Correspondence between DSM-III-R and DSM-IV attention-deficit/hyperactivity disorder

J Am Acad Child Adolesc Psychiatry. 1997 Dec;36(12):1682-7. doi: 10.1097/00004583-199712000-00016.

Abstract

Objective: To evaluate the correspondence between DSM-III-R and DSM-IV definitions of attention-deficit/hyperactivity disorder (ADHD) in clinically referred children. Results of the field trials led to the hypothesis that there would be a strong correspondence between DSM-III-R and DSM-IV subtypes.

Method: The sample consisted of all children and adolescents consecutively referred to a pediatric psychopharmacology clinic (N = 405). Children were comprehensively evaluated with structured diagnostic interviews assessing both DSM-III-R and DSM-IV ADHD. DSM-III-R symptoms were used to approximate DSM-IV subtypes. Kappa statistics and conditional probabilities were used to examine the correspondence between DSM-III-R and DSM-IV ADHD.

Results: Ninety-three percent of children who received a DSM-III-R diagnosis of ADHD also received a DSM-IV ADHD diagnosis. The kappa coefficient assessing the agreement between DSM-III-R and DSM-IV ADHD was .73 (z = 14.6, p < .0001). The kappa coefficient assessing the agreement between the DSM-III-R-approximated subtypes and the actual DSM-IV subtypes was .71 (z = 15, p < .0001).

Conclusion: These results confirm previous findings and indicate that the change from DSM-III-R to DSM-IV results in minimal changes in case identification and provides support for diagnostic continuity between the two classification systems.

Publication types

  • Comparative Study
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Adolescent
  • Attention Deficit Disorder with Hyperactivity / classification
  • Attention Deficit Disorder with Hyperactivity / diagnosis*
  • Attention Deficit Disorder with Hyperactivity / psychology
  • Child
  • Comorbidity
  • Humans
  • Mental Disorders / classification
  • Mental Disorders / diagnosis
  • Mental Disorders / psychology
  • Psychiatric Status Rating Scales / statistics & numerical data*
  • Psychometrics
  • Reproducibility of Results