Evidence map›Paper›PMID 39606481›Full record

ArticleResearch square2024

Enhancing Teacher Gatekeeper Skills for Suicide: A Cluster-Randomized Controlled Trial Among School-Based Lay People in China.

Runsen Chen, Diyang Qu, Bowen Liu, Xuan Zhang, Chengxi Cai, Dongyang Chen, Dongyu Liu, Xue Wen, Zhijun Wu, Jing An and 2 more

Abstract readPreprint
In one paragraph

Article in Research square, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

12 authors.

Runsen ChenTsinghua University.ORCID https://orcid.org/0000-0003-3398-5750
Diyang QuTsinghua University.ORCID https://orcid.org/0000-0002-9999-8725
Bowen LiuTsinghua University.
Xuan ZhangTsinghua University.
Chengxi CaiTsinghua University.
Dongyang ChenTsinghua University.
Dongyu LiuSchool of Public Health, LKS Faculty of Medicine, The University of Hong Kong.
Xue WenTsinghua University.
Zhijun WuTsinghua University.
Jing AnTsinghua University.
Shufang SunBrown University School of Public Health.
Shekhar SaxenaHarvard.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gatekeeper training equips individuals with the skills to identify those exhibiting warning signs of suicide risk and refer them to appropriate services. However, enhancing gatekeepers' knowledge, efficacy, subsequent behaviors, and the broader implications of such interventions in school settings remain pressing concerns. To address these challenges, the Life Gatekeeper Training Program (LGTP) was developed. This 8-session program is designed to train school teachers in essential gatekeeper skills through case demonstrations, role-plays, and group discussions, by using a train-the-trainer model. A cluster randomized controlled trial, which randomly assigned 84 schools (including 223 trainers and 4,140 trainees) to intervention and waitlist control groups, was conducted from December 2022 to March 2024 to evaluate the 6- and 12-month outcomes of the LGTP in Yunfu, China. The primary outcomes were teachers' stigmatization, suicide literacy, perceived competence, and willingness to intervene. The secondary outcome measures were gatekeeper behaviors, including identifying students at risk, discussing potential suicide risk with them, or with their caregiver(s), and referring them to a mental health professional or a specialist clinic. The study was pre-registered with the Chinese Clinical Trial Registry, with a registration number of ChiCTR2200066142. Following the principle of intention to treat (ITT), the results of the generalized estimating equations showed LGTP intervention led to significant decreases in stigmatization

Identifiers

PMID39606481
PMCPMC11601826

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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.