Competency building for self-management and self-care: evidence informed development of an empowerment course for breast cancer survivors
Bibliographic record
Abstract
18626 Purpose: To improve survivorship outcomes by empowering and preparing survivors to self- manage their health. We describe the evidence-informed development of a patient empowerment course “Managing Your Cancer Journey” offered in the Breast Cancer Survivorship Program at Princess Margaret Hospital in Toronto, Canada. Methods: Audio-taped and transcribed focus groups (3; n = 16 patients, August 2004), interviews (n = 8 lymphedema patients, spring 2004, n = 8 patients, spring 2005) were held for patient directed guidance in survivorship course and program development. A comprehensive literature review was conducted to develop a theoretical framework for empowerment. Three main competencies: knowing, navigating and negotiating emerged and were developed into 5 ×1.5 hour classes facilitated by two social workers in collaboration with health professionals and community organizations. Feedback from survivors in a community forum (n = 40) and during piloting with survivors (n = 10) and educators was solicited. Analysis of transcripts and observer/consultant debriefings were analyzed for emergent themes. Results: Respondents recommended program interventions that allowed people to gain mastery or a perceived sense of control over their lives with cancer. Survivors and expert consultants prioritized 3 major domains for the survivorship program: psychosocial support, information provision, and support for dealing with the physical effects of breast cancer. In response, outcome measures for empowerment will include: patient satisfaction, cancer knowledge, self-efficacy in disease management, empowerment, and depression. Conclusions: Ongoing iterative feedback from and piloting with the survivor target audience and embedding the course within the hospital’s strategic plan for patient centred care and competency building are keys to successful course implementation. No significant financial relationships to disclose.
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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 | 0.012 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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 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".