[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 |
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