"Early Identification of Autism Spectrum Disorder Among Children Aged 4 Years - Early Autism and Developmental Disabilities Monitoring Network, Six Sites, United States, 2016" vol. "Early Identification of Autism Spectrum Disorder Among Children Aged 4 Years - Early Autism and Developmental Disabilities Monitoring Network, Six Sites, United States, 2016" 69, no. Early Identification of Autism Spectrum Disorder Among Children Aged 4 Years - Early Autism and Developmental Disabilities Monitoring Network, Six Sites, United States, 2016. Surveillance summaries : Morbidity and Mortality Weekly Report. University of North Carolina, Chapel Hill. University of Colorado School of Medicine. Department of Public Health and Environment. Ĭorporate Authors(s) : National Center on Birth Defects and Developmental Disabilities (Centers for Disease Control and Prevention) University of Arizona. Zahorodny, Walter Shenouda, Josephine Daniels, Julie L. White, Tiffany Rosenberg, Cordelia Robinson Constantino, John N. Baio, Jon Washington, Anita Christensen, Deborah L. 4, 2020 Export RIS Citation Information.ĬITE Title : Early Identification of Autism Spectrum Disorder Among Children Aged 4 Years - Early Autism and Developmental Disabilities Monitoring Network, Six Sites, United States, 2016 "Prevalence of Autism Spectrum Disorder Among Children Aged 8 Years - Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2016" vol. "Prevalence of Autism Spectrum Disorder Among Children Aged 8 Years - Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2016" 69, no. Prevalence of Autism Spectrum Disorder Among Children Aged 8 Years - Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2016. University of Arkansas for Medical Sciences. Warren, Zachary Vehorn, Alison Salinas, Angelica Durkin, Maureen S. Hallas-Muchow, Libby Constantino, John N. Lopez, Maya Hudson, Allison Baroud, Thaer Schwenk, Yvette White, Tiffany Rosenberg, Cordelia Robinson Lee, Li-Ching Harrington, Rebecca A Huston, Margaret Hewitt, Amy Esler, Amy Hall-Lande, Jennifer Poynter, Jenny N. Baio, Jon Washington, Anita Patrick, Mary DiRienzo, Monica Christensen, Deborah L. This framework provides confidence in the consistency of prevalence classifications of ASD and may be further applied to improve consistency of ASD diagnoses in clinical settings.ĬITE Title : Prevalence of Autism Spectrum Disorder Among Children Aged 8 Years - Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2016 Classification of DSM-5 ASD by mapping specific exemplars from evaluation records by a diverse group of clinician raters is feasible and reliable. 60-.79 to excellent ≥ .80 Kappa values) across sex, race/ethnicity, and cognitive levels for both phases. Interrater reliability for each of the DSM-5 diagnostic categories and overall ASD classification was high (defined as very good. Clinicians applied the diagnostic exemplars to child behavioral descriptions in existing evaluation records to establish initial reliability standards and then for blinded clinician review in one site (phase 1) and for two ADDM Network surveillance years (phase 2). Clinicians completed an iterative process to map specific exemplars from the CDC Autism and Developmental Disabilities Monitoring (ADDM) Network criteria for ASD surveillance, DSM-5 text, and diagnostic assessments to each of the core DSM-5 ASD criteria. This paper describes a process to define a comprehensive list of exemplars for seven core Diagnostic and Statistical Manual (DSM) diagnostic criteria for autism spectrum disorder (ASD), and report on interrater reliability in applying these exemplars to determine ASD case classification.
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