Accuracy of Electronic Health Record-Derived Data for the Identification of Incident ADHD
Accuracy of Electronic Health Record-Derived Data for the Identification of Incident ADHD
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DOI：
10.1177/1087054713520616
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发表时间：
2017-05-01
影响因子：
3
通讯作者：
Bussing, Regina
中科院分区：
文献类型：
--
作者：
Daley, Matthew F.;Newton, Douglas A.;Bussing, Regina
目的：评估电子健康记录（EHR）衍生诊断在识别儿童事件（即，新诊断的ADHD。方法：在10个大型医疗保健组织中，使用电子诊断数据来识别3至9岁儿童中所有可能的ADHD事件。人工审查记录的随机样本，以确定临床医生笔记中是否记录了ADHD的诊断。结果：从电子诊断数据中，共识别出7，362名ADHD儿童。在手动审查500份记录后，临床医生记录中确认了71.5%（95%置信区间[CI] = [56.5，86.4]）的3- 5岁儿童记录和73.6%（95% CI = [65.6，81.6]）的6- 9岁儿童记录的ADHD事件诊断。结论：基于ADHD事件识别的研究需要仔细考虑研究设计，以尽量减少病例错误分类的可能性。
Objective: To assess the accuracy of electronic health record (EHR)-derived diagnoses in identifying children with incident (i.e., newly diagnosed) ADHD. Method: In 10 large health care organizations, electronic diagnoses data were used to identify all potential cases of incident ADHD among 3-through 9-year-old children. A random sample of records was manually reviewed to determine whether a diagnosis of ADHD was documented in clinician notes. Results: From electronic diagnoses data, a total of 7,362 children with incident ADHD were identified. Upon manual review of 500 records, the diagnosis of incident ADHD was confirmed in clinician notes for 71.5% (95% confidence interval [CI] = [56.5, 86.4]) of records for 3-through 5-year-old children and 73.6% (95% CI = [65.6, 81.6]) of records for 6-through 9-year-old children. Conclusion: Studies predicated on the identification of incident ADHD cases will need to carefully consider study designs that minimize the likelihood of case misclassification.