Racialized economic segregation and potentially preventable hospitalizations among Medicaid/CHIP-enrolled children.

CHIP Medicaid child and adolescent health health care disparities health equity index of concentration at the extremes racial/ethnic differences in health and health care racialized economic segregation social determinants of health

Journal

Health services research
ISSN: 1475-6773
Titre abrégé: Health Serv Res
Pays: United States
ID NLM: 0053006

Informations de publication

Date de publication:
06 2023
Historique:
pmc-release: 01 06 2024
medline: 4 5 2023
pubmed: 18 12 2022
entrez: 17 12 2022
Statut: ppublish

Résumé

To examine geographic variation in preventable hospitalizations among Medicaid/CHIP-enrolled children and to test the association between preventable hospitalizations and a novel measure of racialized economic segregation, which captures residential segregation within ZIP codes based on race and income simultaneously. We supplement claims and enrollment data from the Transformed Medicaid Statistical Information System (T-MSIS) representing over 12 million Medicaid/CHIP enrollees in 24 states with data from the Public Health Disparities Geocoding Project measuring racialized economic segregation. We measure preventable hospitalizations by ZIP code among children. We use logistic regression to estimate the association between ZIP code-level measures of racialized economic segregation and preventable hospitalizations, controlling for sex, age, rurality, eligibility group, managed care plan type, and state. We include children ages 0-17 continuously enrolled in Medicaid/CHIP throughout 2018. We use validated algorithms to identify preventable hospitalizations, which account for characteristics of the pediatric population and exclude children with certain underlying conditions. Preventable hospitalizations vary substantially across ZIP codes, and a quarter of ZIP codes have rates exceeding 150 hospitalizations per 100,000 Medicaid-enrolled children per year. Preventable hospitalization rates vary significantly by level of racialized economic segregation: children living in the ZIP codes that have the highest concentration of low-income, non-Hispanic Black residents have adjusted rates of 181 per 100,000 children, compared to 110 per 100,000 for children in ZIP codes that have the highest concentration of high-income, non-Hispanic white residents (p < 0.01). This pattern is driven by asthma-related preventable hospitalizations. Medicaid-enrolled children's risk of preventable hospitalizations depends on where they live, and children in economically and racially segregated neighborhoods-specifically those with higher concentrations of low-income, non-Hispanic Black residents-are at particularly high risk. It will be important to identify and implement Medicaid/CHIP and other policies that increase access to high-quality preventive care and that address structural drivers of children's health inequities.

Identifiants

pubmed: 36527452
doi: 10.1111/1475-6773.14120
pmc: PMC10154153
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

599-611

Informations de copyright

© 2022 Health Research and Educational Trust.

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Auteurs

Laura Barrie Smith (LB)

Health Policy Center, Urban Institute, Washington, DC, USA.

Claire O'Brien (C)

Health Policy Center, Urban Institute, Washington, DC, USA.

Genevieve M Kenney (GM)

Health Policy Center, Urban Institute, Washington, DC, USA.

Loni Philip Tabb (LP)

Drexel University, Dornsife School of Public Health, Philadelphia, Pennsylvania, USA.

Alaisha Verdeflor (A)

Health Policy Center, Urban Institute, Washington, DC, USA.

Keqin Wei (K)

Health Policy Center, Urban Institute, Washington, DC, USA.
Urban Institute, Office of Technology and Data Science, Washington, DC, USA.

Victoria Lynch (V)

Health Policy Center, Urban Institute, Washington, DC, USA.

Timothy Waidmann (T)

Health Policy Center, Urban Institute, Washington, DC, USA.

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