Health Care Utilization of Children Born to Women With and Without Inflammatory Bowel Disease in the First 5 Years of Life: A Population-Cohort Study
Bibliographic record
Abstract
INTRODUCTION: Children born to women with inflammatory bowel disease (IBD) may have increased health care utilization in early life due to genetic susceptibilities and exposure to inflammation in utero, although this has not been robustly evaluated. We aimed to characterize health care use between these groups. METHODS: We accessed province-wide health administrative databases to identify children born to women with and without IBD between 2002 and 2019. Differences in hospitalizations, emergency department visits, ambulatory visits, and endoscopy visits in the first 5 years of life were characterized. We further assessed differences in mental health-related health care utilization between groups. Multivariable negative binomial regression was performed to calculate adjusted incidence rate ratios (IRRs) with 95% confidence intervals (CIs). RESULTS: We included 17,447 and 1,832,334 children born to women with and without IBD, respectively. Compared with those born to women without IBD, children born to women with IBD appeared to have an increased rate of all-cause hospitalizations (IRR 1.06, 95% CI 1.03-1.10), all-cause emergency department visits (IRR 1.08, 95% CI 1.05-1.10), ambulatory visits (IRR 1.06, 95% CI 1.05-1.07), and endoscopic visits (IRR 2.14, 95% CI 1.70-2.69). Children born to women with IBD also seemed to have increased mental health-related ambulatory visits (IRR 1.93, 95% CI 1.01-3.76), with the most common reasons coded for these visits being neurodevelopmental/behavioral and developmental delay concerns. DISCUSSION: Children born to women with IBD may have increased health care utilization compared with those born to women without IBD.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".