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

Madhukar H. Trivedi, Beverly A. Kleiber

Research output: Contribution to journalArticle

24 Citations (Scopus)

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 - 2001

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Treatment-Resistant Depressive Disorder
Therapeutics
Evidence-Based Medicine
Psychiatry
Decision Making
Depression
Physicians

ASJC Scopus subject areas

  • Psychiatry and Mental health
  • Clinical Psychology

Cite this

Using treatment algorithms for the effective management of treatment-resistant depression. / Trivedi, Madhukar H.; Kleiber, Beverly A.

In: Journal of Clinical Psychiatry, Vol. 62, No. SUPPL. 18, 2001, p. 25-29.

Research output: Contribution to journalArticle

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