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Identifying the predictors of turnover intention based on psychosocial factors of nurses during the COVID‐19 outbreak
AIMS: Because of the direct contact nurses have with patients, they are exposed to more stressful events during the outbreak of infectious diseases, which increases their turnover intention, highly impacting not only nurses, but also patients and organizations. The present study aimed to identify th...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8242757/ https://www.ncbi.nlm.nih.gov/pubmed/33960721 http://dx.doi.org/10.1002/nop2.896 |
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author | Mirzaei, Alireza Rezakhani Moghaddam, Hamed Habibi Soola, Aghil |
author_facet | Mirzaei, Alireza Rezakhani Moghaddam, Hamed Habibi Soola, Aghil |
author_sort | Mirzaei, Alireza |
collection | PubMed |
description | AIMS: Because of the direct contact nurses have with patients, they are exposed to more stressful events during the outbreak of infectious diseases, which increases their turnover intention, highly impacting not only nurses, but also patients and organizations. The present study aimed to identify the predictors of turnover intention based on psychosocial factors in nurses of Ardabil pre‐hospital emergency and educational and medical centres during the COVID‐19 outbreak. DESIGN: The present descriptive‐analytical study was conducted in June, 2020. METHODS: A total of 479 nurses working in Ardabil pre‐hospital emergency and educational and medical centres to fight COVID‐19 were recruited for this study using the census method. Data were collected using the Demographic Information Questionnaire, Turnover Intention Questionnaire, Weiss & Marmar Impact of Event Scale‐Revised (IES‐R), General Health Questionnaire (12 C‐GHQ) and Job Content Questionnaire (JCQ). Data were analysed with SPSSv.22 software using correlation, t test, analysis of variance, multiple regression and descriptive tests. RESULTS: The mean turnover intention score of nurses was 41.73 with a standard deviation of 12.11. The results of correlation coefficient revealed a positive relationship between PTSD, general health, job demand and job strain with turnover intention (p ≤ .01) and a positive and significant relationship between social support and turnover intention (p ≤ .01). Multiple regression analysis showed that the variables of gender, marital status, work position, decision latitude, social support, job strain, general health and post‐traumatic stress disorder (PTSD) were predictors of turnover intention. CONCLUSION: Job stressors during the COVID‐19 outbreak have led to an increase in nurses’ turnover intention. Identifying and managing the factors related to job stressors will make it possible to prevent nurses’ turnover intention in such critical situations. |
format | Online Article Text |
id | pubmed-8242757 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82427572021-07-01 Identifying the predictors of turnover intention based on psychosocial factors of nurses during the COVID‐19 outbreak Mirzaei, Alireza Rezakhani Moghaddam, Hamed Habibi Soola, Aghil Nurs Open Research Articles AIMS: Because of the direct contact nurses have with patients, they are exposed to more stressful events during the outbreak of infectious diseases, which increases their turnover intention, highly impacting not only nurses, but also patients and organizations. The present study aimed to identify the predictors of turnover intention based on psychosocial factors in nurses of Ardabil pre‐hospital emergency and educational and medical centres during the COVID‐19 outbreak. DESIGN: The present descriptive‐analytical study was conducted in June, 2020. METHODS: A total of 479 nurses working in Ardabil pre‐hospital emergency and educational and medical centres to fight COVID‐19 were recruited for this study using the census method. Data were collected using the Demographic Information Questionnaire, Turnover Intention Questionnaire, Weiss & Marmar Impact of Event Scale‐Revised (IES‐R), General Health Questionnaire (12 C‐GHQ) and Job Content Questionnaire (JCQ). Data were analysed with SPSSv.22 software using correlation, t test, analysis of variance, multiple regression and descriptive tests. RESULTS: The mean turnover intention score of nurses was 41.73 with a standard deviation of 12.11. The results of correlation coefficient revealed a positive relationship between PTSD, general health, job demand and job strain with turnover intention (p ≤ .01) and a positive and significant relationship between social support and turnover intention (p ≤ .01). Multiple regression analysis showed that the variables of gender, marital status, work position, decision latitude, social support, job strain, general health and post‐traumatic stress disorder (PTSD) were predictors of turnover intention. CONCLUSION: Job stressors during the COVID‐19 outbreak have led to an increase in nurses’ turnover intention. Identifying and managing the factors related to job stressors will make it possible to prevent nurses’ turnover intention in such critical situations. John Wiley and Sons Inc. 2021-05-07 /pmc/articles/PMC8242757/ /pubmed/33960721 http://dx.doi.org/10.1002/nop2.896 Text en © 2021 The Authors. Nursing Open published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Mirzaei, Alireza Rezakhani Moghaddam, Hamed Habibi Soola, Aghil Identifying the predictors of turnover intention based on psychosocial factors of nurses during the COVID‐19 outbreak |
title | Identifying the predictors of turnover intention based on psychosocial factors of nurses during the COVID‐19 outbreak |
title_full | Identifying the predictors of turnover intention based on psychosocial factors of nurses during the COVID‐19 outbreak |
title_fullStr | Identifying the predictors of turnover intention based on psychosocial factors of nurses during the COVID‐19 outbreak |
title_full_unstemmed | Identifying the predictors of turnover intention based on psychosocial factors of nurses during the COVID‐19 outbreak |
title_short | Identifying the predictors of turnover intention based on psychosocial factors of nurses during the COVID‐19 outbreak |
title_sort | identifying the predictors of turnover intention based on psychosocial factors of nurses during the covid‐19 outbreak |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8242757/ https://www.ncbi.nlm.nih.gov/pubmed/33960721 http://dx.doi.org/10.1002/nop2.896 |
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