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Postpartum Readmission in People with Intellectual and Developmental Disability
Journal article   Open access   Peer reviewed

Postpartum Readmission in People with Intellectual and Developmental Disability

Jessica E Rast, Jennifer Bromberg, Arina Chesnokova, Molly Sadowsky, Jonas Ventimiglia and Lindsay Shea
American journal of preventive medicine, v 69(4), 107959
25 Jun 2025
PMID: 40578579
Featured in Collection :   Research Supported by Drexel Libraries' OA Programs
url
https://doi.org/10.1016/j.amepre.2025.107959View
Published, Version of Record (VoR)Open Access via Drexel Libraries Read and Publish Program 2025CC BY V4.0 Open

Abstract

Introduction Postpartum readmission (PPR) and severe maternal morbidity have been increasing in recent years in the U.S., but little is known about the risk of either for people with intellectual and developmental disabilities (IDD), including the autism spectrum. The purpose of the study is to establish an estimate of PPR in a nationally representative sample of people with IDD. Methods this study used the National Readmission Database to examine the deliveries of people with IDD (n=5721), people on the autism spectrum (n=1099) and deliveries in people without IDD or autism (n=3,890,553) in 2019 and 2020. Log-binomial regression was used to examine person and delivery characteristics associated with PPR in all deliveries. Results PPR was more common in people with IDD (6.6%) and people on the autism spectrum (3.3%) than in all other deliveries (1.5%). In adjusted analyses, people with IDD (aRR 3.50, 95% CI 3.15, 3.90) and people on the autism spectrum (aRR 2.06, 95% CI 1.42, 2.97) had increased risk of PPR compared to people without these conditions. Other characteristics were also associated with increased risk of PPR, including 2.80 times the risk of PPR in people with severe maternal morbidity compared to those without (95% CI 2.66, 2.94). Conclusions High rates of PPR in people with IDD point to the need for a better understanding of the drivers of such high rates in these populations. These drivers could include population differences in co-occurring health and mental health conditions, social and community support, and accessible health care.

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Collaboration types
Domestic collaboration
Web of Science research areas
Public, Environmental & Occupational Health
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