Suppr超能文献

使用 LENA 自闭症筛查工具对聋儿或听障儿童进行评估。

Use of the LENA Autism Screen with Children who are Deaf or Hard of Hearing.

机构信息

Department of Speech & Hearing Sciences, Elson S. Floyd College of Medicine, Washington State University, Spokane, WA 99202, USA.

Hearing Oral Program of Excellence (HOPE), Spokane, WA 99202, USA.

出版信息

Medicina (Kaunas). 2019 Aug 16;55(8):495. doi: 10.3390/medicina55080495.

Abstract

: This systematic review reports the evidence from the literature concerning the potential for using an automated vocal analysis, the Language ENvironment Analysis (LENA, LENA Research Foundation, Boulder, CO, USA) in the screening process for children at risk for autism spectrum disorder (ASD) and deaf or hard of hearing (D/HH). ASD and D/HH have increased comorbidity, but current behavioral diagnostic and screening tools have limitations. The LENA Language Autism Screen (LLAS) may offer an additional tool to disambiguate ASD from D/HH in young children. We examine empirical reports that use automatic vocal analysis methods to differentiate disordered from typically developing children. Consensus across the sampled scientific literature shows support for use of automatic methods for screening and disambiguation of children with ASD and D/HH. There is some evidence of vocal differentiation between ASD, D/HH, and typically-developing children warranting use of the LLAS, but additional empirical evidence is needed to better understand the strengths and weaknesses of the tool. The findings reported here warrant further, more substantive, methodologically-sound research that is fully powered to show a reliable difference. Findings may be useful for both clinicians and researchers in better identification and understanding of communication disorders.

摘要

这篇系统综述报告了文献中关于使用自动化语音分析(语言环境分析系统,LENA,博尔德,美国科罗拉多州 LENA 研究基金会)进行自闭症谱系障碍(ASD)和聋或重听(D/HH)风险儿童筛查的潜在证据。ASD 和 D/HH 的共病率增加,但目前的行为诊断和筛查工具存在局限性。LENA 语言自闭症筛查(LLAS)可能为区分 ASD 和 D/HH 提供额外的工具。我们检查了使用自动语音分析方法来区分障碍儿童和正常发育儿童的实证报告。样本科学文献中的共识支持使用自动方法对 ASD 和 D/HH 儿童进行筛查和区分。有一些证据表明,ASD、D/HH 和正常发育儿童的声音存在差异,这证明了使用 LLAS 的合理性,但需要更多的实证证据来更好地理解该工具的优缺点。这里报告的发现需要进一步、更实质性、方法更健全的研究,以充分显示可靠的差异。这些发现可能对临床医生和研究人员在更好地识别和理解沟通障碍方面都有帮助。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验