Accuracy of Electronic Health Record-Derived Data for the Identification of Incident ADHD.
J Atten Disord
; 21(5): 416-425, 2017 03.
Article
em En
| MEDLINE
| ID: mdl-24510475
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.Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Transtorno do Deficit de Atenção com Hiperatividade
/
Registros Eletrônicos de Saúde
Tipo de estudo:
Diagnostic_studies
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Evaluation_studies
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Guideline
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Observational_studies
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Prognostic_studies
Limite:
Child
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Child, preschool
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Female
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Humans
Idioma:
En
Ano de publicação:
2017
Tipo de documento:
Article