Innovative Online Educational Portal Improves Disease-Specific Reproductive Knowledge Among Patients With Inflammatory Bowel Disease
Bibliographic record
Abstract
Background: Inflammatory bowel disease (IBD) is often diagnosed in early adulthood, affecting patients through their reproductive years. Many patients, lacking knowledge about IBD and reproduction, make uninformed decisions. Although patients have turned to the Internet for information, it remains unclear if online resources are effective for improving and retaining IBD-specific reproductive knowledge. We aimed to elucidate if a multimedia vs text-only online educational intervention could improve IBD-specific reproductive knowledge for more than 6 months. Methods: We developed a website covering genetics, fertility, surgery, pregnancy, medications, delivery, and postpartum in the context of IBD. Adult IBD patients were randomized into study groups (multimedia or text-only) and provided 60-day access. Participants completed pre-, post-, and 6+ month-postintervention pregnancy knowledge (CCPKnow) questionnaires. Results were compared using nonparametric tests. Results: Of 111 registered participants, 78 (70.3%) completed pre- and postintervention questionnaires, and 37 (47.4%) subsequently completed the 6+ month questionnaire. Demographics were as follows: median age (interquartile range [IQR]) 29.3 (25.6-32.9) years, Crohn's disease n = 54 (69.2%), females n = 63 (80.3%), of which n = 5 (7.9%) were pregnant and n = 19 (30.2%) had previously been pregnant. The median CCPKnow scores (/17) (IQR) were 8.0 (3.0-10.0) pre-intervention, 16.0 (13.00-17.00) postintervention, and 14.0 (12.0-15.0) 6+ months postintervention. The median within-subject increase in score was 6.5 pre- to postintervention, and 4.0 pre- to 6+ months postintervention (both P < 0.001). The median increase in score (pre- to post-) was 8.0 for the multimedia group and 6.0 for the text-only group (P = 0.216). Conclusions: An evidence-based, online educational portal can significantly improve and maintain IBD-specific reproductive patient knowledge for more than 6 months.
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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 | 0.003 |
| 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) | 0.011 | 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".