What Happens After Autism Screening-Factors That Predict Evaluation Attendance.
One in four kids flagged for autism never get diagnosed, and race plus family supports predict who falls away.
01Research in Context
What this study did
Wieckowski et al. (2025) tracked 4,498 kids who were flagged by routine autism surveillance. They asked: who actually shows up for the full evaluation and who never gets a diagnosis.
The team looked at race, age, and family supports to see which kids slipped through the cracks.
What they found
One in four children with clear ASD red flags never received a clinical diagnosis. Non-White race, being older at evaluation, and having fewer family supports predicted the miss.
In plain words: after screening, White families and kids with more help at home were far more likely to finish the diagnostic path.
How this fits with other research
Au-Yeung et al. (2015) saw the same pattern years earlier: lower maternal education and minority status meant families were harder to reach after M-CHAT screening. Trubanova extends that work by showing the end result—no diagnosis at all.
Thompson Brown et al. (2026) add another layer: when Black children do reach evaluation, the assessment is often less thorough, leading to missed educational eligibility. Together the papers form a chain—screening loss, then evaluation gaps, then service denial.
Parikh et al. (2018) found higher-SES kids with language delays got diagnosed ~20 months sooner. The new study flips the lens: instead of later diagnosis, it counts kids who never get one, again showing social advantage speeds the process.
Why it matters
If you run screening clinics or track referrals, expect 25% of flagged families—especially non-White, low-support households—to vanish before diagnosis. Build extra contact steps: text reminders, flexible hours, and community navigators. Close the loop so surveillance actually leads to services.
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02At a glance
03Original abstract
The objectives of our study were to (a) report how many children met an autism spectrum disorder (ASD) surveillance definition but had no clinical diagnosis of ASD in health or education records and (b) evaluate differences in demographic, individual, and service factors between children with and without a documented ASD diagnosis. ASD surveillance was conducted in selected areas of Arizona, Arkansas, Colorado, Georgia, Maryland, Minnesota, Missouri, New Jersey, North Carolina, Tennessee, and Wisconsin. Children were defined as having ASD if sufficient social and behavioral deficits and/or an ASD diagnosis were noted in health and/or education records. Among 4,498 children, 1,135 (25%) had ASD indicators without having an ASD diagnosis. Of those 1,135 children without a documented ASD diagnosis, 628 (55%) were not known to receive ASD services in public school. Factors associated with not having a clinical diagnosis of ASD were non-White race, no intellectual disability, older age at first developmental concern, older age at first developmental evaluation, special education eligibility other than ASD, and need for fewer supports. These results highlight the importance of reducing disparities in the diagnosis of children with ASD characteristics so that appropriate interventions can be promoted across communities. Autism Res 2020, 13: 464-473. © 2019 International Society for AutismResearch,Wiley Periodicals, Inc. LAY SUMMARY: Children who did not have a clinical diagnosis of autism spectrum disorder (ASD) documented in health or education records were more likely to be non-White and have fewer developmental problems than children with a clinical diagnosis of ASD. They were brought to the attention of healthcare providers at older ages and needed fewer supports than children with a clinical diagnosis of ASD. All children with ASD symptoms who meet diagnostic criteria should be given a clinical diagnosis so they can receive treatment specific to their needs.
Journal of autism and developmental disorders, 2025 · doi:10.1002/aur.2255