The Potential Utility of a Staging Model as a Course Specifier: A Bipolar Disorder Perspective

Full text for this resource is not available from the Research Repository.

Berk, Michael, Hallam, Karen and McGorry, Patrick D (2007) The Potential Utility of a Staging Model as a Course Specifier: A Bipolar Disorder Perspective. Journal of Affective Disorders, 100 (1-3). pp. 279-281. ISSN 0165-0327

Abstract

Staging models are widely used in clinical medicine, and offer an insight into the progressive nature of many disorders. In general, the earlier stages of illness may be associated with a better prognosis and a higher treatment response. Once chronicity is reached, more complex and invasive treatments may be required, and the utility of treatments may decline. There is evidence that treatment response is greatest in the early phases of the disorder. There is also a progressive social and psychological burden of ongoing illness. This is paralleled by the twin notions of neuroprotection, which is supported by increasing evidence that structural changes in the disorder may be progressive and reversible with algorithm appropriate treatment, and that of early intervention, which posits that the optimal window for intervention is early in the illness course. A staging model compliments existing and proposed classifications of bipolar disorder, adding a temporal dimension to a cross sectional view. It may inform treatment choice and prognosis, and could have utility as a course specifier.

Dimensions Badge

Altmetric Badge

Item type Article
URI https://vuir.vu.edu.au/id/eprint/3184
DOI https://doi.org/10.1016/j.jad.2007.03.007
Official URL http://www.sciencedirect.com/science/article/pii/S...
Subjects Historical > FOR Classification > 1103 Clinical Sciences
Historical > FOR Classification > 1701 Psychology
Historical > Faculty/School/Research Centre/Department > School of Social Sciences and Psychology
Keywords ResPubID16566, bipolar disorder, prodrome, treatment resistance, stages, management, early intervention
Citations in Scopus 134 - View on Scopus
Download/View statistics View download statistics for this item

Search Google Scholar

Repository staff login