Trial reportPLoS medicine2022
The effect of a therapeutic smartphone application on suicidal ideation in young adults: Findings from a randomized controlled trial in Australia.
Trial report in PLoS medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 7 of them syntheses 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
36 citing papers in PubMed, 7 syntheses or guidelines pooled it, 67 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
- Magnitude of the Digital Placebo Effect and Its Moderators on Generalized Anxiety Symptoms: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- The efficacy of cognitive behavioral therapy on reducing suicidal symptoms among adults: a systematic review and meta-analysis.Frontiers in psychology · 2025Pooled it
- Digital Interventions for Symptoms of Borderline Personality Disorder: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2024Pooled it
- The Acceptability, Engagement, and Feasibility of Mental Health Apps for Marginalized and Underserved Young People: Systematic Review and Qualitative Study.Journal of medical Internet research · 2024Pooled it
- Effectiveness of Online and Remote Interventions for Mental Health in Children, Adolescents, and Young Adults After the Onset of the COVID-19 Pandemic: Systematic Review and Meta-Analysis.JMIR mental health · 2024Pooled it
- Pooled it
- A Randomized Controlled Trial With an Internal Pilot of a Co-Designed App Targeting Upstream Suicide-Related Risk and Protective Factors Among International Students.Suicide & life-threatening behavior · 2026Trial
- Examining BRITEpath, a Digital Intervention for Reducing Adolescent Suicide Risk in Primary Care: A Randomized-Controlled Trial.Suicide & life-threatening behavior · 2026Trial
- Trial
- Efficacy of BrighterSide, a Self-Guided App for Suicidal Ideation: Randomized Controlled Trial.JMIR mental health · 2024Trial
- Engagement of people with lived experience in the design and development of digital mental health interventions: A scoping review of engagement characteristics and impacts.Internet interventions · 2026Review
- 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
- The Bud App: A protocol for a randomized controlled trial with an internal pilot phase targeting modifiable risk and protective factors for suicide among international students.Contemporary clinical trials communications · 2025Article
- Effectiveness of Mobile Applications for Suicide Prevention: A Systematic Review and Meta-Analysis.Behavioral sciences (Basel, Switzerland) · 2025Review
- Human-Centered Design and Digital Transformation of Mental Health Services.JMIR human factors · 2025Review
- Digital Mental Health Interventions for Young People Aged 16-25 Years: Scoping Review.Journal of medical Internet research · 2025Article
- Acceptability and Usability of a Digital Behavioral Health Platform for Youth at Risk of Suicide: User-Centered Design Study With Patients, Practitioners, and Business Gatekeepers.JMIR formative research · 2025Article
- A meta-analysis of persuasive design, engagement, and efficacy in 92 RCTs of mental health apps.NPJ digital medicine · 2025Article
- Adherence and efficacy outcomes in young Australians with suicidal ideation using a self-management app and digital engagement strategy compared with a sham app: a three-arm randomised controlled trial.EClinicalMedicine · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSuicidal ideation is a major risk for a suicide attempt in younger people, such that reducing severity of ideation is an important target for suicide prevention. Smartphone applications present a new opportunity for managing ideation in young adults; however, confirmatory evidence for efficacy from randomized trials is lacking. The objective of this study was to assess whether a therapeutic smartphone application ("LifeBuoy") was superior to an attention-matched control application at reducing the severity of suicidal ideation. METHODS AND
findingsIn this 2-arm parallel, double-blind, randomized controlled trial, 455 young adults from Australia experiencing recent suicidal ideation and aged 18 to 25 years were randomly assigned in a 2:2 ratio to use a smartphone application for 6 weeks in May 2020, with the final follow-up in October 2020. The primary outcome was change in suicidal ideation symptom severity scores from baseline (T0) to postintervention (T1) and 3-month postintervention follow-up (T2), measured using the Suicidal Ideation Attributes Scale (SIDAS). Secondary outcomes were symptom changes in depression (Patient Health Questionnaire-9, PHQ-9), generalized anxiety (Generalized Anxiety Disorder-7, GAD-7), distress (Distress Questionnaire-5, DQ5), and well-being (Short Warwick-Edinburgh Mental Well-Being Scale, SWEMWBS). This trial was conducted online, using a targeted social media recruitment strategy. The intervention groups were provided with a self-guided smartphone application based on dialectical behavior therapy (DBT; "LifeBuoy") to improve emotion regulation and distress tolerance. The control group were provided a smartphone application that looked like LifeBuoy ("LifeBuoy-C"), but delivered general (nontherapeutic) information on a range of health and lifestyle topics. Among 228 participants randomized to LifeBuoy, 110 did not complete the final survey; among 227 participants randomized to the control condition, 91 did not complete the final survey. All randomized participants were included in the intent-to-treat analysis for the primary and secondary outcomes. There was a significant time × condition effect for suicidal ideation scores in favor of LifeBuoy at T1 (p < 0.001, d = 0.45) and T2 (p = 0.007, d = 0.34). There were no superior intervention effects for LifeBuoy on any secondary mental health outcomes from baseline to T1 or T2 [p-values: 0.069 to 0.896]. No serious adverse events (suicide attempts requiring medical care) were reported. The main limitations of the study are the lack of sample size calculations supporting the study to be powered to detect changes in secondary outcomes and a high attrition rate at T2, which may lead efficacy to be overestimated.
conclusionsLifeBuoy was associated with superior improvements in suicidal ideation severity, but not secondary mental health outcomes, compared to the control application, LifeBuoy-C. Digital therapeutics may need to be purposefully designed to target a specific health outcome to have efficacy.
trial registrationAustralian New Zealand Clinical Trials Registry ACTRN12619001671156.
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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.