Quality of Life Research

, Volume 8, Issue 6, pp 471–480

Economic methods for measuring the quality of life associated with HIV infection

  • Ahmed M. Bayoumi
  • Donald A. Redelmeier
Article

DOI: 10.1023/A:1008969512182

Cite this article as:
Bayoumi, A.M. & Redelmeier, D.A. Qual Life Res (1999) 8: 471. doi:10.1023/A:1008969512182

Abstract

Background: Quality of life is measured as utilities for cost-effectiveness analyses. Objective: To test the adequacy of three common utility elicitation methods for individuals with Human Immunodeficiency Virus (HIV) disease. Measurements: HIV-positive participants (n = 75) rated three standardized health states (symptomatic HIV infection, minor AIDS defining illness, and major AIDS defining illness) with two utility elicitation methods (Standard Gamble [SG], and Time Trade-off [TTO]) and one value method (Visual Analog [VA]). Participants also rated their own health with one utility method (Health Utilities Index [HUI]) and one conventional quality of life method (Medical Outcomes Study–HIV Health Survey [MOS-HIV]). Results: For all states, SG and TTO scores ranged from near 0.00 (equivalent to death) to 1.00 (best possible quality of life). Mean scores for symptomatic HIV were similar with the SG (0.80) and TTO (0.81) but higher than with the VA (0.70). Similar results were observed for minor AIDS defining illnesses (0.65, 0.65, 0.46 respectively) and major AIDS defining illnesses (0.42, 0.44, 0.25 respectively). Discrepant SG and TTO scores were observed in many individuals and were not explained by demographic characteristics. As expected, HUI scores of an individual's own health were related to the disease state. Four of ten MOS-HIV subscales (overall health, physical functioning, role functioning, and pain) were also related to disease state. HUI scores were correlated with the MOS-HIV score for overall health and for all MOS-HIV subscales except health transition. Conclusions: Mean utility scores for HIV-related health states elicited by the Standard Gamble and Time Trade-off were similar but a large degree of individual variation persists. Economic methods provide imprecise estimates of the quality of life associated with HIV infection.

Economic value of life HIV infections Quality of life 

Copyright information

© Kluwer Academic Publishers 1999

Authors and Affiliations

  • Ahmed M. Bayoumi
    • 1
    • 2
    • 3
  • Donald A. Redelmeier
    • 1
    • 4
  1. 1.Department of MedicineUniversity of TorontoCanada
  2. 2.Department of MedicineStanford UniversityCanada
  3. 3.Inner City Health Program and Division of General MedicineSt. Michael's HospitalCanada
  4. 4.Clinical Epidemiology UnitSunnybrook and Women's College Health Sciences CentreCanada

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