Feasibility of a self‐help treatment for insomnia comorbid with cancer
Bibliographic record
Abstract
OBJECTIVE: Professionally administered cognitive-behavioral therapy (CBT) is efficacious for treating insomnia in breast cancer survivors. However, given the limited accessibility to CBT for insomnia in cancer clinics, there is a need to develop other delivery formats for this intervention. This feasibility study examined patients' satisfaction with a self-help CBT for insomnia comorbid with cancer and gathered some preliminary data on its effect on sleep and associated features. METHODS: Eleven breast cancer patients reporting insomnia symptoms received a 6-week intervention composed of a 60-min video using an animated cartoon format and 6 short booklets developed in French. Patients completed a semi-structured interview at post-treatment, a battery of self-report scales and a daily sleep diary (14 days) at pre- and post-treatment and at a 3-month follow-up. RESULTS: At post-treatment interview, comments about the treatment material were uniformly positive. On a questionnaire, patients also reported to be satisfied with the treatment overall, with the video and the booklets' content, as well as with their sleep improvement at post-treatment (scores from 2.7 to 3.1; scale from 0 to 4). From pre- to post-treatment, moderate-to-large effect sizes and statistically and clinically significant differences were found on most sleep variables, as well as overall quality of life. These therapeutic gains were well sustained at a 3-month follow-up. CONCLUSIONS: Patients were satisfied with the treatment received. Although it is too early to draw any firm conclusion, treatment outcomes suggest a potential for integration into routine cancer care as a first-line sleep management intervention. Copyright © 2010 John Wiley & Sons, Ltd.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".