Exercise Prescription Practices of a Group of Canadian Internal Medicine Physicians
Bibliographic record
Abstract
Background: Internal Medicine (IM) physicians are in a prime role to prescribe exercise for chronic disease management. Our main objectives were to investigate the exercise prescription (EP) practices of IM physicians, and identify barriers and facilitators to EP. Methods: We emailed a confidential 16-item survey to 194 IM physicians practicing in the Central Zone of the Nova Scotia Health Authority (NSHA). The survey software Opinio was used for data collection and descriptive statistics. Results: A total of 108 IM physicians completed the survey (response rate = 55.7%). Sixty-five participants reported regular EP (60.2%). The main barriers to EP were lack of resources, time, and training. Facilitators included having patient education materials and EP pads available. Interpretation: Although most participants reported that exercise was important for chronic disease management, about 40% did not report regularly prescribing it. Enabling facilitators and addressing barriers may improve EP practices for this group of IM physicians.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".