Identifying the predictors of turnover intention based on psychosocial factors of nurses during the COVID‐19 outbreak
Abstract 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 ide...
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Format: | Article |
Language: | English |
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Wiley
2021-11-01
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Series: | Nursing Open |
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Online Access: | https://doi.org/10.1002/nop2.896 |
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author | Alireza Mirzaei Hamed Rezakhani Moghaddam Aghil Habibi Soola |
author_facet | Alireza Mirzaei Hamed Rezakhani Moghaddam Aghil Habibi Soola |
author_sort | Alireza Mirzaei |
collection | DOAJ |
description | Abstract 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. |
first_indexed | 2024-12-19T02:47:41Z |
format | Article |
id | doaj.art-c4e36d7caed8403f86db6fa64ed8c0a1 |
institution | Directory Open Access Journal |
issn | 2054-1058 |
language | English |
last_indexed | 2024-12-19T02:47:41Z |
publishDate | 2021-11-01 |
publisher | Wiley |
record_format | Article |
series | Nursing Open |
spelling | doaj.art-c4e36d7caed8403f86db6fa64ed8c0a12022-12-21T20:38:47ZengWileyNursing Open2054-10582021-11-01863469347610.1002/nop2.896Identifying the predictors of turnover intention based on psychosocial factors of nurses during the COVID‐19 outbreakAlireza Mirzaei0Hamed Rezakhani Moghaddam1Aghil Habibi Soola2Department of Emergency Nursing School of Nursing and Midwifery Ardabil University of Medical Sciences Ardabil IranDepartment of Public Health Khalkhal University of Medical Sciences Khalkhal IranDepartment of Nursing School of Nursing and Midwifery Ardabil University of Medical Sciences Ardabil IranAbstract 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.https://doi.org/10.1002/nop2.896COVID‐19general healthjob contentpost‐traumatic stress disorderturnover intention |
spellingShingle | Alireza Mirzaei Hamed Rezakhani Moghaddam Aghil Habibi Soola Identifying the predictors of turnover intention based on psychosocial factors of nurses during the COVID‐19 outbreak Nursing Open COVID‐19 general health job content post‐traumatic stress disorder turnover intention |
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 | COVID‐19 general health job content post‐traumatic stress disorder turnover intention |
url | https://doi.org/10.1002/nop2.896 |
work_keys_str_mv | AT alirezamirzaei identifyingthepredictorsofturnoverintentionbasedonpsychosocialfactorsofnursesduringthecovid19outbreak AT hamedrezakhanimoghaddam identifyingthepredictorsofturnoverintentionbasedonpsychosocialfactorsofnursesduringthecovid19outbreak AT aghilhabibisoola identifyingthepredictorsofturnoverintentionbasedonpsychosocialfactorsofnursesduringthecovid19outbreak |