一种用于改善基层医疗中抑郁/焦虑谱系识别与治疗的算法建议
A Proposed Algorithm for Improved Recognition and Treatment of the Depression/Anxiety Spectrum in Primary Care.
作者信息
Ballenger James C., Davidson Jonathan R. T., Lecrubier Yves, Nutt David J.
机构信息
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.
出版信息
Prim Care Companion J Clin Psychiatry. 2001 Apr;3(2):44-52. doi: 10.4088/pcc.v03n0201.
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.
国际抑郁与焦虑共识小组在过去3年里召开了7次会议，重点关注抑郁症和特定焦虑症。在这一系列会议过程中，出现了一些共同主题。在共识小组的最后一次会议上，我们回顾了抑郁症和焦虑症全谱系中的这些共性领域。为了提高初级保健环境中对抑郁症和焦虑症的识别与管理水平，我们制定了一种算法，本文将予以介绍。我们试图平衡目前关于这些疾病治疗的科学知识，并对其进行重新整理，以提供一种可接受的算法，该算法符合在初级保健中识别和治疗这些疾病的实际情况。
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