Can a 3-hour educational workshop and the provision of practical tools encourage family physicians to prescribe physical activity as medicine? A pre–post study
Bibliographic record
Abstract
OBJECTIVES: To increase, in our sample, the proportion of family physicians who provided their patients with written physical activity prescriptions after the delivery of a 3-hour educational workshop with the provision of practical tools to facilitate behaviour change. DESIGN: A pre-post study. SETTING: Abbotsford and Mission, British Columbia. PARTICIPANTS: All 158 physicians registered with the Abbotsford (121) or Mission (37) Divisions of Family Practice were invited to participate. INTERVENTION: A 3-hour educational workshop combined with practical tools. Educational content of the workshop included (1) assessing patients' physical activity levels, (2) using motivational interviewing techniques to encourage physical activity and (3) providing written physical activity prescriptions when appropriate. Practical tools to facilitate physician behaviour changes included a 'physical activity vital sign', and copies of the Exercise is Medicine Canada Prescription Pad. Participating physicians completed a bespoke questionnaire before and 4 weeks after their attendance at the workshop. OUTCOME MEASURES: The primary outcome was the change in the proportion of family physicians who reported providing written physical activity prescriptions. Exploratory outcomes included changes in other physical activity prescription behaviours, the perceived importance of various barriers to prescription, and knowledge and confidence in regards to physical activity prescription. McNemar's test evaluated changes in proportions before and after the workshop, while Wilcoxon signed-rank tests evaluated changes in Likert data. RESULTS: 25 family physicians completed the baseline questionnaire and attended the workshop, with 100% follow-up response rate. The proportion of family physicians who reported providing written physical activity prescriptions in their clinical practice increased significantly (p<0.05), from 10 (40%) at baseline to 17 (68%) 4 weeks after the intervention. CONCLUSIONS: Educational workshops combined with practical tools appear to be a promising method to encourage the use of written physical activity prescriptions among family physicians in this setting, over the short term.
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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 | 0.009 | 0.021 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".