Evaluating Autism diagnosis agreement between primary care physicians/practitioners and experts through ECHO Autism STAT.

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    • Abstract:
      Even though early intervention leads to improved outcomes for children with autism spectrum disorder (ASD), delays in diagnosis can have an impact on both children and families. ASD diagnostic practices have significantly evolved over time, in part, because of the lack of specialists to meet the demand. ECHO Autism STAT is one innovative model that increased the capacity of community primary care providers (PCPs) to reliably diagnose ASD within their own practices via hands-on training and virtual guidance and support from ASD specialists. The current study evaluated PCPs agreement with ECHO Autism experts in making independent clinical decisions related to ASD diagnosis in unambiguous cases. After obtaining reliability on the STAT and attending 6 mo of ECHO Autism sessions, PCPs agreement with expert impressions was evaluated for (a) diagnosing unambiguous ASD and (b) identifying symptoms that met DSM-5 criteria. The proportion of cases that achieved the highest PCP agreement score with ASD experts for overall ASD diagnostic impressions was 90% across all cases, 94% across unambiguous cases, and 84% across more complex cases. PCP agreement for DSM-5 symptom impressions was 79%, 87%, and 66% across all, unambiguous, and more complex cases, respectively. Results were significant for unambiguous cases when compared to more complex cases. PCPs can develop clinical expertise in the evaluation and diagnosis of young children with unambiguous ASD that is accurate and reliable. Development of this expertise can expand access for community-based diagnosis that is critical for early detection of ASD. • Primary care providers can develop clinical expertise to diagnose autistic children. • ECHO Autism STAT can increase access to best practice care. • PCPs can play an important role in serving autistic children in their community. [ABSTRACT FROM AUTHOR]
    • Abstract:
      Copyright of Research in Autism Spectrum Disorders is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)