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| Research article summary (published 30 Aug 2009): |
On categorical diagnoses in DSM-V: cutting dimensions at useful points?
Full Abstract
The Diagnostic and Statistical Manual of Mental Disorders (5th ed.; DSM-V) will likely place more emphasis on dimensional representation of mental disorders. However, it is often argued that categorical diagnoses are preferable for professional communication, clinical decision-making, or distinguishing between individuals with and without a mental disorder. For these specific aims, utility-based categories can be created on the basis of a dimensional framework by using cut-points. This article addresses several ideas for combining categorical and dimensional approaches like prototype matching, adding scores of symptom-severity, and introducing utility-based categories in dimensional models. The authors identify alternative objectives for specifying cut-points and describe ways of determining the cut-points accordingly. It is recommended that, for creating standard diagnostic concepts, fixed cutoffs be used, as this promotes accumulative science, but these cutoffs may not be optimal for other clinical decisions because of local base rates and decision-specific (dis)utilities. Receiver operator characteristics curves can facilitate the comparative evaluation of the trade-off between sensitivity and specificity for multiple cut-points and diagnostic rules. The authors advocate a DSM-V that contains both categories and dimensions to serve the multiple and complex aims of utility and validity. Copyright 2009 APA, all rights reserved.
Author information
Author/s: Kamphuis, Jan H (JH); Noordhof, Arjen (A);
Affiliation: Department of Psychology, University of Amsterdam, Amsterdam, the Netherlands. j.h.kamphuis(-atsign-)uva.nl
Journal and publication information
Publication Type: Journal Article; Review
Journal: Psychological assessment (Psychol Assess), published in United States. (Language: eng)
Reference: 2009-Sep; vol 21 (issue 3) : pp 294-301
Dates: Created 2009/09/01; Completed 2009/11/03;
PMID: 19719342, status: MEDLINE (last retrieval date: 11/3/2009, IMS Date: )
Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.
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