Centre d'Information et de documentation du CRA Rhône-Alpes
CRA
Informations pratiques
-
Adresse
Centre d'information et de documentation
du CRA Rhône-Alpes
Centre Hospitalier le Vinatier
bât 211
95, Bd Pinel
69678 Bron CedexHoraires
Lundi au Vendredi
9h00-12h00 13h30-16h00Contact
Tél: +33(0)4 37 91 54 65
Mail
Fax: +33(0)4 37 91 54 37
-
Résultat de la recherche
1 recherche sur le mot-clé 'ICD-10'
Affiner la recherche Générer le flux rss de la recherche
Partager le résultat de cette recherche Faire une suggestion
Signposting for diagnosis of Autism Spectrum Disorder using the Diagnostic Interview for Social and Communication Disorders (DISCO) / Sarah J. CARRINGTON in Research in Autism Spectrum Disorders, 9 (January 2015)
[article]
Titre : Signposting for diagnosis of Autism Spectrum Disorder using the Diagnostic Interview for Social and Communication Disorders (DISCO) Type de document : Texte imprimé et/ou numérique Auteurs : Sarah J. CARRINGTON, Auteur ; Susan LEEKAM, Auteur ; Rachel KENT, Auteur ; Jarymke MALJAARS, Auteur ; Judith GOULD, Auteur ; Lorna WING, Auteur ; Ann LE COUTEUR, Auteur ; Ina VAN BERCKELAER-ONNES, Auteur ; Ilse NOENS, Auteur Année de publication : 2015 Article en page(s) : p.45-52 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder Diagnosis DSM-5 ICD-10 Screening Index. décimale : PER Périodiques Résumé : Abstract Recent research has investigated the capability of the Diagnostic and Statistical Manual for Mental Disorders (DSM-5) descriptions to identify individuals who should receive a diagnosis of Autism Spectrum Disorder (ASD) using standardised diagnostic instruments. Building on previous research investigating behaviours essential for the diagnosis of DSM-5 ASD, the current study investigated the sensitivity and specificity of a set of 14 items derived from the Diagnostic Interview for Social and Communication Disorders (DISCO Signposting set) that have potential for signposting the diagnosis of autism according to both the new DSM-5 criteria for ASD and ICD-10 criteria for Childhood Autism. An algorithm threshold for the Signposting set was calculated in Sample 1 (n = 67), tested in an independent validation sample (Sample 2; n = 78), and applied across age and ability sub-groups in Sample 3 (n = 190). The algorithm had excellent predictive validity according to best estimate clinical diagnosis (Samples 1 and 2) and excellent agreement with established algorithms for both DSM-5 and ICD-10 (all samples). The signposting set has potential to inform our understanding of the profile of ASD in relation to other neurodevelopmental disorders and to form the basis of a Signposting Interview for use in clinical practice. En ligne : http://dx.doi.org/10.1016/j.rasd.2014.10.003 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=243
in Research in Autism Spectrum Disorders > 9 (January 2015) . - p.45-52[article] Signposting for diagnosis of Autism Spectrum Disorder using the Diagnostic Interview for Social and Communication Disorders (DISCO) [Texte imprimé et/ou numérique] / Sarah J. CARRINGTON, Auteur ; Susan LEEKAM, Auteur ; Rachel KENT, Auteur ; Jarymke MALJAARS, Auteur ; Judith GOULD, Auteur ; Lorna WING, Auteur ; Ann LE COUTEUR, Auteur ; Ina VAN BERCKELAER-ONNES, Auteur ; Ilse NOENS, Auteur . - 2015 . - p.45-52.
Langues : Anglais (eng)
in Research in Autism Spectrum Disorders > 9 (January 2015) . - p.45-52
Mots-clés : Autism Spectrum Disorder Diagnosis DSM-5 ICD-10 Screening Index. décimale : PER Périodiques Résumé : Abstract Recent research has investigated the capability of the Diagnostic and Statistical Manual for Mental Disorders (DSM-5) descriptions to identify individuals who should receive a diagnosis of Autism Spectrum Disorder (ASD) using standardised diagnostic instruments. Building on previous research investigating behaviours essential for the diagnosis of DSM-5 ASD, the current study investigated the sensitivity and specificity of a set of 14 items derived from the Diagnostic Interview for Social and Communication Disorders (DISCO Signposting set) that have potential for signposting the diagnosis of autism according to both the new DSM-5 criteria for ASD and ICD-10 criteria for Childhood Autism. An algorithm threshold for the Signposting set was calculated in Sample 1 (n = 67), tested in an independent validation sample (Sample 2; n = 78), and applied across age and ability sub-groups in Sample 3 (n = 190). The algorithm had excellent predictive validity according to best estimate clinical diagnosis (Samples 1 and 2) and excellent agreement with established algorithms for both DSM-5 and ICD-10 (all samples). The signposting set has potential to inform our understanding of the profile of ASD in relation to other neurodevelopmental disorders and to form the basis of a Signposting Interview for use in clinical practice. En ligne : http://dx.doi.org/10.1016/j.rasd.2014.10.003 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=243