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STAR*D: helping to close the gap between science and practice
1Mental Health America, Alexandria, VA 22311, USA. dshern@mentalhealth america.net
Psychiatric Services (Washington, D.C.)
|November 3, 2009
Summary
The Sequenced Treatment Alternatives to Relieve Depression (STAR*D) trial showed a 70% remission rate in real-world depression treatment. Many patients needed medication changes, highlighting the need for accessible, varied treatment options.
Area of Science:
- Clinical Psychology
- Psychiatric Research
- Public Health Policy
Background:
- Traditional randomized controlled trials (RCTs) have limitations in reflecting real-world clinical practice.
- The STAR*D (Sequenced Treatment Alternatives to Relieve Depression) trial was designed as a practical clinical trial to address these limitations.
Purpose of the Study:
- To evaluate the effectiveness of a stepped-care approach in treating major depression in a real-world setting.
- To assess remission rates and identify factors associated with treatment success or failure.
Main Methods:
- The STAR*D trial enrolled a large, diverse patient population with major depressive disorder.
- Participants received sequential treatment with different antidepressant medications, including augmentation and switching strategies.
- Remission was defined as a score below a certain threshold on a depression rating scale.
Main Results:
- The STAR*D trial achieved a 70% remission rate among participants.
- Achieving remission often required medication switching or augmentation, indicating the need for flexible treatment strategies.
- A significant portion of participants (30%) did not achieve remission, and high attrition rates were observed.
Conclusions:
- Practical clinical trials like STAR*D are valuable for understanding depression treatment in real-world conditions.
- Accessible and diverse treatment options, including medication adjustments, are crucial for improving depression remission rates.
- Future research should prioritize patient involvement in trial design and interpretation, and address high attrition rates.
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