1. Developing a Diagnostic Algorithm for the Music-Based Scale for Autism Diagnostics (MUSAD) Assessing Adults with Intellectual Disability
- Author
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Bergmann, Thomas, Heinrich, Manuel, Ziegler, Matthias, Dziobek, Isabel, Diefenbacher, Albert, and Sappok, Tanja
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Diagnosis ,Analysis ,Child health -- Analysis ,Autism -- Diagnosis ,Medical research ,Medicine, Experimental ,Children -- Health aspects - Abstract
Author(s): Thomas Bergmann [sup.1] , Manuel Heinrich [sup.2] , Matthias Ziegler [sup.3] , Isabel Dziobek [sup.4] , Albert Diefenbacher [sup.1] , Tanja Sappok [sup.1] Author Affiliations: (Aff1) 0000 0004 0389 [...], Initial studies have presented the Music-based Scale for Autism Diagnostics (MUSAD) as a promising DSM-5-based observational tool to identify autism spectrum disorder (ASD) in adults with intellectual disability (ID). The current study is the first to address its clinical utility in a new sample of 124 adults with ID (60.5% diagnosed with ASD). The derived diagnostic algorithm differentiated well between individuals with and without ASD (sensitivity 79%, specificity 74%, area under the curve = 0.81). Inter-rater reliability, assessed by the scorings of four independent experts in 22 consensus cases, was excellent (ICC = 0.92). Substantial correlations with scores from other ASD-specific measures indicated convergent validity. The MUSAD yields accurate and reliable scores, supporting comprehensive ASD diagnostics in adults with ID.
- Published
- 2019
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