ArticleHealth affairs scholar2026
Drivers of frontline registered nurse turnover: evidence from the 2022 National Sample Survey of Registered Nurses.
Article in Health affairs scholar, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
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Who cites it
1 citing paper in PubMed.
- Sociodemographic characteristics of nurses entering and leaving the US nursing workforce in 2018 and 2022.Health affairs scholar · 2026Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: The consequences of the COVID-19 pandemic on the nursing workforce persist. Methods: We analyzed the latest National Sample Survey of Registered Nurses data to identify the drivers of actual, self-reported turnover among 8953 frontline registered nurses using multivariable regression. Results: The turnover rate was 28.7%. Nurses dissatisfied with their primary position were over 2.5 times more likely to turnover. Nurses enrolled in school or holding graduate degrees demonstrated higher actual turnover rates, likely due to the incompatibility of rigid work schedules with academic demands and increased marketability. Participation in a labor union/collective bargaining participation was significantly associated with a lower likelihood of nurses' turnover. Conclusion: Our findings identify immediate policy levers-such as flexible or nontraditional scheduling options-that organizations can deploy to improve job satisfaction and work-life balance and curb costly turnover.
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Registered trials
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