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Priority Nursing Populations for Mental Health Support Before and During COVID-19: A Survey Study of Individual and Workplace Characteristics

BACKGROUND: Nursing is a high-risk profession and nurses’ exposure to workplace risk factors such as heavy workloads and inadequate staffing is well documented. The COVID-19 pandemic has exacerbated nurses’ exposure to workplace risk factors, further deteriorating their mental health. Therefore, it...

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Autores principales: Havaei, Farinaz, MacPhee, Maura, Ma, Andy, Mao, Yue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9118006/
https://www.ncbi.nlm.nih.gov/pubmed/35581689
http://dx.doi.org/10.1177/08445621221098833
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author Havaei, Farinaz
MacPhee, Maura
Ma, Andy
Mao, Yue
author_facet Havaei, Farinaz
MacPhee, Maura
Ma, Andy
Mao, Yue
author_sort Havaei, Farinaz
collection PubMed
description BACKGROUND: Nursing is a high-risk profession and nurses’ exposure to workplace risk factors such as heavy workloads and inadequate staffing is well documented. The COVID-19 pandemic has exacerbated nurses’ exposure to workplace risk factors, further deteriorating their mental health. Therefore, it is both timely and important to determine nursing groups in greatest need of mental health interventions and supports. PURPOSE: The purpose of this study is to provide a granular examination of the differences in nurse mental health across nurse demographic and workplace characteristics before and after COVID-19 was declared a pandemic. METHODS: This secondary analysis used survey data from two cross-sectional studies with samples (Time 1 study, 5,512 nurses; Time 2, 4,523) recruited from the nursing membership (∼48,000) of the British Columbia nurses’ union. Data was analyzed at each timepoint using descriptive statistics and ordinal logistic regression. RESULTS: Several demographic and workplace characteristics were found to predict significant differences in the number of positive screenings on measures of poor mental health. Most importantly, in both survey times younger age was a strong predictor of worse mental health, as was full-time employment. Nurse workplace health authority was also a significant predictor of worse mental health. CONCLUSIONS: Structural and psychological strategies must be in place, proactively and preventively, to buffer nurses against workplace challenges that are likely to increase during the COVID-19 crisis.
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spelling pubmed-91180062022-05-20 Priority Nursing Populations for Mental Health Support Before and During COVID-19: A Survey Study of Individual and Workplace Characteristics Havaei, Farinaz MacPhee, Maura Ma, Andy Mao, Yue Can J Nurs Res Original Research Reports BACKGROUND: Nursing is a high-risk profession and nurses’ exposure to workplace risk factors such as heavy workloads and inadequate staffing is well documented. The COVID-19 pandemic has exacerbated nurses’ exposure to workplace risk factors, further deteriorating their mental health. Therefore, it is both timely and important to determine nursing groups in greatest need of mental health interventions and supports. PURPOSE: The purpose of this study is to provide a granular examination of the differences in nurse mental health across nurse demographic and workplace characteristics before and after COVID-19 was declared a pandemic. METHODS: This secondary analysis used survey data from two cross-sectional studies with samples (Time 1 study, 5,512 nurses; Time 2, 4,523) recruited from the nursing membership (∼48,000) of the British Columbia nurses’ union. Data was analyzed at each timepoint using descriptive statistics and ordinal logistic regression. RESULTS: Several demographic and workplace characteristics were found to predict significant differences in the number of positive screenings on measures of poor mental health. Most importantly, in both survey times younger age was a strong predictor of worse mental health, as was full-time employment. Nurse workplace health authority was also a significant predictor of worse mental health. CONCLUSIONS: Structural and psychological strategies must be in place, proactively and preventively, to buffer nurses against workplace challenges that are likely to increase during the COVID-19 crisis. SAGE Publications 2022-05-17 2023-03 /pmc/articles/PMC9118006/ /pubmed/35581689 http://dx.doi.org/10.1177/08445621221098833 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research Reports
Havaei, Farinaz
MacPhee, Maura
Ma, Andy
Mao, Yue
Priority Nursing Populations for Mental Health Support Before and During COVID-19: A Survey Study of Individual and Workplace Characteristics
title Priority Nursing Populations for Mental Health Support Before and During COVID-19: A Survey Study of Individual and Workplace Characteristics
title_full Priority Nursing Populations for Mental Health Support Before and During COVID-19: A Survey Study of Individual and Workplace Characteristics
title_fullStr Priority Nursing Populations for Mental Health Support Before and During COVID-19: A Survey Study of Individual and Workplace Characteristics
title_full_unstemmed Priority Nursing Populations for Mental Health Support Before and During COVID-19: A Survey Study of Individual and Workplace Characteristics
title_short Priority Nursing Populations for Mental Health Support Before and During COVID-19: A Survey Study of Individual and Workplace Characteristics
title_sort priority nursing populations for mental health support before and during covid-19: a survey study of individual and workplace characteristics
topic Original Research Reports
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9118006/
https://www.ncbi.nlm.nih.gov/pubmed/35581689
http://dx.doi.org/10.1177/08445621221098833
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