ReviewInternet interventions2025
A systematic review on personalization of treatment components in IBIs for mental disorders.
Review in Internet interventions, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Leveraging expectation effects to improve outcomes in the context of digital mental health interventions.Internet interventions · 2026Review
- Co-design of a complex school-based intervention for attention deficit/hyperactivity disorder using the Intervention Mapping approach.JCPP advances · 2026Article
- Using Ultra-Abridged Individual Difference Scales for Personalization in Digital Mental Health to Improve Uptake, Engagement, and Experiences: Three-Tiered Decision Framework for Scale Shortening.Journal of medical Internet research · 2026Article
- A clinically actionable framework for personalizing iCBT to improve depression outcomes.NPJ digital medicine · 2026Review
- Mind the Gap: Exploring Parental Intentions, Actual Engagement, and Associated Outcomes in Tailored Digital Parent Training.Pediatric reports · 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
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Internet-based interventions (IBIs) offer the potential for personalization through various mechanisms and components. Objective: This systematic review aimed to synthesize evidence on the personalization of treatment components within IBIs targeting diverse mental health conditions. Specifically, we focused on studies that directly compared personalized components to standardized ones to isolate the impact of personalization on mental health outcomes and treatment adherence. Results: Thirteen studies were identified that compared personalized to non-personalized components, with the personalization of IBI content and personalized guidance investigated the most. Apart from one study that personalized more than one IBI component, studies did not find a significant positive effect of personalization on mental health outcomes. Two studies reported better adherence for human feedback personalized to user input than for the automated non-personalized guidance. Discussion: The results reveal a gap between the theoretical potential of personalization in IBIs and the current evidence supporting its impact on outcomes and adherence. The diversity in personalization strategies across studies complicates the ability to draw definitive conclusions. To address this, more detailed descriptions of how personalization is both implemented and communicated to patients are recommended.
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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.