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使用治疗算法有效管理难治性抑郁症。

Using treatment algorithms for the effective management of treatment-resistant depression.

作者信息

Trivedi M H, Kleiber B A

机构信息

Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas 75390-9101, USA.

出版信息

J Clin Psychiatry. 2001;62 Suppl 18:25-9.

Abstract

Increasingly, clinicians are looking to evidence-based medicine for information about treatment options. Treatment algorithms have been used with a variety of psychiatric disorders to assist physicians in making treatment decisions. The direct, prescriptive nature of algorithms also makes them suitable for use in treatment-resistant depression. Two major projects, the Texas Medication Algorithm Project and Sequenced Treatment Alternatives to Relieve Depression, have begun to address the questions of sequenced treatment options. Future directions for algorithm development and implementation are discussed.

摘要

临床医生越来越多地从循证医学中寻找有关治疗方案的信息。治疗算法已被用于多种精神疾病,以协助医生做出治疗决策。算法直接的、规定性的性质也使其适用于难治性抑郁症。两个主要项目,即德克萨斯药物算法项目和缓解抑郁症的序贯治疗替代方案,已开始着手解决序贯治疗方案的问题。本文还讨论了算法开发和实施的未来方向。

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