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Review of available instruments and methods for assessing quality of life in anti-anginal trials

B D Bliven1, C P Green, J A Spertus

  • 1University of Missouri, Kansas City, USA. bbliven@cctr.umkc.edu

Drugs & Aging
|November 7, 1998
PubMed

Insights

Patient-centered health status, including quality of life (QOL) and patient preferences, offers a better measure of treatment benefits in coronary artery disease (CAD) clinical trials than traditional endpoints.

Area of Science:

  • Cardiology
  • Health Outcomes Research
  • Clinical Trial Methodology

Background:

  • Traditional clinical trial endpoints like morbidity and mortality are insufficient for assessing treatment benefits in coronary artery disease (CAD) where death is rare.
  • Health-related quality of life (QOL) and functional status surveys capture patient-reported limitations and their impact on perceived health value.
  • Patient preference measures quantify the value patients place on their health status, providing a comprehensive view of treatment outcomes.

Purpose of the Study:

  • To review the use of QOL measures in anti-anginal clinical trials for CAD.
  • To summarize available QOL assessment approaches, differentiating psychometric and preference-based techniques, and general vs. disease-specific measures.
  • To provide a framework for selecting appropriate QOL instruments and methodologies in CAD clinical trials.

Main Methods:

  • Review of QOL measures utilized in existing anti-anginal trials for CAD.
  • Summary and comparison of psychometric vs. preference-based QOL assessment techniques.
  • Discussion of general health vs. disease-specific health measures in the context of CAD.

Main Results:

  • QOL measures provide a more accurate appraisal of treatment benefits in CAD compared to traditional endpoints.
  • A lack of consensus exists regarding a single, standardized QOL measure for CAD patients.
  • Various QOL assessment tools and methodologies are available, each with distinct applications.

Conclusions:

  • Patient-centered outcomes, including QOL and preferences, are crucial for evaluating treatment efficacy in CAD.
  • A structured framework is needed to guide the selection of appropriate QOL measures and methods in CAD clinical trials.
  • Standardized approaches to QOL assessment will enhance the comparability and interpretation of clinical trial results in CAD.

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