National implementation of guided self-help family-based treatment for youth with eating disorders: a study protocol
Bibliographic record
Abstract
BACKGROUND: Guided self-help family-based treatment (GSH-FBT) is emerging as a promising, more efficient alternative to traditional family-based treatment (FBT). The present study is designed to examine the real-world implementation of GSH-FBT at pediatric treatment sites across nine provinces in Canada. METHODS: Implementation teams at each site consisting of a GSH-FBT coach, a medical provider, and a program administrator will be formed. Clinician coaches will be trained in this new modality and supported with weekly GSH-FBT consultation. Each site will recruit ten families with an adolescent with anorexia nervosa and the parents will undergo ten virtual GSH-FBT sessions. The implementation approach will be evaluated using qualitative and quantitative methods. Outcomes of interest include (1) treatment fidelity, (2) treatment wait times, (3) change in adolescent symptoms and parent/caregiver self-efficacy, (4) change in provider readiness, attitudes, and confidence towards the intervention, and (5) the overall experience of the implementation of the intervention from the perspective of the provider teams, and participant families. DISCUSSION: The findings of this study will help to identify factors important to the acceptability and implementation of GSH-FBT in real-world clinical settings. TRIAL REGISTRATION: This study was first registered with clinicaltrials.gov (registration # NCT06851273) on February 12, 2025 (url: https://clinicaltrials.gov/study/NCT06851273?id=NCT06851273&rank=1 ).
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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 | 0.017 |
| Meta-epidemiology (narrow) | 0.002 | 0.003 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.040 | 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".