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Auteur S. WIGHAM |
Documents disponibles écrits par cet auteur (2)
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Measurement properties of tools used to assess depression in adults with and without autism spectrum conditions: A systematic review / Sarah A. CASSIDY in Autism Research, 11-5 (May 2018)
[article]
Titre : Measurement properties of tools used to assess depression in adults with and without autism spectrum conditions: A systematic review Type de document : Texte imprimé et/ou numérique Auteurs : Sarah A. CASSIDY, Auteur ; Louise BRADLEY, Auteur ; E. BOWEN, Auteur ; S. WIGHAM, Auteur ; J. RODGERS, Auteur Article en page(s) : p.738-754 Langues : Anglais (eng) Mots-clés : autism spectrum condition general population Asperger syndrome depression measurement properties assessment systematic review COSMIN Index. décimale : PER Périodiques Résumé : Depression is the most commonly experienced mental health condition in adults with autism spectrum conditions (ASC). However, it is unclear what tools are currently being used to assess depression in ASC, or whether tools need to be adapted for this group. This systematic review therefore aimed to identify tools used to assess depression in adults with and without ASC, and then evaluate these tools for their appropriateness and measurement properties. Medline, PsychINFO and Web of Knowledge were searched for studies of depression in: (a) adults with ASC, without co?morbid intellectual disability; and (b) adults from the general population without co?morbid conditions. Articles examining the measurement properties of these tools were then searched for using a methodological filter in PubMed, and the quality of the evidence was evaluated using the COSMIN checklist. Twelve articles were identified which utilized three tools to assess depression in adults with ASC, but only one article which assessed the measurement properties of one of these tools was identified and thus evaluated. Sixty?four articles were identified which utilized five tools to assess depression in general population adults, and fourteen articles had assessed the measurement properties of these tools. Overall, two tools were found to be robust in their measurement properties in the general population?the Beck Depression Inventory (BDI?II), and the patient health questionnaire (PHQ?9). Crucially only one study was identified from the COSMIN search, which showed weak evidence in support of the measurement properties of the BDI?II in an ASC sample. Implications for effective measurement of depression in ASC are discussed. Autism Res 2018, 11: 738?754. ? 2018 The Authors Autism Research published by International Society for Autism Research and Wiley Periodicals, Inc. Lay Summary Depression is the most common mental health problem experienced by adults with autism. However, the current study found very limited evidence regarding how useful tools developed for the general population are for adults with autism. We therefore suggest how these tools could be adapted to more effectively assess depression in adults with autism, and improve these individuals access to mental health assessment and support. En ligne : https://doi.org/10.1002/aur.1922 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=363
in Autism Research > 11-5 (May 2018) . - p.738-754[article] Measurement properties of tools used to assess depression in adults with and without autism spectrum conditions: A systematic review [Texte imprimé et/ou numérique] / Sarah A. CASSIDY, Auteur ; Louise BRADLEY, Auteur ; E. BOWEN, Auteur ; S. WIGHAM, Auteur ; J. RODGERS, Auteur . - p.738-754.
Langues : Anglais (eng)
in Autism Research > 11-5 (May 2018) . - p.738-754
Mots-clés : autism spectrum condition general population Asperger syndrome depression measurement properties assessment systematic review COSMIN Index. décimale : PER Périodiques Résumé : Depression is the most commonly experienced mental health condition in adults with autism spectrum conditions (ASC). However, it is unclear what tools are currently being used to assess depression in ASC, or whether tools need to be adapted for this group. This systematic review therefore aimed to identify tools used to assess depression in adults with and without ASC, and then evaluate these tools for their appropriateness and measurement properties. Medline, PsychINFO and Web of Knowledge were searched for studies of depression in: (a) adults with ASC, without co?morbid intellectual disability; and (b) adults from the general population without co?morbid conditions. Articles examining the measurement properties of these tools were then searched for using a methodological filter in PubMed, and the quality of the evidence was evaluated using the COSMIN checklist. Twelve articles were identified which utilized three tools to assess depression in adults with ASC, but only one article which assessed the measurement properties of one of these tools was identified and thus evaluated. Sixty?four articles were identified which utilized five tools to assess depression in general population adults, and fourteen articles had assessed the measurement properties of these tools. Overall, two tools were found to be robust in their measurement properties in the general population?the Beck Depression Inventory (BDI?II), and the patient health questionnaire (PHQ?9). Crucially only one study was identified from the COSMIN search, which showed weak evidence in support of the measurement properties of the BDI?II in an ASC sample. Implications for effective measurement of depression in ASC are discussed. Autism Res 2018, 11: 738?754. ? 2018 The Authors Autism Research published by International Society for Autism Research and Wiley Periodicals, Inc. Lay Summary Depression is the most common mental health problem experienced by adults with autism. However, the current study found very limited evidence regarding how useful tools developed for the general population are for adults with autism. We therefore suggest how these tools could be adapted to more effectively assess depression in adults with autism, and improve these individuals access to mental health assessment and support. En ligne : https://doi.org/10.1002/aur.1922 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=363 Psychometric properties of questionnaires and diagnostic measures for autism spectrum disorders in adults: A systematic review / S. WIGHAM in Autism, 23-2 (February 2019)
[article]
Titre : Psychometric properties of questionnaires and diagnostic measures for autism spectrum disorders in adults: A systematic review Type de document : Texte imprimé et/ou numérique Auteurs : S. WIGHAM, Auteur ; J. RODGERS, Auteur ; Tom BERNEY, Auteur ; A. LE COUTEUR, Auteur ; B. INGHAM, Auteur ; Jeremy R. PARR, Auteur Article en page(s) : p.287-305 Langues : Anglais (eng) Mots-clés : autism spectrum disorders diagnosis review screening Index. décimale : PER Périodiques Résumé : 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. En ligne : http://dx.doi.org/10.1177/1362361317748245 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=383
in Autism > 23-2 (February 2019) . - p.287-305[article] Psychometric properties of questionnaires and diagnostic measures for autism spectrum disorders in adults: A systematic review [Texte imprimé et/ou numérique] / S. WIGHAM, Auteur ; J. RODGERS, Auteur ; Tom BERNEY, Auteur ; A. LE COUTEUR, Auteur ; B. INGHAM, Auteur ; Jeremy R. PARR, Auteur . - p.287-305.
Langues : Anglais (eng)
in Autism > 23-2 (February 2019) . - p.287-305
Mots-clés : autism spectrum disorders diagnosis review screening Index. décimale : PER Périodiques Résumé : 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. En ligne : http://dx.doi.org/10.1177/1362361317748245 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=383