Hostname: page-component-586b7cd67f-dsjbd Total loading time: 0 Render date: 2024-11-30T00:53:32.562Z Has data issue: false hasContentIssue false
  • English
  • Français

Gender balance in the validation of diagnostic tools for autism: A systematic review

Published online by Cambridge University Press:  13 August 2021

R. Murphy Lonergan
R. Murphy Lonergan*
Affiliation:
Edinburgh Medical School, University of Edinburgh, Edinburgh, United Kingdom

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Introduction

Autism is a neurodevelopmental disorder that is considered more common in males; however, ascertainment estimates of ASD in the UK population suggest a significant proportion of female cases of ASD go unrecognised and undiagnosed. This review examines whether the apparent underdiagnosis of girls may be attributed to gender sampling bias in the validation of diagnostic instruments routinely used to diagnose autism.

Objectives

To compare the gender ratio in validation samples of commonly used diagnostic tools for autism to estimates of the gender distribution of children with autism in the UK population

Methods

A review of diagnostic tool manuals and a targeted literature search identified the gender of sample participants used to validate tools used by Scottish ASD services. Analysis of validation samples compared the mean percentage of female participants with ASD to estimates of the proportion of girls with ASD in the UK population.

Results

Data on 7 tools was extracted. The mean percentage of female sample participants with ASD was significantly lower than the ascertainment estimate of females with ASD in the UK population (p=0.010, t(6)=-3.67) and significantly lower than the mean percentage of females in comparison groups (p=0.010, t(12)=-3.06).

Conclusions

There is low representation of females in validity samples of tools, which may reduce their sensitivity to the female phenotype and contribute to diagnostic disparities. Future research is warranted on why instruments are poorer detectors of ASD in girls and how female features of ASD could be better represented in their structure.

Keywords

autismASDGendergirls
Type
Abstract
Information
European Psychiatry , Volume 64 , Special Issue S1: Abstracts of the 29th European Congress of Psychiatry , April 2021 , pp. S599
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of the European Psychiatric Association
Submit a response

Comments

No Comments have been published for this article.