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Patterns of work-related stress and their predictors among emergency department nurses and emergency medical services staff in a time of crisis: a latent profile analysis
BACKGROUND: Previous studies have shown that a disease outbreak may cause high stress among healthcare workers. However, the vast majority of those studies applied a variable-centered approach, in which relationships between the variables are believed to be identical across the studied population. T...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10077323/ https://www.ncbi.nlm.nih.gov/pubmed/37024855 http://dx.doi.org/10.1186/s12912-023-01241-9 |
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author | Charzyńska, Edyta Habibi Soola, Aghil Mozaffari, Naser Mirzaei, Alireza |
author_facet | Charzyńska, Edyta Habibi Soola, Aghil Mozaffari, Naser Mirzaei, Alireza |
author_sort | Charzyńska, Edyta |
collection | PubMed |
description | BACKGROUND: Previous studies have shown that a disease outbreak may cause high stress among healthcare workers. However, the vast majority of those studies applied a variable-centered approach, in which relationships between the variables are believed to be identical across the studied population. The main purpose of this study was to identify latent profiles of healthcare workers with similar combinations of levels of various work-related stressors during the coronavirus disease 2019 (COVID-19) pandemic and to examine their predictors. METHODS: A cross-sectional paper-and-pencil study was conducted among a convenience sample of 297 emergency department (ED) nurses and 219 emergency medical services (EMS) staff members working in 10 hospital EDs and 52 EMS centers in Ardabil province, Iran. Data were collected using the Health and Safety Executive Management Standards Indicator Tool (HSE-MS IT). RESULTS: Using the latent profile analysis (LPA), five work-related stress profiles were identified: “high stress with a good understanding of one’s job role” (11.1%), “moderate stress” (41.9%), “relatively high stress with average demands and a very low understanding of one’s job role” (23.8%), “low stress” (18.0%), and “generally low stress but with very high job demands and relational conflicts” (5.2%). Age, marital status, service location, workplace, and the number of overtime hours significantly predicted profile membership. CONCLUSION: The results of the study suggest the importance of incorporating various sources of stress and using the person-centered approach when investigating the work-related stress of healthcare workers during disease outbreaks. Identifying sociodemographic and work-related predictors of profile membership may be useful for preparing interventions that will be better suited to healthcare workers’ needs. |
format | Online Article Text |
id | pubmed-10077323 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-100773232023-04-06 Patterns of work-related stress and their predictors among emergency department nurses and emergency medical services staff in a time of crisis: a latent profile analysis Charzyńska, Edyta Habibi Soola, Aghil Mozaffari, Naser Mirzaei, Alireza BMC Nurs Research BACKGROUND: Previous studies have shown that a disease outbreak may cause high stress among healthcare workers. However, the vast majority of those studies applied a variable-centered approach, in which relationships between the variables are believed to be identical across the studied population. The main purpose of this study was to identify latent profiles of healthcare workers with similar combinations of levels of various work-related stressors during the coronavirus disease 2019 (COVID-19) pandemic and to examine their predictors. METHODS: A cross-sectional paper-and-pencil study was conducted among a convenience sample of 297 emergency department (ED) nurses and 219 emergency medical services (EMS) staff members working in 10 hospital EDs and 52 EMS centers in Ardabil province, Iran. Data were collected using the Health and Safety Executive Management Standards Indicator Tool (HSE-MS IT). RESULTS: Using the latent profile analysis (LPA), five work-related stress profiles were identified: “high stress with a good understanding of one’s job role” (11.1%), “moderate stress” (41.9%), “relatively high stress with average demands and a very low understanding of one’s job role” (23.8%), “low stress” (18.0%), and “generally low stress but with very high job demands and relational conflicts” (5.2%). Age, marital status, service location, workplace, and the number of overtime hours significantly predicted profile membership. CONCLUSION: The results of the study suggest the importance of incorporating various sources of stress and using the person-centered approach when investigating the work-related stress of healthcare workers during disease outbreaks. Identifying sociodemographic and work-related predictors of profile membership may be useful for preparing interventions that will be better suited to healthcare workers’ needs. BioMed Central 2023-04-06 /pmc/articles/PMC10077323/ /pubmed/37024855 http://dx.doi.org/10.1186/s12912-023-01241-9 Text en © The Author(s) 2023 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 Charzyńska, Edyta Habibi Soola, Aghil Mozaffari, Naser Mirzaei, Alireza Patterns of work-related stress and their predictors among emergency department nurses and emergency medical services staff in a time of crisis: a latent profile analysis |
title | Patterns of work-related stress and their predictors among emergency department nurses and emergency medical services staff in a time of crisis: a latent profile analysis |
title_full | Patterns of work-related stress and their predictors among emergency department nurses and emergency medical services staff in a time of crisis: a latent profile analysis |
title_fullStr | Patterns of work-related stress and their predictors among emergency department nurses and emergency medical services staff in a time of crisis: a latent profile analysis |
title_full_unstemmed | Patterns of work-related stress and their predictors among emergency department nurses and emergency medical services staff in a time of crisis: a latent profile analysis |
title_short | Patterns of work-related stress and their predictors among emergency department nurses and emergency medical services staff in a time of crisis: a latent profile analysis |
title_sort | patterns of work-related stress and their predictors among emergency department nurses and emergency medical services staff in a time of crisis: a latent profile analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10077323/ https://www.ncbi.nlm.nih.gov/pubmed/37024855 http://dx.doi.org/10.1186/s12912-023-01241-9 |
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