Evidence map›Paper›PMID 39031791›Full record

ArticleJournal of advanced nursing2025

Variables that predict nurses' job stress and intention to leave during the COVID-19 pandemic in Turkey.

Ümran Bingöl, Nurcan Bilgin, Aynur Çetinkaya, Adalet Kutlu

Abstract read
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Article in Journal of advanced nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ümran BingölIzmir Provincial Health Directorate, Health Services Directorate, Project Coordination Unit, İzmir, Turkey.ORCID https://orcid.org/0000-0003-0138-6227
Nurcan BilginNursing/Department of Nursing Management, Manisa Celal Bayar University Faculty of Health Sciences, Manisa, Turkey.ORCID https://orcid.org/0000-0001-8455-7380
Aynur ÇetinkayaNursing/Department of Public Health Nursing, Manisa Celal Bayar University Faculty of Health Sciences, Manisa, Turkey.ORCID https://orcid.org/0000-0003-1599-0070
Adalet KutluNursing/Department of Surgical Nursing, Manisa Celal Bayar University Faculty of Health Sciences, Manisa, Turkey.ORCID https://orcid.org/0000-0003-4417-5657

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo investigate the variables predicting job stress and intention to leave the job among nurses during the COVID-19 pandemic in Turkey.

designThis research was designed as an analytical cross-sectional study.

methodsThe population of the study consisted of 450 nurses working in a training and research hospital (N = 450). The study sample consisted of 178 nurses who worked in that hospital between February and July 2021. The Nurse Information Form, Job Stress Scale, and Intention to Leave Scale were used as data collection tools. The independent-sample t-test, one-way analysis of variance, and Pearson correlation analysis were applied for univariate analysis while multiple regression analysis was used for multivariate analysis.

resultsIt was determined that the main factors predicting nurses' job stress levels were their Intention to Leave Scale scores, level of organizational satisfaction. The main factors predicting intention to leave were their Job Stress Scale scores, working conditions, and job satisfaction. A positive moderate correlation was found between job stress and intention to leave.

conclusionThis study demostares that among nurses during the COVID-19 pandemic, the predictors of job stress were intention to leave and organizational satisfaction, while the predictors of turnover intention included job stress, working conditions, and job satisfaction. Hospital managers, especially nursing services managers, should develop strategies for extraordinary situations such as pandemics and evaluate the professional satisfaction of nurses while providing a healthy working environment. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contributions.

Indexed as

COVID-19Nursing Staff, HospitalOccupational StressPersonnel TurnoverAdultCross-Sectional StudiesFemaleHumansIntentionJob SatisfactionMaleMiddle AgedPandemicsSARS-CoV-2Surveys and QuestionnairesTurkeyCOVID‐19intention to leavejob stressnursenursingpandemic

Identifiers

PMID39031791
PMCPMC11730371

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.