Article

DSM-IV vs DSM-5 diagnostic criteria for toddlers with autism.

Department of Psychology, Louisiana State University, Baton Rouge, LA 70803, USA.
Developmental neurorehabilitation 06/2012; 15(3):185-90. DOI: 10.3109/17518423.2012.672341
Source: PubMed

ABSTRACT To evaluate prevalence rates of autism and autism symptomatology in toddlers using DSM-IV vs DSM-5 criteria.
Two thousand seven hundred and twenty-one toddlers at risk for a developmental disability participated. DSM-IV and DSM-5 criteria were applied and overall prevalence using each set of criteria was established. Groups were also compared on BISCUIT-Part 1 scores to determine if groups differed on autism symptomatology.
DSM-5 resulted in 47.79% fewer toddlers being diagnosed with ASD compared to those on the DSM-IV. Toddlers diagnosed according to DSM-5 exhibited greater levels of autism symptomatology than those diagnosed with DSM-IV, but the latter group still exhibited significant levels of autism symptomatology.
The proposed DSM-5 will result in far fewer persons being diagnosed with ASD. These results replicate findings from two previous studies, with older children/adolescents and adults. As a result of these new criteria, far fewer people will qualify for needed autism services.

0 Bookmarks
 · 
90 Views
  • [Show abstract] [Hide abstract]
    ABSTRACT: A growing body of research has raised concerns about the number of individuals diagnosed with autism spectrum disorder (ASD) according to DSM-IV-TR who may no longer qualify for diagnoses under the new DSM-5 criteria, published in May 2013. The current study systematically reviews 25 articles evaluating samples according to both DSM-IV-TR and DSM-5 ASD criteria. Consistent with previous reviews, the majority of included studies indicated between 50 and 75 % of individuals will maintain diagnoses. We conducted visual analyses of subgroups using harvest plots and found the greatest decreases among high-functioning populations with IQs over 70 and/or previous diagnoses of PDD-NOS or Asperger's disorder. We discuss the potential research and clinical implications of reduced numbers of individuals diagnosed with ASD.
    Journal of Autism and Developmental Disorders 03/2015; DOI:10.1007/s10803-015-2423-8 · 3.06 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    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. (C) 2014 The Authors. Published by Elsevier Ltd.
    Research in Autism Spectrum Disorders 01/2015; 9. DOI:10.1016/j.rasd.2014.10.003 · 2.96 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: Autism Spectrum Disorder (ASD) is a lifelong disability for which prevalence rates continue to increase. Persons with ASD vary widely in both severity of disability and services required. Therefore it is important to identify trends in research and evaluate progress in the field. The current study uses a journal analysis to evaluate research over a 12 year period in three prominent autism focused research journals: Focus on Autism and Other Developmental Disabilities, Autism: The International Journal of Research and Practice, and Journal of Autism and Developmental Disorders. Findings include identification of trends in research designs, sample characteristics, and interventions.
    Exceptionality 07/2014; 22(3):158-172. DOI:10.1080/09362835.2013.865532 · 0.59 Impact Factor