Parent-teacher concordance for DSM-IV attention-deficit/hyperactivity disorder in a clinic-referred sample

J Am Acad Child Adolesc Psychiatry. 2000 Mar;39(3):308-13. doi: 10.1097/00004583-200003000-00012.

Abstract

Objective: To examine concordance between parent and teacher reports of DSM-IV attention-deficit/hyperactivity disorder (ADHD) and its symptoms.

Method: Parents and teachers of 74 clinically referred children were interviewed using the ADHD module of the Diagnostic Interview Schedule for Children. Parent-teacher agreement for the diagnosis of ADHD and its subtypes, as defined in DSM-IV, as well as parent-teacher concordance of in-school ADHD symptoms, was examined.

Results: Agreement between parents and teachers was found to be relatively poor, with virtually no agreement for individual ADHD subtypes. Diagnoses based on either parent or teacher report frequently yielded a diagnosis of either inattentive or hyperactive-impulsive subtype of ADHD. However, when cross-informant data were used to form diagnoses, these subtypes became relatively rare, with most cases meeting criteria for ADHD combined type. In addition, parent reports of in-school behavior were more highly correlated with their own reports of their child's behavior at home than with teacher reports of their child's behavior in school.

Conclusions: These data suggest that the diagnosis of ADHD inattentive or hyperactive-impulsive subtype based on data from a single informant may be of questionable validity, and they point to the importance of using multiple informants when diagnosing this disorder in clinically referred samples.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Attention Deficit Disorder with Hyperactivity / diagnosis*
  • Attention Deficit Disorder with Hyperactivity / psychology
  • Child
  • Female
  • Humans
  • Male
  • Observer Variation
  • Personality Assessment / statistics & numerical data*
  • Psychometrics
  • Referral and Consultation / statistics & numerical data*
  • Social Environment