A Personalized eHealth Transition Concept for Adolescents With Inflammatory Bowel Disease: Design of Intervention
Bibliographic record
Abstract
BACKGROUND: Transfer from pediatric to adult care is a crucial period for adolescents with inflammatory bowel disease (IBD). OBJECTIVE: Our aim was to develop a personalized transition-transfer concept including relevant tools in an established eHealth (electronic health) program. METHODS: Required transition skills and validated patient-reported outcome measures (PROMs) were identified via bibliographic search and clinical experience and were implemented into an existing eHealth program. RESULTS: The following skills were identified: disease knowledge, social life, disease management, and making well-informed, health-related decisions. The PROMs included the following: self-efficacy (the IBD Self-Efficacy Scale-Adolescents), resilience (the 10-item Connor-Davidson Resilience Scale), response to stress (the Child Self-Report Responses to Stress-IBD), and self-management and health care transition skills (the Self-Management and Transition to Adulthood with Treatment questionnaire). Starting at age 14, the patient will be offered a 1-hour annual transition consultation with an IBD-specialized nurse. The consultation will be based on the results of the PROMs and will focus on the patient's difficulties. Patients will complete the PROMs on the eHealth program at home, allowing nurses and patients to prepare for the meeting. Symptom scores and medication will be filled out on the eHealth program to support disease self-management. The consultation will be a topic-centered dialogue with practical exercises. During routine outpatient visits with the provider, parents will be left out of half of the consultation when the patient is 16 years old; at 17 years old, the parents will not be present. At the transfer consultation, the pediatric provider, the adult gastroenterologist, the pediatric nurse, the patient, and the parents will be present to ensure a proper transfer. CONCLUSIONS: We have conducted a personalized eHealth transition concept consisting of basic elements that measure, train, and monitor the patients' transition readiness. The concept can be implemented and adjusted to local conditions.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".