Evidence map›Paper›PMID 42044368›Full record

ArticleJMIR research protocols2026

Effectiveness and Feasibility of Self-Monitoring for Weight Management in Individuals With Mental Disorders Using Digital Intervention: Protocol for a Stepped-Wedge Cluster Randomized Trial ("SWIM" Study).

Jiamiao Wu, Jinjie Xu, Jingyi Bi, Xuequan Zhu, Le Xiao

Abstract readClinical Trial Protocol
In one paragraph

Article in JMIR research protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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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

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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

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jiamiao WuBeijing Key Laboratory of Intelligent Drug Research and Development for Mental Disorders, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Ankang lane No.5, Beijing, 100088, China.ORCID 0009-0004-3076-9088
Jinjie XuBeijing Key Laboratory of Intelligent Drug Research and Development for Mental Disorders, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Ankang lane No.5, Beijing, 100088, China.ORCID 0000-0001-8311-2355
Jingyi BiBeijing Key Laboratory of Intelligent Drug Research and Development for Mental Disorders, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Ankang lane No.5, Beijing, 100088, China.ORCID 0009-0002-2986-4630
Xuequan ZhuBeijing Key Laboratory of Intelligent Drug Research and Development for Mental Disorders, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Ankang lane No.5, Beijing, 100088, China.ORCID 0000-0001-5551-2810
Le XiaoBeijing Key Laboratory of Intelligent Drug Research and Development for Mental Disorders, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Ankang lane No.5, Beijing, 100088, China.ORCID 0000-0003-4323-036X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Individuals with schizophrenia or bipolar disorder face a significantly elevated risk of obesity, primarily due to weight gain associated with psychiatric medications and lifestyle factors. While digital self-monitoring tools offer scalable solutions, their application remains underexplored in psychiatric populations. To address these gaps, this type 1 hybrid effectiveness-implementation study investigates the preliminary effectiveness and implementation feasibility of a mobile health-assisted weight management intervention for patients with severe mental illness. Objective: This study aims to evaluate the preliminary effectiveness and implementation feasibility of a mobile health-assisted weight management intervention for patients with severe mental illness transitioning from inpatient care to community-based recovery. Methods: This single-center, open-cohort stepped-wedge cluster randomized trial with a 2-month step duration will recruit 204 patients from 6 clinical units. Clusters are randomized into 2 waves, with staggered transitions to a digital intervention, including smart scales, health apps, and biweekly educational modules, over a 6-month observation period. The design evaluates the intervention across the transition from inpatient care to community-based recovery. The primary outcome is the proportion of participants achieving ≥5% weight loss at month 6. Implementation feasibility is assessed through device technical success and intervention adherence (defined as ≥50% completion of weekly weigh-ins and daily dietary logs). Results: Participant data collection began in May 2023 and was completed by June 2025 with a total of 204 participants. The publication of key findings and results is anticipated in late 2026. Conclusions: This protocol describes a pragmatic, technology-supported intervention designed to address metabolic side effects in a tertiary psychiatric setting. By bridging the gap between acute hospitalization and community recovery, this hybrid stepped-wedge cluster randomized trial provides a crucial framework for integrating digital metabolic monitoring into routine clinical workflows for vulnerable populations.

Indexed as

Mental DisordersSelf-ManagementWeight Reduction ProgramsAdultDigital HealthFeasibility StudiesFemaleHumansMaleObesityRandomized Controlled Trials as TopicTelemedicinedigital healthlifestyle interventionmetabolic syndromemHealthmobile healthobesityself-monitoringserious mental illnessstepped-wedge trialweight management

Identifiers

PMID42044368
PMCPMC13120533

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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.