Interventions to enhance adherence to dietary advice for preventing and managing chronic diseases in adults: a study protocol
Bibliographic record
Abstract
BACKGROUND: Adoption of a healthy diet has been identified as the cornerstone in the prevention and management of chronic diseases. However, non-adherence to lifestyle changes raises an important issue since adherence level to dietary advice is a key determinant of the effectiveness of dietary treatment. Therefore, based on the results of a Cochrane systematic review on interventions for enhancing adherence to dietary advice for preventing and managing chronic diseases in adults, the aim of this study is to assess the importance and applicability of interventions enhancing adherence to dietary advice in the Canadian context. METHODS/DESIGN: In phase 1, dietitians' opinion will be assessed through a Delphi study regarding the importance and the applicability in the Canadian context of the interventions found the most effective to enhance adherence to dietary advice through a Cochrane systematic review. In phase 2, findings of the Cochrane systematic review assessing the effects of interventions for enhancing adherence to dietary advice will be reported in a practical format on an online knowledge translation tool for dietitians and other health professionals. DISCUSSION: In recent years, there has been an increasing recognition of the failure to translate research findings into clinical practice. Therefore, knowledge translation efforts need to prioritize effective interventions that will be the most relevant for practice and end-users by adapting them to the local context. Our study will provide decision makers in the field of dietetic practice with essential knowledge on adherence for elaborating educational activities for academic or professional settings that will respond to dietitians' priorities in terms of importance and applicability to day-to-day practice.
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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 | 0.039 | 0.030 |
| Meta-epidemiology (narrow) | 0.004 | 0.004 |
| Meta-epidemiology (broad) | 0.008 | 0.007 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.008 | 0.008 |
| Insufficient payload (model declined to judge) | 0.088 | 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".