Trial reportPloS one2014
Effectiveness of online self-help for suicidal thoughts: results of a randomised controlled trial.
Trial report in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 13 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
58 citing papers in PubMed, 13 syntheses or guidelines pooled it, 151 citations in OpenAlex.
- Efficacy of internet-based interventions to reduce suicidal ideation: a systematic review and meta-analysis.BMC psychiatry · 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 Effects of Internet-Based Cognitive Behavioral Therapy for Suicidal Ideation or Behaviors on Depression, Anxiety, and Hopelessness in Individuals With Suicidal Ideation: Systematic Review and Meta-Analysis of Individual Participant Data.Journal of medical Internet research · 2023Pooled it
- Pooled it
- Digital cognitive-behavioural therapy to reduce suicidal ideation and behaviours: a systematic review and meta-analysis of individual participant data.Evidence-based mental health · 2022Pooled it
- Improving Suicide Prevention Through Evidence-Based Strategies: A Systematic Review.The American journal of psychiatry · 2021Pooled it
- Systematic review and narrative synthesis of suicide prevention in high-schools and universities: a research agenda for evidence-based practice.BMC public health · 2021Pooled it
- Ethical issues and practical barriers in internet-based suicide prevention research: a review and investigator survey.BMC medical ethics · 2020Pooled it
- Internet-Based Cognitive Behavioral Therapy to Reduce Suicidal Ideation: A Systematic Review and Meta-analysis.JAMA network open · 2020Pooled it
- A Systematic Review of the Evidence Supporting Mobile- and Internet-Based Psychological Interventions For Self-Harm.Suicide & life-threatening behavior · 2020Pooled it
- Effectiveness of online and mobile telephone applications ('apps') for the self-management of suicidal ideation and self-harm: a systematic review and meta-analysis.BMC psychiatry · 2017Pooled it
- Psychosocial interventions for self-harm in adults.The Cochrane database of systematic reviews · 2016Pooled it
- Heterogeneous trajectories of suicidal ideation and depressive symptoms during an indicated school-based CBT intervention: a group-based trajectory modeling study.BMC psychology · 2026Trial
- Reframe-IT+, an indicated preventive school-based intervention, reduces suicidal ideation among adolescents in vulnerable contexts in Chile.BMC psychology · 2024Trial
- Efficacy of BrighterSide, a Self-Guided App for Suicidal Ideation: Randomized Controlled Trial.JMIR mental health · 2024Trial
- Feasibility, Acceptability, and Potential Efficacy of a Self-Guided Internet-Delivered Dialectical Behavior Therapy Intervention for Substance Use Disorders: Randomized Controlled Trial.JMIR mental health · 2024Trial
- The effect of a therapeutic smartphone application on suicidal ideation in young adults: Findings from a randomized controlled trial in Australia.PLoS medicine · 2022Trial
- Intervening on Thwarted Belongingness and Perceived Burdensomeness to Reduce Suicidality Among Veterans: Subanalyses From a Randomized Controlled Trial.Behavior therapy · 2019Trial
- Effectiveness of a Web-Based Self-Help Program for Suicidal Thinking in an Australian Community Sample: Randomized Controlled Trial.Journal of medical Internet research · 2018Trial
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMany people with suicidal thoughts do not receive treatment. The Internet can be used to reach more people in need of support.
objectiveTo test the effectiveness of unguided online self-help to reduce suicidal thoughts.
method236 adults with mild to moderate suicidal thoughts were randomised to the intervention (n=116) or a waitlist control group (n=120). Assessments took place at baseline, and 2, 4 and 6 weeks later. Primary outcome was suicidal thoughts. Secondary outcomes were depressive symptoms, anxiety, hopelessness, worry, and health status.
resultsThe intervention group showed a small significant effect in reducing suicidal thoughts (d=0.28). Effects were more pronounced for those with a history of repeated suicide attempts. There was also a significant reduction in worry (d=0.33). All other secondary outcomes showed small but non-significant improvements.
conclusionsAlthough effect sizes were small, the reach of the internet could enable this intervention to help many people reduce their suicidal thoughts.
trial registrationNetherlands Trial Register NTR1689.
Indexed as
Identifiers
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.