Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill.
Division of Speech and Hearing Sciences, University of North Carolina at Chapel Hill.
Perspect Psychol Sci. 2023 Nov;18(6):1492-1507. doi: 10.1177/17456916231178711. Epub 2023 Jun 14.
Autism spectrum disorders are more prevalent in children who are Deaf or Hard of Hearing (D/HH) than in the general population. This potential for diagnostic overlap underscores the importance of understanding the best approaches for assessing autism spectrum disorder in D/HH youths. Despite the recognition of clinical significance, youths who are D/HH are often identified as autistic later than individuals with normal hearing, which results in delayed access to appropriate early intervention services. Three primary barriers to early identification include behavioral phenotypic overlap, a lack of "gold-standard" screening and diagnostic tools for this population, and limited access to qualified clinicians. In the current article, we seek to address these barriers to prompt an appropriate identification of autism by providing recommendations for autism assessment in children who are D/HH from an interdisciplinary hearing and development clinic, including virtual service delivery during COVID-19. Strengths, gaps, and future directions for implementation are addressed.
自闭症谱系障碍在聋或重听(D/HH)儿童中的发病率高于普通人群。这种潜在的诊断重叠突出了理解 D/HH 青少年自闭症谱系障碍评估最佳方法的重要性。尽管认识到了临床意义,但 D/HH 青少年往往比听力正常的个体被诊断为自闭症的时间晚,这导致他们无法及时获得适当的早期干预服务。早期识别的三个主要障碍包括行为表型重叠、缺乏针对这一人群的“金标准”筛查和诊断工具,以及合格临床医生的有限获取。在当前的文章中,我们试图通过为来自跨学科听力和发育诊所的 D/HH 儿童提供自闭症评估建议来解决这些障碍,包括在 COVID-19 期间提供虚拟服务,以促使对自闭症进行适当识别。本文还讨论了实施的优势、差距和未来方向。