Neighborhood-level variability in asthma-related emergency department visits in Central Texas.

asthma disparities environment neighborhood spatial analysis

Journal

The Journal of allergy and clinical immunology
ISSN: 1097-6825
Titre abrégé: J Allergy Clin Immunol
Pays: United States
ID NLM: 1275002

Informations de publication

Date de publication:
06 Jun 2024
Historique:
received: 16 11 2023
revised: 15 04 2024
accepted: 17 05 2024
medline: 9 6 2024
pubmed: 9 6 2024
entrez: 8 6 2024
Statut: aheadofprint

Résumé

The extent to which asthma-related ED visit incidence rates vary from neighborhood to neighborhood and predictors of neighborhood-level asthma ED visit burden are not well understood. To describe the census tract-level spatial distribution of asthma-related emergency department visits in Central Texas and identify neighborhood-level characteristics that explain variability in neighborhood-level asthma ED visit rates. Conditional autoregressive models were used to examine the spatial distribution of asthma-related ED visit incidence rates across Travis County, TX census tracts and to assess the contribution of census tract characteristics to their distribution. There were distinct patterns in ED visit incidence rates at the census tract scale, which were largely unexplained by socioeconomic or selected built environment neighborhood characteristics. However, racial and ethnic composition explained 33% of the variability of ED visit incidence rates across census tracts. The census tract predictors of ED visit incidence rates differed by racial and ethnic group. Variability in asthma ED visit incidence rates are apparent at smaller spatial scales. The majority of the variability in census tract-level asthma ED visit rates in Central Texas is not explained by racial and ethnic composition or other neighborhood characteristics.

Sections du résumé

BACKGROUND BACKGROUND
The extent to which asthma-related ED visit incidence rates vary from neighborhood to neighborhood and predictors of neighborhood-level asthma ED visit burden are not well understood.
OBJECTIVE OBJECTIVE
To describe the census tract-level spatial distribution of asthma-related emergency department visits in Central Texas and identify neighborhood-level characteristics that explain variability in neighborhood-level asthma ED visit rates.
METHODS METHODS
Conditional autoregressive models were used to examine the spatial distribution of asthma-related ED visit incidence rates across Travis County, TX census tracts and to assess the contribution of census tract characteristics to their distribution.
RESULTS RESULTS
There were distinct patterns in ED visit incidence rates at the census tract scale, which were largely unexplained by socioeconomic or selected built environment neighborhood characteristics. However, racial and ethnic composition explained 33% of the variability of ED visit incidence rates across census tracts. The census tract predictors of ED visit incidence rates differed by racial and ethnic group.
CONCLUSIONS CONCLUSIONS
Variability in asthma ED visit incidence rates are apparent at smaller spatial scales. The majority of the variability in census tract-level asthma ED visit rates in Central Texas is not explained by racial and ethnic composition or other neighborhood characteristics.

Identifiants

DOI: 10.1016/j.jaci.2024.05.024 PMID: 38851399
pubmed: 38851399
pii: S0091-6749(24)00568-2
doi: 10.1016/j.jaci.2024.05.024
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 American Academy of Allergy, Asthma & Immunology. Published by Elsevier Inc. All rights reserved.

Auteurs

Rebecca A Zárate (RA)

Department of Population Health, Dell Medical School at the University of Texas at Austin; Center for Health & Environment: Education & Research, Dell Medical School at the University of Texas at Austin.

Darlene Bhavnani (D)

Department of Population Health, Dell Medical School at the University of Texas at Austin; Center for Health & Environment: Education & Research, Dell Medical School at the University of Texas at Austin.

Sarah Chambliss (S)

Department of Population Health, Dell Medical School at the University of Texas at Austin; Center for Health & Environment: Education & Research, Dell Medical School at the University of Texas at Austin.

Emily M Hall (EM)

Department of Women's Health, Dell Medical School at the University of Texas at Austin; Center for Health & Environment: Education & Research, Dell Medical School at the University of Texas at Austin.

Corwin Zigler (C)

Department of Statistics and Data Sciences at the University of Texas at Austin; Center for Health & Environment: Education & Research, Dell Medical School at the University of Texas at Austin.

Catherine Cubbin (C)

Steve Hicks School of Social Work, University of Texas at Austin; Center for Health & Environment: Education & Research, Dell Medical School at the University of Texas at Austin.

Matthew Wilkinson (M)

Department of Pediatrics, Dell Medical School at the University of Texas at Austin.

Elizabeth C Matsui (EC)

Department of Population Health, Dell Medical School at the University of Texas at Austin; Department of Pediatrics, Dell Medical School at the University of Texas at Austin; Center for Health & Environment: Education & Research, Dell Medical School at the University of Texas at Austin. Electronic address: ematsui@utexas.edu.

Classifications MeSH