Preferences for Online Pre-Exposure Prophylaxis Delivery Among Potential Clients in Kenya: A Discrete Choice Experiment

Author(s)

Saldarriaga E1, Chen Y1, Montaño M2, Thuo N3, Kiptinness C3, Terris-Prestholt F4, Stergachis A1, Ortblad K2, Mugambi M1, Ngure K5, Sharma M1
1University of Washington, Seattle, WA, USA, 2Fred Hutchinson, Seattle, WA, USA, 3Partners in Health and Research Development, Thika, Kenya, 4London School of Hygiene and Tropical Medicine, London, UK, 5Jomo Kenyatta University of Agriculture and Technology, Juja, Kenya

OBJECTIVES: Daily oral pre-exposure prophylaxis (PrEP) is highly effective at preventing HIV acquisition, but coverage remains low in high-prevalence settings. Initiating and continuing PrEP online is a novel alternative to clinic-based services that could provide greater privacy, potentially improving uptake and long-term coverage. We conducted a discrete choice experiment (DCE) to assess preferences for obtaining PrEP through an online pharmacy among probable clients in Kenya.

METHODS: We developed a DCE administered in-person and advertised for recruitment through “MYDAWA”, a private Kenyan online-pharmacy retailer. Our target population was ≥18 years old, without a positive HIV diagnosis, interested in PrEP, and living in Nairobi. In eight choice-tasks, participants selected between two alternatives defined by characteristics (and levels), which included: PrEP eligibility (self-assessment, guided), HIV-test type (oral or blood self-test, provider-performed), clinical consultation type (remote, in-person), and user support (text message, call, email). We analyzed the data using a conditional logit model with an alternative-specific-constant to estimate characteristic-levels’ strength of preferences (SP) and confidence intervals (95%CI).

RESULTS: From May to November 2022, 772 participants completed the survey. Participants were mostly female–54%, residing in Nairobi–47%, without prior online-pharmacy experience–75%, and a median age of 25 years. Participants preferred: online-assessment (SP=0.04; 95%CI=0.01,0.07) to guided-assessment (-0.04; -0.07,-0.01); self-test (0.15; 0.10,0.19) to provider-based (-0.16; -0.22,-0.09); remote-consultation (0.13; 0.09,0.18) to in-person (-0.13; -0.18,-0.09); and call support (0.11; 0.07,0.15) to email (-0.19; -0.23,-0.14). Across characteristics, ‘PrEP eligibility’ was the least influential in participant decision-making. Relative to ‘PrEP eligibility’, ‘clinical consultation’ was 3.25 times as important; ‘user support’, 3.24; and ‘HIV-test type’, 2.10.

CONCLUSIONS: Overall, participants demonstrated strong preferences for online rather than in-person services, except for ‘user support’, which may indicate a desire for more personalized services only when problems or questions arise. Findings can inform the development of effective online PrEP delivery strategies in Kenya and similar settings.

Conference/Value in Health Info

2023-05, ISPOR 2023, Boston, MA, USA

Value in Health, Volume 26, Issue 6, S2 (June 2023)

Code

PCR158

Topic

Patient-Centered Research

Topic Subcategory

Patient Behavior and Incentives, Stated Preference & Patient Satisfaction

Disease

Infectious Disease (non-vaccine)

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