Diagnosis Trends in ASD and Its Contributing Factors
Autism spectrum disorder diagnosis and access to treatment may vary by geography and sex. This brief examines diagnostic timing, insurance barriers, and behavioral treatment access using national child health survey data and supporting literature.
The research question
How are geography and sex associated with the timing of autism spectrum disorder diagnosis and access to behavioral treatment among U.S. children?
Methods
The project examined 2022 and 2023 National Survey of Children’s Health materials together with supporting literature on diagnostic timing, insurance barriers, and behavioral treatment. Analyses conducted in Python and Google Colab compared patterns by sex and metropolitan versus nonmetropolitan setting.
Key findingsThe reported results identified gaps in behavioral treatment and differences in early diagnosis across sex and geographic setting. Boys were more frequently diagnosed between birth and age two in both metropolitan and nonmetropolitan areas. The patterns suggest that demographic and geographic factors may shape when children receive a diagnosis and whether they gain access to treatment.
Explore the findings
Use the interactive figure to inspect each reported observation.
First ASD diagnosis at ages 0-2, by sex and metropolitan status (%)
Select a column to inspect its value.
Note. Weighted percentage of children whose first ASD diagnosis was reported at ages 0-2, as shown in Figure 1 of the presentation. Final analytic cohort: n=2,975. These descriptive comparisons do not establish causal effects.
What the findings could mean
Differences in diagnostic timing can affect when children and families gain access to support. Recognizing geographic and demographic gaps may help health systems target screening, referral pathways, and behavioral treatment resources toward communities facing the greatest barriers.
What comes next
Future analyses should report group-specific denominators and use adjusted models to examine age, sex, geography, insurance, and treatment access together. Additional work should test whether service availability and referral patterns explain the observed differences and which interventions reduce delays.