ArticleInternet interventions2024
Crowdsourcing integrated into a digital mental health platform for anxiety and depression: A pilot randomized controlled trial.
Article in Internet interventions, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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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
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Who cites it
2 citing papers in PubMed.
- Digital peer support interventions for people with mental health conditions in outpatient settings: a systematic review and meta-analysis.BMJ mental health · 2026Article
- Crowdsourcing integrated into a digital mental health platform for anxiety and depression: A pilot randomized controlled trial.Internet interventions · 2024Article
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
Abstract
Background: Anxiety and depression are major public health concerns. Digital mental health interventions (DMHIs) are effective at reducing anxiety and depression, especially when they leverage human support. However, DMHIs that rely on human supporters tend to be less scalable. "Crowdsourced peer support," in which a "crowd" of many peers provides users support via structured and focused interactions, may enable DMHIs to provide some of human support's unique benefits at scale. Objective: To conduct a pilot trial of two versions of a digital mental health intervention for anxiety and depression: one with crowdsourced peer support and one without. Methods: We conducted a two-armed pilot randomized controlled trial examining two versions of the novel "Overcoming Thoughts" platform: crowdsourced (intervention) vs. non-crowdsourced (control). The crowdsourced version allowed participants to view and interact with other users' content. We randomly assigned 107 participants to use the crowdsourced ( Results: Using mixed models controlling for demographic factors, we compared the conditions' effectiveness in reducing depression and anxiety over time. Although we found significant drops over time in the DASS at both Week 8 and Week 16 ( Conclusions: Neither version of the "Overcoming Thoughts" platform (crowdsourced or non-crowdsourced) reduced anxiety or depression significantly more than the other. Future work should investigate how digital platforms can better leverage crowdsourced support, and if crowdsourced support may be especially useful in certain kinds of systems, populations, or target areas. Optimizing intervention engagement and obtaining the large sample sizes needed for appropriate statistical power will be key challenges for similar studies.NCT: 04226742.
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