Utility assessment of HIV/AIDS-related health states in HIV-infected Ugandans.

Antonieta Medina Lara; Barbara Nyanzi Wakholi; Agnes Kasirye; Paula Munderi; Christine Watera; David G Lalloo; Alan Haycox; Charles F Gilks; Heiner Grosskurth ORCID logo; (2008) Utility assessment of HIV/AIDS-related health states in HIV-infected Ugandans. AIDS (London, England), 22 Sup (Suppl ). S123-S130. ISSN 0269-9370 DOI: 10.1097/01.aids.0000327633.85221.9a
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OBJECTIVE: To assess the psychometric performance of using standard gamble (SG), time trade-off (TTO) and visual analogue scale (VAS) in the evaluation of three predetermined HIV/AIDS health states in HIV-infected Ugandans, for use in cost-effectiveness analyses. METHODS: We recruited participants with CD4 cells <200/microl from the Development of AntiRetroviral Therapy in Africa (DART) trial cohort [randomized trial evaluating antiretroviral therapy (ART) management strategies] in Uganda, before they initiated ART (n = 276). A comparison group of ART-naive HIV-infected individuals was recruited from the Entebbe Cohort study (n = 159). Participants were interviewed and asked to rate his/her own health state using VAS; rank and evaluate HIV/AIDS predetermined health states using TTO and SG relative to an improved health state. Tools were tested for psychometrical properties. RESULTS: Women constituted 64% and 76% of the DART and Entebbe Cohorts. Mean age was 36.5 and 36.7 years, respectively. Participants could discriminate between predetermined HIV/AIDS health states. Deterioration in health status was associated with a reduction in rating scores (VAS), increased willingness to give up time (TTO) and acceptance of increased risk (SG) to achieve a better health state, independent of the participant's actual health state, as measured by CD4 cell counts. CONCLUSION: VAS, TTO and SG have good psychometric properties, making them good candidates for use in resource-constrained settings. Further research in a wider population is necessary to generate an evidence base with which to inform resource allocation decisions.

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