Recent Immigrants With Inflammatory Bowel Disease Have Significant Healthcare Utilization From Preconception to Postpartum: A Population Cohort Study
Bibliographic record
Abstract
INTRODUCTION: Immigrants with inflammatory bowel disease (IBD) may have increased healthcare utilization during pregnancy compared with non-immigrants, although this remains to be confirmed. We aimed to characterize this between these groups. METHODS: We accessed administrative databases to identify women (aged 18-55 years) with IBD with a singleton pregnancy between 2003 and 2018. Immigration status was defined as recent (<5 years of the date of conception), remote (≥5 years since the date of conception), and none. Differences in ambulatory, emergency department, hospitalization, endoscopic, and prenatal visits during 12 months preconception, pregnancy, and 12 months postpartum were characterized. Region of immigration origin was ascertained. Multivariable negative binomial regression was performed for adjusted incidence rate ratios (aIRRs) with 95% confidence intervals (CIs). RESULTS: A total of 8,880 pregnancies were included, 8,304 in non-immigrants, 96 in recent immigrants, 480 in remote immigrants. Compared with non-immigrants, recent immigrants had the highest rates of IBD-specific ambulatory visits during preconception (aIRR 3.06, 95% CI 1.93-4.85), pregnancy (aIRR 2.15, 95% CI 1.35-3.42), and postpartum (aIRR 2.21, 1.37-3.57) and the highest rates of endoscopy visits during preconception (aIRR 2.69, 95% CI 1.64-4.41) and postpartum (aIRR 2.01, 95% CI 1.09-3.70). There were no differences in emergency department and hospitalization visits between groups, although those arriving from the Americas were the most likely to be hospitalized for any reason. All immigrants with IBD were less likely to have a first trimester prenatal visit. DISCUSSION: Recent immigrants were more likely to have IBD-specific ambulatory care but less likely to receive adequate prenatal care during pregnancy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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".