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Psychiatric Diagnosis and Classification - ResearchGate

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12 PSYCHIATRIC DIAGNOSIS AND CLASSIFICATION<br />

distinguishable by this means from other syndromes [29]. Other more elaborate<br />

statistical techniques have been developed more recently. For<br />

example, a means of identifying clinical groupings by a combination of discriminant<br />

function analysis <strong>and</strong> admixture analysis was described by Sigvardsson<br />

et al. [30] <strong>and</strong> used to demonstrate two distinct patterns of<br />

somatization in Swedish men. Woodbury et al. [31] developed a ``grade of<br />

membership'' GoM) model for identifying ``pure types'' of disorders <strong>and</strong><br />

assigning individuals to these in a way which explicitly recognizes that<br />

natural classes have fuzzy boundaries <strong>and</strong> therefore allows individuals to<br />

have partial membership in more than one class [32]. Faraone <strong>and</strong> Tsuang<br />

[33] also proposed using ``diagnostic accuracy statistics'' a variant of latent<br />

class analysis) to model associations among observed variables <strong>and</strong> unobservable,<br />

latent classes or continuous traits that mediate the association.<br />

The central problem, therefore, is not that it has been demonstrated that<br />

there are no natural boundaries between our existing diagnostic categories,<br />

or even that there are no suitable statistical techniques, data sets or clinical<br />

research strategies for determining whether or not there are any natural<br />

boundaries within the main territories of mental disorder. The problem is<br />

that the requisite research has, for the most part, not yet been done. The resulting<br />

uncertainty makes it all the more important to clarify what is implied<br />

when a diagnostic category is described as being valid [34].<br />

Clinical Relevance<br />

The clinical relevance of a classification encompasses characteristics such as<br />

its representative scope coverage), its capacity to describe attributes of<br />

individuals such as clinical severity of the disorder, impairments <strong>and</strong> disabilities)<br />

<strong>and</strong> its ease of application in the various settings in which people<br />

with mental health problems present for assessment or treatment.<br />

It is obvious that a classification should adequately cover the universe of<br />

mental <strong>and</strong> behavioral disorders that are of clinical concern. The list of<br />

diagnostic entities is open endedÐnew diagnoses may be added <strong>and</strong> obsolete<br />

ones deleted. There is no theoretical limit on the number of conditions<br />

<strong>and</strong> attributes to be included, but the requirement that new rubrics should<br />

only be added if they have adequate conceptual <strong>and</strong> empirical support, as<br />

well as practical considerations e.g. ease of manipulation), calls for strict<br />

parsimony in any future revisions of the scope of the classification.<br />

The system should be capable of discriminating not only between syndromes<br />

but also between degrees of their expression in individual patients<br />

<strong>and</strong> the severity of the associated impairments <strong>and</strong> disabilities. This implies<br />

that the multiaxial model of psychiatric diagnosis is likely to survive,<br />

subject to further refinement. By <strong>and</strong> large, a multiaxial arrangement

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