Facilitating the Dissemination of iCBT for the Treatment of Anxiety and Depression: A Feasibility Study
Bibliographic record
Abstract
Abstract Translating existing internet-based cognitive-behavioural therapy (iCBT), along with the use of transdiagnostic and self-guided formats, may prove to be a cost-effective option of disseminating iCBT. Only recently have encouraging findings been reported for a self-guided delivery. This study assessed the feasibility of a French and self-guided version of an existing English iCBT course, called the Wellbeing Course, for the treatment of anxiety and depression. Existing ICBT programs have not yet been delivered in French, although this language is spoken worldwide. Thirty-one participants were included in a single group pre-post open trial with a 3-month follow-up. Feasibility outcomes were attrition, treatment adherence, acceptability, and preliminary efficacy. Primary outcome measures were the Patient Health Questionnaire 9-item (PHQ-9) and the Generalised Anxiety Disorder 7-item (GAD-7). Nearly 75% of the participants completed the program. Over 80% of the participants provided posttreatment and follow-up data. All study completers reported that they would recommend the Wellbeing Course to a friend having similar problems. Significant reductions in symptoms of anxiety and depression were found following treatment, consistent with earlier studies. These preliminary findings support the use of the assessed strategies to facilitate the cross-cultural dissemination of iCBT for a more universal access to quality psychological care.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.018 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".