Literature DB >> 30972651

Brief Report: An Evaluation of the Social Communication Questionnaire as a Screening Tool for Autism Spectrum Disorder in Young People Referred to Child & Adolescent Mental Health Services.

Matthew J Hollocks1,2, Roland Casson3, Clare White3, Jess Dobson3, Peter Beazley4, Ayla Humphrey3,5.   

Abstract

The SCQ is a widely used screening measure for the assessment of autism spectrum disorder (ASD). However, its sensitivity and specificity when used with older children in the context of community Child & Adolescent Mental Health services is unclear. Seventy-seven (Mean age = 12.8 years) young people with suspected ASD were screened using parent- and teacher-reported SCQ's before completing a comprehensive diagnostic assessment. Of the 77 young people included, 44 (57%) met criteria for an ASD diagnosis. Our results indicated that regardless of informant, SCQ scores did not significantly predict the outcome of the diagnostic assessment. Based on the published cut-off score for the SCQ, Receiver Operating Characteristic curve analyses revealed a lower than expected sensitivity and specificity. This suggests that the SCQ is not an effective screening tool when used in the context of community Child & Adolescent Mental Health services.

Entities:  

Keywords:  Adolescent; Assessment; Autism spectrum disorder; Mental health services; Questionnaires; Sensitivity

Mesh:

Year:  2019        PMID: 30972651     DOI: 10.1007/s10803-019-03982-6

Source DB:  PubMed          Journal:  J Autism Dev Disord        ISSN: 0162-3257


  18 in total

1.  Sensitivity and specificity of the Modified Checklist for Autism in Toddlers and the Social Communication Questionnaire in preschoolers suspected of having pervasive developmental disorders.

Authors:  Anne V Snow; Luc Lecavalier
Journal:  Autism       Date:  2008-11

2.  The Strengths and Difficulties Questionnaire: a research note.

Authors:  R Goodman
Journal:  J Child Psychol Psychiatry       Date:  1997-07       Impact factor: 8.982

3.  The autism diagnostic observation schedule, module 4: revised algorithm and standardized severity scores.

Authors:  Vanessa Hus; Catherine Lord
Journal:  J Autism Dev Disord       Date:  2014-08

4.  A meta-analysis of the social communication questionnaire: Screening for autism spectrum disorder.

Authors:  Steven R Chesnut; Tianlan Wei; Lucy Barnard-Brak; David M Richman
Journal:  Autism       Date:  2016-08-07

5.  Ruling out or ruling in disease with the most sensitive or specific diagnostic test: short cut or wrong turn?

Authors:  E J Boyko
Journal:  Med Decis Making       Date:  1994 Apr-Jun       Impact factor: 2.583

6.  The autism diagnostic observation schedule-generic: a standard measure of social and communication deficits associated with the spectrum of autism.

Authors:  C Lord; S Risi; L Lambrecht; E H Cook; B L Leventhal; P C DiLavore; A Pickles; M Rutter
Journal:  J Autism Dev Disord       Date:  2000-06

7.  Autism Diagnostic Interview-Revised: a revised version of a diagnostic interview for caregivers of individuals with possible pervasive developmental disorders.

Authors:  C Lord; M Rutter; A Le Couteur
Journal:  J Autism Dev Disord       Date:  1994-10

8.  Psychiatric disorders in children with autism spectrum disorders: prevalence, comorbidity, and associated factors in a population-derived sample.

Authors:  Emily Simonoff; Andrew Pickles; Tony Charman; Susie Chandler; Tom Loucas; Gillian Baird
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2008-08       Impact factor: 8.829

9.  Development of the Children's Communication Checklist (CCC): a method for assessing qualitative aspects of communicative impairment in children.

Authors:  D V Bishop
Journal:  J Child Psychol Psychiatry       Date:  1998-09       Impact factor: 8.982

10.  Efficacy of three screening instruments in the identification of autistic-spectrum disorders.

Authors:  Tony Charman; Gillian Baird; Emily Simonoff; Tom Loucas; Susie Chandler; David Meldrum; Andrew Pickles
Journal:  Br J Psychiatry       Date:  2007-12       Impact factor: 9.319

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