Evidence map›Paper›PMID 33960721›Full record

ArticleNursing open2021

Identifying the predictors of turnover intention based on psychosocial factors of nurses during the COVID-19 outbreak.

Alireza Mirzaei, Hamed Rezakhani Moghaddam, Aghil Habibi Soola

Abstract read
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Article in Nursing open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 4 of them syntheses that pooled it.

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53citing papers in PubMed, 4 pooled it
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

53 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Alireza MirzaeiDepartment of Emergency Nursing, School of Nursing and Midwifery, Ardabil University of Medical Sciences, Ardabil, Iran.ORCID https://orcid.org/0000-0003-4242-2108
Hamed Rezakhani MoghaddamDepartment of Public Health, Khalkhal University of Medical Sciences, Khalkhal, Iran.
Aghil Habibi SoolaDepartment of Nursing, School of Nursing and Midwifery, Ardabil University of Medical Sciences, Ardabil, Iran.ORCID https://orcid.org/0000-0003-0957-3430

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsBecause 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.

designThe present descriptive-analytical study was conducted in June, 2020.

methodsA 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.

resultsThe 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.

conclusionJob 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.

Indexed as

COVID-19NursesNursing Staff, HospitalCross-Sectional StudiesDisease OutbreaksHumansIntentionJob SatisfactionPersonnel TurnoverSARS-CoV-2COVID-19general healthjob contentpost-traumatic stress disorderturnover intention

Identifiers

PMID33960721
PMCPMC8242757

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.