primary aim of the study was to delineate burnout levels and cut-points in a national sample of nurses to inform workforce policies and prioritize interventions. METHODS: Multidimensional and unidimensional Rasch analyses of burnout data collected from a national convenience sample of 457 hospital nurses 9–12 months after Lebanon’s political and economic collapse began. The data were collected in July–October 2020. RESULTS: Multidimensional Rasch analysis confirmed that the Copenhagen Burnout Inventory has three highly correlated unidimensional scales that measure personal burnout, work-related burnout, and client-related burnout. Except for a ceiling effect of ~ 2%, the three scales have excellent measurement properties. For each scale, Rasch rating scale analysis confirmed five statistically different nurse burnout levels. The mean personal burnout scores and work-related burnout scores (50.24, 51.11 respectively) were not higher than those reported in the international literature. However, the mean client-related burnout score of 50.3 was higher than reported for other countries. Compared with a baseline study conducted at the beginning of Lebanon’s political and economic crises, only client-related burnout scores were higher p. <.01. CONCLUSIONS: The CBI scales are reliable and valid measures for monitoring nurse burnout in crises torn countries. Stakeholders can use the CBI scales to monitor nurse burnout and prioritize burnout interventions. Urgent action is needed to reduce levels of client-related burnout in Lebanon’s nursing workforce. BioMed Central 2022-01-04 /pmc/articles/PMC8724641/ /pubmed/34983519 http://dx.doi.org/10.1186/s12912-021-00789-8 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
Clinton, Michael
Bou-Karroum, Karen
Doumit, Myrna Abdullah
Richa, Nathalie
Alameddine, Mohamad
Determining levels of nurse burnout during the COVID-19 pandemic and Lebanon’s political and financial collapse
title Determining levels of nurse burnout during the COVID-19 pandemic and Lebanon’s political and financial collapse
title_full Determining levels of nurse burnout during the COVID-19 pandemic and Lebanon’s political and financial collapse
title_fullStr Determining levels of nurse burnout during the COVID-19 pandemic and Lebanon’s political and financial collapse
title_full_unstemmed Determining levels of nurse burnout during the COVID-19 pandemic and Lebanon’s political and financial collapse
title_short Determining levels of nurse burnout during the COVID-19 pandemic and Lebanon’s political and financial collapse
title_sort determining levels of nurse burnout during the covid-19 pandemic and lebanon’s political and financial collapse
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8724641/
https://www.ncbi.nlm.nih.gov/pubmed/34983519
http://dx.doi.org/10.1186/s12912-021-00789-8
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