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

Sarah Carrington, Susan Leekam, Rachel Kent, Jarymke Maljaars, Judith Gould, Lorna Wing, Ann Le Couteur, Ina van Berckelaer-Onnes, Ilse Noens

    Research output: Contribution to journalArticle

    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.

    LanguageEnglish
    Pages45-52
    Number of pages8
    JournalResearch in autism spectrum disorders
    Volume9
    Early online date6 Nov 2014
    DOIs
    Publication statusPublished - Jan 2015

    Fingerprint

    Interviews
    International Classification of Diseases
    Autistic Disorder
    Aptitude
    Research
    Diagnostic and Statistical Manual of Mental Disorders
    Sensitivity and Specificity
    Autism Spectrum Disorder
    Social Communication Disorder
    Neurodevelopmental Disorders

    Bibliographical note

    © 2014 The Authors. Published by Elsevier Ltd. This is an open access article under
    the CC BY license (http://creativecommons.org/licenses/by/3.0/).

    Funding: Wales Autism Research Centre led by Autism Cymru; Autistica; and ESRC PhD studentship award (ES/GO39399/1).

    Keywords

    • Autism Spectrum
    • Diagnosis
    • Disorder
    • DSM-5
    • ICD-10
    • Screening

    Cite this

    Carrington, Sarah ; Leekam, Susan ; Kent, Rachel ; Maljaars, Jarymke ; Gould, Judith ; Wing, Lorna ; Le Couteur, Ann ; van Berckelaer-Onnes, Ina ; Noens, Ilse. / Signposting for diagnosis of Autism Spectrum Disorder using the Diagnostic Interview for Social and Communication Disorders (DISCO). In: Research in autism spectrum disorders. 2015 ; Vol. 9. pp. 45-52.
    @article{048ea7bf801d42d88989991eeb385307,
    title = "Signposting for diagnosis of Autism Spectrum Disorder using the Diagnostic Interview for Social and Communication Disorders (DISCO)",
    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.",
    keywords = "Autism Spectrum, Diagnosis, Disorder, DSM-5, ICD-10, Screening",
    author = "Sarah Carrington and Susan Leekam and Rachel Kent and Jarymke Maljaars and Judith Gould and Lorna Wing and {Le Couteur}, Ann and {van Berckelaer-Onnes}, Ina and Ilse Noens",
    note = "{\circledC} 2014 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/3.0/). Funding: Wales Autism Research Centre led by Autism Cymru; Autistica; and ESRC PhD studentship award (ES/GO39399/1).",
    year = "2015",
    month = "1",
    doi = "10.1016/j.rasd.2014.10.003",
    language = "English",
    volume = "9",
    pages = "45--52",
    journal = "Research in autism spectrum disorders",
    issn = "1750-9467",
    publisher = "Elsevier",

    }

    Signposting for diagnosis of Autism Spectrum Disorder using the Diagnostic Interview for Social and Communication Disorders (DISCO). / Carrington, Sarah; Leekam, Susan; Kent, Rachel; Maljaars, Jarymke; Gould, Judith; Wing, Lorna; Le Couteur, Ann; van Berckelaer-Onnes, Ina; Noens, Ilse.

    In: Research in autism spectrum disorders, Vol. 9, 01.2015, p. 45-52.

    Research output: Contribution to journalArticle

    TY - JOUR

    T1 - Signposting for diagnosis of Autism Spectrum Disorder using the Diagnostic Interview for Social and Communication Disorders (DISCO)

    AU - Carrington, Sarah

    AU - Leekam, Susan

    AU - Kent, Rachel

    AU - Maljaars, Jarymke

    AU - Gould, Judith

    AU - Wing, Lorna

    AU - Le Couteur, Ann

    AU - van Berckelaer-Onnes, Ina

    AU - Noens, Ilse

    N1 - © 2014 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/3.0/). Funding: Wales Autism Research Centre led by Autism Cymru; Autistica; and ESRC PhD studentship award (ES/GO39399/1).

    PY - 2015/1

    Y1 - 2015/1

    N2 - 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.

    AB - 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.

    KW - Autism Spectrum

    KW - Diagnosis

    KW - Disorder

    KW - DSM-5

    KW - ICD-10

    KW - Screening

    UR - http://www.scopus.com/inward/record.url?scp=84908328229&partnerID=8YFLogxK

    U2 - 10.1016/j.rasd.2014.10.003

    DO - 10.1016/j.rasd.2014.10.003

    M3 - Article

    VL - 9

    SP - 45

    EP - 52

    JO - Research in autism spectrum disorders

    T2 - Research in autism spectrum disorders

    JF - Research in autism spectrum disorders

    SN - 1750-9467

    ER -