Elisabeth M Schaffer1,2, Juan Marcos Gonzalez3, Stephanie B Wheeler4, Dalsone Kwarisiima5, Gabriel Chamie6, Harsha Thirumurthy7. 1. Data Science to Patient Value, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, USA. Elisabeth.Schaffer@CUAnschutz.edu. 2. Department of Health Policy and Management, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. Elisabeth.Schaffer@CUAnschutz.edu. 3. Duke Clinical Research Institute, Durham, NC, USA. 4. Department of Health Policy and Management, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. 5. Makerere University Joint AIDS Program, Kampala, Uganda. 6. Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California San Francisco, San Francisco, CA, USA. 7. Department of Medical Ethics & Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Abstract
BACKGROUND AND OBJECTIVES: HIV testing is essential to access HIV treatment and care and plays a critical role in preventing transmission. Despite this, testing coverage is low among men in sub-Saharan Africa. Community-based testing has demonstrated potential to expand male testing coverage, yet scant evidence reveals how community-based services can be designed to optimize testing uptake. We conducted a discrete choice experiment (DCE) to elicit preferences and predict uptake of community-based testing by men in Uganda. METHODS: Hypothetical choices between alternative community-based testing services and the option to opt-out of testing were presented to a random, population-based sample of 203 adult male residents. The testing alternatives varied by service delivery model (community health campaign, counselor-administered home-based testing, distribution of HIV self-test kits at local pharmacies), availability of multi-disease testing, access to antiretroviral therapy (ART), and provision of a US$0.85 incentive. We estimated preferences using a random parameters logit model and explored whether preferences varied by participant characteristics through subgroup analyses. We simulated uptake when a single and when two community-based testing services are made available, using reference values of observed uptake to calibrate predictions. RESULTS: The share of the adult male population predicted to test for HIV ranged from 0.15 to 0.91 when a single community-based testing service is made available and from 0.50 to 0.96 when two community-based services are provided concurrently. ART access was the strongest driver of choices (relative importance [RI] = 3.01, 95% confidence interval [CI]: 1.74-4.29), followed by the service delivery model (RI = 1.27, 95% CI 0.72-1.82) and availability of multi-disease testing (RI = 1.27, 95% CI 0.09-2.45). A US$0.85 incentive had the least yet still significant influence on choices (RI = 0.77, 95% CI 0.06-1.49). Men who perceived their risk of having HIV to be relatively elevated had higher predicted uptake of HIV self-test kits at local pharmacies, as did young adult men compared to men aged ≥ 30 years. Men who earned ≤ the daily median income had higher predicted uptake of all community-based testing services versus men who earned above the daily median income. CONCLUSION: Substantial opportunity exists to optimize the delivery of HIV testing to expand uptake by men; using an innovative DCE, we deliver timely, actionable guidance for promoting community-based testing by men in Uganda. We advance the stated preference literature methodologically by describing how we constructed and evaluated a pragmatic experimental design, used interaction terms to conduct subgroup analyses, and harnessed participant-specific preference estimates to predict and calibrate testing uptake.
BACKGROUND AND OBJECTIVES: HIV testing is essential to access HIV treatment and care and plays a critical role in preventing transmission. Despite this, testing coverage is low among men in sub-Saharan Africa. Community-based testing has demonstrated potential to expand male testing coverage, yet scant evidence reveals how community-based services can be designed to optimize testing uptake. We conducted a discrete choice experiment (DCE) to elicit preferences and predict uptake of community-based testing by men in Uganda. METHODS: Hypothetical choices between alternative community-based testing services and the option to opt-out of testing were presented to a random, population-based sample of 203 adult male residents. The testing alternatives varied by service delivery model (community health campaign, counselor-administered home-based testing, distribution of HIV self-test kits at local pharmacies), availability of multi-disease testing, access to antiretroviral therapy (ART), and provision of a US$0.85 incentive. We estimated preferences using a random parameters logit model and explored whether preferences varied by participant characteristics through subgroup analyses. We simulated uptake when a single and when two community-based testing services are made available, using reference values of observed uptake to calibrate predictions. RESULTS: The share of the adult male population predicted to test for HIV ranged from 0.15 to 0.91 when a single community-based testing service is made available and from 0.50 to 0.96 when two community-based services are provided concurrently. ART access was the strongest driver of choices (relative importance [RI] = 3.01, 95% confidence interval [CI]: 1.74-4.29), followed by the service delivery model (RI = 1.27, 95% CI 0.72-1.82) and availability of multi-disease testing (RI = 1.27, 95% CI 0.09-2.45). A US$0.85 incentive had the least yet still significant influence on choices (RI = 0.77, 95% CI 0.06-1.49). Men who perceived their risk of having HIV to be relatively elevated had higher predicted uptake of HIV self-test kits at local pharmacies, as did young adult men compared to men aged ≥ 30 years. Men who earned ≤ the daily median income had higher predicted uptake of all community-based testing services versus men who earned above the daily median income. CONCLUSION: Substantial opportunity exists to optimize the delivery of HIV testing to expand uptake by men; using an innovative DCE, we deliver timely, actionable guidance for promoting community-based testing by men in Uganda. We advance the stated preference literature methodologically by describing how we constructed and evaluated a pragmatic experimental design, used interaction terms to conduct subgroup analyses, and harnessed participant-specific preference estimates to predict and calibrate testing uptake.
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