Development and Feasibility Study of a Telemedicine Tool for All Patients with IBD
Bibliographic record
Abstract
BACKGROUND: Tight control of disease activity, medication side effects, and adherence are crucial to prevent disease complications and improve quality of life in patients with inflammatory bowel disease (IBD). The chronic nature and increasing incidence of IBD demand health care innovations to guarantee future high-quality care. Previous research proved that integrated care by telemedicine can improve outcomes of chronic diseases. Currently available IBD telemedicine tools focus on specific patient subgroups. Therefore, we aimed to (1) develop a telemedicine system suitable for all patients with IBD in everyday practice and (2) to test this system's feasibility. METHODS: With a structured iterative process between patients, dietitians, IBD nurse-specialists, and gastroenterologists, myIBDcoach was developed. During 3 months, myIBDcoach's feasibility was tested by 30 consecutive outpatients with IBD of 3 hospitals. Thereafter, patients and health care providers completed a questionnaire covering satisfaction, accessibility, and experiences with myIBDcoach. RESULTS: MyIBDcoach enables continuous home-monitoring of patients with IBD and optimizes disease knowledge and communication between patients and health care providers. Besides disease activity, medication adherence, and side effects, myIBDcoach monitors malnutrition, smoking, quality of life, fatigue, life-events, work participation, stress, and anxiety and depression and provides e-learnings for patient empowerment. Patients graded the system with a mean of 7.8 of 10, and 93% would recommend myIBDcoach to other patients. CONCLUSIONS: We developed myIBDcoach, which enables integrated care for all patients with IBD, regardless of disease severity or medication use. The feasibility study showed high satisfaction and compliance of patients and health care providers. To study myIBDcoach's efficacy, a multicenter randomized controlled trial has been initiated.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".