TY - JOUR
T1 - Using treatment algorithms for the effective management of treatment-resistant depression
AU - Trivedi, Madhukar H.
AU - Kleiber, Beverly A.
N1 - Copyright:
Copyright 2012 Elsevier B.V., All rights reserved.
PY - 2001
Y1 - 2001
N2 - 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.
AB - 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.
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M3 - Article
C2 - 11575732
AN - SCOPUS:0035225982
SN - 0160-6689
VL - 62
SP - 25
EP - 29
JO - Journal of Clinical Psychiatry
JF - Journal of Clinical Psychiatry
IS - SUPPL. 18
ER -