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修改用于早期自闭症筛查的一般社会情感测量方法。

Modifying a general social-emotional measure for early autism screening.

作者信息

Dolata Jill K, Sanford-Keller Hannah, Squires Jane

机构信息

Department of Pediatrics, Oregon Health & Science University, Portland, OR, USA.

Department of Special Education & Clinical Sciences, University of Oregon, Eugene, OR, USA.

出版信息

Int J Dev Disabil. 2019 Mar 5;66(4):296-303. doi: 10.1080/20473869.2019.1577024.

Abstract

Broadband social-emotional screening tools are designed to evaluate a child's social development and interactions. Such tools are expected to have reasonable sensitivity for identifying children at risk for autism spectrum disorder (ASD) but would also likely over-estimate risk for ASD since other conditions can also affect social development. In this study, a subset of ASD items from one general social-emotional screening measure, the Ages & Stages Questionnaires: Social Emotional, 2nd edition, was analyzed to determine if use of an ASD subscale might improve prediction of ASD risk for young children. The ASD subscale was used with 60 families who had a child referred for an ASD evaluation. Social-emotional screening and ASD screening results were compared with the subsequent results from gold-standard diagnostic testing for ASD at a regional autism center, using contingency matrices. As expected, the social-emotional screening tool identified nearly all of the children in the high-risk clinical sample. Use of the ASD subscale increased specificity for ASD (from 4% to 52%) and demonstrated correct prediction of ASD diagnosis in 70% of ASD cases. These preliminary results suggest that using a subset of ASD-specific items on a social-emotional screening tool can increase the tool's specificity for ASD, by isolating ASD-specific concerns.

摘要

宽带社会情感筛查工具旨在评估儿童的社交发展和互动情况。这类工具预计对识别自闭症谱系障碍(ASD)风险儿童具有合理的敏感性,但也可能高估ASD风险,因为其他情况也会影响社交发展。在本研究中,对一种通用社会情感筛查量表《年龄与阶段问卷:社会情感,第2版》中的一部分ASD项目进行了分析,以确定使用ASD分量表是否能改善对幼儿ASD风险的预测。该ASD分量表应用于60个有孩子被转诊进行ASD评估的家庭。使用列联表,将社会情感筛查和ASD筛查结果与地区自闭症中心随后进行的ASD金标准诊断测试结果进行比较。正如预期的那样,社会情感筛查工具识别出了高风险临床样本中几乎所有的儿童。使用ASD分量表提高了ASD的特异性(从4%提高到52%),并在70%的ASD病例中正确预测了ASD诊断。这些初步结果表明,在社会情感筛查工具上使用一部分ASD特定项目,通过分离ASD特定问题,可以提高该工具对ASD的特异性。

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