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

Madhukar H. Trivedi, Beverly A. Kleiber

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)25-29
Number of pages5
JournalJournal of Clinical Psychiatry
Volume62
Issue numberSUPPL. 18
StatePublished - Dec 1 2001

ASJC Scopus subject areas

  • Psychiatry and Mental health

Fingerprint Dive into the research topics of 'Using treatment algorithms for the effective management of treatment-resistant depression'. Together they form a unique fingerprint.

Cite this