Implementing an exercise oncology model to reach rural and remote individuals living with and beyond cancer: a hybrid effectiveness-implementation protocol for project EXCEL (EXercise for Cancer to Enhance Living Well)
Bibliographic record
Abstract
INTRODUCTION: Individuals living with and beyond cancer from rural and remote areas lack accessibility to supportive cancer care resources compared with those in urban areas. Exercise is an evidence-based intervention that is a safe and effective supportive cancer care resource, improving physical fitness and function, well-being and quality of life. Thus, it is imperative that exercise oncology programs are accessible for all individuals living with cancer, regardless of geographical location. To improve accessibility to exercise oncology programs, we have designed the EXercise for Cancer to Enhance Living Well (EXCEL) study. METHODS AND ANALYSIS: EXCEL is a hybrid effectiveness-implementation study. Exercise-based oncology knowledge from clinical exercise physiologists supports healthcare professionals and community-based qualified exercise professionals, facilitating exercise oncology education, referrals and programming. Recruitment began in September 2020 and will continue for 5 years with the goal to enroll ~1500 individuals from rural and remote areas. All tumour groups are eligible, and participants must be 18 years or older. Participants take part in a 12-week multimodal progressive exercise intervention currently being delivered online. The reach, effectiveness, adoption, implementation, and maintenance (RE-AIM) framework is used to determine the impact of EXCEL at participant and institutional levels. Physical activity, functional fitness and patient-reported outcomes are assessed at baseline and 12-week time points of the EXCEL exercise intervention. ETHICS AND DISSEMINATION: The study was approved by the Health Research Ethics Board of Alberta. Our team will disseminate EXCEL information through quarterly newsletters to stakeholders, including participants, qualified exercise professionals, healthcare professionals and community networks. Ongoing outreach includes community presentations (eg, support groups, fitness companies) that provide study updates and exercise resources. Our team will publish manuscripts and present at conferences on EXCEL's ongoing implementation efforts across the 5-year study. TRIAL REGISTRATION NUMBER: NCT04478851.
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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 | 0.044 | 0.028 |
| Meta-epidemiology (narrow) | 0.004 | 0.003 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.005 | 0.007 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.054 | 0.008 |
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".