Neighborhood Deprivation and Severe Maternal Morbidity in a Medicaid Population.


Journal

American journal of preventive medicine
ISSN: 1873-2607
Titre abrégé: Am J Prev Med
Pays: Netherlands
ID NLM: 8704773

Informations de publication

Date de publication:
21 Nov 2023
Historique:
received: 05 09 2023
revised: 15 11 2023
accepted: 15 11 2023
medline: 24 11 2023
pubmed: 24 11 2023
entrez: 23 11 2023
Statut: aheadofprint

Résumé

Few studies have examined whether neighborhood deprivation is associated with severe maternal morbidity (SMM) in already socioeconomically disadvantaged populations. Little is known about to what extent neighborhood deprivation accounts for Black-White disparities in SMM. This study investigated these questions among a statewide Medicaid-insured population, a low-income population with heightened risk of SMM. Data were from Michigan statewide linked birth records and Medicaid claims between 01/01/2016 and 12/31/2019, and were analyzed between 2022 and 2023. Neighborhood deprivation was measured with the Area Deprivation Index at census block group and categorized as low, medium, or high deprivation. Multilevel logistic models were used to examine the association between neighborhood deprivation and SMM. Fairlie nonlinear decomposition was conducted to quantify the contribution of neighborhood deprivation to SMM racial disparity. People in the most deprived neighborhoods had higher odds of SMM than those in the least deprived neighborhoods (adjusted odds ratio, aOR [95% CI]: 1.27 [1.15, 1.40]). Such association was observed in Black (aOR [95% CI]: 1.34 [1.07, 1.67]) and White (aOR [95% CI]: 1.26 [1.12, 1.42]) racial subgroups. Decomposition showed that of 57.5 (cases per 10,000) explained disparity in SMM, neighborhood deprivation accounted for 23.1 (cases per 10,000; 95% CI: 16.3, 30.0) or two-fifths (40.2%) of the Black-White disparity. Analysis on SMM excluding blood transfusion showed consistent but weaker results. Neighborhood deprivation may be used as an effective tool to identify at-risk individuals within a low-income population. Community-engaged interventions aiming at improving neighborhood conditions may be helpful to reduce both SMM prevalence and racial inequity in SMM.

Identifiants

pubmed: 37995948
pii: S0749-3797(23)00474-9
doi: 10.1016/j.amepre.2023.11.016
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NIMHD NIH HHS
ID : K01 MD015079
Pays : United States

Informations de copyright

Copyright © 2023. Published by Elsevier Inc.

Auteurs

Xiao Yu (X)

Department of Obstetrics, Gynecology and Reproductive Biology, Michigan State University College of Human Medicine, Grand Rapids and East Lansing, MI, USA. Electronic address: yuxiao3@msu.edu.

Jennifer E Johnson (JE)

Department of Obstetrics, Gynecology and Reproductive Biology, Michigan State University College of Human Medicine, Grand Rapids and East Lansing, MI, USA; Charles Stewart Mott Department of Public Health, Michigan State University, Flint, MI, USA; Department of Psychiatry and Behavioral Medicine, Michigan State University, Grand Rapids, MI, USA.

Lee Anne Roman (LA)

Department of Obstetrics, Gynecology and Reproductive Biology, Michigan State University College of Human Medicine, Grand Rapids and East Lansing, MI, USA.

Kent Key (K)

Charles Stewart Mott Department of Public Health, Michigan State University, Flint, MI, USA.

Jonne McCoy White (JM)

Charles Stewart Mott Department of Public Health, Michigan State University, Flint, MI, USA.

Hannah Bolder (H)

Department of Obstetrics, Gynecology and Reproductive Biology, Michigan State University College of Human Medicine, Grand Rapids and East Lansing, MI, USA.

Jennifer E Raffo (JE)

Department of Obstetrics, Gynecology and Reproductive Biology, Michigan State University College of Human Medicine, Grand Rapids and East Lansing, MI, USA.

Ran Meng (R)

Department of Obstetrics, Gynecology and Reproductive Biology, Michigan State University College of Human Medicine, Grand Rapids and East Lansing, MI, USA.

Hannah Nelson (H)

Department of Obstetrics, Gynecology and Reproductive Biology, Michigan State University College of Human Medicine, Grand Rapids and East Lansing, MI, USA.

Cristian I Meghea (CI)

Department of Obstetrics, Gynecology and Reproductive Biology, Michigan State University College of Human Medicine, Grand Rapids and East Lansing, MI, USA.

Classifications MeSH