The mindfulness‐based cognitive therapy adherence scale: inter‐rater reliability, adherence to protocol and treatment distinctiveness
Bibliographic record
Abstract
Abstract The development of the Mindfulness‐Based Cognitive Therapy Adherence Scale (MBCT‐AS) is described. This 17‐item scale measures therapist adherence to the treatment protocol for Mindfulness‐Based Cognitive Therapy (MBCT), a treatment for the prevention of recurrence in Major Depressive Disorder. The MBCT‐AS assesses therapist behaviours specific to (MBCT) as well as therapy practices that MBCT shares with Cognitive Behaviour Therapy (CBT). To determine the utility of this scale, we compared delivery of group MBCT against group CBT, with independent ratings of taped sessions provided to measure adherence to MBCT and CBT for therapists in both groups. The results showed that: (a) raters can reliably use the MBCT‐AS; (b) MBCT therapists demonstrated adherence to the treatment protocol, as measured by the MBCT‐AS; and (c) MBCT is distinguishable from CBT on both the MBCT‐AS and a scale measuring adherence to CBT (CBT‐AS). These findings indicate that the MBCT‐AS may be a useful tool for ensuring the proper delivery of MBCT in future research, and may be helpful in determining the elements of MBCT that are unique to that treatment. Copyright © 2002 John Wiley & Sons, Ltd.
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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 | 0.024 | 0.050 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 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".