Article Document Academic Article Information Content Entity Continuant Continuant Journal Article Entity Entity Generically Dependent Continuant 2025-05-07T12:18:02 RDF description of Accuracy of electronic health record-derived data for the identification of incident ADHD - http://repository.healthpartners.com/individual/document-rn467 5 public Drugs and Drug Therapy Retrospective Studies document-rn467 Medical Records Systems, Computerized 21 Accuracy of electronic health record-derived data for the identification of incident ADHD Pediatrics 12874 10.1177/1087054713520616 Mental Disorders <p>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.<p> 20328 Comparative Studies 2022-02-21T22:48:57.408-06:00