Evidence map›Paper›PMID 39948560›Full record

ArticleBMC nursing2025

Turnover intention among nurses in Iranian hospitals: a systematic review and meta-analysis.

Alireza Hajizadeh, Edris Kakemam, Morteza Arab-Zozani, Zahra Najafpoor, Hossein Dargahi, Jalal Saeidpour

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In one paragraph

Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

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

  1. Pooled it
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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.

Alireza HajizadehHealth Information Management Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Edris KakemamNon-communicable Diseases Research Center, Research Institute for Prevention of Non-communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran.
Morteza Arab-ZozaniSocial Determinants of Health Research Center, Birjand University of Medical Sciences, Birjand, Iran.
Zahra NajafpoorDepartment of Health Management, Policy and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Hossein DargahiHealth Information Management Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Jalal SaeidpourHealth Information Management Research Center, Tehran University of Medical Sciences, Tehran, Iran. jalalsaeidpour@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe turnover intention of nurses from their current positions have become a critical global public health challenge. In Iran, as a country facing with several of healthcare challenges, understanding the rate of nurses' turnover intention is of paramount importance. This study aimed to determine the pooled proportion of turnover intention among Iranian hospital nurses through systematic review and meta-analysis.

methodsThis systematic review and meta-analysis adhered to PRISMA guidelines. Relevant studies were identified through a comprehensive search of English and Persian databases, including Web of Science, PubMed, Scopus, Science Information Database, IranMedex, and Magiran from January 2000 to November 2024. The Joanna Briggs Institute checklist was employed to assess the methodological quality of included studies. Pooled mean and standard error with 95% CI were calculated using a random effect model. Data analysis was performed using Comprehensive Meta-Analysis software, with the I² statistic used to evaluate heterogeneity among studies and Egger's test and visual inspection of funnel plots used to investigate the publication bias.

resultsOverall, 42 studies were included in this systematic review and meta-analysis. In total, 12,898 nurses participated in the 42 included studies. The overall turnover intention was 2.96 ± 0.056 (95% CI: 2.85-3.07, P = 0.001). Based on subgroup analysis, the turnover intention was 2.95 ± 0.123 and 2.96 ± 0.064 before and after the implementing of health transformation plan (HTP). Also, subgroup analysis by COVID-19 pandemic showed that the turnover intention was 2.97 ± 0.072 and 2.94 ± 0.095 after and before COVID-19 pandemic, respectively. Based on visual inspection of the funnel plot, and egger's test (2.04 ± 2.96, p = 0.45), no evidence of publication bias was observed.

conclusionNurses turnover intention in Iran are at a moderate level, in general and, before and after the implementation of the HTP and the COVID-19 pandemic. These results support the need to formulate evidence-based policies and plans to enhance nurse retention, contributing to the overall stability of the Iranian health system.

Indexed as

IntentionIntention to leaveMeta-analysisNursesNursingPersonnel turnoverSystematic review

Identifiers

PMID39948560
PMCPMC11827215

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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.