Evidence map›Paper›PMID 42469909›Full record

ArticleMolecular autism2026

Are items from current self-report measures adequate for assessing autistic traits in women? Insights from a modified Delphi study with autistic women and professional experts.

Nora Uglik-Marucha, Jude Fredman, Tala Al-Shurafa, Clarissa Ragrag, Francesca Happé, Hannah Belcher, Silia Vitoratou

Abstract read
In one paragraph

Article in Molecular autism, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Nora Uglik-MaruchaPsychometrics and Measurement Lab, Biostatistics and Health Informatics Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK. eleonora.uglik-marucha@kcl.ac.uk.ORCID https://orcid.org/0000-0002-9030-8732
Jude FredmanPsychometrics and Measurement Lab, Biostatistics and Health Informatics Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK.ORCID http://orcid.org/0009-0006-3768-0523
Tala Al-ShurafaPsychometrics and Measurement Lab, Biostatistics and Health Informatics Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK.ORCID http://orcid.org/0009-0008-2605-0643
Clarissa RagragPsychometrics and Measurement Lab, Biostatistics and Health Informatics Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK.
Francesca HappéSocial, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK.ORCID http://orcid.org/0000-0001-9226-4000
Hannah BelcherHealth Service and Population Research, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK.ORCID http://orcid.org/0000-0002-5738-8638
Silia VitoratouPsychometrics and Measurement Lab, Biostatistics and Health Informatics Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK.ORCID http://orcid.org/0000-0003-1209-8167

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSex/gender-related measurement bias in autism measures has been proposed as a factor contributing to the underdiagnosis of autistic women, yet research in this area remains limited. This study builds on a small but growing body of work addressing this gap by using a modified Delphi methodology to reach consensus among autistic women and academics/clinicians on the most relevant items from five measures of autistic traits: Autism Spectrum Quotient (AQ-50), Broad Autism Phenotype Questionnaire (BAPQ), Comprehensive Autistic Trait Inventory (CATI), Girls Questionnaire for Autism Spectrum Condition (GQ-ASC), and Ritvo Autism and Asperger Diagnostic Scale-14 (RAADS-14), and to evaluate each measure's suitability for autistic women in their current form.

methodsThirty-three autistic women and thirty-three academics/clinicians participated in the study. Each participant was asked to rate the relevance of individual items to the experiences of autistic women and to indicate whether each measure comprehensively captured experiences relevant to this group. Agreement was calculated separately for each group using item-level content validity indices, from which scale-level indices were derived for each measure.

resultsThe RAADS-14 was rated as the most relevant measure for assessing autistic traits in women, followed by the CATI, while the remaining questionnaires were associated with lower perceived relevance. However, none fully captured experiences relevant to autistic women, indicating construct underrepresentation. Items assessing masking were identified as valuable for inclusion to enhance the relevance of measures for women, whereas items related to attention to detail and imagination appeared less useful for assessing autism more broadly or for capturing more nuanced presentations of autistic traits. LIMITATIONS: The sample was predominantly Western, White, and highly educated, limiting the generalisability of findings. Furthermore, the expert groups lacked sufficient homogeneity, as academics and clinicians were combined and participants evaluated different subsets of measures.

conclusionsAlthough the RAADS-14 and CATI were identified as the most relevant measures for autistic women, all instruments demonstrated incomplete coverage of the autism construct in this population. Items reaching consensus as most relevant across the five measures provide a foundation for refining existing scales to better capture the experiences of individuals with more nuanced presentations of autistic traits.

Indexed as

Autistic DisorderSelf ReportAdultDelphi TechniqueFemaleHumansMiddle AgedSurveys and QuestionnairesYoung AdultAutismGender biasMeasurementPsychometrics

Identifiers

PMID42469909
PMCPMC13663005

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.