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Record W2591989932 · doi:10.2196/iproc.4679

A Randomized Controlled Trial of an Internet-Delivered Treatment: Its Potential as a Low-Intensity Community Intervention for Adults With Symptoms of Depression

2015· article· en· W2591989932 on OpenAlexvenueno aff
Derek Richards, Ladislav Timulák, Emma O’Brien, Claire Hayes, Noemi Viganò, John Sharry, Gavin Doherty

Bibliographic record

VenueIproceedings · 2015
Typearticle
Languageen
FieldPsychology
TopicDigital Mental Health Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsPsychological interventionContext (archaeology)Intervention (counseling)Randomized controlled trialDepression (economics)MedicineThe InternetPopulationPsychologyPhysical therapyPsychiatryClinical psychologyWorld Wide WebComputer scienceInternal medicineEnvironmental health

Abstract

fetched live from OpenAlex

Background: Online delivered treatments for depression have proved successful, with supported programs offering the potential for improved adherence and outcomes. Online support is particularly interesting in the context of increasing access to interventions, and delivering interventions population-wide. Objective: The research investigated if a supported online treatment is effective as a low-intensity community-based intervention for adults with depression. Based on previous successes with supported online treatments for, and the specific Space from Depression program, it was hypothesized that participants in the trial would demonstrate significant decreases in depressive symptoms post-intervention, with corresponding improvements in comorbid anxiety and quality of life indicators. Methods: The study was a randomized controlled trial of a supported 8 module online cognitive behavioral therapy (iCBT) program for adults with depressive symptoms (n=96) compared to a waiting-list control group (n=92). The primary outcome was depressive symptoms. The program was made available nationwide using trained supporters from an established depression charity. Results: For the treatment group, post-treatment effect sizes reported were large for the primary outcome measure on depression (d=1.19). The between-group effects were moderate for the primary outcomes (d=0.40) favoring the treatment group. Gains were maintained at 6-month follow-up. Conclusions: The results from the present study show that the SilverCloud internet-delivered cognitive-behavior therapy (iCBT) program, Space from Depression, is effective in reducing depressive symptoms in comparison to a waiting list control group. The study demonstrated the potential of an online delivered treatment with online support in a community sample of Irish adults `with symptoms of depression. It gives support to a model for delivering online depression interventions population-wide using trained supporters. In locations where behavioral and mental health services are underdeveloped, or where structures simply do not exist, or where there is a potential to offset risk and escalation of difficulties and benefit from early intervention, such a model of service provision could be feasible. Trial Registration: International Standard Randomized Controlled Trial Number (ISRCTN): 03704676; http://www.controlled-trials.com/ISRCTN03704676 (Archived by WebCite at http://www.webcitation/6cWQZmEvw).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0140.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.033
GPT teacher head0.352
Teacher spread0.319 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations13
Published2015
Admission routes1
Has abstractyes

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