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Intention to Leave Among Nurses During the Covid-19 Outbreak: A Rapid Systematic Review and Meta-Analysis

dc.contributor.author Ulupınar, F.
dc.contributor.author Erden, Y.
dc.date.accessioned 2026-03-26T15:02:35Z
dc.date.available 2026-03-26T15:02:35Z
dc.date.issued 2024
dc.description.abstract Aims and Objectives: The COVID-19 pandemic has caused an increase in the workload of nurses and changes in working conditions. Stress and the increase in workload during the COVID-19 pandemic had a negative effect on nurses' intention to leave. This study aimed to determine the current rate of intention to leave the job among nurses during the COVID-19 outbreak by conducting a rapid systematic review and meta-analysis. Methodology/Methods: The review procedure was conducted by the PRISMA criteria. The researchers searched PubMed and Web of Science databases for studies providing the rate of nurses' intent to leave, published until 31 December 2021. Heterogeneity was assessed using the I2 test, and publication bias was measured by Egger's test. Results: The estimated overall intent to leave the profession among nurses during the COVID-19 pandemic was 31.7% (95% CI: 25%–39%) with significant heterogeneity (Q test: 188.9; p = 0.0001; I2: %95.2; Tau2: 0.225). Additionally, Egger's regression test suggested no publication bias for estimating the pooled rate of nurses' intent to leave during the COVID-19 outbreak. No Patient or Public Contribution: Since the research is a meta-analysis study, a literature review model was used. Ethics committee approval was not obtained because the literature review did not directly affect humans and animals. Conclusion: This study showed that approximately one-third of nurses working during the COVID-19 pandemic had thoughts about intending to leave their job. The findings indicate the need for strategies involving precautions and solutions to minimise the psychological impacts of COVID-19 among nurses. Relevance to Clinical Practice: In this period when the global nurse crisis exists, it is of great importance for institutions to retain their nurse workforce. There is an urgent need to prepare nurses to cope better with COVID-19 pandemic. Identification of risk factors for intention to leave could be a significant weapon giving nurses and healthcare systems the ability to response in a better way against the following COVID-19 waves in the near future. © 2022 John Wiley & Sons Ltd. en_US
dc.identifier.doi 10.1111/jocn.16588
dc.identifier.issn 0962-1067
dc.identifier.scopus 2-s2.0-85146957205
dc.identifier.uri https://doi.org/10.1111/jocn.16588
dc.identifier.uri https://hdl.handle.net/20.500.14901/3634
dc.language.iso en en_US
dc.publisher John Wiley and Sons Inc en_US
dc.relation.ispartof Journal of Clinical Nursing en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Coronavirus en_US
dc.subject Nursing en_US
dc.subject Pandemic en_US
dc.subject Quit the Job en_US
dc.subject The Pooled Rate en_US
dc.subject Turnover Intention en_US
dc.title Intention to Leave Among Nurses During the Covid-19 Outbreak: A Rapid Systematic Review and Meta-Analysis en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.scopusid 58107999700
gdc.author.scopusid 57188998836
gdc.description.department Erzurum Technical University en_US
gdc.description.departmenttemp [Ulupınar] Fadime, Department of Nursing, Erzurum Technical University, Erzurum, Erzurum, Turkey; [Erden] Yasemin, Department of Nursing, Erzurum Technical University, Erzurum, Erzurum, Turkey en_US
gdc.description.endpage 403 en_US
gdc.description.issue 1 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality N/A
gdc.description.startpage 393 en_US
gdc.description.volume 33 en_US
gdc.description.wosquality Q1
gdc.identifier.pmid 36435976
gdc.virtual.author Erden, Yasemin
gdc.virtual.author Ulupınar, Fadime
relation.isAuthorOfPublication 20a92e3d-7049-45ae-8882-533915ed055f
relation.isAuthorOfPublication 61915ad4-9e12-43e2-bbcb-5265a5ae5f87
relation.isAuthorOfPublication.latestForDiscovery 20a92e3d-7049-45ae-8882-533915ed055f

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