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早期自闭症筛查:全面综述。

Early Autism Screening: A Comprehensive Review.

机构信息

Department of Psychology, School of Human and Health Sciences, University of Huddersfield, Huddersfield HD1 3DH, UK.

出版信息

Int J Environ Res Public Health. 2019 Sep 19;16(18):3502. doi: 10.3390/ijerph16183502.

Abstract

Autistic spectrum disorder (ASD) refers to a neurodevelopmental condition associated with verbal and nonverbal communication, social interactions, and behavioural complications that is becoming increasingly common in many parts of the globe. Identifying individuals on the spectrum has remained a lengthy process for the past few decades due to the fact that some individuals diagnosed with ASD exhibit exceptional skills in areas such as mathematics, arts, and music among others. To improve the accuracy and reliability of autism diagnoses, many scholars have developed pre-diagnosis screening methods to help identify autistic behaviours at an early stage, speed up the clinical diagnosis referral process, and improve the understanding of ASD for the different stakeholders involved, such as parents, caregivers, teachers, and family members. However, the functionality and reliability of those screening tools vary according to different research studies and some have remained questionable. This study evaluates and critically analyses 37 different ASD screening tools in order to identify possible areas that need to be addressed through further development and innovation. More importantly, different criteria associated with existing screening tools, such as accessibility, the fulfilment of () specifications, comprehensibility among the target audience, performance (specifically sensitivity, specificity, and accuracy), web and mobile availability, and popularity have been investigated.

摘要

自闭症谱系障碍 (ASD) 是一种与言语和非言语沟通、社交互动和行为并发症相关的神经发育状况,在全球许多地区变得越来越普遍。由于一些被诊断患有 ASD 的个体在数学、艺术和音乐等领域表现出非凡的技能,因此在过去几十年中,确定谱系内的个体一直是一个漫长的过程。为了提高自闭症诊断的准确性和可靠性,许多学者开发了预诊断筛选方法,以帮助在早期识别自闭症行为,加快临床诊断推荐过程,并提高不同利益相关者(如父母、照顾者、教师和家庭成员)对 ASD 的理解。然而,这些筛选工具的功能和可靠性因不同的研究而异,有些仍然存在疑问。本研究评估和批判性分析了 37 种不同的 ASD 筛选工具,以确定需要通过进一步开发和创新来解决的可能领域。更重要的是,研究调查了现有的筛选工具相关的不同标准,如可及性、满足 () 规格、目标受众的理解性、性能(特别是敏感性、特异性和准确性)、网络和移动可用性以及普及性。

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