SynthesisJAMA psychiatry2026
Uptake, Adherence, and Attrition in Clinical Trials of Depression and Anxiety Apps: A Systematic Review and Meta-Analysis.
Synthesis in JAMA psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 4 of them syntheses that pooled it.
What it found
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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.
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.
Who cites it
17 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Associations Between Baseline Severity and Treatment Effects in Digital Interventions for Eating Disorders: A Meta-Regression.European eating disorders review : the journal of the Eating Disorders Association · 2026Pooled it
- Assessing the Effectiveness, Adherence and Attrition of Smartphone-Based Mental Health Interventions in University Students: A Systematic Review and Meta-Analysis.Early intervention in psychiatry · 2026Pooled it
- Patterns of Uptake, Engagement, and Attrition in Randomized Controlled Trials of Digital Interventions for Eating Disorders: A Systematic Review and Meta-Analysis.The International journal of eating disorders · 2026Pooled it
- Association between user engagement and clinical outcomes in smartphone apps for depression and anxiety: A systematic review and meta-analysis.Psychiatry research · 2026Pooled it
- Engagement-Supportive Mechanisms in Stress-Focused Digital Mental Health Interventions With Adaptive, Conversational, and Context-Aware Systems: Narrative Review.JMIR human factors · 2026Review
- A "growth mindset of mental health" intervention increases the likelihood of initiating self-help on a mental health app: a randomized controlled trial.NPJ digital medicine · 2026Article
- Strategic Priorities for Advancing Eating Disorder Risk Reduction: A Narrative Review.The International journal of eating disorders · 2026Review
- Developing Transdiagnostic Single-Session Interventions for University Students Experiencing Disordered Eating: A Mixed-Method Co-Design Study.The International journal of eating disorders · 2026Article
- Article
- Translation, cross-cultural adaptation, and preliminary psychometric investigation of the Chinese version of the digital intervention barriers scale-7 (DIBS-7) among college students.BMC psychology · 2026Article
- Real-World Engagement With a Generative AI Conversational Agent for Mental Health Support: Retrospective Descriptive Study.JMIR formative research · 2026Article
- Rethinking the prediction and prevention of dropout in digital mental health.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2026Article
- Willingness to use video-game or gamified application-based interventions to improve or strengthen emotional regulation, mental health, and mental well-being.Internet interventions · 2026Article
- Digital Mental Health: A Narrative Review of FDA-Authorized Products for Psychiatric Treatment and Diagnostic Support.Brain sciences · 2026Review
- A Program-Led Motivational App (MI-Coach: ED) for Eating Disorder Waitlists: Findings From a Feasibility and Acceptability Pilot Trial.The International journal of eating disorders · 2026Article
- User Experience and Early Clinical Outcomes of a Mental Wellness Chatbot for Depression and Anxiety: Pilot Evaluation Mixed Methods Study.JMIR formative research · 2026Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Importance: Randomized clinical trials (RCTs) support apps as scalable, cost-efficient tools for managing depression and anxiety, but concerns about engagement and attrition remain. With the field's rapid growth, there is now an opportunity to generate more precise insights on uptake, attrition, and adherence. Objective: To examine patterns of uptake (initial activation of the app), adherence (use meeting the trial's definition of adequate engagement), and attrition (failure to complete outcome assessments) from RCTs of mental health apps for depression and anxiety. Data Sources: Studies were identified from a 2024 review of RCTs on depression and anxiety apps (search through January 2024), with an updated search in Medline and PsycINFO conducted from January 2024 to May 2025. Study Selection: Trials of mental health apps delivered to participants with depression or anxiety were eligible if they reported rates of uptake, adherence, or attrition. Data Extraction and Synthesis: Study characteristics were extracted by 2 independent reviewers. The Cochrane Risk of Bias tool was used. Meta-analyses were conducted using multilevel random-effects models. Main Outcomes and Measures: Meta-analyses were conducted on app uptake, posttest and follow-up attrition, and adherence. Absolute rates were estimated using pooled event rates, while relative rates (apps vs controls on attrition) were calculated using pooled risk ratios. Results: Seventy-nine trials, including 92 app conditions and 78 control conditions, were included (k = 39 for depression, k = 26 for anxiety, and k = 14 for transdiagnostic samples). The meta-analytic rate of app uptake was 92.4% (95% prediction interval [PI], 48.4%-99.4%) from 56 conditions. The meta-analytic rate of app adherence was 61.8% (95% PI, 53.2%-69.7%) from 21 conditions. The meta-analytic posttest attrition rate was 18.6% (95% PI, 2.4%-68.3%), and at follow-up, it was 28.4% (95% PI, 3.0%-83.7%). Attrition rates were lower among trials that offered reminders, human contact, and no gamification features. Attrition was higher in app conditions than wait-lists (risk ratio, 1.49; 95% PI, 0.34-6.48) but did not differ significantly to other controls. Conclusions and Relevance: The findings of this meta-analysis offer benchmarks for future trial planning while highlighting modifiable design features that may enhance user engagement.
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