A100 ADULT GASTROENTEROLOGIST PERSPECTIVES ON AN EDUCATIONAL PLATFORM TO SUPPORT YOUNG ADULTS WITH INFLAMMATORY BOWEL DISEASE
Bibliographic record
Abstract
Abstract Background Adolescents and young adults (AYAs) with inflammatory bowel disease (IBD) encounter challenges during the transition from pediatric to adult healthcare, where they must manage their care with increasing independence. The Transition Adolescent & Young Adults implementioN (IBD-TrAYN) is a randomized clinical trial (NCT05221281) of a program to address care gaps during this critical period. As part of the intervention arm, we developed an online educational platform with 19 modules to enhance disease knowledge and self-management skills among AYAs. Aims This quality improvement project aims to understand the perspectives of adult gastroenterologists (GIs) on the relevance of the module content for AYAs with IBD. Methods Adult GIs with experience treating AYAs (18-25y) with IBD in Canada were recruited using purposive and snowball sampling techniques. Three virtual focus groups were conducted to explore perceptions of module applicability and potential gaps in the curriculum. Content analysis was performed on the transcripts for emergent themes by two independent reviewers. Results Eleven GIs were recruited, who recognized the educational platform as a valuable tool for addressing critical gaps in care due to limited clinic time, allied health support, and varying patient knowledge and transition readiness levels. Modules identified as high-priority included disease self-management, mental health, and sexual health. Concerns about information overload led to suggestions for combining related topics, such as family planning and sexual health, and integrating features like searchability and interactive elements to make the content more engaging and personalized. Participants recommended the development of education modules to support parallel caregiver role transitions. Participants stressed the importance of a flexible, accessible approach that allows AYAs access to relevant information at their own pace. Conclusions Adult GIs endorsed the value of the platform and its relevance in addressing their clinical priorities and the needs of their AYA patients. The perspectives gathered will inform content refinement to prevent information overload and enhance the curriculum, ultimately contributing to enhanced knowledge and transition readiness for AYAs with IBD. Funding Agencies CCC
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".