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S1638 Disparities in Prenatal Care and Specialist Involvement Among Pregnant Individuals With Inflammatory Bowel Disease in Rural Versus Urban Settings

2025· article· en· W4417166061 on OpenAlexaboutno aff
Vithyaa Premjeyanth, Parul Tandon, Vivian Huang, Denice S. Feig, Refik Saskin, Cynthia Maxwell, Deshayne B. Fell, Cynthia H. Seow, John W. Snelgrove, Geoffrey C. Nguyen

Bibliographic record

VenueThe American Journal of Gastroenterology · 2025
Typearticle
Languageen
FieldMedicine
TopicPregnancy and Medication Impact
Canadian institutionsnot available
Fundersnot available
KeywordsPregnancyPrenatal careInflammatory bowel diseaseIncidence (geometry)Rural areaRetrospective cohort studyConfidence intervalCohort study

Abstract

fetched live from OpenAlex

Introduction: Disparities in healthcare utilization between rural and urban populations are well-documented. However, limited data exist on whether these disparities are heightened among pregnant individuals with inflammatory bowel disease (IBD). The aim of this study was to compare prenatal care adequacy, ultrasound utilization, and gastroenterologist involvement among rural and urban individuals with IBD from preconception through postpartum. Methods: We conducted a population-based retrospective cohort study of individuals aged 18–50 with a confirmed diagnosis of IBD and a singleton pregnancy between April 1, 2003, and April 1, 2018, in Ontario, Canada. The primary outcome of healthcare utilization from preconception to postpartum has been reported elsewhere. This analysis focuses on secondary outcomes, including prenatal care adequacy—measured by the Revised-Graduated Prenatal Care Utilization Index (R-GINDEX)—as well as ultrasound utilization and gastroenterologist involvement, comparing rural and urban pregnant individuals with IBD. Multivariable negative-binomial regression was used to report adjusted incidence rate ratios (aIRR) with 95% confidence intervals (95% CI). Results: 8880 pregnancies were included (11.4% rural, 88.6% urban). There was no significant difference in receipt of adequate prenatal care (33.5% rural vs 35.1% urban; P = 0.30), although rural patients experienced a longer time to first prenatal visit (79 vs 76 days; P < 0.001). Rural residents also had significantly lower rates of prenatal ultrasounds (aIRR 0.88, 95% CI 0.84–0.92; P < 0.001) and were less likely to have at least one gastroenterology visit during preconception (53.5% vs 60.8%; P < 0.001), pregnancy (48.2% vs 53.8%; P = 0.002), and postpartum (51.6% vs 56.8%; P = 0.001) periods. Rural individuals also had fewer total gastroenterology visits across all periods, including preconception (aIRR 0.89; 95% CI, 0.81–0.97), pregnancy (aIRR 0.89; 95% CI, 0.80–0.99), and postpartum (aIRR 0.89; 95% CI, 0.82–0.98). Conclusion: This study demonstrates that pregnant individuals with IBD in rural areas experience delayed initiation of prenatal care, lower prenatal ultrasound utilization, and reduced gastroenterologist involvement throughout the perinatal period, highlighting the need for targeted interventions to ensure equitable 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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.197
Threshold uncertainty score0.392

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.005
GPT teacher head0.244
Teacher spread0.239 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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