Assessment of knowledge in adolescents with inflammatory bowel disease using a novel transition tool
Bibliographic record
Abstract
BACKGROUND: In the transition from pediatric to adult care, patients are expected to increase their level of self-care. Knowledge of disease characteristics, medications, and resources is crucial. This study evaluated the knowledge of adolescents with inflammatory bowel disease (IBD) and their parents in four major domains: disease characteristics, treatments, medical history, and health services resources. METHODS: Patients age 14-18 years and their parents completed MyHealth Passport for IBD as a cross-sectional assessment of knowledge. Responses were evaluated for accuracy using medical records. The proportion of correct responses between patients/parents were compared. RESULTS: In all, 78 patients (age 16.2 ± 1.2 years, IBD duration 3.6 ± 2.5 years), and 64 parents participated. Patients and parents were equally likely to answer questions correctly regarding disease characteristics and treatment, but not health services resources. Most patients accurately identified IBD classification and listed medications. Neither patients nor parents accurately identified disease location or previous investigation results. Parents more likely correctly named insurance provider (odds ratio [OR] 6.33, 95% confidence intervals [CI] 2.68-15.0), and pharmacy location (OR 18.5, 95% CI 4.6-76.8). Multivariate regression revealed that patients with IBD type unclassified were more likely to be aware of their diagnostic classification (OR 17.2, 95% CI 2.81-105.4 compared with Crohn's disease patients). Older patients were less likely to recall if they had a small bowel x-ray (OR 0.59, 95% CI 0.35-0.996). CONCLUSIONS: Future educational interventions should target areas of weakness in adolescent knowledge, particularly health services resources. The MyHealth Passport for IBD (available freely online) could educate and instill independence in the transitioning adolescent.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".