Abstract
Discrete choice experiments (DCE), conjoint analysis (CA), and best-worst scaling (BWS) are quantitative techniques for estimating consumer preferences for products or services. These methods are increasingly used in healthcare research, but their applications within the field of HIV research have not yet been described. The objective of this scoping review was to systematically map the extent and nature of published DCE, CA, and BWS studies in the field of HIV and identify priority areas where these methods can be used in the future. Online databases were searched to identify published HIV-related DCE, CA and BWS studies in any country and year as the primary outcome. After screening 1,496 citations, 57 studies were identified that were conducted in 26 countries from 2000–2017. The frequency of published studies increased over time and covered HIV themes relating to prevention (n = 25), counselling and testing (n = 10), service delivery (n = 10), and antiretroviral therapy (n = 12). Most studies were DCEs (63%) followed by CA (37%) and BWS (4%). The median [IQR] sample size was 288 [138–496] participants, and 74% of studies used primary qualitative data to develop attributes. Only 30% of studies were conducted in sub-Saharan Africa where the burden of HIV is highest. Moreover, few studies surveyed key populations including men who have sex with men, transgender people, pregnant and postpartum women, adolescents, and people who inject drugs. These populations represent priorities for future stated-preference research. This scoping review can help researchers, policy makers, program implementers, and health economists to better understand the various applications of stated-preference research methods in the field of HIV.
Highlights
MethodsThe protocol was developed by our research team using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) [26]
We utilized the following eligibility criteria to broadly map the literature on stated-preference research in HIV: 1) the target study population is people living with HIV (PLWH) or persons at risk of HIV infection, healthcare workers interfacing with PLWH, or policy makers addressing HIV-related issues; and 2) Discrete choice experiments (DCE), conjoint analysis (CA), or best-worst scaling (BWS) methodology was used to elicit and analyze preferences of the study population
DCE, CA and BWS methods were used in 63%, 37% and 4% of studies, respectively, and most studies did not report using any form of probability sampling
Summary
The protocol was developed by our research team using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) [26]. The final protocol was registered with the Open Science Framework (https://osf.io). We utilized the following eligibility criteria to broadly map the literature on stated-preference research in HIV: 1) the target study population is people living with HIV (PLWH) or persons at risk of HIV infection (as identified by the authors of the report), healthcare workers interfacing with PLWH, or policy makers addressing HIV-related issues; and 2) DCE, CA, or BWS methodology was used to elicit and analyze preferences of the study population. All published manuscripts and conference abstracts published in any year, language, or country were included.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
