Evidence map›Paper›PMID 38268271›Full record

SynthesisNursing open2024

Worldwide prevalence and associated factors of nursing staff turnover: A systematic review and meta-analysis.

Feixia Wu, Yuewen Lao, Ying Feng, Jiaqing Zhu, Yating Zhang, Liuyan Li

Abstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Nursing open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 4 pooled it
–field-weighted citation impact
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

55 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Factors influencing turnover intention among midwives: a systematic review.Archives of public health = Archives belges de sante publique · 2026
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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

6 authors.

Feixia WuHangzhou Hospital of Traditional Chinese Medicine, Hangzhou, China.ORCID 0000-0002-5929-5865
Yuewen LaoSir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0000-0003-2320-1705
Ying FengHangzhou Hospital of Traditional Chinese Medicine, Hangzhou, China.
Jiaqing ZhuHangzhou Hospital of Traditional Chinese Medicine, Hangzhou, China.
Yating ZhangHangzhou Hospital of Traditional Chinese Medicine, Hangzhou, China.
Liuyan LiHangzhou Hospital of Traditional Chinese Medicine, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo systematically assess the worldwide prevalence of nurse turnover and discuss its influencing factors.

designSystematic review and meta-analysis.

methodsPubMed, the Cochrane Library, Web of Science, CINAHL, China Knowledge Resource Integrated Database, Wanfang Database were searched from their commencement date to 25 March 2021. Two authors independently reviewed the studies. Stata 15.0 software package was used for statistical analysis, with estimates of data on the prevalence of nurse turnover using a random-effects model. This review was performed according to the Joanna Briggs Institute (JBI) manual for evidence synthesis and the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) Statement. PROSPERO Registration Number:CRD42020208873.

resultsA total of 15 studies covering 852,317 nurses were included in the analyses. The pooled prevalence of nurse turnover was 18% (95% CI: 11% to 26%, I

Indexed as

Nursing StaffAsiaChinaHumansMalePrevalencefactorsmeta-analysisnursesprevalencesystematic reviewturnover

Identifiers

PMID38268271
PMCPMC10802134

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.