New insights on a recurring theme: A secondary analysis of nurse turnover using the National Sample Survey of Registered Nurses.
Citation: Nursing Outlook. 72(2):102107, 2024 Mar-Apr.PMID: 38160504Institution: MedStar Health Research InstituteForm of publication: Journal ArticleMedline article type(s): Journal ArticleSubject headings: *Nurses | *Nursing Staff | Cross-Sectional Studies | Employment | Humans | Job Satisfaction | Personnel Turnover | United States | Year: 2024Local holdings: Available online from MWHC library: 1995 - present, Available in print through MWHC library:1999-2007ISSN:- 0029-6554
Item type | Current library | Collection | Call number | Status | Date due | Barcode |
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Journal Article | MedStar Authors Catalog | Article | 38160504 | Available | 38160504 |
Available online from MWHC library: 1995 - present, Available in print through MWHC library:1999-2007
BACKGROUND: Registered nurse (RN) turnover is a recurring phenomenon that accelerated during COVID-19 and heightened concerns about contributing factors.
CONCLUSIONS: Baseline RN turnover data can help employers and policymakers understand new and recurring nursing workforce trends and develop targeted actions to reduce nurse turnover. Copyright © 2023 Elsevier Inc. All rights reserved.
DISCUSSION: About 17% of the sample reported a job turnover, with 6.2% reporting internal and 10.8% reporting external turnover. The factors common across both internal and external turnover experiences included education, employment settings, and years of nursing experience.
METHODS: A cross-sectional, secondary analysis of RN turnover using U.S. National Sample Survey of Registered Nurses 2018 data. Responses from 41,428 RNs (weighted N = 3,092,991) across the United States were analyzed. Sociodemographic, professional, employment, and economic data and weighting techniques were used to model prepandemic RN turnover behaviors.
PURPOSE: Provide baseline RN turnover data to which pandemic and future RN workforce turnover behaviors can be compared.
English