ArticleNursing open2023
Developing a prediction model of career plateau for nurses: A cross-sectional study.
Article in Nursing open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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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.
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Who cites it
9 citing papers in PubMed.
- Associations of Nurses' Career Attitudes, Career Management Behaviors, and Understanding and Expected Outcomes of The Career Ladder System With Intention to Stay and Career Satisfaction: A Cross-Sectional Study.Research in nursing & health · 2026Article
- Nurses' Perceptions of the Effect of Organizational Support, Role Clarity, and Ambiguity on Career Plateauing: Implications for the Healthcare Workforce.Healthcare (Basel, Switzerland) · 2026Article
- Career Plateau Among Surgical Nurses: A Cross-Sectional Network Analysis.Journal of nursing management · 2026Article
- Psychological contract, psychological capital, career plateau, and job embeddedness among early-career nurses: a serial mediation model.Frontiers in psychology · 2026Article
- The effect of malicious and benign envy on career plateau in nurses: a cross-sectional study.BMC nursing · 2025Article
- The influencing factors of turnover intention among pediatric healthcare workers: a moderated mediation model.Human resources for health · 2025Article
- Observational
- Developing a prediction model of career plateau for nurses: A cross-sectional study.Nursing open · 2023Article
- The Mediating Role of Career Barriers in the Relationship Between Psychological Resilience and Career Plateau Among Nurses.SAGE open nursingArticle
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
aimThe study aimed to understand the current situation regarding career plateaus experienced by nurses. The objectives were to analyze factors influencing career plateau, and develop a prediction model for career plateau for nurses.
designA cross-sectional survey was conducted using convenience sampling.
methodsParticipants were 2680 nurses from six tertiary hospitals. Univariable and multivariable logistic regression analyses were carried out to investigate the influencing factors and develop a prediction model of career plateau.
resultsThe overall incidence rate of nurses reaching a career plateau was 34%. Logistic regression analysis showed that age, position, whether specialized nurses, life satisfaction, organizational support, personal ability and selection tendency were the factors influencing career plateau. The prediction model indicates that older nurses are more likely to reach a career plateau than their younger counterparts, and those who think they have strong personal ability and do not value their work very much are more likely to have a career plateau. Giving nurses more promotion space and learning opportunities, improving life satisfaction, and organizational support are conducive to reducing the occurrence of career plateau.
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Registered trials
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