Development and evaluation of a scale assessing therapist fidelity to guidelines for delivering therapist-assisted Internet-delivered cognitive behaviour therapy
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Internet-delivered cognitive behaviour therapy (ICBT) is often accompanied by therapist emails, but there is limited research on the quality of this therapist-assistance. In this study, an ICBT Therapist Rating Scale (ICBT-TRS) was developed and evaluated to assess whether therapist emails showed fidelity to specific therapist behaviours. Using data from a previous ICBT trial for depression and anxiety, the ICBT-TRS was used to rate 706 emails sent by 39 therapists to 91 randomly selected patients. Emails were rated for adherence (absent/present) and quality (inadequate/competent) on the following behaviours: Builds Rapport, Seeks Feedback, Provides Symptom Feedback, Provides Psychoeducation, Facilitates Understanding, Praises Effort, Encourages Practice, Clarifies Administrative Procedures, and Communicates Effectively. Inter-rater reliability was high. Most behaviours were identified as present in 72-100% of emails, with the exception of Provides Symptom Feedback and Facilitating Understanding which were only present in 54 and 61% of emails. The majority of emails were rated as high quality (88-98% of messages). While not related to symptom improvement, ICBT-TRS ratings were higher when patients were more engaged in ICBT (e.g. log-ins) and among therapists who specialized in ICBT or had a background in Psychology. The ICBT-TRS has potential to facilitate ICBT research and clinical training.
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.
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 | 0.000 |
| 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it