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

作者信息

Lara Antonieta Medina, Wakholi Barbara Nyanzi, Kasirye Agnes, Munderi Paula, Watera Christine, Lalloo David G, Haycox Alan, Gilks Charles F, Grosskurth Heiner

机构信息

University of Liverpool Management School, Chatham Street, L69 7ZH, Liverpool, UK.

出版信息

AIDS. 2008 Jul;22 Suppl 1:S123-30. doi: 10.1097/01.aids.0000327633.85221.9a.

DOI:10.1097/01.aids.0000327633.85221.9a
PMID:18664944
Abstract

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.

摘要

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