Evidence map›Paper›PMID 42519199›Full record

SynthesisFrontiers in psychiatry2026

Mental health stigma among nursing students: current status and intervention strategies- an integrative review.

Weiwei Wang, Xinhang Chen, Mingzhu Liu, Peiwei Zou, Junhua Ye, Ahmad Naqib Shuid

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Weiwei WangInstitut Perubatan dan Pergigian Termaju, Universiti Sains Malaysia, Penang, Malaysia.
Xinhang ChenFuzhou Medical College of Nanchang University, Fuzhou, Jiangxi, China.
Mingzhu LiuNanchang Institute of Technology, Nanchang, Jiangxi, China.
Peiwei ZouNanchang Institute of Technology, Nanchang, Jiangxi, China.
Junhua YeNanchang Institute of Technology, Nanchang, Jiangxi, China.
Ahmad Naqib ShuidInstitut Perubatan dan Pergigian Termaju, Universiti Sains Malaysia, Penang, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Aims to synthesize the current evidence on the prevalence of mental health stigma among nursing students and to summarize the interventions that have been developed and evaluated to reduce such stigma. Methods: A comprehensive search was conducted across PubMed, CINAHL, and Web of Science databases for peer-reviewed studies published in English between January 2018 and June 2024. Results: A total of 25 studies were included. The prevalence of mental health stigma among nursing students was found to be moderate to high. Stigma manifested in various forms, including negative attitudes toward patients, internalized shame, and public stigma directed at nursing students themselves. Interventions such as mental health training, empathy enhancement programs, and clinical internships demonstrated varying degrees of effectiveness in reducing stigma, with multi-component interventions showing the most promise. Conclusion: Mental health stigma among nursing students is a persistent and multifaceted issue that requires targeted strategies to address. Enhancing mental health education, increasing clinical exposure, and implementing comprehensive intervention programs are essential steps to reduce stigma and support the development of compassionate, skilled nursing professionals.

Indexed as

interventionmental healthnursing studentreviewstigma

Identifiers

PMID42519199
PMCPMC13381497

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.