The CHANGE program: Exercise intervention in primary care.
Bibliographic record
Abstract
PROBLEM ADDRESSED: Primary care settings require a feasible program for integrating lifestyle interventions, which can reverse metabolic abnormalities, for patients in practice. OBJECTIVE OF PROGRAM: To integrate a lifestyle intervention program into existing primary care clinics with an interprofessional approach that includes dietitians and kinesiologists. PROGRAM DESCRIPTION: Canadian Health Advanced by Nutrition and Graded Exercise (CHANGE) provides a personalized approach to nutrition and exercise modification focusing on patients with metabolic syndrome. With CHANGE, exercise intervention is individualized (ie, tailored to individual preferences) and graded (ie, intensity is built up slowly over time); supervision and implementation of the program is conducted in a collaborative fashion between the family physician and the kinesiologist. Patients undergo an initial fitness assessment that determines their baseline aerobic, strength, and flexibility scores, and the same assessment is performed at 3 months and at 12 months. CONCLUSION: The CHANGE program demonstrates how interprofessional primary care teams can support patients with metabolic syndrome in achieving their health goals. By including dietitians and kinesiologists in primary care settings to work alongside family doctors, many barriers to lifestyle interventions can be overcome. The team's collaborative understanding of the patient combined with the patient's own sense of urgency for change creates the opportunity for the formation of new healthy lifestyle habits. Although results are preliminary, CHANGE appears to be a feasible, implementable, and effective program.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 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".