A discrete choice experiment to assess patients’ preferences for HIV treatment in the rural population in Colombia

Anne JM Goossens, Kei Long Cheung, Eric Sijstermans, Rafael Conde, Javier - Leonardo Gonzalez - Rodriguez, Mickaël Hiligsmann

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

Aim: To elicit patients’ preferences for HIV treatment of the rural population in Colombia.
Methods: A discrete choice experiment (DCE), conducted in a HIV clinic in Bogotá, was used to examine the trade-off between five HIV treatment attributes: effect on life expectancy, effect on physical activity, risk of moderate side effects, accessibility to clinic and economic costs to access controls. Attributes selection was based on a previous best-worst scaling and a focus group with six patients. A Bayesian experimental design was used to define two versions of the questionnaire with each twelve choice sets and a dominance task to check reliability. A mixed logit model was then used to analyse the data and subgroup analyses were conducted on the basis of age, gender, education and sexual preference.
Results: A total of 129 HIV patients were included. All treatment attributes were significant predictors of choice. Patients valued the effect on physical activity (28%) and the effect on life expectancy (25%) the most. Two of the four subgroup analyses (i.e. age and education) showed significant differences: younger patients (≤ 38) and high educated patients valued the effect on physical activity as the most important attribute, whereas older patients mostly valued the effect on life expectancy and low educated patients mostly valued the accessibility to clinic.
Limitations: There may have been selection bias of rural patients that visited the one clinic we included in Bogota.
Conclusions: This study suggests that all HIV treatment characteristics were important and that HIV patients from rural Colombia valued short-term efficacy (i.e. effect on physical activity) and long-term efficacy (i.e. effect on life expectancy) the most. Preference data could provide relevant information for clinical and policy decision-making to optimize HIV care.
Original languageSpanish (Colombia)
Pages (from-to)1-25
Number of pages26
JournalJournal of Medical Economics
Volume23
Issue number8
Early online dateApr 6 2020
StateE-pub ahead of print - Apr 6 2020

Concepts

  • Concept

Cite this