Department of Population Health, Dell Medical School, University of Texas at Austin, Austin, Tex; Center for Health and Environment: Education and Research, Dell Medical School, University of Texas at Austin, Austin, Tex.
Center for Health and Environment: Education and Research, Dell Medical School, University of Texas at Austin, Austin, Tex; Department of Women's Health, Dell Medical School, University of Texas at Austin, Austin, Tex.
J Allergy Clin Immunol. 2024 Oct;154(4):933-939. doi: 10.1016/j.jaci.2024.05.024. Epub 2024 Jun 6.
The extent to which incidence rates of asthma-related emergency department (ED) visits vary from neighborhood to neighborhood and predictors of neighborhood-level asthma ED visit burden are not well understood.
We aimed to describe the census tract-level spatial distribution of asthma-related ED 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 census tracts in Travis County, Texas, and assess the contribution of census tract characteristics to their distribution.
There were distinct patterns in ED visit incidence rates at the census tract scale. These patterns 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. Most 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.
哮喘相关急诊就诊率在邻里之间的差异程度以及邻里层面哮喘急诊就诊负担的预测因素尚不清楚。
我们旨在描述德克萨斯州中部哮喘相关急诊就诊率的普查地段水平的空间分布，并确定解释邻里层面哮喘急诊就诊率差异的邻里层面特征。
条件自回归模型用于检验德克萨斯州特拉维斯县普查地段哮喘相关急诊就诊发生率的空间分布，并评估普查地段特征对其分布的贡献。
在普查地段尺度上，急诊就诊发生率存在明显的模式。这些模式在很大程度上不能用社会经济或选定的建成环境邻里特征来解释。然而，种族和民族构成解释了普查地段之间急诊就诊发生率的 33%的可变性。普查地段急诊就诊发生率的预测因素因种族和民族群体而异。
哮喘急诊就诊发生率在较小的空间尺度上存在明显的差异。在德克萨斯州中部，哮喘急诊就诊率的普查地段水平差异大部分不能用种族和民族构成或其他邻里特征来解释。
