A76 MEDICATION ADHERENCE AND BELIEFS ABOUT MEDICATION AND THE CORRELATION WITH KNOWLEDGE ABOUT INFLAMMATORY BOWEL DISEASE (IBD) IN PREGNANCY
Bibliographic record
Abstract
Abstract Background Inflammatory bowel disease (IBD) is a group of chronic inflammatory conditions including ulcerative colitis (UC), Crohn’s disease (CD) or IBD-unclassified that affect women of childbearing age. women with IBD have poor knowledge of disease management during pregnancy, as demonstrated by studies using the validated Crohn’s and Colitis Pregnancy Knowledge (CCPKnow) tool. These patients who lack knowledge about IBD and reproduction tend to have misguided fears and make uninformed decisions such as voluntary childlessness (VC) or poor medication adherence. Aims We aim to understand the correlation between improved knowledge about IBD and Medication Adherence Report Scale (MARS) and Beliefs about Medication Questionnaire (BMQ) Methods Adult women with IBD attending the pregnancy IBD clinic at the University of Alberta from 2014–2018 were enrolled. Each patient completed the Crohn’s and Colitis Pregnancy Knowledge (CCPKnow) questionnaire at baseline and after individualized education delivered at each clinic visit. BMQ and MARS Questionaries were completed using a 0–5 Likert scale at each visit. BMQ and MARS data were analysed using Wilcoxon signed ranks test by comparing pre-conception, intrapartum data (trimester) and post-partum scores. BMQ questions were classified under the BMQ Concerns category and BMQ necessity category for regression analysis. Results A total of 117 patients were enrolled in this study. 55 patients with CD (47.1%) and 62 patients with UC (52.9%). Statistically, a significant change was noted when comparing the median Trimester BMQ scores to pre-conception BMQ scores. (Z of -2.667, p=0.008) and Median post-partum BMQ scores to Median pre-conception BMQ scores. (Z of -2.547, p=.011). Trimester BMQ Concerns data had a strong negative correlation with CPPKnow scores (Correlation Co-efficient -.528, p<0.05). Median Trimester MARS data had a strong positive correlation with CPPKnow scores (Correlation Co-efficient 0.644, p<0.05). Conclusions Increased CPPKnow scores in patients were correlated with patients that were less concerned about IBD medication use and were noted to have higher medication adherence as reflected in the MARS scores post-intervention. A dedicated pregnancy clinic aimed at improving IBD and pregnancy knowledge in women would encourage greater adherence to IBD medication. Funding Agencies None
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".