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A Proposed Algorithm for Improved Recognition and Treatment of the Depression/Anxiety Spectrum in Primary Care.

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Institute of Psychiatry, Medical University of South Carolina, Charleston; the Department of Psychiatry and Behavioral Science, Duke University Medical Center, Durham, N.C.; INSERM, Hôpital La Salpêtrière, Paris, France; and the Psychopharmacology Unit, University of Bristol, Bristol, England.


The International Consensus Group on Depression and Anxiety has held 7 meetings over the last 3 years that focused on depression and specific anxiety disorders. During the course of the meeting series, a number of common themes have developed. At the last meeting of the Consensus Group, we reviewed these areas of commonality across the spectrum of depression and anxiety disorders. With the aim of improving the recognition and management of depression and anxiety in the primary care setting, we developed an algorithm that is presented in this article. We attempted to balance currently available scientific knowledge about the treatment of these disorders and to reformat it to provide an acceptable algorithm that meets the practical aspects of recognizing and treating these disorders in primary care.

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