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European Child & Adolescent Psychiatry

, Volume 9, Issue 2, pp 129–134 | Cite as

Predicting type of psychiatric disorder from Strengths and Difficulties Questionnaire (SDQ) scores in child mental health clinics in London and Dhaka

  • R. Goodman
  • D. Renfrew
  • M. Mullick
ORIGINAL CONTRIBUTION

Abstract

A computerised algorithm was developed to predict child psychiatric diagnoses on the basis of the symptom and impact scores derived from Strengths and Difficulties Questionnaires (SDQs) completed by parents, teachers and young people. The predictive algorithm generates “unlikely”, “possible” or “probable” ratings for four broad categories of disorder, namely conduct disorders, emotional disorders, hyperactivity disorders, and any psychiatric disorder. The algorithm was applied to patients attending child mental health clinics in Britain (N=101) and Bangladesh (N=89). The level of chance-corrected agreement between SDQ prediction and an independent clinical diagnosis was substantial and highly significant (Kendall's tau b between 0.49 and 0.73; p < 0.001). A “probable” SDQ prediction for any given disorder correctly identified 81–91% of the children who definitely had that clinical diagnosis. There were more false positives than false negatives, i.e. the SDQ categories were over-inclusive. The algorithm appears to be sufficiently accurate and robust to be of practical value in planning the assessment of new referrals to a child mental health service.

Key words Children mental health psychiatric diagnosis questionnaire-prediction 

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Copyright information

© Steinkopff Verlag 2000

Authors and Affiliations

  • R. Goodman
    • 1
  • D. Renfrew
    • 2
  • M. Mullick
    • 3
  1. 1.Department of Child and Adolescent Psychiatry Institute of Psychiatry Kings College London London SE5 8AF, UKGB
  2. 2.Child and Family Service Ayrshire Central Hospital Kilwinning Road Irvine, Ayrshire KA12855, UKGB
  3. 3.Department of Psychiatry Bangabandhu Sheikh Mujib Medical University Dhaka-1000, BangladeshBD

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