Literature DB >> 17406651

Maximizing the adequacy of medication treatment in controlled trials and clinical practice: STAR(*)D measurement-based care.

Madhukar H Trivedi1, A John Rush, Bradley N Gaynes, Jonathan W Stewart, Stephen R Wisniewski, Diane Warden, Louise Ritz, James F Luther, Diane Stegman, Joanne Deveaugh-Geiss, Robert Howland.   

Abstract

The success of well-developed protocols has been limited in real-world practice, where even effective strategies have not been sufficient to meet patient needs in routine clinical care owing to Axis I and III comorbidities. The Sequenced Treatment Alternatives to Relieve Depression (STAR(*)D) trial required that antidepressant medication treatment be optimal regarding dose and duration, yet accommodate flexibility to ensure safety given the wide range of comorbid general medical and psychiatric disorders allowed in the trial. The objective of this study was to develop a measurement-based care (MBC) approach and an automated feedback system to ensure adequate and safe antidepressant treatment delivery suitable for both clinical research and routine practice. Ratings of depressive symptom severity and side-effect frequency, intensity, and burden were obtained at each treatment visit using the MBC system that (1) guided medication dose adjustments and treatment duration, (2) documented clinician adherence to treatment recommendations, and (3) provided prompt feedback to clinicians to enhance appropriate treatment decisions. Physician adherence to protocol-specific treatment was monitored based on measured symptoms and side-effect burden, and dose and duration of antidepressant at each critical decision point during the acute phase treatment of major depression. Feedback was provided at the point of care by the clinical coordinators, assisted by Web-based reports following each treatment visit. On the basis of the first treatment step with citalopram, over 85% of treatment encounters had appropriate fidelity to recommendations. Most deviations from treatment recommendations occurred late in treatment and were often justifiable. MBC proved to be feasible and effective in busy primary and psychiatric settings. This approach signals a paradigm shift toward the use of measurement-based clinical decisions, both at the point of care and following each visit, to deliver optimal pharmacotherapy for depression.

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Year:  2007        PMID: 17406651     DOI: 10.1038/sj.npp.1301390

Source DB:  PubMed          Journal:  Neuropsychopharmacology        ISSN: 0893-133X            Impact factor:   7.853


  48 in total

1.  What are the clinical implications of new onset or worsening anxiety during the first two weeks of SSRI treatment for depression?

Authors:  Jackie K Gollan; Maurizio Fava; Benji Kurian; Stephen R Wisniewski; A John Rush; Ella Daly; Sachiko Miyahara; Madhukar H Trivedi
Journal:  Depress Anxiety       Date:  2011-12-06       Impact factor: 6.505

2.  Measurement-based care for unipolar depression.

Authors:  David W Morris; Madhukar H Trivedi
Journal:  Curr Psychiatry Rep       Date:  2011-12       Impact factor: 5.285

3.  Pharmacokinetically and clinician-determined adherence to an antidepressant regimen and clinical outcome in the TORDIA trial.

Authors:  Hiwot Woldu; Giovanna Porta; Tina Goldstein; Dara Sakolsky; James Perel; Graham Emslie; Taryn Mayes; Greg Clarke; Neal D Ryan; Boris Birmaher; Karen Dineen Wagner; Joan Rosenbaum Asarnow; Martin B Keller; David Brent
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2011-03-09       Impact factor: 8.829

4.  What have we learned about trial design from NIMH-funded pragmatic trials?

Authors:  John March; Helena C Kraemer; Madhukar Trivedi; John Csernansky; John Davis; Terence A Ketter; Ira D Glick
Journal:  Neuropsychopharmacology       Date:  2010-08-25       Impact factor: 7.853

5.  Neuroprotective evidence of alpha-lipoic acid and desvenlafaxine on memory deficit in a neuroendocrine model of depression.

Authors:  Caren Nádia Soares de Sousa; Lucas Nascimento Meneses; Germana Silva Vasconcelos; Ingridy da Silva Medeiros; Márcia Calheiros Chaves Silva; Fayçal Mouaffak; Oussama Kebir; Cláudio Manuel Gonçalves da Silva Leite; Manoel Cláudio Azevedo Patrocinio; Danielle Macedo; Silvânia Maria Mendes Vasconcelos
Journal:  Naunyn Schmiedebergs Arch Pharmacol       Date:  2018-05-07       Impact factor: 3.000

Review 6.  A model for streamlining psychotherapy in the RDoC era: the example of 'Engage'.

Authors:  G S Alexopoulos; P Arean
Journal:  Mol Psychiatry       Date:  2013-11-26       Impact factor: 15.992

7.  Pre-treatment insomnia as a predictor of single and combination antidepressant outcomes: a CO-MED report.

Authors:  Sharon C Sung; Stephen R Wisniewski; James F Luther; Madhukar H Trivedi; A John Rush
Journal:  J Affect Disord       Date:  2014-11-22       Impact factor: 4.839

Review 8.  Anxious depression: clinical features and treatment.

Authors:  Sanjai Rao; Sidney Zisook
Journal:  Curr Psychiatry Rep       Date:  2009-12       Impact factor: 5.285

9.  Do depressed patients with diabetes experience more side effects when treated with CitalopramThan their counterparts without diabetes? a STAR*D study.

Authors:  Charlene Bryan; Thomas Songer; Maria Mori Brooks; Michael E Thase; Bradley Gaynes; Michael Klinkman; G K Balasubramani; A John Rush; Madhukar H Trivedi; Maurizio Fava; Stephen R Wisniewski
Journal:  Prim Care Companion J Clin Psychiatry       Date:  2009

10.  Experimental Therapies for Treatment-Resistant Depression: "How do you decide when to go to an unproven or experimental therapy with patients that are treatment-resistant depression?"

Authors:  Manish K Jha; Madhukar H Trivedi
Journal:  Focus (Am Psychiatr Publ)       Date:  2018-07-18
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