Evidence map›Paper›PMID 39696402›Full record

ArticleBMC nursing2024

Relationship between burnout and turnover intention among nurses: a network analysis.

Jie Zheng, Shengya Feng, Yaping Feng, Luoyan Wang, Rong Gao, Bowen Xue

Abstract read
In one paragraph

Article in BMC nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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  11. Person-centred environments and nursesFrontiers in health services · 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.

Jie ZhengSchool of Nursing, Shanxi Medical University, Taiyuan, Shanxi, China. zhengjie6511@163.com.
Shengya FengSchool of Nursing, Shanxi Medical University, Taiyuan, Shanxi, China.
Yaping FengAffiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China.
Luoyan WangAffiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China.
Rong GaoSchool of Nursing, Shanxi Medical University, Taiyuan, Shanxi, China.
Bowen XueAffiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China. bowen.hz@foxmail.com.ORCID http://orcid.org/0009-0006-6689-8978

Funding

Industry-Academia-Research Integration Horizontal Projects YF-HZ-20230101Teaching Reform and Innovation Project for Higher Education Institutions in Shanxi Province J20240515
6 · The paper itself

Abstract

backgroundNurse burnout and turnover intention significantly impact global healthcare systems, especially intensified by the COVID-19 pandemic. This study employs network analysis to explore these phenomena, providing insights into the interdependencies and potential intervention points within the constructs of burnout and turnover intention among nurses.

methodsA cross-sectional study was conducted with 560 nurses from three tertiary hospitals in Hangzhou, China. Data were collected via online questionnaires, including the Maslach Burnout Inventory-General Survey (MBI-GS) and the Turnover Intention Questionnaire (TIQ). Network analysis was performed using Gaussian graphical models to construct the network model and calculate related metrics.

resultsThe network analysis revealed that items related to personal accomplishment and emotional exhaustion were central, indicating significant roles in influencing nurses' turnover intentions. Specifically, perceived meaningful work and self-efficacy emerged as pivotal nodes, suggesting that enhancing these can mitigate turnover intentions. The network's stability and accuracy were confirmed through bootstrapping methods, emphasizing the robustness of the findings.

conclusionThe study underscores the importance of addressing nurse burnout by focusing on core elements like personal accomplishment and self-efficacy to reduce turnover intentions. These insights facilitate targeted interventions that could improve nurse retention and stability within healthcare systems. Future research should expand to multi-center studies to enhance the generalizability of these findings.

Indexed as

BurnoutNetwork analysisNursesTurnover intentions

Identifiers

PMID39696402
PMCPMC11657119

What OpenQuestion holds

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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.