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Maternal Disability and Emergency Department Use for Infants

2025· article· en· W4410079621 on OpenAlexafffundabout
Hilary K. Brown, Yona Lunsky, Kinwah Fung, María Santiago‐Jiménez, Andi Camden, Eyal Cohen, Joel G. Ray, Natasha Saunders, Deanna Telner, Catherine Varner, Simone N. Vigod, Jennifer Zwicker, Astrid Guttmann

Bibliographic record

VenueJAMA Network Open · 2025
Typearticle
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsMount Sinai HospitalSt. Michael's HospitalCentre for Addiction and Mental HealthUniversity of CalgaryInstitute for Clinical Evaluative SciencesHospital for Sick ChildrenThe Scarborough HospitalPublic Health OntarioSchwartz/Reisman Emergency Medicine InstituteWomen's College HospitalUniversity of Toronto
FundersCanadian Institutes of Health ResearchCanada Research ChairsInstitute for Clinical Evaluative Sciences
KeywordsMedicineEmergency departmentHazard ratioPopulationCohortProportional hazards modelCohort studyIntellectual disabilityPediatricsPsychiatryEnvironmental health

Abstract

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Importance: Infants have among the highest rates of emergency department (ED) visits of all age groups. Women with disabilities experience significant social disparities, may experience barriers accessing child primary care, and may seek care in the ED. Objective: To compare ED use among newborns and infants (hereafter infants) of women with or without disabilities, overall and by timing and acuity of the ED visit. Design, Setting, and Participants: This population-based cohort study analyzed data for all live-born infants in Ontario, Canada, born to women with or without a disability from April 1, 2008, to March 31, 2021. Data were analyzed March 2023 to October 2024. Exposure: Maternal physical, sensory, or intellectual or developmental disability or multiple disabilities status was ascertained using diagnostic algorithms applied to health care encounters before delivery. Main Outcomes and Measures: The main outcome was any ED visit between an infant's hospitalization discharge date and their first birthday, and by timing and acuity. Cox proportional hazards regression was used to generate hazard ratios (HRs) for the association between maternal disability and the main outcome, adjusted for sociodemographic characteristics and infant sex and year of birth. Results: Of 1 596 932 total infants, there were 139 698 (8.7%) born to women with a physical disability, 48 112 (3.0%) to women with a sensory disability, 2547 (0.2%) to women with an intellectual or developmental disability, and 10 312 (0.6%) to women with multiple disabilities. The remaining 1 396 263 infants (87.4%) were born to a woman without a recognized disability. Among women without a disability, 558 965 infants (40.0%) had an ED visit in the first year of life (incidence rate, 1.11 per 1000 person-days). Compared with this referent group, infants born to a woman with a disability of a physical (46.9%; 1.30 visits per 1000 person-days; adjusted HR [AHR], 1.14 [95% CI, 1.13-1.15]), sensory (45.2%; 1.25 visits per 1000 person-days; AHR, 1.09 [95% CI, 1.07-1.10]), or intellectual or developmental (55.4%; 1.55 visits per 1000 person-days; AHR, 1.24 [95% CI, 1.17-1.30]) nature or with multiple disabilities (51.0%; 1.42 visits per 1000 person-days; AHR, 1.18 [95% CI, 1.15-1.22]) were more likely to have an ED visit. Similar patterns were observed for ED visits at fewer than 28 days from delivery, from 28 to 365 days, and for ED visits for high-acuity, moderate-acuity, and low-acuity reasons. Conclusions and Relevance: In this population-based cohort study, infants of women with disabilities were more likely to use the ED, indicating a need for accessible family supports and improved early child primary care access.

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)0.002
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 score0.257
Threshold uncertainty score0.512

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
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)0.0040.000

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 head0.026
GPT teacher head0.322
Teacher spread0.297 · 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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Citations1
Published2025
Admission routes3
Has abstractyes

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