Abstract P4-04-09: Supporting the Knowledge Translation of Exercise Recommendations for People with Bone Metastases using Experience-based Co-Design
Bibliographic record
Abstract
Abstract Background: Historically, people with bone metastases have been advised to limit exercise due to the risk of adverse events, such as fractures. In 2022, the International Bone Metastases Exercise Working Group published evidence-informed recommendations indicating that regular exercise can enhance physical function and quality of life in these patients, and the risk of skeletal events should be weighed against potential health benefits. Barriers remain to the adoption of these recommendations into clinical practice, including lack of knowledge about how to exercise safely and uncertainty where to find guidance for exercise advice. This project aims to collaborate with knowledge users (KUs) through an experience-based co-design (EBCD) process to develop knowledge translation (KT) products and a dissemination plan to facilitate the uptake of exercise recommendations for people with bone metastases. Methods: Three KU groups were engaged using EBCD: 1) patient/family partners; 2) oncology healthcare providers (physicians, nurses, allied health professionals); and 3) community-based exercise professionals (physiotherapists, exercise physiologists). Through facilitated meetings, ideas for KT products were generated, prioritized, and co-created, and a dissemination and evaluation plan was developed. A survey of exercise professionals was used to collect further information on professional development (PD) preferences. Results: Twenty-nine KUs participated in four engagement sessions (n = 10 patient/family partners, n = 9 healthcare providers, and n = 10 exercise professionals). The prioritized KT products for development were: 1) a patient education handout; 2) patient education videos; 3) a health information form (HIF); and 4) professional development (PD) materials for exercise professionals and healthcare providers. The HIF was designed to easily collect pertinent health and oncology-related patient information that would be necessary for an exercise professional when developing exercise prescription/recommendations. A total of 183 international exercise professionals completed the PD survey, with 80% indicating that more PD resources were needed for bone metastases, focusing on exercise safety, feasibility, and prescription considerations. Over 80% of respondents found the purpose of the HIF form was easy to understand and over 75% rated the content as excellent or very good. Our dissemination and evaluation plan included a combination of targeted social media, direct connections with key organizations, presentations, and promotion through the Canadian Cancer Society and its channels. All these products are hosted on the Bone Metastases & Exercise (BMD) Hub (bit.ly/BMEhub). In the first 30 days post-launch, the BME Hub had 5,243 views from 2,407 unique users. Full engagement results will be available at the time of conference. Discussion & Conclusion: Collaborating with KUs through EBCD has enabled the development of diverse KT products that are more likely to be useful and acceptable to the intended audience than those designed by researchers alone. Thus far, use of the Hub has been promising; further evaluation of reach, usage, and partnership indicators of the KT products and dissemination plan will be evaluated. Citation Format: Diego Malon Gimenez, Kelcey A. Bland, Sarah E. Neil-Sztramko, David M. Langelier, Kirstin N. Lane, Alana Chalmers, Rhoda Dinardo, Nicole Prestley, Sarah Weller, Shabbir Alibhai, Lauren Capozzi, Janet Papadakos, Karen McDonald, Jane Copp, Margaret McNeely, Leah Lambert, Christine Simmons, Alan Bates, Kristin L. Campbell, Michelle B. Nadler. Supporting the Knowledge Translation of Exercise Recommendations for People with Bone Metastases using Experience-based Co-Design [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2024; 2024 Dec 10-13; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2025;31(12 Suppl):Abstract nr P4-04-09.
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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 | 0.081 | 0.112 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".