P470 Improving IBD-related pregnancy knowledge with a specialised preconception and pregnancy in IBD clinic
Bibliographic record
Abstract
Inflammatory bowel disease affects women during their reproductive ages. IBD-related pregnancy knowledge has been reported to be low among women with IBD. We developed a specialised consultation clinic to educate and optimise the management of IBD. We aimed to assess IBD-related pregnancy knowledge among the patients referred to the clinic, and whether this clinic improves IBD-related pregnancy knowledge. Adult women with IBD who were seen in the Preconception and Pregnancy in IBD clinic, University of Alberta, were invited to participate. Demographics, reproductive history, IBD history, CCPKnow (Crohn’s Colitis Pregnancy Knowledge) survey were obtained. The clinic offers protocolled education, clinical and objective disease monitoring throughout pregnancy and postpartum. Upon completion of follow-up (postpartum 3–12 months), CCPKnow was reassessed. Pre- and post-CCPKnow scores were compared using Student’s t test for raw scores and chi-square test for rank. A total of 99 (47 CD, 52 UC) mothers completed baseline surveys, CCPKnow 10 (IQR: 8–13); 22.2% poor, 36.4% adequate, 21.2% good, 20.2% very good. Of these, 37 (13 CD and 24 UC) completed postpartum CCPKnow surveys: 13.5% poor, 35.1% adequate, 16.2% good, 35.1% very good. Analysis showed that 21.6% had no change in score, 62.2% improved by at least 1 point, 62.2% remained in the same level, 29.7% improved their level. Of the seven patients with poor baseline knowledge, all seven improved CCPKnow score, three (42.9%) improved at least 1 level. Of the 14 patients with adequate baseline knowledge, eight (57.1%) improved CCPKnow score, four (28.6%) improved at least one level. A specialised consultation clinic improves IBD-related pregnancy knowledge among women with IBD. Further investigation into whether this protocolled clinic improves maternal and foetal clinical outcomes is currently in progress.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 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".