Bibliographic record
Abstract
PURPOSE: Individuals with mental illness are at nutritional risk because of health, social, and economic factors. To address this problem, the Canadian Collaborative Mental Health Initiative (CCMHI) and Dietitians of Canada (DC) commissioned the development of a toolkit that outlines the role of the registered dietitian (RD) and advocates for RDs in primary health care (PHC) mental health programs. METHODS: The development of the toolkit followed a four-stage process: a comprehensive literature review, a focus group discussion with a national working group, interviews with consumers about RD services, and evaluation of the toolkit. RESULTS: The costs of mental illness in Canada are at least US dollars 6.85 billion per year. Currently, little evidence exists on how RD services can reduce these expenses. The focus group identified accessibility as the predominant issue facing individuals with mental illness. To explain consumer experiences with RD services, a three-tier theory based on in-depth interviews was developed. Consumer experiences with RDs occur in five categories: financial concerns, perception of service, status of mental illness, engagement, and self-esteem (tier 1). These are further influenced by five individual and contextual factors, e.g., social environment, the mental illness (tier 2), which are weighed as benefits and barriers instrumental in determining actions (tier 3). CONCLUSIONS: The evaluation of the final draft of the RD toolkit confirmed that it reflected the visions of PHC. The toolkit is intended to act as a blueprint for action. Dietitians are encouraged to use its contents to advocate for positions in mental health PHC settings.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 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 | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".