The effect of psychological contract on turnover intention among nurses: a meta-analytic review

verifiedrich profile · BMC Nursing · 2023

Lu, Xianying; Yang, Jing; Bai, Dingxi; Cai, Mingjin; Wang, Wei; He, Jiali; Gong, Xiaoyan; Hou, Chaoming; Gao, Jing

10.1186/s12912-023-01496-2 · CrossRef: crossref_mismatch

How this was studied

paradigm: positivistpurpose: explanatory causaldesign: meta analytic synthesisidentification: nonetime: cross sectionaldata: quantitative survey

A meta-analytic synthesis — it pools many primary studies rather than running a single design, so there is no single-study diagram.

analysis: meta analysis · validity (validity): internal unclear · external addressed · construct addressed · statistical addressed · classifier confidence 0.85

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.

psychological contract breachturnover intention

r = 0.52 · k=1 · grade A · unverified

psychological contract breachturnover intention

r = 0.56 · k=1 · grade A · unverified

psychological contractturnover intention

r = -0.43 · k=9 · grade A · unverified

Models this article informs

The meta-analytic priors this article contributes evidence to — its place in the broader synthesis.

In the authors’ words

The article’s own abstract.

Background The turnover intention (TI) of nurses is common, posing a threat to modern healthcare organizations. Psychological contract (PC) is a predictor of TI, affecting significantly nurse’s TI. However, the extent of the association between PC and nurse’s TI is unknown. We performed a meta-analysis to quantitatively analyze the relationship between PC and nurse’s TI. Methods We searched nine electronic databases from inception to July 2023. Observational studies were included using a retrieval strategy related to PC and TI. Meta-analyses of common effect and random effect models were performed using R software with Spearman or Pearson correlation coefficients. Meta-regression, subgroup analysis, publication bias, and sensitivity analysis were also carried out . Results Eighteen studies including 8,908 nurses were identified. Based on various PC-related perspectives, 16 studies explored nurses’ TI in terms of the content and three-dimensional structure of PC. Of these, 9 studies rep

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2 supporting

Ancillary research

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