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Record W2759073417 · doi:10.1016/j.janxdis.2017.09.006

Randomized controlled trial of internet-delivered cognitive behaviour therapy comparing standard weekly versus optional weekly therapist support

2017· article· en· W2759073417 on OpenAlexafffund
Heather D. Hadjistavropoulos, Luke H. Schneider, Michael Edmonds, Eyal Karin, Marcie Nugent, D. Dirkse, Blake F. Dear, Nickolai Titov

Bibliographic record

VenueJournal of Anxiety Disorders · 2017
Typearticle
Languageen
FieldPsychology
TopicDigital Mental Health Interventions
Canadian institutionsUniversity of Regina
FundersCanadian Institutes of Health ResearchSaskatchewan Health Research FoundationHealth Research Foundation
KeywordsRandomized controlled trialPsychologyCognitive therapyPsychotherapistCognitionCognitive behavioral therapyClinical psychologyPhysical therapyPsychiatryMedicineInternal medicine

Abstract

fetched live from OpenAlex

Internet-delivered cognitive behaviour therapy (ICBT) is effective for treating anxiety and depression. The relative benefits of offering standard weekly compared to optional weekly therapist support in conjunction with ICBT within routine care has not been examined. Patients seeking ICBT for depression and or anxiety in routine care were randomized to standard (n=92) or optional (n=88) weekly support. The optional approach resulted in therapists receiving half as many messages from (1.70 vs. 3.96) and sending half as many messages to patients (3.62 vs. 7.29). Optional Support was associated with lower completion rates (56.6% versus 82.4%), but, similar to Standard Support, resulted in large reductions on the GAD-7 (within Cohen's d≥1.08; avg. reduction ≥47%) and PHQ-9 (within Cohen's d≥0.82; avg. reduction ≥43%) at post-treatment and 3-month follow-up. Optional weekly support appears clinically effective and acceptable for many patients and may reduce costs, but safety requires monitoring given lower completion rates.

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)0.006
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 score0.023
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0060.002
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0230.002

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 head0.047
GPT teacher head0.390
Teacher spread0.343 · 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

Citations76
Published2017
Admission routes2
Has abstractyes

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