Method of Treatment Allocation: Does It Affect Adherence to Behavioural Therapy for Insomnia?
Bibliographic record
Abstract
Adherence to treatment is critical in determining the effects of behavioural therapy and may be affected by participants' preference for treatment. The purpose of this study was to determine the extent to which method of allocation to treatment (random vs. preference-based) influences adherence (exposure and enactment) to behavioural therapy. Participants received behavioural therapy for the management of insomnia randomly or by preference. Exposure was assessed as attendance at the treatment sessions, enactment as self-reported application of treatment recommendations. Participants (N = 262) attended a mean of 5.6 treatment sessions, applied the treatment recommendations frequently, and reported high levels of overall compliance. There was no difference between the random and preference groups in terms of exposure to and enactment of treatment. Randomization to the preferred treatment, dissatisfaction with the allocated treatment, and self-report bias could play a role in the findings and should be explored in future research.
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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 | 0.067 | 0.201 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".