Evidence map›Paper›PMID 36527452›Full record

ArticleHealth services research2023

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

Laura Barrie Smith, Claire O'Brien, Genevieve M Kenney, Loni Philip Tabb, Alaisha Verdeflor, Keqin Wei, Victoria Lynch, Timothy Waidmann

Abstract read
In one paragraph

Article in Health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Measuring Spatial Social Polarization in Public Health Research: A Scoping Review of Methods and Applications.Journal of urban health : bulletin of the New York Academy of Medicine · 2025
    Article
  2. Article
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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

8 authors.

Laura Barrie SmithHealth Policy Center, Urban Institute, Washington, DC, USA.ORCID 0000-0002-2693-1802
Claire O'BrienHealth Policy Center, Urban Institute, Washington, DC, USA.
Genevieve M KenneyHealth Policy Center, Urban Institute, Washington, DC, USA.
Loni Philip TabbDrexel University, Dornsife School of Public Health, Philadelphia, Pennsylvania, USA.
Alaisha VerdeflorHealth Policy Center, Urban Institute, Washington, DC, USA.
Keqin WeiHealth Policy Center, Urban Institute, Washington, DC, USA.
Victoria LynchHealth Policy Center, Urban Institute, Washington, DC, USA.
Timothy WaidmannHealth Policy Center, Urban Institute, Washington, DC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo 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. DATA SOURCES: 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. STUDY

designWe 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. DATA EXTRACTION

methodsWe 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. PRINCIPAL

findingsPreventable 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.

conclusionsMedicaid-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.

Indexed as

HospitalizationMedicaidAdolescentChildChild, PreschoolHumansIncomeInfantInfant, NewbornManaged Care ProgramsPovertyUnited Stateschild and adolescent healthCHIPhealth care disparitieshealth equityindex of concentration at the extremesMedicaidracial/ethnic differences in health and health careracialized economic segregationsocial determinants of health

Identifiers

PMID36527452
PMCPMC10154153

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Registered trials

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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.