A meta‐analysis on predictors of turnover intention of hospital nurses in South Korea (2000–2020)
verifiedrich profile · Nursing Open · 2021
Kim, Hyeoneui; Kim, Eun Gyung
How this was studied
A meta-analytic synthesis — it pools many primary studies rather than running a single design, so there is no single-study diagram.
What this article reports
The findings we extracted from this work, normalized into Principia’s relationship form (X → Y). Each feeds the synthesized models below.
work engagement → turnover intention
career development → turnover intention
Models this article informs
The meta-analytic priors this article contributes evidence to — its place in the broader synthesis.
career development predicts turnover intention
job embeddedness predicts turnover intention
work engagement predicts turnover intention
In the authors’ words
The article’s own abstract.
AIMS: To identify the predictors of Registered Nurses' turnover intention and analyse the effect sizes. DESIGN: A systematic review and meta-analysis of previous research, conducted to comprehensively identify the predictors of turnover intention. METHODS: In total, 417 studies from 1 January 2000 to 30 April 2020 that investigated predictors of turnover intention of South Korean nurses were reviewed. The data were analysed using the R statistical package. Network graphs were used to analyse the relationships among turnover predictors, and meta-analysis was performed to determine the effect sizes of the correlations. RESULTS: This review analysed common predictors identified in previous studies. Burnout (0.541), emotional exhaustion (0.511), job stress (0.390) and career plateau (0.386) showed positive effect sizes, while organizational commitment (-0.540), person-organizational fit (-0.521), career commitment (-0.508), work engagement (-0.503), job satisfaction (-0.491) and job embeddedness (-0.483) showed negative effect sizes.
What the literature says about it
Attributed, open-access quotes from other works that cite this article, plus the citation-graph verdict tally. Corroborations and disputes, in one place — the honest-broker view.
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Assembled from Principia’s registry — bibliographic record, extracted effect sizes, the models they inform, and open-access citing literature.