ReviewInternet interventions2024
A systematic review of predictors and moderators of treatment outcomes in internet- and mobile-based interventions for depression.
Review in Internet interventions, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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.
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Who cites it
16 citing papers in PubMed.
- Moderators, mediators, and components of a standalone smartphone application for postpartum depression: secondary analysis of a randomized controlled trial.Archives of women's mental health · 2026Trial
- Comorbid anxiety predicts lower odds of MDD improvement in a trial of smartphone-delivered interventions.Journal of affective disorders · 2026Trial
- Immediate and Sustained Improvements in Mood and Stress Associated With Yuna, an AI-Powered Digital Mental Health Intervention: Real-World Retrospective Study.JMIR mHealth and uHealth · 2026Article
- Review
- Client perspectives of internet-based treatment for depression in Arabic-speaking countries.BMC psychology · 2026Article
- Effectiveness of Guided Internet-Based Cognitive Behavioral Therapy for Adult Anxiety and Depression in Routine Care: An Observational Study.International journal of methods in psychiatric research · 2026Observational
- Predicting the path to guided ICBT success across referral pathway for moderate depression and anxiety disorders.Internet interventions · 2026Article
- [de:)press®: How expectations shape treatment satisfaction? : Observation of an app-based cognitive control training as an add-on therapy for people with depression].Der Nervenarzt · 2026Article
- Safety and preliminary efficacy of Aurora: a pilot, non-randomized clinical trial of a culturally adapted digital cognitive behavioral therapy intervention for anxiety and depression in Mexico.Frontiers in psychiatry · 2026Article
- Treatment expectations and depressive symptoms in an internet-based intervention for depression. A secondary analysis.Internet interventions · 2025Article
- A Social Support Just-in-Time Adaptive Intervention for Individuals With Depressive Symptoms: Feasibility Study With a Microrandomized Trial Design.JMIR mental health · 2025Article
- Comorbid anxiety predicts lower odds of MDD improvement in a trial of smartphone-delivered interventions.ArXiv · 2025Article
- Impact of Patient Engagement on Blood Pressure Control Among Older Individuals With Hypertension in a Mobile Health Intervention: Longitudinal Analysis Using Latent Growth Curve Modeling.Journal of medical Internet research · 2025Article
- Beneficial effect of artificial intelligence care call on memory and depression in community dwelling individuals with dementia.Scientific reports · 2025Article
- Article
- Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This systematic review aimed to synthesize evidence on predictors and moderators of treatment outcomes in internet- and mobile-based interventions (IMIs) for depression, informing personalized care. A systematic search across PubMed, PsycInfo, and Cochrane yielded 33,002 results. Two reviewers independently performed screening, data extraction, risk of bias assessment, and methodological quality evaluation. Fifty-eight single studies (m = 466 analyses) focusing on baseline-predictors (59.7 %, m = 278), process-predictors (16.5 %, m = 77), and moderators (21.9 %, m = 102), and six individual patient data meta-analyses (m = 93) were included. Only 24.0 % (m = 112/466) of analyses in single studies and 15.1 % (m = 14/93) in individual patient data meta-analyses were significant. Evidence from single studies was rated as insufficient for all variable categories with only 2 out of 40 categories showing >50 % significant results. Baseline depression severity had the strongest predictive value with higher scores linked to better outcomes followed by variables indicative for the course-of-change. Other frequently analyzed and potentially relevant variables with significant results were adherence, age, educational level, ethnicity, relationship status, treatment history, and behavioral variables. More high quality quantitative studies with sufficient power are essential to validate and expand findings, identifying predictors and moderators specifically relevant in IMIs to explain differential treatment effects.
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