Evidence map›Paper›PMID 41259035›Full record

SynthesisJAMA psychiatry2026

Uptake, Adherence, and Attrition in Clinical Trials of Depression and Anxiety Apps: A Systematic Review and Meta-Analysis.

Claudia Liu, John Torous, Matthew Fuller-Tyszkiewicz, Mariel Messer, Cleo Anderson, Olivia M Soliman, Jake Linardon

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 4 pooled it
–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

17 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. 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 · 2026
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  12. Rethinking the prediction and prevention of dropout in digital mental health.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2026
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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

7 authors.

Claudia LiuSEED Lifespan Strategic Research Centre, School of Psychology, Faculty of Health, Deakin University, Geelong, Victoria, Australia.
John TorousDivision of Digital Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
Matthew Fuller-TyszkiewiczSEED Lifespan Strategic Research Centre, School of Psychology, Faculty of Health, Deakin University, Geelong, Victoria, Australia.
Mariel MesserSEED Lifespan Strategic Research Centre, School of Psychology, Faculty of Health, Deakin University, Geelong, Victoria, Australia.
Cleo AndersonSEED Lifespan Strategic Research Centre, School of Psychology, Faculty of Health, Deakin University, Geelong, Victoria, Australia.
Olivia M SolimanSEED Lifespan Strategic Research Centre, School of Psychology, Faculty of Health, Deakin University, Geelong, Victoria, Australia.
Jake LinardonSEED Lifespan Strategic Research Centre, School of Psychology, Faculty of Health, Deakin University, Geelong, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

AnxietyAnxiety DisordersDepressionDepressive DisorderMobile ApplicationsPatient ComplianceRandomized Controlled Trials as TopicHumans

Identifiers

PMID41259035
PMCPMC12631558

What OpenQuestion holds

Textmetadata
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.