Evidence map›Paper›PMID 40233959›Full record

ArticleBMJ open2025

Protocol of the Tailored Evidence-based Enhancements in Mental Health-Gamified and Individualized Follow-Up Treatment for Suicide (TEEM-GIFTS): a Multiphase Optimization Strategy (MOST) study implementing a gamified mHealth intervention to reduce postdischarge suicide risk in patients with mental disorders in Shenzhen.

Fengsu Hou, Huiming Liu, Yuanhan Bai, Bo Peng, Guanjie Chen, Yingli Zhang, Donghui Wu, Tiantian Fu, LuYao Hu, Jinghua Li

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06358339 (The Tailored Evidence-based Enhancements in Mental Health-Gamified and Individualized Follow-Up Treatment for Suicide), which is not on this 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.

NCT06358339 narecruitingnot on this map

The Tailored Evidence-based Enhancements in Mental Health-Gamified and Individualized Follow-Up Treatment for Suicide (TEEM-GIFTS) : Implementing a Gamified mHealth Intervention to Reduce Post-Discharge Suicide Risk in Patients With Mental Disorders Using Multiphase Optimization Strategy (MOST)

TypeinterventionalSponsorShenzhen Kangning HospitalRan2025 to 2027Enrolled640ConditionsSuicideArmsTEEM
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

10 authors.

Fengsu HouDepartment of Public Health, Shenzhen Kangning Hospital/Shenzhen Mental Health Center, Affiliated Mental Health Center, Southern University of Science and Technology, Shenzhen, Guangdong, China houfengsu@gmail.com.ORCID http://orcid.org/0000-0001-5869-4365
Huiming LiuDepartment of Public Health, Shenzhen Kangning Hospital/Shenzhen Mental Health Center, Affiliated Mental Health Center, Southern University of Science and Technology, Shenzhen, Guangdong, China.
Yuanhan BaiDepartment of Bipolar Disorders, Shenzhen Kangning Hospital/Shenzhen Mental Health Center, Affiliated Mental Health Center, Southern University of Science and Technology, Shenzhen, Guangdong, China.
Bo PengDepartment of Depression Disorders, Shenzhen Kangning Hospital/Shenzhen Mental Health Center, Affiliated Mental Health Center, Southern University of Science and Technology, Shenzhen, Guangdong, China.
Guanjie ChenDepartment of Public Health, Shenzhen Kangning Hospital/Shenzhen Mental Health Center, Affiliated Mental Health Center, Southern University of Science and Technology, Shenzhen, Guangdong, China.
Yingli ZhangDepartment of Depression Disorders, Shenzhen Kangning Hospital/Shenzhen Mental Health Center, Affiliated Mental Health Center, Southern University of Science and Technology, Shenzhen, Guangdong, China.
Donghui WuDepartment of Geriatric Psychiatry, Shenzhen Kangning Hospital/Shenzhen Mental Health Center, Affiliated Mental Health Center, Southern University of Science and Technology, Shenzhen, Guangdong, China.
Tiantian FuDepartment of Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou, Guangdong, China.
LuYao HuDepartment of Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Jinghua LiDepartment of Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou, Guangdong, China.ORCID http://orcid.org/0000-0002-9571-7359

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPostdischarge suicide risk among psychiatric patients is a great concern. Gamified interventions have demonstrated promise in reducing the risk. This study aims to reduce postdischarge suicide risk through a mHealth intervention that engages and supports patients through gamified features. Built on our previous research, this study will develop, optimise and evaluate a gamified intervention under the Multi-phase Optimization Strategy (MOST) framework in implementation science. METHODS AND ANALYSIS: This study will be conducted at the Shenzhen Kangning Hospital. Following the MOST framework, we will develop the gamified mHealth app (Tailored Evidence-based Enhancements in Mental Health (TEEM)) with four intervention components in the selection phase. In the optimisation phase, a factorial design randomised controlled trial (RCT) will be conducted to identify the optimised configuration. A total of 320 patients with mental disorders will be recruited and randomised into 16 groups to receive TEEM with different combinations of intervention components, with follow-ups scheduled at 1 week, 1 month, 2 months and 3 months after discharge. In the confirmation phase, we will assess the optimised TEEM through a standard RCT, comparing it to usual care. An additional 320 patients with mental disorders will be recruited for this phase, and the follow-up schedule is the same as in the optimisation phase. Psychiatric patients and family members, clinical and community mental health service providers will be recruited as the community team to help develop and evaluate the TEEM. Quantitative data will be analysed using the intention-to-treat approach and generalised estimating equations, and qualitative data will be coded and categorised to identify key themes. ETHICS/DISSEMINATION: The Ethics Committee Review Board of Shenzhen Kangning Hospital has approved this study. All participants will provide written informed consent prior to enrolment. The findings will be disseminated through peer-reviewed scientific journals and conference presentations, and a report will be submitted to the National Natural Science Foundation of China and the mental health authorities in the Shenzhen Municipal Health Commission. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov, ID: NCT06358339.

Indexed as

Mental DisordersSuicide PreventionAdultAftercareChinaFemaleFollow-Up StudiesHumansMaleMental HealthMobile ApplicationsPatient DischargeRandomized Controlled Trials as TopicSuicideTelemedicineChinaImplementation SciencePSYCHIATRYPUBLIC HEALTHSTATISTICS & RESEARCH METHODSSuicide & self-harm

Identifiers

PMID40233959
PMCPMC12004470

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.