Weight management in Canada: an environmental scan of health services for adults with obesity
Bibliographic record
Abstract
BACKGROUND: Obesity in Canada is a growing concern, but little is known about the available services for managing obesity in adults. Our objectives were to (a) survey and describe programs dedicated to weight management and (b) evaluate program adherence to established recommendations for care. METHODS: We conducted an online environmental scan in 2011 to identify adult weight management services throughout Canada. We examined the degree to which programs adhered to the 2006 Canadian Clinical Practice Guidelines on the Management and Prevention of Obesity in Adults and Children (CCPGO) and the analysis criteria developed by the Association pour la Santé Publique du Québec (ASPQ). RESULTS: A total of 83 non-surgical (34 community-based, 42 primary care-based, 7 hospital-based) and 33 surgical programs were identified. All programs encouraged patient self-management. However, few non-surgical programs adhered to the CCPGO recommendations for assessment and intervention, and there was a general lack of screening for eating disorders, depression and other psychiatric diseases across all programs. Concordance with the ASPQ criteria was best among primary care-based programs, but less common in other settings with deficits most frequently revealed in multidisciplinary health assessment/management and physical activity counselling. CONCLUSIONS: With more than 60% of Canadians overweight or obese, our findings highlight that availability of weight management services is far outstripped by need. Our observation that evidence-based recommendations are applied inconsistently across the country validates the need for knowledge translation of effective health services for managing obesity in adults.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.009 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".