ArticleJournal of medical Internet research2017
Defining and Predicting Patterns of Early Response in a Web-Based Intervention for Depression.
Article in Journal of medical Internet research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07113548 (PERSONAE), which is not on this map. Cited by 20 papers, 2 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.
PERSONAE: a Personalized Adaptation of Stepped Care Internet-based Cognitive Behavioral Therapy for Depression - A Randomized Controlled Trial
Who cites it
20 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Digital Psychotherapies for Adults Experiencing Depressive Symptoms: Systematic Review and Meta-Analysis.JMIR mental health · 2024Pooled it
- Effectiveness of a tailored, integrative Internet intervention (deprexis) for depression: Updated meta-analysis.PloS one · 2020Pooled it
- Personalized Transdiagnostic Cognitive Behavior Therapy With Midtreatment Stepped Care to Improve Mental Health Among University Students in Sweden: Feasibility Study for a Randomized Controlled Trial.JMIR formative research · 2026Trial
- Symptom Trajectories in Patients With Anxiety Disorders During Transdiagnostic Cognitive Behavioral Therapy.Depression and anxiety · 2026Trial
- A two-armed pragmatic randomized controlled trial comparing the effectiveness of two self-compassion interventions at reducing perceived stress.Frontiers in digital health · 2026Trial
- Targeting emotional regulation using an Internet-delivered psychological intervention for cancer survivors: A randomized controlled trial.British journal of health psychology · 2023Trial
- Trajectories of Symptoms in Digital Interventions for Depression and Anxiety Using Routine Outcome Monitoring Data: Secondary Analysis Study.JMIR mHealth and uHealth · 2023Trial
- Scheduled Telephone Support for Internet Cognitive Behavioral Therapy for Depression in Patients at Risk for Dropout: Pragmatic Randomized Controlled Trial.Journal of medical Internet research · 2020Trial
- How individuals change during internet-based interventions for depression: A randomized controlled trial comparing standardized and individualized feedback.Brain and behavior · 2020Trial
- Beyond Usage Time: Rethinking Therapeutic Dose and Effect in Digital Therapeutics.JMIR mental health · 2026Article
- Efficacy of a personalized, response-based transdiagnostic intervention for emotional disorders delivered via the Internet: a protocol for an adaptive randomized controlled trial.Frontiers in psychiatry · 2026Article
- Early changes in passively sensed homestay predict depression symptom improvement during digital behavioral activation.Behaviour research and therapy · 2025Article
- Is one additional phone call enough? - Effectiveness of additional human support to reduce dropout from an internet-based intervention for depressive symptoms: A randomized-controlled trial.Internet interventions · 2025Article
- Clinically sufficient classification accuracy and key predictors of treatment failure in a randomized controlled trial of Internet-delivered Cognitive Behavior Therapy for Insomnia.Internet interventions · 2022Article
- Text based internet intervention of Binge Eating Disorder (BED): Words per message is associated with treatment adherence.Internet interventions · 2022Article
- Brief online motivational interviewing pre-treatment intervention for enhancing internet-delivered cognitive behaviour therapy: A randomized controlled trial.Internet interventions · 2021Article
- Impact of Users' Attitudes Toward Anonymous Internet Interventions for Cannabis vs. Alcohol Use: A Secondary Analysis of Data From Two Clinical Trials.Frontiers in psychiatry · 2021Article
- Outpatient and self-referred participants: Adherence to treatment components and outcome in an internet intervention targeting anxiety disorders.Internet interventions · 2020Article
- Interrelations between participant and intervention characteristics, process variables and outcomes in online interventions: A protocol for overarching analyses within and across seven clinical trials in ICare.Internet interventions · 2019Article
- Patient Experiences of Web-Based Cognitive Behavioral Therapy for Heart Failure and Depression: Qualitative Study.Journal of medical Internet research · 2018Article
Corrections and comments
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Authors and funding
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWeb-based interventions for individuals with depressive disorders have been a recent focus of research and may be an effective adjunct to face-to-face psychotherapy or pharmacological treatment.
objectiveThe aim of our study was to examine the early change patterns in Web-based interventions to identify differential effects.
methodsWe applied piecewise growth mixture modeling (PGMM) to identify different latent classes of early change in individuals with mild-to-moderate depression (n=409) who underwent a CBT-based web intervention for depression.
resultsOverall, three latent classes were identified (N=409): Two early response classes (n=158, n=185) and one early deterioration class (n=66). Latent classes differed in terms of outcome (P<.001) and adherence (P=.03) in regard to the number of modules (number of modules with a duration of at least 10 minutes) and the number of assessments (P<.001), but not in regard to the overall amount of time using the system. Class membership significantly improved outcome prediction by 24.8% over patient intake characteristics (P<.001) and significantly added to the prediction of adherence (P=.04).
conclusionsThese findings suggest that in Web-based interventions outcome and adherence can be predicted by patterns of early change, which can inform treatment decisions and potentially help optimize the allocation of scarce clinical resources.
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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.