Patient Perspectives on Strengths and Challenges of Therapist-Assisted Internet-Delivered Cognitive Behaviour Therapy: Using the Patient Voice to Improve Care
Bibliographic record
Abstract
Therapist-assisted internet-delivered cognitive behaviour therapy (T-ICBT) involves patients reading online treatment materials, completing relevant exercises, and receiving therapist support. This study aimed to understand the preferences and recommendations of 225 patients enrolled in a T-ICBT course for depression and anxiety via an online therapy unit in collaboration with community mental health clinics dispersed across one Canadian province. An open-ended survey asked participants their opinions of the course and responses were analyzed using a content analysis approach. Patient comments addressed many strengths of the course (64%), with some opportunities for improvement (36%). Most-appreciated features included ability to download content for future use, reading other patients' experiences, and content of lessons. Patients made suggestions for improving the breadth of patient stories, timeline of the course, and matching availability of the therapist to patient need. Patient feedback regarding preferences provides valuable information for improving the patient-centered nature of T-ICBT.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".