Evidence map›Paper›PMID 33826252›Full record

SynthesisNursing open2021

A meta-analysis on predictors of turnover intention of hospital nurses in South Korea (2000-2020).

Hyeoneui Kim, Eun Gyung Kim

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Nursing open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 4 pooled it
48.2field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

57 citing papers in PubMed, 4 syntheses or guidelines pooled it, 108 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 2 countries.

Hyeoneui KimSeoul National University College of Nursing, Seoul, South Korea.
Eun Gyung KimDepartment of Nursing, Chungbuk National University, Cheongju, South Korea.ORCID 0000-0002-0986-5217
Chungbuk National University · KRSeoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo identify the predictors of Registered Nurses' turnover intention and analyse the effect sizes.

designA systematic review and meta-analysis of previous research, conducted to comprehensively identify the predictors of turnover intention.

methodsIn 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.

resultsThis 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.

Indexed as

NursesNursing Staff, HospitalHospitalsHumansIntentionPersonnel TurnoverRepublic of Koreaemployee turnoverhospitalsmeta-analysisnursespredictors

Identifiers

PMID33826252
PMCPMC8363357
OpenAlexW3152276230

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.