Paisley: Preliminary validation of a novel app-based e-Screener for ASD in children 18-36 months

• Published in: Autism research 2023-10, Vol.16 (10), p.1963-1975
• Main Authors: Honaker, Makayla G, Weitlauf, Amy S, Swanson, Amy R, Hooper, Madison, Sarkar, Nilanjan, Wade, Joshua, Warren, Zachary E
• Format: Article
• Language: English
• Subjects: Autism Spectrum Disorder - diagnosis; Autistic Disorder; Humans; Mobile Applications; Predictive Value of Tests
• ISSN: 1939-3792; 1939-3806; 1939-3806
• DOI: 10.1002/aur.2997

The purpose of this study was to assess the validity of an autism e-screener, Paisley, when utilized in a clinical research setting via a tablet application. The Paisley application used a series of play-based activities, all of which incorporated varying aspects of the ASD-PEDS. Participants included children (18-36 months; n = 198) referred for evaluation of autism spectrum disorder (ASD) and community providers (n = 66) with differing levels of familiarity with ASD. Community providers administered the Paisley application to children who then completed a comprehensive psychological evaluation. Based on comprehensive evaluation, 75% of children met diagnostic criteria for ASD. Paisley scores were significantly higher for children diagnosed with ASD (15.06) versus those not diagnosed (9.34). The newly determined cutoff ASD-PEDS cutoff score of 13 had significantly higher specificity and positive predictive value than the originally proposed cutoff of 11. Results support the use of Paisley by community providers to identify autism risk in toddlers. Limitations and strengths of the work, as well as opportunities for future clinical validation, are described.