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Measuring agreement between patient and proxy responses to multidimensional health-related quality-of-life measures in clinical trials. An application of psychometric profile analysis.

Publication ,  Journal Article
Weinfurt, KP; Trucco, SM; Willke, RJ; Schulman, KA
Published in: J Clin Epidemiol
June 2002

When patients cannot provide responses to health-related quality-of-life (HRQOL) measures in clinical trials, family or friends may be asked to respond. We present a simple, comprehensive method for assessing agreement between patients with head injury and their proxy responders. In contrast to more traditional approaches, this method defines agreement separately for each patient-proxy pair, and compares HRQOL profiles along three dimensions-level, or the average of the ratings; scatter, or the variability in the ratings; and shape, or the ranks of the ratings. We demonstrate this method in the context of a clinical trial of a treatment for traumatic head injury and compare the results to those obtained using traditional analyses. Options for incorporating proxy responses into clinical trial analyses are discussed.

Duke Scholars

Published In

J Clin Epidemiol

DOI

ISSN

0895-4356

Publication Date

June 2002

Volume

55

Issue

6

Start / End Page

608 / 618

Location

United States

Related Subject Headings

  • Research Design
  • Randomized Controlled Trials as Topic
  • Quality of Life
  • Psychometrics
  • Proxy
  • Outcome Assessment, Health Care
  • Humans
  • Health Status
  • Epidemiology
  • Decision Making
 

Citation

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ICMJE
MLA
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Weinfurt, K. P., Trucco, S. M., Willke, R. J., & Schulman, K. A. (2002). Measuring agreement between patient and proxy responses to multidimensional health-related quality-of-life measures in clinical trials. An application of psychometric profile analysis. J Clin Epidemiol, 55(6), 608–618. https://doi.org/10.1016/s0895-4356(02)00392-x
Weinfurt, Kevin P., Sara M. Trucco, Richard J. Willke, and Kevin A. Schulman. “Measuring agreement between patient and proxy responses to multidimensional health-related quality-of-life measures in clinical trials. An application of psychometric profile analysis.J Clin Epidemiol 55, no. 6 (June 2002): 608–18. https://doi.org/10.1016/s0895-4356(02)00392-x.
Weinfurt, Kevin P., et al. “Measuring agreement between patient and proxy responses to multidimensional health-related quality-of-life measures in clinical trials. An application of psychometric profile analysis.J Clin Epidemiol, vol. 55, no. 6, June 2002, pp. 608–18. Pubmed, doi:10.1016/s0895-4356(02)00392-x.
Journal cover image

Published In

J Clin Epidemiol

DOI

ISSN

0895-4356

Publication Date

June 2002

Volume

55

Issue

6

Start / End Page

608 / 618

Location

United States

Related Subject Headings

  • Research Design
  • Randomized Controlled Trials as Topic
  • Quality of Life
  • Psychometrics
  • Proxy
  • Outcome Assessment, Health Care
  • Humans
  • Health Status
  • Epidemiology
  • Decision Making