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A Comparative Review of Health-Related Quality-of-Life Measures for Use in HIV/AIDS Clinical Trials

Author

Listed:
  • Darren Clayson

  • Diane Wild
  • Paul Quarterman
  • Isabelle Duprat-Lomon
  • Maria Kubin
  • Stephen Coons

Abstract

With the advent of highly active antiretroviral therapy (HAART), HIV-infected patients are living longer and are concerned not only with a treatment’s ability to extend their life but also with the quality of the life they are able to lead. Regulatory authorities are also paying closer attention to the use of health-related quality-of-life (HR-QOL) measures in clinical trials and to the subsequent claims that are made based on the results. This paper reviews existing HR-QOL measures reported in the HIV/AIDS literature since 1990 and identifies those most worthy of consideration for use in future clinical trials. A comprehensive review following predefined selection criteria was conducted. Generic and HIV-targeted measures were assessed for content and practicality for the clinical trial setting. The generic measures were additionally reviewed for the ability to produce preference-based index scores and for the existence of normative general population data. Three generic and six HIV-targeted measures met these selection criteria and were then assessed more fully in terms of their development (HIV-targeted measures), psychometric properties and appropriateness for use in clinical trials. It was determined that each of the selected generic measures (i.e. Medical Outcomes Study [MOS] 36-Item Short Form Survey Instrument [SF-36], EQ-5D, Health Utilities Index [HUI]) could serve as a useful adjunct to an HIV-targeted measure in a trial. The Functional Assessment of HIV Infection (FAHI) and MOS-HIV health survey were deemed the two most appropriate HIV-targeted measures. Each of the measures can be self-administered in ≤10 minutes and there was ample evidence of their excellent psychometric properties. However, they would not be optimal in all HIV-infected subgroups (e.g. treatment naive vs advanced; adolescents vs older adults) targeted for clinical trial interventions. Although there is no one best HR-QOL measure for use in HIV/AIDS clinical trials, based on our review criteria we identified three generic and two HIVtargeted candidate measures. However, these measures have their limitations and it is clear that greater consensus needs to develop regarding more effective and efficient approaches to HR-QOL measurement in HIV/AIDS clinical trials. Along with the increasingly complex HR-QOL measurement task resulting from changes in the HIV-infected population and shifts in the HR-QOL burden associated with HIV infection and its treatment over the past 25 years, it is increasingly important that HR-QOL outcomes become viable endpoints in HIV/AIDS clinical trials. Copyright Adis Data Information BV 2006

Suggested Citation

  • Darren Clayson & Diane Wild & Paul Quarterman & Isabelle Duprat-Lomon & Maria Kubin & Stephen Coons, 2006. "A Comparative Review of Health-Related Quality-of-Life Measures for Use in HIV/AIDS Clinical Trials," PharmacoEconomics, Springer, vol. 24(8), pages 751-765, August.
    • Handle: RePEc:spr:pharme:v:24:y:2006:i:8:p:751-765
    DOI: 10.2165/00019053-200624080-00003
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    1. William J Furlong & David H. Feeny & George W. Torrance & Ronald D. Barr, 2001. "The Health Utilities Index (HUI®) System for Assessing Health-Related Quality of Life in Clinical Studies," Centre for Health Economics and Policy Analysis Working Paper Series 2001-02, Centre for Health Economics and Policy Analysis (CHEPA), McMaster University, Hamilton, Canada.
    2. Brazier, John & Roberts, Jennifer & Deverill, Mark, 2002. "The estimation of a preference-based measure of health from the SF-36," Journal of Health Economics, Elsevier, vol. 21(2), pages 271-292, March.
    3. Tom E. Hughes & Robert M. Kaplan & Stephen Joel Coons & Jolaine R. Draugalis & Jeffrey A. Johnson & Thomas L. Patterson, 1997. "Construct Validities of the Quality of Well-Being Scale and the MOS-HIV-34 Health Survey for HIV-infected Patients," Medical Decision Making, , vol. 17(4), pages 439-446, October.
    4. Paul Kind & Geoffrey Hardman & Susan Macran, 1999. "UK population norms for EQ-5D," Working Papers 172chedp, Centre for Health Economics, University of York.
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