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Quality improvement methods as applied to a multicenter effectiveness trial--STAR*D.

Diane Warden1, A John Rush, Madhukar Trivedi

  • 1Department of Psychiatry, The University of Texas Southwestern Medical Center at Dallas, 5323 Harry Hines Blvd., Dallas, TX, USA. Diane.Warden@UTSouthwestern.edu

Contemporary Clinical Trials
|April 20, 2005
PubMed
Summary

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Implementing a quality improvement system in the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) trial enhanced participant enrollment, data collection, and retention. This approach improved clinical trial efficiency and performance, aiding in achieving study aims.

Area of Science:

  • Clinical Trials
  • Quality Improvement Systems
  • Psychiatric Research

Background:

  • Clinical trial success depends on participant enrollment, data completeness, and retention.
  • Multicenter trials require efficient performance to achieve study objectives.
  • The Sequenced Treatment Alternatives to Relieve Depression (STAR*D) trial aimed to improve depression treatment outcomes.

Purpose of the Study:

  • To introduce and evaluate a quality improvement system in a multicenter clinical trial.
  • To enhance the efficiency and performance of the STAR*D trial.
  • To identify and target specific intermediate performance goals for improvement.

Main Methods:

  • A quality improvement system was implemented in the STAR*D trial.
  • Four key performance goals were targeted: initial enrollment, primary outcome data collection, subject retention, and blood sample collection for genetics.

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  • Numerical targets were established for monitoring and improving performance.

    • Main Results:

    • The quality improvement system focused on enhancing critical aspects of trial performance.
    • Specific goals included increasing participant enrollment and ensuring complete primary outcome data collection.
    • Efforts were made to improve subject retention across trial "levels" and facilitate blood sample collection for genetic studies.

    Conclusions:

    • Quality improvement systems can significantly enhance the performance and efficiency of multicenter clinical trials.
    • Targeting intermediate performance goals is crucial for achieving overall study aims.
    • The STAR*D trial demonstrated the utility of a structured quality improvement approach in psychiatric research.