Please use this identifier to cite or link to this item:
https://doi.org/10.1007/s40258-019-00549-5
DC Field | Value | |
---|---|---|
dc.title | Promoting HIV Testing by Men: A Discrete Choice Experiment to Elicit Preferences and Predict Uptake of Community-based Testing in Uganda | |
dc.contributor.author | Schaffer, Elisabeth M | |
dc.contributor.author | Gonzalez, Juan Marcos | |
dc.contributor.author | Wheeler, Stephanie B | |
dc.contributor.author | Kwarisiima, Dalsone | |
dc.contributor.author | Chamie, Gabriel | |
dc.contributor.author | Thirumurthy, Harsha | |
dc.date.accessioned | 2023-05-22T04:44:49Z | |
dc.date.available | 2023-05-22T04:44:49Z | |
dc.date.issued | 2020-06 | |
dc.identifier.citation | Schaffer, Elisabeth M, Gonzalez, Juan Marcos, Wheeler, Stephanie B, Kwarisiima, Dalsone, Chamie, Gabriel, Thirumurthy, Harsha (2020-06). Promoting HIV Testing by Men: A Discrete Choice Experiment to Elicit Preferences and Predict Uptake of Community-based Testing in Uganda. Applied Health Economics and Health Policy 18 (3) : 413-432. ScholarBank@NUS Repository. https://doi.org/10.1007/s40258-019-00549-5 | |
dc.identifier.issn | 1175-5652 | |
dc.identifier.issn | 1179-1896 | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/239615 | |
dc.description.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. | |
dc.publisher | Springer Science and Business Media LLC | |
dc.source | Elements | |
dc.type | Article | |
dc.date.updated | 2023-05-19T07:55:17Z | |
dc.contributor.department | DUKE-NUS MEDICAL SCHOOL | |
dc.description.doi | 10.1007/s40258-019-00549-5 | |
dc.description.sourcetitle | Applied Health Economics and Health Policy | |
dc.description.volume | 18 | |
dc.description.issue | 3 | |
dc.description.page | 413-432 | |
dc.published.state | Published | |
Appears in Collections: | Staff Publications Elements |
Show simple item record
Files in This Item:
File | Description | Size | Format | Access Settings | Version | |
---|---|---|---|---|---|---|
Schaffer_2020_DCE HIV Testing Preferences.pdf | Published version | 990.35 kB | Adobe PDF | CLOSED | None |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.