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Signposting for diagnosis of Autism Spectrum Disorder using the Diagnostic Interview for Social and Communication Disorders (DISCO)

Lookup NU author(s): Professor Ann Le Couteur, Dr Susan Leekham



This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


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 ASD using standardised diagnostic instruments. Building on research investigating behaviours essential to 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 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.

Publication metadata

Author(s): Carrington S, Leekam SR, Kent RG, Jarymke M, Gould J, Wing L, Le Couteur A, Van Berckelaer-Onnes I, Noens I

Publication type: Article

Publication status: Published

Journal: Research in Autism Spectrum Disorders

Year: 2015

Volume: 9

Pages: 45-52

Print publication date: 01/01/2015

Online publication date: 27/10/2014

Acceptance date: 03/10/2014

Date deposited: 15/12/2015

ISSN (print): 1750-9467

ISSN (electronic): 1878-0237

Publisher: Elsevier


DOI: 10.1016/j.rasd.2014.10.003


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