Maximizing the Adequacy of Medication Treatment in Controlled Trials and Clinical Practice: STAR*D Measurement-Based Care
Clicks: 219
ID: 116439
2007
Article Quality & Performance Metrics
Overall Quality
Improving Quality
0.0
/100
Combines engagement data with AI-assessed academic quality
Reader Engagement
Emerging Content
5.7
/100
19 views
19 readers
Trending
AI Quality Assessment
Not analyzed
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.
| Reference Key |
trivedi2007neuropsychopharmacologymaximizing
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Madhukar H Trivedi;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;Madhukar H Trivedi;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; |
| Journal | neuropsychopharmacology : official publication of the american college of neuropsychopharmacology |
| Year | 2007 |
| DOI |
doi:10.1038/sj.npp.1301390
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.