Transition Services for Paediatric Inflammatory Bowel Disease
Bibliographic record
Abstract
OBJECTIVES: Patients with paediatric inflammatory bowel disease (IBD) constitute one of the largest cohorts requiring transition from paediatric to adult services. Standardised transition care improves short and long-term patient outcomes. This study aimed to detail the current state of transition services for IBD in the United Kingdom (UK). METHODS: We performed a nationwide study to ascertain current practice, facilities and resources for children and young people with IBD. Specialist paediatric IBD centres were invited to contribute data on: timing of transition/transfer of care; transition resources available including clinics, staff and patient information; planning for future improvement. RESULTS: Twenty of 21 (95%) of invited centres responded. Over 90% of centres began the transition process below 16 years of age and all had completed transfer to adult care at 18 years of age. The proportion of patients in the transition process at individual centres varied from 10% to 50%.Joint clinics were held in every centre, with a mean of 12.9 clinics per year. Adult and paediatric gastroenterologists attended at all sites. Availability of additional team members was patchy across the UK, with dietetic, psychological and surgical attendance available in <50% centres. A structured transition tool was used in 75% of centres. Sexual health, contraception and pregnancy were discussed by <60% of teams. CONCLUSIONS: This study provides real-world clinical data on UK-wide transition services. These data can be used to develop a national strategy to complement current transition guidelines, focused on standardising services whilst allowing for local implementation.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.001 |
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".