Characterizing non-curative cancer patient’s preferences, barriers, and facilitators to engaging in exercise programs: A scoping review protocol
Bibliographic record
Abstract
Objective: The objective of this scoping review is to understand the existing knowledge on, non-curative cancer patients’ preferences, barriers, and facilitators to engaging in an exercise program, strategies for practitioners to increase the uptake of exercise program for non-curative cancer patients. Introduction: Early palliative interventions for patients with non-curative cancers have shown to have positive effects on an individual’s quality of life. A common objective of early palliative interventions is to enhance quality of life, enable symptom management and improve mental health. Although not a specific component of early palliative care, tailored exercise program have the similar goal of enhancing quality of life in non-curative cancer patients.Inclusion criteria: This review will consider sources that include non-curative cancer patients and their needs and experiences regarding participating in exercise programs. Qualitative, quantitative, mixed methods and grey literature will be searched.Methods: This scoping review will be conducted in accordance with JBI methodology. Databases to be searched from their respective inception to Sept 9, 2021 include CINAHL, MEDLINE, EMBASE, Scopus, SPORTDiscus and PsychINFO. A comprehensive search strategy was developed in accordance with JBI methodology to retrieve relevant sources. Two independent reviewers will screen titles and abstracts as well as full texts of relevant sources. The results of the search and the study inclusion process will be reported in full in a PRISMA-ScR flow diagram. Data will be extracted by two independent reviewers and then mapped onto the Behaviour Change Wheel. The results will be presented narratively, using appropriate tables and figures.Conclusion: This review will map key barriers, facilitators, and preferences to partaking in exercise programs for individuals with non-curative cancer. This will aid in informing priorities for subsequent implementation studies.
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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 | 0.134 | 0.089 |
| Meta-epidemiology (narrow) | 0.005 | 0.006 |
| Meta-epidemiology (broad) | 0.014 | 0.016 |
| Bibliometrics | 0.020 | 0.016 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.008 | 0.008 |
| Research integrity | 0.011 | 0.007 |
| Insufficient payload (model declined to judge) | 0.058 | 0.015 |
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".