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J Atten Disord. 2017 Mar;21(5):416-425. doi: 10.1177/1087054713520616. Epub 2014 Jan 1.

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

Author information

1
1 Kaiser Permanente Colorado, Denver, CO, USA.
2
2 University of Colorado, Aurora, CO, USA.
3
3 Kaiser Permanente Northwest, Portland, OR, USA.
4
4 Geisinger Health System, Geisinger, PA, USA.
5
5 Harvard Medical School, Boston, MA, USA.
6
6 HealthPartners Institute for Education and Research, Minneapolis, MN, USA.
7
7 Kaiser Permanente Hawaii, Honolulu, HI, USA.
8
8 Kaiser Permanente Northern California, Oakland, CA, USA.
9
9 University of Florida, Gainesville, FL, USA.

Abstract

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.

KEYWORDS:

ADHD; accuracy; child; electronic health records

PMID:
24510475
DOI:
10.1177/1087054713520616
[Indexed for MEDLINE]

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