Racial and Ethnic Disparities in Geographic Access to Autism Resources Across the US.
Liu Bennett M, Paskov Kelley, Kent Jack, McNealis Maya, Sutaria Soren, Dods Olivia, Harjadi Christopher, Stockham Nate, Ostrovsky Andrey, Wall Dennis P
What this study means for families
This large study looked at whether autistic children from different racial backgrounds have equal access to autism services across America. Researchers found that American Indian, Hispanic, and Black autistic children have significantly less access to autism resources compared to White autistic children. The problem was worse in smaller cities and towns, and in areas where minority children made up most of the autistic population.
Summary by AutismInsights from published abstract. This is not a substitute for reading the original paper.
Research summary
This nationwide cross-sectional study examined geographic access to autism services across racial and ethnic groups using data from 530,965 autistic children (K-12) and 51,071 autism resources across 912 core-based statistical areas. The study found significant disparities in access to autism resources, with American Indian/Alaska Native and Hispanic autistic children having the greatest disparities nationally compared to White children. Black and Hispanic children had fewer resources in areas where they comprised >50% of the autistic population. Disparities were most pronounced in micropolitan areas for Black and Hispanic children, while metropolitan areas showed greatest disparities for American Indian/Alaska Native and Hispanic children.
Summary by AutismInsights from published abstract. This is not a substitute for reading the original paper.
Key findings
- 1
American Indian/Alaska Native and Hispanic autistic children had significant disparities in access to autism resources compared to White children nationally
Confidence: highRelevance: Identifies specific populations requiring targeted resource allocation - 2
Areas where Black or Hispanic autistic children comprised >50% of population had significantly fewer resources than areas with <50%
Confidence: highRelevance: Geographic clustering of disparities suggests need for location-specific interventions - 3
Disparities were greatest in micropolitan areas for Black and Hispanic children, and in metropolitan areas for American Indian/Alaska Native and Hispanic children
Confidence: highRelevance: Population density affects disparity patterns, requiring different strategies for urban vs rural areas
Summary by AutismInsights from published abstract. This is not a substitute for reading the original paper.
Clinical implications
Findings demonstrate systematic inequities requiring targeted policy interventions. Priority should be given to increasing autism resources in areas with high concentrations of minoritized populations, particularly in micropolitan regions. Geographic mapping approach provides framework for evidence-based resource allocation and disparity reduction strategies.
Summary by AutismInsights from published abstract. This is not a substitute for reading the original paper.
Limitations
Cross-sectional design prevents causal inference. Resource mapping may not capture all available services. Quality and appropriateness of services not assessed. Temporal gaps between data collection periods (2015-2022) may affect accuracy of resource-population matching.
Summary by AutismInsights from published abstract. This is not a substitute for reading the original paper.
Original abstract
While research has identified racial and ethnic disparities in access to autism services, the size, extent, and specific locations of these access gaps have not yet been characterized on a national scale. Mapping comprehensive national listings of autism health care services together with the prevalence of autistic children of various races and ethnicities and evaluating geographic regions defined by localized commuting patterns may help to identify areas within the US where families who belong to minoritized racial and ethnic groups have disproportionally lower access to services. To evaluate differences in access to autism health care services among autistic children of various races and ethnicities within precisely defined geographic regions encompassing all serviceable areas within the US. This population-based cross-sectional study was conducted from October 5, 2021, to June 3, 2022, and involved 530 965 autistic children in kindergarten through grade 12.
Core-based statistical areas (CBSAs; defined as areas containing a city and its surrounding commuter region), the Civil Rights Data Collection (CRDC) data set, and 51 071 autism resources (collected from October 1, 2015, to December 18, 2022) geographically distributed into 912 CBSAs were combined and analyzed to understand variation in access to autism health care services among autistic children of different races and ethnicities. Six racial and ethnic categories (American Indian or Alaska Native, Asian, Black or African American, Hispanic or Latino, Native Hawaiian or other Pacific Islander, and White) assigned by the US Department of Education were included in the analysis. A regularized least-squares regression analysis was used to measure differences in nationwide resource allocation between racial and ethnic groups. The number of autism resources allocated per autistic child was estimated based on the child's racial and ethnic group.
To evaluate how the CBSA population size may have altered the results, the least-squares regression analysis was run on CBSAs divided into metropolitan (>50 000 inhabitants) and micropolitan (10 000-50 000 inhabitants) groups. A Mann-Whitney U test was used to compare the model estimated ratio of autism resources to autistic children among specific racial and ethnic groups comprising the proportions of autistic children in each CBSA. Among 530 965 autistic children aged 5 to 18 years, 83.9% were male and 16.1% were female; 0.7% of children were American Indian or Alaska Native, 5.9% were Asian, 14.3% were Black or African American, 22.9% were Hispanic or Latino, 0.2% were Native Hawaiian or other Pacific Islander, 51.7% were White, and 4.2% were of 2 or more races and/or ethnicities. At a national scale, American Indian or Alaska Native autistic children (β = 0; 95% CI, 0-0; P = .01) and Hispanic autistic children (β = 0.02; 95% CI, 0-0.06; P = .02) had significant disparities in access to autism resources in comparison with White autistic children.
When evaluating the proportion of autistic children in each racial and ethnic group, areas in which Black autistic children (>50% of the population: β = 0.05; <50% of the population: β = 0.07; P = .002) or Hispanic autistic children (>50% of the population: β = 0.04; <50% of the population: β = 0.07; P < .001) comprised greater than 50% of the total population of autistic children had significantly fewer resources than areas in which Black or Hispanic autistic children comprised less than 50% of the total population. Comparing metropolitan vs micropolitan CBSAs revealed that in micropolitan CBSAs, Black autistic children (β = 0; 95% CI, 0-0; P < .001) and Hispanic autistic children (β = 0; 95% CI, 0-0.02; P < .001) had the greatest disparities in access to autism resources compared with White autistic children. In metropolitan CBSAs, American Indian or Alaska Native autistic children (β = 0; 95% CI, 0-0; P = .005) and Hispanic autistic children (β = 0.01; 95% CI, 0-0.06; P = .02) had the greatest disparities compared with White autistic children. In this study, autistic children from several minoritized racial and ethnic groups, including Black and Hispanic autistic children, had access to significantly fewer autism resources than White autistic children in the US.
This study pinpointed the specific geographic regions with the greatest disparities, where increases in the number and types of treatment options are warranted. These findings suggest that a prioritized response strategy to address these racial and ethnic disparities is needed.
Evidence Grade
moderate
Grade assigned by AutismInsights based on study type and published abstract.
Study Details
- Journal
- JAMA network open
- Year
- 2023
- PMID
- 36689227
- DOI
- 10.1001/jamanetworkopen.2022.51182
MeSH Terms