Accuracy of Electronic Health Record-Derived Data for the Identification of Incident ADHD.

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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. (J. of Att. Dis. 2014; XX(X) 1-XX).

Investigators
Abbreviation
J Atten Disord
Publication Date
2014-02-07
Pubmed ID
24510475
Medium
Print-Electronic
Full Title
Accuracy of Electronic Health Record-Derived Data for the Identification of Incident ADHD.
Authors
Daley MF, Newton DA, Debar L, Newcomer SR, Pieper L, Boscarino JA, Toh S, Pawloski P, Nordin JD, Nakasato C, Herrinton LJ, Bussing R