Stability of Initial Autism Spectrum Disorder Diagnoses in Community Settings
Stability of Initial Autism Spectrum Disorder Diagnoses in Community Settings
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DOI：
10.1007/s10803-010-1031-x
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发表时间：
2011-01-01
影响因子：
3.9
通讯作者：
Law, Paul A.
中科院分区：
文献类型：
--
作者：
Daniels, Amy M.;Rosenberg, Rebecca E.;Law, Paul A.
该研究的目的是评估社区环境中最初自闭症谱系障碍（ASD）诊断的诊断稳定性，并使用国家基于网络的自闭症登记处的数据确定与诊断不稳定性相关的因素。考克斯比例风险模型被用来评估作为人口统计学特征，诊断亚型，环境因素和自然史的函数的初始ASD诊断的变化的相对风险。孤独症是最稳定的初步诊断;广泛性发育障碍-没有另外说明是最不稳定的。其他因素，如诊断临床医生，地区，当一个孩子最初被诊断，自闭症回归的历史也显着相关的诊断稳定性在社区设置。研究结果表明，目前的分类系统和其他长期因素可能会增加社区分配的ASD标签的不稳定性。
The study's objectives were to assess diagnostic stability of initial autism spectrum disorder (ASD) diagnoses in community settings and identify factors associated with diagnostic instability using data from a national Web-based autism registry. A Cox proportional hazards model was used to assess the relative risk of change in initial ASD diagnosis as a function of demographic characteristics, diagnostic subtype, environmental factors and natural history. Autistic disorder was the most stable initial diagnosis; pervasive developmental disorder-not otherwise specified was the least stable. Additional factors such as diagnosing clinician, region, when in time a child was initially diagnosed, and history of autistic regression also were significantly associated with diagnostic stability in community settings. Findings suggest that the present classification system and other secular factors may be contributing to increasing instability of community-assigned labels of ASD.