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Auteur A. DIEFENBACHER |
Documents disponibles écrits par cet auteur (1)
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Developing a Diagnostic Algorithm for the Music-Based Scale for Autism Diagnostics (MUSAD) Assessing Adults with Intellectual Disability / T. BERGMANN in Journal of Autism and Developmental Disorders, 49-9 (September 2019)
[article]
Titre : Developing a Diagnostic Algorithm for the Music-Based Scale for Autism Diagnostics (MUSAD) Assessing Adults with Intellectual Disability Type de document : Texte imprimé et/ou numérique Auteurs : T. BERGMANN, Auteur ; M. HEINRICH, Auteur ; M. ZIEGLER, Auteur ; I. DZIOBEK, Auteur ; A. DIEFENBACHER, Auteur ; T. SAPPOK, Auteur Article en page(s) : p.3732-3752 Langues : Anglais (eng) Mots-clés : Adults Autism spectrum disorder Diagnostic Intellectual disability Music Index. décimale : PER Périodiques Résumé : 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. En ligne : http://dx.doi.org/10.1007/s10803-019-04069-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=405
in Journal of Autism and Developmental Disorders > 49-9 (September 2019) . - p.3732-3752[article] Developing a Diagnostic Algorithm for the Music-Based Scale for Autism Diagnostics (MUSAD) Assessing Adults with Intellectual Disability [Texte imprimé et/ou numérique] / T. BERGMANN, Auteur ; M. HEINRICH, Auteur ; M. ZIEGLER, Auteur ; I. DZIOBEK, Auteur ; A. DIEFENBACHER, Auteur ; T. SAPPOK, Auteur . - p.3732-3752.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 49-9 (September 2019) . - p.3732-3752
Mots-clés : Adults Autism spectrum disorder Diagnostic Intellectual disability Music Index. décimale : PER Périodiques Résumé : 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. En ligne : http://dx.doi.org/10.1007/s10803-019-04069-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=405