Preliminary Validation and Feasibility of the Autism Detection in Early Childhood-Virtual (ADEC-V) for Autism Telehealth Evaluations in a Hospital Setting.
Elizabeth M Kryszak, Charles M Albright, Kevin G Stephenson and 7 others
PMID 35138558WHAT IT FOUND
A telehealth version of the ADEC screening tool identified autism in toddlers referred for assessment, with the best balance of catching true cases and avoiding false alarms at a score of 14.
It should be used alongside a caregiver interview, not as a standalone diagnostic test.
Key findings
01The ADEC-V showed good overall diagnostic accuracy for identifying ASD in this referred sample.
02A cutoff score of 14 provided a better balance between sensitivity and specificity than the lower recommended cutoff of 11.
03The ADEC-V scores were strongly correlated with the CARS-2 but only modestly correlated with the ADI-R.
STILL TO COME
How it was doneWhat they foundWhat it means for SLPs
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What it does not show
The study only included children who had already been referred for autism assessment due to developmental concerns, so the results do not apply to general screening of typically developing children. The sample was drawn from a single hospital site, which may limit how well the results apply to other clinical settings. The study did not collect data from parents or clinicians on the feasibility or acceptability of the telehealth administration process. Direct standardized developmental testing could not be completed due to telehealth restrictions, so cognitive level was estimated via parent report. The age range was expanded to 47 months, but the tool was originally designed for children up to 3 years, and scores were slightly negatively correlated with age, suggesting caution for older toddlers.
Declared interests
The authors declared no conflicts of interest. The study was approved by the hospital's internal review board.
The easy way to misread this
Do not use the ADEC-V as a standalone diagnostic tool. The study found that while it has good accuracy, its specificity drops significantly at the lower cutoff score, and it was designed to be used as part of a comprehensive evaluation that includes caregiver interviews like the ADI-R.