Psychometric Properties of Questionnaires and Diagnostic Measures for Autism Spectrum Disorders in Adults: A Systematic Review

Fuente: ERIC Institute of Education Sciences

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Bibliographic Details
Main Authors:	Wigham, Sarah, Rodgers, Jacqui, Berney, Tom, Le Couteur, Ann, Ingham, Barry, Parr, Jeremy R.
Format:	Recurso educativo Open Access
Language:	en
Published:	2019
Subjects:	Psychometrics Questionnaires Diagnostic Tests Clinical Diagnosis Autism Pervasive Developmental Disorders Screening Tests Test Reliability Test Validity Accuracy Comorbidity Mental Health Intellectual Disability Observation
Online Access:	Acceder al recurso
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author	Wigham, Sarah Rodgers, Jacqui Berney, Tom Le Couteur, Ann Ingham, Barry Parr, Jeremy R.
author_facet	Wigham, Sarah Rodgers, Jacqui Berney, Tom Le Couteur, Ann Ingham, Barry Parr, Jeremy R. Wigham, Sarah Rodgers, Jacqui Berney, Tom Le Couteur, Ann Ingham, Barry Parr, Jeremy R.
collection	Education Resources Information Center
contents	Psychometric Properties of Questionnaires and Diagnostic Measures for Autism Spectrum Disorders in Adults: A Systematic Review Wigham, Sarah Rodgers, Jacqui Berney, Tom Le Couteur, Ann Ingham, Barry Parr, Jeremy R. Psychometrics Questionnaires Diagnostic Tests Clinical Diagnosis Autism Pervasive Developmental Disorders Screening Tests Test Reliability Test Validity Accuracy Comorbidity Mental Health Intellectual Disability Observation Accurately diagnosing autism spectrum disorders in adulthood can be challenging. Structured questionnaires and diagnostic measures are frequently used to assist case recognition and diagnosis. This study reviewed research evidence on structured questionnaires and diagnostic measures published since the National Institute for Health and Care Excellence evidence update. The Cochrane library, Medline, Embase and PsycINFO were searched. In all, 20 studies met inclusion criteria. Sensitivity and specificity of structured questionnaires were best for individuals with previously confirmed autism spectrum disorder diagnoses and reduced in participants referred for diagnostic assessments, with discrimination of autism spectrum disorder from mental health conditions especially limited. For adults with intellectual disability, diagnostic accuracy increased when a combination of structured questionnaires were used. Evidence suggests some utility of diagnostic measures in identifying autism spectrum disorder among clinic referrals, although specificity for diagnosis was relatively low. In mental health settings, the use of a single structured questionnaire is unlikely to accurately identify adults without autism spectrum disorder or differentiate autism spectrum disorder from mental health conditions. This is important as adults seeking an autism spectrum disorder diagnostic assessment are likely to have co-existing mental health conditions. Robust autism spectrum disorder assessment tools specifically for use in adult diagnostic health services in the presence of co-occurring mental health and neurodevelopmental disorders are a research priority.
format	Recurso educativo Open Access
id	eric_EJ1206267
institution	ERIC Institute of Education Sciences
language	en
publishDate	2019
record_format	eric
spellingShingle	Psychometric Properties of Questionnaires and Diagnostic Measures for Autism Spectrum Disorders in Adults: A Systematic Review Wigham, Sarah Rodgers, Jacqui Berney, Tom Le Couteur, Ann Ingham, Barry Parr, Jeremy R. Psychometrics Questionnaires Diagnostic Tests Clinical Diagnosis Autism Pervasive Developmental Disorders Screening Tests Test Reliability Test Validity Accuracy Comorbidity Mental Health Intellectual Disability Observation Psychometric Properties of Questionnaires and Diagnostic Measures for Autism Spectrum Disorders in Adults: A Systematic Review Wigham, Sarah Rodgers, Jacqui Berney, Tom Le Couteur, Ann Ingham, Barry Parr, Jeremy R. Psychometrics Questionnaires Diagnostic Tests Clinical Diagnosis Autism Pervasive Developmental Disorders Screening Tests Test Reliability Test Validity Accuracy Comorbidity Mental Health Intellectual Disability Observation Accurately diagnosing autism spectrum disorders in adulthood can be challenging. Structured questionnaires and diagnostic measures are frequently used to assist case recognition and diagnosis. This study reviewed research evidence on structured questionnaires and diagnostic measures published since the National Institute for Health and Care Excellence evidence update. The Cochrane library, Medline, Embase and PsycINFO were searched. In all, 20 studies met inclusion criteria. Sensitivity and specificity of structured questionnaires were best for individuals with previously confirmed autism spectrum disorder diagnoses and reduced in participants referred for diagnostic assessments, with discrimination of autism spectrum disorder from mental health conditions especially limited. For adults with intellectual disability, diagnostic accuracy increased when a combination of structured questionnaires were used. Evidence suggests some utility of diagnostic measures in identifying autism spectrum disorder among clinic referrals, although specificity for diagnosis was relatively low. In mental health settings, the use of a single structured questionnaire is unlikely to accurately identify adults without autism spectrum disorder or differentiate autism spectrum disorder from mental health conditions. This is important as adults seeking an autism spectrum disorder diagnostic assessment are likely to have co-existing mental health conditions. Robust autism spectrum disorder assessment tools specifically for use in adult diagnostic health services in the presence of co-occurring mental health and neurodevelopmental disorders are a research priority.
title	Psychometric Properties of Questionnaires and Diagnostic Measures for Autism Spectrum Disorders in Adults: A Systematic Review
topic	Psychometrics Questionnaires Diagnostic Tests Clinical Diagnosis Autism Pervasive Developmental Disorders Screening Tests Test Reliability Test Validity Accuracy Comorbidity Mental Health Intellectual Disability Observation
url	https://eric.ed.gov/?id=EJ1206267

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