ArticleBJPsych open2016
Online screening and feedback to increase help-seeking for mental health problems: population-based randomised controlled trial.
Article in BJPsych open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Social media recruitment for mental health research: A systematic review.Comprehensive psychiatry · 2020Pooled it
- Digital Interventions for Screening and Treating Common Mental Disorders or Symptoms of Common Mental Illness in Adults: Systematic Review and Meta-analysis.Journal of medical Internet research · 2020Pooled it
- Potential Harms of Feedback After Web-Based Depression Screening: Secondary Analysis of Negative Effects in the Randomized Controlled DISCOVER Trial.Journal of medical Internet research · 2025Trial
- Increasing intentions to use mental health services among university students. Results of a pilot randomized controlled trial within the World Health Organization's World Mental Health International College Student Initiative.International journal of methods in psychiatric research · 2019Trial
- Short-Form Psychoeducation Videos: Process Development Study.JMIR formative research · 2025Article
- The Trajectories of Online Mental Health Information Seeking: Modeling Search Behavior Before and After Completion of Self-report Screens.Computers in human behavior · 2024Article
- A Brief Workplace Training Program to Support Help-Seeking for Mental Ill-Health: Protocol for the Helipad Cluster Randomized Controlled Trial.JMIR research protocols · 2024Article
- How adults with suspected depressive disorder experience online depression screening: A qualitative interview study.Internet interventions · 2023Article
- Preliminary Clinical Outcomes of the Hello Sunday Morning Alcohol and Wellbeing Self-Assessment: Feasibility and Acceptability Study.JMIR formative research · 2023Article
- Factors Influencing Community Participation in Internet Interventions Compared With Research Trials: Observational Study in a Nationally Representative Adult Cohort.Journal of medical Internet research · 2023Observational
- Digital Interventions to Enhance Readiness for Psychological Therapy: Scoping Review.Journal of medical Internet research · 2022Article
- Technology-Based Interventions to Improve Help-Seeking for Mental Health Concerns: A Systematic Review.Indian journal of psychological medicine · 2022Article
- "I Wanted to See How Bad it Was": Online Self-screening as a Critical Transition Point Among Young Adults with Common Mental Health Conditions.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2022Article
- Group-tailored feedback on online mental health screening for university students: using cluster analysis.BMC primary care · 2022Observational
- Impact of online mental health screening tools on help-seeking, care receipt, and suicidal ideation and suicidal intent: Evidence from internet search behavior in a large U.S. cohort.Journal of psychiatric research · 2022Article
- A cluster randomised controlled trial of a web-based youth mental health service in Australian schools.The Lancet regional health. Western Pacific · 2021Article
- Impact of a Web-Based Psychiatric Assessment on the Mental Health and Well-Being of Individuals Presenting With Depressive Symptoms: Longitudinal Observational Study.JMIR mental health · 2021Article
- Preliminary Analysis of the Factor Structure, Reliability and Validity of an Obsessive-Compulsive Disorder Screening Tool for Use with Adults in Malaysia.International journal of environmental research and public health · 2019Article
- Impact of Mental Health Screening on Promoting Immediate Online Help-Seeking: Randomized Trial Comparing Normative Versus Humor-Driven Feedback.JMIR mental health · 2018Article
- Adolescents' Perspectives on a Mobile App for Relationships: Cross-Sectional Survey.JMIR mHealth and uHealth · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCommunity-based screening for mental health problems may increase service use through feedback to individuals about their severity of symptoms and provision of contacts for appropriate services.
aimsThe effect of symptom feedback on service use was assessed. Secondary outcomes included symptom change and study attrition.
methodUsing online recruitment, 2773 participants completed a comprehensive survey including screening for depression (
resultsA negative effect of providing social anxiety feedback to individuals was observed, with significant reductions in professional service use. Greater attrition and lower intentions to seek help were also observed after feedback.
conclusionsOnline mental health screening with feedback is not effective for promoting professional service use. Alternative models of online screening require further investigation. DECLARATION OF INTEREST: None. COPYRIGHT AND USAGE: © The Royal College of Psychiatrists 2016. This is an open access article distributed under the terms of the Creative Commons Non-Commercial, No Derivatives (CC BY-NC-ND) licence.
Identifiers
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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.