Evidence map›Paper›PMID 41001215›Full record

ArticleO&G open2024

Severe Maternal Morbidity by Disability Status and Type in the United States.

Ilhom Akobirshoev, Michael Vetter, Willi Horner-Johnson, Nicole Lomerson, Tiffany A Moore Simas, Monika Mitra

Abstract read
In one paragraph

Article in O&G open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Intersectional Disparities in Severe Maternal Morbidity Across the Perinatal Continuum: A Population-Based Analysis.Journal of obstetrics and gynaecology Canada : JOGC = Journal d'obstetrique et gynecologie du Canada : JOGC · 2026
    Article
  4. Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ilhom AkobirshoevLurie Institute for Disability Policy, Brandeis University, Waltham, and Psychiatry and Population & Quantitative Health Sciences, UMass Chan Medical School/UMass Memorial Health, Worcester, Massachusetts; and the Institute on Development and Disability, Oregon Health & Science University, Portland, Oregon.
Michael VetterLurie Institute for Disability Policy, Brandeis University, Waltham, and Psychiatry and Population & Quantitative Health Sciences, UMass Chan Medical School/UMass Memorial Health, Worcester, Massachusetts; and the Institute on Development and Disability, Oregon Health & Science University, Portland, Oregon.
Willi Horner-JohnsonLurie Institute for Disability Policy, Brandeis University, Waltham, and Psychiatry and Population & Quantitative Health Sciences, UMass Chan Medical School/UMass Memorial Health, Worcester, Massachusetts; and the Institute on Development and Disability, Oregon Health & Science University, Portland, Oregon.
Nicole LomersonLurie Institute for Disability Policy, Brandeis University, Waltham, and Psychiatry and Population & Quantitative Health Sciences, UMass Chan Medical School/UMass Memorial Health, Worcester, Massachusetts; and the Institute on Development and Disability, Oregon Health & Science University, Portland, Oregon.
Tiffany A Moore SimasLurie Institute for Disability Policy, Brandeis University, Waltham, and Psychiatry and Population & Quantitative Health Sciences, UMass Chan Medical School/UMass Memorial Health, Worcester, Massachusetts; and the Institute on Development and Disability, Oregon Health & Science University, Portland, Oregon.
Monika MitraLurie Institute for Disability Policy, Brandeis University, Waltham, and Psychiatry and Population & Quantitative Health Sciences, UMass Chan Medical School/UMass Memorial Health, Worcester, Massachusetts; and the Institute on Development and Disability, Oregon Health & Science University, Portland, Oregon.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo estimate the risk of severe maternal morbidity (SMM) among women with disabilities compared with those without disabilities in a nationally representative sample of U.S. delivery hospitalizations.

methodsWe conducted a retrospective cohort analysis using the 2016-2021 Healthcare Cost and Utilization Project's Nationwide Inpatient Sample. We identified delivery hospitalizations and disability status using International Classification of Diseases, Tenth Revision diagnosis codes. The primary outcome was SMM, which was determined using 21 indicators specified by the Centers for Disease Control and Prevention. We used Poisson regression to estimate unadjusted and adjusted relative risks (aRRs) and 95% CIs for the association between disability status and type with SMM outcomes.

resultsAmong 4,331,457 delivery hospitalizations, 128,413 (3.0%) were to women with disabilities. Women with disabilities had significantly higher rates of SMM compared with those without disabilities (396/10,000 deliveries vs 177/10,000 deliveries). In fully adjusted models, women with disabilities had an aRR of 1.86 (95% CI, 1.80-1.91) for one or more SMM indicators. The risk of SMM varied by disability type, with the highest risks observed for women who had vision disabilities (aRR 3.02, 95% CI, 2.70-3.38) or had physical disabilities (aRR 2.44, 95% CI, 2.34-2.55). Women with disabilities had the highest risk for other medical complications (puerperal cerebrovascular disorders and sickle cell disease with crisis), followed by other obstetric complications, respiratory complications, cardiovascular complications, acute renal failure, sepsis, and bleeding complications compared with women without disabilities.

conclusionWomen with disabilities have a significantly higher risk of SMM during delivery compared with those without disabilities, with the magnitude of risk varying by disability type. Efforts to reduce SMM and maternal mortality in the United States must prioritize the unique needs of this population and ensure equitable, disability-competent care for all women.

Identifiers

PMID41001215
PMCPMC12456539

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.