The Autism Diagnostic Observation Schedule-Generic: A standard measure of social and communication deficits associated with the spectrum of autism
The Autism Diagnostic Observation Schedule-Generic: A standard measure of social and communication deficits associated with the spectrum of autism
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DOI：
10.1023/a:1005592401947
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发表时间：
2000-06-01
影响因子：
3.9
通讯作者：
Rutter, M
中科院分区：
文献类型：
--
作者：
Lord, C;Risi, S;Rutter, M
孤独症诊断观察量表通用版（ADOS - G）是一种半结构化的标准化评估工具，用于评估疑似患有孤独症谱系障碍的个体的社交互动、沟通、游戏以及对材料的想象性使用情况。该观察量表由四个30分钟的模块组成，每个模块根据个体的表达性语言水平设计用于不同的个体。文中呈现了223名患有孤独症（自闭症）、未特定的广泛性发育障碍（PDDNOS）或非谱系诊断的儿童和成人的心理测量数据。在每个模块中，诊断组在表达性语言水平上是相当的。结果表明，单个项目具有较高的评分者间信度和重测信度，各领域内评分者间信度极佳，内部一致性也极佳。均值比较表明，孤独症和PDDNOS与非谱系个体之间存在一致的区分，孤独症与PDDNOS之间存在一些区分，但一致性较差。通过对《精神疾病诊断与统计手册》第四版/《国际疾病分类》第十版标准的先验操作化、因子分析以及受试者工作特征曲线来生成诊断算法，并设定了孤独症以及更广泛的孤独症谱系/PDD的阈值。相对于非谱系障碍，该算法对孤独症和PDDNOS的敏感度和特异度都很高，孤独症与PDDNOS之间有中等程度的区分。
The Autism Diagnostic Observation Schedule-Generic (ADOS-G) is a semistructured, standardized assessment of social interaction, communication, play, and imaginative use of materials for individuals suspected of having autism spectrum disorders. The observational schedule consists of four 30-minute modules, each designed to be administered to different individuals according to their level of expressive language. Psychometric data are presented for 223 children and adults with Autistic Disorder (autism), Pervasive Developmental Disorder Not Otherwise Specified (PDDNOS) or nonspectrum diagnoses. Within each module, diagnostic groups were equivalent on expressive language level. Results indicate substantial interrater and test-retest reliability for individual items, excellent interrater reliability within domains and excellent internal consistency. Comparisons of means indicated consistent differentiation of autism and PDDNOS from nonspectrum individuals, with some, but less consistent, differentiation of autism from PDDNOS. A priori operationalization of DSM-IV/ICD-10 criteria, factor analyses, and ROC curves were used to generate diagnostic algorithms with thresholds set for autism and broader autism spectrum/PDD. Algorithm sensitivities and specificities for autism and PDDNOS relative to nonspectrum disorders were excellent, with moderate differentiation of autism from PDDNOS.