Validation of the Use of Electronic Health Records for Classification of ADHD Status.

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TitleValidation of the Use of Electronic Health Records for Classification of ADHD Status.
Publication TypeJournal Article
Year of Publication2016
AuthorsGruschow, SM, Yerys, BE, Power, TJ, Durbin, DR, Curry, AE
JournalJ Atten Disord
Pagination1087054716672337
Date Published2016 Oct 01
ISSN1557-1246
Abstract

OBJECTIVE: To validate an electronic health record (EHR)-based algorithm to classify ADHD status of pediatric patients.

METHOD: As part of an applied study, we identified all primary care patients of The Children's Hospital of Philadelphia [CHOP] health care network who were born 1987-1995 and residents of New Jersey. Patients were classified with ADHD if their EHR indicated an International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) diagnosis code of "314.x" at a clinical visit or on a list of known conditions. We manually reviewed EHRs for ADHD patients ( n = 2,030) and a random weighted sample of non-ADHD patients ( n = 807 of 13,579) to confirm the presence or absence of ADHD.

RESULTS: Depending on assumptions for inconclusive cases, sensitivity ranged from 0.96 to 0.97 (95% confidence interval [CI] = [0.95, 0.97]), specificity from 0.98 to 0.99 [0.97, 0.99], and positive predictive value from 0.83 to 0.98 [0.81, 0.99].

CONCLUSION: EHR-based diagnostic codes can accurately classify ADHD status among pediatric patients and can be used by large-scale epidemiologic and clinical studies with high sensitivity and specificity.

DOI10.1177/1087054716672337
Alternate JournalJ Atten Disord
PubMed ID28112025
PubMed Central IDPMC5843549
Grant ListR01 HD079398 / HD / NICHD NIH HHS / United States
U54 HD086984 / HD / NICHD NIH HHS / United States