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Validation of Autism Spectrum Disorder Diagnoses in Large Healthcare Systems with Electronic Medical Records

机译:具有电子病历的大型医疗保健系统中自闭症谱系障碍诊断的验证

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摘要

To identify factors associated with valid Autism Spectrum Disorder (ASD) diagnoses from electronic sources in large healthcare systems. We examined 1,272 charts from ASD diagnosed youth < 18 years old. Expert reviewers classified diagnoses as confirmed, probable, possible, ruled out, or not enough information. A total of 845 were classified with 81 % as a confirmed, probable, or possible ASD diagnosis. The predictors of valid ASD diagnoses were > 2 diagnoses in the medical record (OR 2.94; 95 % CI 2.03-4.25; p < 0.001) and being male (OR 1.51; 95 % CI 1.05-2.17; p = 0.03). In large integrated healthcare settings, at least two diagnoses can be used to identify ASD patients for population-based research.
机译:从大型医疗保健系统中的电子源中识别与有效的自闭症谱系障碍(ASD)诊断相关的因素。我们检查了来自ASD的18岁以下青年的1,272张图表。专家审阅者将诊断分类为已确认,可能,可能,已排除或信息不足。总计845例被分类为已确诊,可能或可能的ASD诊断的患者占81%。有效ASD诊断的预测因素是病历中诊断为> 2(OR 2.94; 95%CI 2.03-4.25; p <0.001),并且是男性(OR 1.51; 95%CI 1.05-2.17; p = 0.03)。在大型综合医疗机构中,至少可以使用两个诊断来识别ASD患者,以进行基于人群的研究。

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