Evidence map›Paper›PMID 39857138›Full record

ArticleHealthcare (Basel, Switzerland)2025

The Impact of Resilience and Leader-Member Exchange on Actual Turnover: A Prospective Study of Nurses in Acute Hospitals.

Saori Yamaguchi, Yasuko Ogata, Miki Sasaki, Ayano Fujiyoshi-Ito, Yuki Yonekura

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
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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

5 authors.

Saori YamaguchiGraduate School of Health Care Sciences, Institute of Science Tokyo, 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8510, Japan.ORCID 0009-0007-6815-4048
Yasuko OgataGraduate School of Health Care Sciences, Institute of Science Tokyo, 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8510, Japan.ORCID 0000-0002-6086-6725
Miki SasakiGraduate School of Health Care Sciences, Institute of Science Tokyo, 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8510, Japan.ORCID 0000-0002-7222-3065
Ayano Fujiyoshi-ItoGraduate School of Health Care Sciences, Institute of Science Tokyo, 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8510, Japan.ORCID 0000-0001-6112-9850
Yuki YonekuraGraduate School of Nursing Science, St. Luke's International University, 10-1 Akashi-cho, Chuo-ku, Tokyo 104-0044, Japan.ORCID 0000-0002-2590-2022

Funding

Mitsubishi Foundation 202130008
6 · The paper itself

Abstract

BACKGROUND/

objectivesHigh nurse turnover has economic implications for healthcare organizations and impacts the quality of care. Individual, job-related, and organizational factors determine nurse turnover. This study, thus, aimed to investigate the impact of nurses' resilience and the quality of the relationship between staff nurses and nurse managers, defined as leader-member exchange (LMX), on actual nurse turnover.

methodsA prospective study was conducted from June to July 2022, targeting nurses from three advanced treatment hospitals in Japan. Data were collected through a self-administered questionnaire investigating the participants' actual turnover in April 2023. The data of 1130 nurses were analyzed in this study. A binary logistic regression analysis was performed using actual turnover as the dependent variable and nurse resilience and LMX as independent variables.

resultsThe results revealed that while LMX influenced actual turnover, nurse resilience had no statistically significant relationship with turnover.

conclusionsThe findings show that LMX needs to be improved if actual turnover is to be curbed.

Indexed as

leader–member exchangeleadershipnurse shortageresilienceturnover

Identifiers

PMID39857138
PMCPMC11764517

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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.