Development and Evaluation of the Breast Cancer Online Rehabilitation (BRECOR) Program for Self-managed Upper-Body Rehabilitation for Women With Breast Cancer
Bibliographic record
Abstract
Background: Survivors of breast cancer experience upper-body issues. Objectives: To develop and evaluate a rehabilitation program (BRECOR) to support self-managed upper-body rehabilitation after treatment for breast cancer. Design: Development and feasibility study. Setting: Community-based. Participants: Development of program elements (clinical assessment tool, education pamphlet, and Website) was informed by 17 physical therapists with experience in oncology rehabilitation and 10 women with breast cancer. Feasibility was evaluated by 35 women who had recently undergone surgery for breast cancer and 29 women who had completed surgery and radiation therapy for breast cancer. Intervention: Participants performed an individualized 12-week self-managed upper-body rehabilitation program informed by the clinical assessment tool, with support from the education pamphlet and the Website. Measurements: Recruitment/retention rates, adherence, capacity, and participant satisfaction were collected to establish feasibility. Results: Feedback from the physical therapists was instrumental in developing the program content. User testing refined the program elements. Participant feedback in the feasibility testing was positive with good recruitment (80%), retention (83%), and adherence (72%) to the self-managed upper-body rehabilitation program. Participants improved their upper-body function and reported benefit from the program. Limitations: The effectiveness of the BRECOR program in improving upper-body function cannot be determined, as this was a single-group feasibility study. Conclusion: A feasible, self-managed upper-body rehabilitation program was developed through iterative stages of program development and feasibility testing. The BRECOR program elements provide a toolkit to enforce qualified upper-body assessment, provide rehabilitation prescriptions, and support self-managed upper-body rehabilitation after treatment for breast cancer.
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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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".