New insights on a recurring theme: A secondary analysis of nurse turnover using the National Sample Survey of Registered Nurses.

MedStar author(s):
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
Name of journal: Nursing outlookAbstract: 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.All authors: Jones CB, Kim S, McCollum M, Tran AKFiscal year: FY2024Digital Object Identifier: Date added to catalog: 2024-04-24
Holdings
Item type Current library Collection Call number Status Date due Barcode
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.

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