Predictors of ascertainment of autism spectrum disorders across nine US communities.

Pettygrove et al. (2013) tracked how kids with autism get found in nine U.S. communities. They compared two groups: children picked up only by schools and children picked up by health clinics or both systems.

The team looked at age at evaluation, age at diagnosis, and the education level of the neighborhood where each child lived.

Kids found only through schools were almost a year older when diagnosed. They also lived in neighborhoods where fewer adults had finished high school.

The pattern shows that relying on schools alone lets children slip through the cracks longer.

McIntyre et al. (2017) extend these findings by adding ethnicity: even after you control for parent education, living in a mostly Hispanic block still lowers the chance a child is identified.

Prigge et al. (2013) show a way to plug the gap. When surveillance staff added early-intervention and university records to the usual clinic list, they caught every toddler with ASD that the standard method had missed.

Avlund et al. (2021) explain why some kids keep getting missed. Among 893 children first assessed before age 8, one in five who initially screened negative later received an ASD diagnosis. The biggest risk factors were subtle autism traits, low IQ, and low parent education—the same factors Sydney et al. saw clustered in lower-education blocks.

If you work in an area where families have less formal schooling, check school files first. A child may already have an educational label but no medical diagnosis. Ask when the first evaluation happened; if it was late, re-screen for missed needs. Pair your request with early-intervention records when possible. One extra phone call can pull forward a year of lost intervention time.