Online versus in‐person delivery of cognitive behaviour therapy for obsessive compulsive disorder: An examination of effectiveness
Bibliographic record
Abstract
Cognitive behavioural therapy (CBT) including exposure and response prevention is the first-line psychological treatment for obsessive compulsive disorder (OCD). Given changes in the clinical landscape, there are increasing efforts to evaluate its effectiveness in online contexts. Mirroring the traditional in-person delivery, few studies have assessed the role of therapist-guided, manual-based CBT for OCD delivered in real-time via videoconferencing methods. The present study sought to fill this gap by comparing in-person and online delivery of group-based CBT for the treatment of OCD. A convenience sample of participants with moderate to severe OCD (n = 144) were recruited from a naturalistic database from two large OCD specialty assessment and treatment centres. Patients received group-based CBT that was provided in-person (pre-COVID-19 pandemic; March 2018 to March 2020) or online via videoconferencing (during the COVID-19 pandemic; March 2020 to April 2021). In both delivery methods, treatment consisted of 2-h weekly sessions led by trained clinicians. Analyses revealed that, regardless of treatment modality, both in-person and online groups demonstrated significant, reliable, and statistically equivalent improvements in OCD symptoms post-treatment. Videoconferenced, clinician-led CBT may be a promising alternative to in-person delivery for those with moderate to severe OCD symptoms.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".