Telephone-Administered Cognitive Behavior Therapy for Obsessive-Compulsive Disorder
Bibliographic record
Abstract
Exposure with response prevention and cognitive behavior therapy are widely recognized as effective treatments for obsessive-compulsive disorder. Unfortunately, many people with obsessive-compulsive disorder--particularly those living in rural areas--do not have access to therapists providing these treatments. Accordingly, we investigated the efficacy of telephone-administered cognitive behavior therapy for obsessive-compulsive disorder. Two open trials are reported, for a total of 33 people with obsessive-compulsive disorder (without major depression). The first trial consisted of 12 weeks on a waiting list followed by 12 weeks of treatment (delayed treatment). The second trial consisted of 12 weeks of immediate treatment. Obsessive-compulsive symptoms did not change during the waiting period. Symptoms declined from pre- to post-treatment, with gains maintained at 12-week follow-up. For the pooled sample our pre-to-post-treatment effect size was as large or larger than those obtained in other studies of reduced contact treatment, and similar to those of face-to-face exposure with response prevention. Our proportion of treatment dropouts tended to be lower than those of other reduced contact interventions. The results suggest that telephone-administered cognitive behavior therapy is effective and well-tolerated, at least for people with obsessive-compulsive disorder without major depression. It remains to be seen whether this treatment is safe and effective when comorbid major depression is present.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".