ArticleInternet interventions2021
The efficacy of automated feedback after internet-based depression screening: Study protocol of the German, three-armed, randomised controlled trial DISCOVER.
Article in Internet interventions, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04633096 (The Efficacy of Automated Feedback After Internet-based Depression Screening), which is not on this map. Cited by 12 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
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.
The Efficacy of Automated Feedback After Internet-based Depression Screening: the German, Three-armed, Randomised Controlled Trial DISCOVER
Who cites it
12 citing papers in PubMed, 16 citations in OpenAlex.
- Automated Feedback After Internet-Based Depression Screening: Cost-Effectiveness Analysis of a Randomized Controlled Trial.JMIR formative research · 2025Trial
- Do illness beliefs predict uptake of depression treatment after web-based depression screening? A secondary analysis of the DISCOVER RCT.BMJ mental health · 2025Trial
- 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
- Cost-effectiveness of targeted feedback interventions after depression screening in primary care: health economic evaluation of the GET.FEEDBACK.GP trial.BJPsych open · 2026Article
- Article
- "Salud Mamaria", an internet-based psychoeducational program during the breast cancer diagnosis process: Protocol for a randomized controlled trial.Contemporary clinical trials communications · 2025Article
- Uncovering hidden depression: the critical role of depression screening in sleep disorders at U.S. sleep centers.Frontiers in psychiatry · 2025Article
- Internet-based self-administered intervention to reduce anxiety and depression symptomatology and improve well-being in 7 countries: protocol of a randomized control trial.Frontiers in psychology · 2024Article
- How adults with suspected depressive disorder experience online depression screening: A qualitative interview study.Internet interventions · 2023Article
- International comparability of depression scores from self-report scales: opportunities and challenges.The Lancet regional health. Europe · 2023Article
- Did online information seeking for depression increase during COVID-19 lockdown times? A google trend analysis on data from Germany and the UK.Journal of affective disorders reports · 2023Article
- From the identification of biopsychosocial risk factors to an increase in pain-related self-efficacy (IDRIS) - The online-based conveyance of an explanatory model for chronic back pain: Study protocol of a cohort multiple randomized controlled trial.Internet interventions · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDepression is one of the most disabling disorders worldwide, yet it often remains undetected. One promising approach to address both early detection and disease burden is depression screening followed by direct feedback to patients. Evidence suggests that individuals often seek information regarding mental health on the internet. Thus, internet-based screening with automated feedback has great potential to address individuals with undetected depression.
objectivesTo determine whether automated feedback after internet-based depression screening reduces depression severity as compared to no feedback.
methodsThe internet-based, observer-blinded DISCOVER RCT aims to recruit a total of 1074 individuals. Participants will be screened for depression using the Patient Health Questionnaire (PHQ-9). In case of a positive screening result (PHQ-9 ≥ 10), participants with undetected depression will be randomised into one of three balanced study arms to receive either (a) no feedback (control arm), (b) standard feedback, or (c) tailored feedback on their screening result. The tailored feedback version will be adapted to participants' characteristics, i.e. symptom profile, preferences, and demographic characteristics. The primary hypothesis is that feedback reduces depression severity six months after screening compared to no feedback. The secondary hypothesis is that tailored feedback is more efficacious compared to standard feedback. Further outcomes are depression care, help-seeking behaviour, health-related quality of life, anxiety, somatic symptom severity, intervention acceptance, illness beliefs, adverse events, and a health economic evaluation. Follow-ups will be conducted one month and six months after screening by self-report questionnaires and clinical interviews. According to a statistical analysis plan, the primary outcome will be analysed on an intention-to-treat basis applying multilevel modelling. DISCUSSION: The results of the DISCOVER RCT will inform about how automated feedback after internet-based screening could improve early detection and resolution of depression. Ways of dissemination and how the trial can contribute to an understanding of help-seeking behaviour processes will be discussed. If the results show that automated feedback after internet-based depression screening can reduce depression severity, the intervention could be easily implemented and might substantially reduce the disease burden of individuals with undetected depression. ETHICAL APPROVAL: The study is approved by the Ethics Committee of the Hamburg Medical Association.
trial registrationThe trial was registered at ClinicalTrials.gov in November 2020 (identifier: NCT04633096).
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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.