TransitionED: A protocol for Co‐designing and implementing Canadian practice guidelines for transitions for youth with eating disorders
Bibliographic record
Abstract
OBJECTIVE: Limited guidelines inform the transition from paediatric to adult healthcare for youth and young adults (YYA) with eating disorders (EDs). This study will develop, implement, and evaluate Canadian Clinical Practice Guidelines for ED transition, including identifying the relevant measurement and evaluation tools for transition readiness and continuity of care. METHODS: This study consists of three phases. Phase 1 involves conducting a scoping review of the evidence on transition interventions, outcomes, and measurement tools for YYA with EDs, along with guideline development using the modified Delphi method. Phase 2 identifies the contextual/cultural factors relevant to guideline implementation and co-designing an implementation protocol with governance committees and research partners. Phase 3 involves the application and evaluation of the proposed guide lines using the implementation protocol, and assessing the acceptability and feasibility of a prototype transition intervention in two Canadian paediatric ED programs. CONCLUSIONS: Results will provide the knowledge needed to enhance the lives of YYA, improve the effectiveness of the ED care system, and support the scale of the transition guidelines across Canada. These guidelines will have international relevance by potentially informing the field on how to support young people with EDs transitioning in similar funding structures and systems of care.
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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 | 0.118 | 0.113 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.008 | 0.007 |
| Science and technology studies | 0.012 | 0.004 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.005 | 0.006 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.037 | 0.008 |
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".