ArticleInternet interventions2023
Low-effort internet intervention to reduce students' stress delivered with Meta's Messenger chatbot (Stressbot): A randomized controlled trial.
Article in Internet interventions, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.
- How have contemporary research studies used social media to recruit to digital self-help intervention research for young people's mental health?: a mapping review.BMC medical research methodology · 2025Pooled it
- Investigating the Efficacy of the Web-Based Common Elements Toolbox (COMET) Single-Session Interventions in Improving UK University Student Well-Being: Randomized Controlled Trial.Journal of medical Internet research · 2025Trial
- A Chatbot-Delivered Stress Management Coaching for Students (MISHA App): Pilot Randomized Controlled Trial.JMIR mHealth and uHealth · 2024Trial
- Effectiveness of AI and rule-based conversational agents for depression, anxiety and stress: A meta-analysis.NPJ digital medicine · 2026Article
- How have contemporary studies evaluating self-help digital mental health interventions for young people monitored and reported on adverse events and harms?: a systematic scoping review.Frontiers in psychology · 2026Review
- Meta Self-Efficacy Internet Intervention to Support Occupational Health in Young Employees: Protocol for Co-Creation and a Randomized Controlled Trial.JMIR research protocols · 2025Article
- How do we know that they actually use it? Exploring measures of adherence to stress management strategies in university students: A systematic review.Internet interventions · 2025Review
- The role of self-efficacy in internet-based interventions for mental health: A systematic review and meta-analysis.Internet interventions · 2025Review
- Digital Mental Health Interventions for Young People Aged 16-25 Years: Scoping Review.Journal of medical Internet research · 2025Article
- Bridging the adherence gap in internet interventions: A randomized controlled trial study protocol investigating context-specific self-efficacy.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
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In order to be more accessible and overcome the challenges of low adherence and high dropout, self-guided internet interventions need to seek new delivery formats. In this study, we tested whether a widely-adopted social media app - Meta's (Facebook) Messenger - would be a suitable conveyor of such an internet intervention. Specifically, we verified the efficacy of Stressbot: a Messenger chatbot-delivered intervention focused on enhancing coping self-efficacy to reduce stress and improve quality of life in university students. Participants (
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What OpenQuestion holds
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.