Classifying psychiatric disorders after traumatic brain injury and orthopaedic injury in children: adequacy of K-SADS versus CBCL

Brain Inj. 2004 Apr;18(4):377-90. doi: 10.1080/02699050310001617325.

Abstract

Primary objective: [corrected] To evaluate the convergence between the Kiddie Schedule for Affective Disorders and Schizophrenia (K-SADS) for the diagnosis of psychiatric disorders and the Child Behavior Checklist (CBCL).

Research design: Cross-sectional psychiatric study of 72 children with traumatic brain injuries or orthopaedic injuries aged 5-14.

Methods and procedures: Sensitivity, specificity, total predictive value and odds ratio were calculated to evaluate the association between CBCL summary scores and K-SADS diagnosis of at least one psychiatric disorder (K-SADS-1), and of CBCL subscales and K-SADS diagnosis of Attention-Deficit/Hyperactivity Disorder (ADHD). Lowered cut-off scores of t > or = 60 were used.

Main outcomes and results: Convergence between the CBCL total problem scale and K-SADS-1 was poor. Convergence between 'at least one elevated CBCL subscale' and K-SADS-1, and between CBCL attention problems and social problems scales and K-SADS diagnosis of ADHD was excellent.

Conclusions: Caution is needed when using the total problem scale of CBCL in predicting global psychological impairment because underestimation of problems is likely. The attention and social problems scales of CBCL can be used to estimate ADHD.

Publication types

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

MeSH terms

  • Adolescent
  • Attention Deficit Disorder with Hyperactivity / etiology
  • Brain Injuries / psychology*
  • Child
  • Child, Preschool
  • Cross-Sectional Studies
  • Female
  • Fractures, Bone / psychology
  • Humans
  • Interview, Psychological
  • Male
  • Mental Disorders / diagnosis*
  • Mental Disorders / etiology
  • Odds Ratio
  • Predictive Value of Tests
  • Psychiatric Status Rating Scales*
  • Psychometrics
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Surveys and Questionnaires