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Using consensus OPCRIT diagnoses

An efficient procedure for best-estimate lifetime diagnoses

Published online by Cambridge University Press:  03 January 2018

M. H. Azevedo,
M. J. Soares,
I. Coelho,
A. Dourado,
J. Valente,
A. Macedo,
M. Pato and
C. Pato
M. H. Azevedo*
Affiliation:
Department of Psychiatry, College of Medicine and Centre for Neuroscience, Coimbra University, Coimbra, Portugal
M. J. Soares
Affiliation:
Department of Psychiatry, College of Medicine and Centre for Neuroscience, Coimbra University, Coimbra, Portugal
I. Coelho
Affiliation:
Department of Psychiatry, College of Medicine and Centre for Neuroscience, Coimbra University, Coimbra, Portugal
A. Dourado
Affiliation:
Department of Psychiatry, College of Medicine and Centre for Neuroscience, Coimbra University, Coimbra, Portugal
J. Valente
Affiliation:
Department of Psychiatry, College of Medicine and Centre for Neuroscience, Coimbra University, Coimbra, Portugal
A. Macedo
Affiliation:
Department of Psychiatry, College of Medicine and Centre for Neuroscience, Coimbra University, Coimbra, Portugal
M. Pato
Affiliation:
Department of Psychiatry, College of Medicine and Centre for Neuroscience, Coimbra University, Coimbra, Portugal, and Department of Psychiatry, State University of New York at Buffalo, Buffalo, New York, USA
C. Pato
Affiliation:
Department of Psychiatry, College of Medicine and Centre for Neuroscience, Coimbra University, Coimbra, Portugal, and Department of Psychiatry, State University of New York at Buffalo, Buffalo, New York, USA
*
Professor Maria Helena Azevedo, Psicologia Médica, Faculdade de Medecina, Universidade de Coimbra, Rua Larga, 3049 Coimbra Codex, Portugal. e-mail: helenamh@ci.uc.pt
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Abstract

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Background

The Operational Criteria Checklist (OPCRIT) generates diagnoses according to 12 operational diagnostic systems (e. g. DSM–III, DSM–III–R, Research Diagnostic Criteria, ICD–10)

Aims

To examine the agreement between diagnoses generated by the OPCRIT, as completed by the interviewer, with a best-estimate lifetime procedure using the OPCRIT.

Method

Subjects came from large mufti-generational bipolar or schizophrenia pedigrees (n=100), and from a sample of unrelated subjects with schizophrenia (n=40). We analysed the diagnostic agreement between OPCRIT diagnoses generated by the interviewer and our best-estimate OPCRIT diagnoses, according to DSM–III–R and ICD–10, using Cohen kappa statistics.

Results

Excellent agreement was found between interviewer OPCRIT diagnoses and OPCRIT diagnoses made by the best-estimate lifetime consensus procedure for DSM–III–R (κ=0.83) and ICD-10 (κ=0.81)

Conclusions

Results suggest that this procedure for diagnostic assessment is an efficient alternative to classic best-estimate diagnosis procedures.

Information

Type
Papers
Information
The British Journal of Psychiatry , Volume 175 , Issue 2 , August 1999, pp. 154 - 157
Copyright
Copyright © 1999 The Royal College of Psychiatrists 

Footnotes

∗

Presented at the Sixth World Congress on Psychiatric Genetics, Bonn, Germany, 7–10 October 1998.

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