Evidence map›Paper›PMID 40224762›Full record

SynthesisJournal of nursing management2024

Global Prevalence of Nurse Turnover Rates: A Meta-Analysis of 21 Studies from 14 Countries.

Hui Ren, Pan Li, Yingchun Xue, Wenhao Xin, Xin Yin, Hongyan Li

Erratum issuedAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in Journal of nursing management, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 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

47 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  14. Person-centred environments and nursesFrontiers in health services · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Hui RenThe First Hospital of Jilin University, Changchun, Jilin, China.ORCID 0000-0001-9546-3523
Pan LiThe First Hospital of Jilin University, Changchun, Jilin, China.ORCID 0009-0001-2053-0725
Yingchun XueThe First Hospital of Jilin University, Changchun, Jilin, China.ORCID 0009-0006-0716-4608
Wenhao XinThe First Hospital of Jilin University, Changchun, Jilin, China.ORCID 0009-0007-6075-4161
Xin YinThe First Hospital of Jilin University, Changchun, Jilin, China.ORCID 0000-0002-6935-9383
Hongyan LiThe First Hospital of Jilin University, Changchun, Jilin, China.ORCID 0009-0007-1384-8851

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Nurses represent the largest occupational group within the health care system, comprising half of the global health workforce. Health care settings are facing severe shortages in countries worldwide, with nurse turnover being identified as the primary reason for this shortage. However, estimates of nurse turnover rates vary widely in the relevant literature. Objective: This meta-analysis aimed to investigate the global nurse turnover rate since 2000 and provide evidence-based assistance to health policy makers and hospital managers. Methods: A systematic search of the PubMed, Web of Science, Embase, CINAHL, and Cochrane Library databases was conducted for relevant articles from January 1, 2000, to February 1, 2023. This study included cross-sectional, cohort, and longitudinal studies. In the meta-analysis, further risk of bias, heterogeneity, and subgroup analyses were conducted. Stata 17.0 was used for all of the statistical analyses. Results: In total, 48,157 records were scrutinized in this study, and 21 investigations encompassing 213,314 nurses across 14 countries were eventually included. The global nurse turnover rate ranged between 8% and 36.6%, and the combined nurse turnover rate was 16% (95% confidence interval: 14%-17%). Subgroup analysis demonstrated that the turnover rate was 19% (95% CI: 14%-23%) in Asia and 15% (95% CI: 13%-17%) in North America. Conclusions: This meta-analysis analysed the literature published from January 2020 to February 2023 and demonstrated that the global nurse turnover rate was 16%. It is suggested that all medical and health institutions actively adopt relevant systems that can reduce the turnover of nurses and promote a more harmonious, healthy, and safe occupational environment for nurses to strengthen the sustainable development capacity of the nurse workforce.

Indexed as

NursesPersonnel TurnoverCross-Sectional StudiesGlobal HealthHumansPrevalence

Identifiers

PMID40224762
PMCPMC11919231

What OpenQuestion holds

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Registered trials

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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.