NCT02714140: DCE-IMPACT

Does Preference-based HIV Testing Increase Uptake in High Risk Populations?

Completed NA Last updated 18 August 2021

What this trial tests

NA trial testing PB-HCT + in HIV Testing in 1,194 participants. Completed in 31 October 2020.

Timeline

3 January 2018

Primary endpoint
31 October 2020

31 October 2020

Quick facts

Lead sponsor	University of South Carolina
Phase	NA
Status	Completed
Study type	INTERVENTIONAL
Allocation	randomized
Design	parallel
Masking	single
Primary purpose	diagnostic
Enrollment	1,194
Start date	3 January 2018
Primary completion	31 October 2020
Estimated completion	31 October 2020
Sites	3 locations across United States, Tanzania

Drugs / interventions tested

• PB-HCT +
• PB-HCT -
• Economic incentive
• PB-HCT ++
• SMS Reminder

Conditions studied

• HIV Testing — all drugs for HIV Testing →

Sponsor

University of South Carolina

Who can join

18 and older, any sex, with HIV Testing. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

Despite worldwide efforts to promote HIV Counseling and Testing (HCT), rates of testing remain low. Understanding how high risk groups decide to test and adapting available testing options to their preferences has the potential to broadly improve HCT uptake and cost-effectiveness. This study proposes to use a Discrete Choice Experiment, a survey method increasingly used by health economists for the design of patient-centered health care options, to rigorously quantify HIV testing preferences among two high-risk populations, identify their preferred testing options, and evaluate, in a pragmatic randomized controlled trial (RCT), the effect of a preference-based HIV counseling and testing (PB-HCT) intervention on testing uptake. At a time of heightened focus on health preferences research and patient-centered care, this study evaluates the critical link between preference-based intervention design and efficacy. If the RCT indicates that PB-HCT increases testing rates, the testing options evaluated in this R01 can be offered to high-risk populations in the study area, and the preference elicitation method and tools can be used to inform the design of testing options that better match the preferences of other high-risk populations and in other settings.

Publications & conference data

5 peer-reviewed publications reference this trial (live from Europe PMC):

1. Conditional economic incentives to improve HIV prevention and treatment in low-income and middle-income countries.
   Galárraga O, Sosa-Rubí SG. · · 2019 · cited 58× · PMID 31578955 · DOI 10.1016/s2352-3018(19)30233-4
2. Using discrete choice experiments to design interventions for heterogeneous preferences: protocol for a pragmatic randomised controlled trial of a preference-informed, heterogeneity-focused, HIV testing offer for high-risk populations.
   Ostermann J, Njau B, Hobbie A, Mtuy T, et al · · 2020 · cited 14× · PMID 33158826 · DOI 10.1136/bmjopen-2020-039313
3. What factors influence HIV testing? Modeling preference heterogeneity using latent classes and class-independent random effects.
   Ostermann J, Flaherty BP, Brown DS, Njau B, et al · · 2021 · cited 3× · PMID 35422879 · DOI 10.1016/j.jocm.2021.100305
4. Feasibility, Acceptability, and Potential Cost-Effectiveness of a Novel Mobile Phone Intervention to Promote Human Immunodeficiency Virus Testing Within Social Networks in Tanzania.
   Ostermann J, Njau B, Masaki M, Mtuy T, et al · · 2022 · cited 3× · PMID 35093981 · DOI 10.1097/olq.0000000000001611
5. Divergent preferences for enhanced HIV testing options among high-risk populations in northern Tanzania: a short report.
   Ostermann J, Njau B, Hobbie AM, Mtuy TB, et al · · 2023 · cited 2× · PMID 36063533 · DOI 10.1080/09540121.2022.2119471