Your browser doesn't support javascript.
loading
Protocol for a systematic review evaluating psychometric properties and gender-related measurement (non)invariance of self-report assessment tools for autism in adults.
Uglik-Marucha, Nora; Mason, David; Belcher, Hannah; Happé, Francesca; Vitoratou, Silia.
Afiliación
  • Uglik-Marucha N; Psychometrics and Measurement Lab, Biostatistics and Health Informatics Department, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, SE5 8AF, UK. eleonora.uglik-marucha@kcl.ac.uk.
  • Mason D; Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, SE5 8AF, UK.
  • Belcher H; Health Service and Population Research, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, SE5 8AF, UK.
  • Happé F; Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, SE5 8AF, UK.
  • Vitoratou S; Psychometrics and Measurement Lab, Biostatistics and Health Informatics Department, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, SE5 8AF, UK.
Syst Rev ; 13(1): 188, 2024 Jul 19.
Article en En | MEDLINE | ID: mdl-39030636
ABSTRACT

BACKGROUND:

Given the recent evidence on gender differences in the presentation of autism, there is an increasing concern that current tools for autism do not adequately capture traits more often found in women. If tools for autism measure autistic traits differently based on gender alone, their validity may be compromised as they may not be measuring the same construct across genders. Measurement invariance investigations of autism measures can help assess the validity of autism constructs for different genders. The aim of this systematic review is to identify and critically appraise the psychometric properties of all self-report tools for autism in adults that meet two criteria (a) they have been published since or included in the NICE (2014) recommendations, and (b) they have undergone gender-related measurement invariance investigations as part of their validation process.

METHODS:

A search of electronic databases will be conducted from 2014 until the present using MEDLINE, Embase, and PsycINFO using predefined search terms to identify eligible studies. The search for grey literature will include sources such as OpenGrey, APA PsycEXTRA, and Scopus. Two reviewers will independently screen titles, abstracts, and full texts for eligibility. The references of included studies will be searched for additional records. The methodological quality of the studies will be evaluated using the COSMIN Risk of Bias checklist, while psychometric quality of findings will be assessed based on criteria for good measurement properties and ConPsy checklist. The quality of the total body of evidence will be appraised using the approach outlined in the modified GRADE guidelines.

DISCUSSION:

This systematic review will be among the first to assess the psychometric properties and gender-related measurement invariance of self-reported measures for autism in adults that were published since (or included in) NICE (2014) guidelines. The review will provide recommendations for the most suitable tool to assess for autism without gender bias. If no such measure is found, it will identify existing tools with promising psychometric properties that require further testing, or suggest developing a new measure. SYSTEMATIC REVIEW REGISTRATION The protocol has been registered at the International Prospective Register of Systematic Reviews (PROSPERO). The registration number is CRD42023429350.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Psicometría / Trastorno Autístico / Autoinforme / Revisiones Sistemáticas como Asunto Límite: Adult / Female / Humans / Male Idioma: En Revista: Syst Rev Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Psicometría / Trastorno Autístico / Autoinforme / Revisiones Sistemáticas como Asunto Límite: Adult / Female / Humans / Male Idioma: En Revista: Syst Rev Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido
...