PrEP Use and Correlates of Use Among a Large, Urban Sample of Men and Transgender Persons Who Have Sex with Men.

We examined recent pre-exposure prophylaxis (PrEP) use (past 6 months) and its correlates among a large sample of men who have sex with men and transgender and gender non-conforming persons participating in a home HIV self-testing program conducted by the New York City Health Department between 11/2016 and 1/2017. Correlates examined included demographic characteristics and HIV-related behaviors in the past 6 months. Associations with recent PrEP use were assessed using log-binomial regression. 400 (22.5%) of 1776 participants reported recent PrEP use. In adjusted models, recent PrEP use was associated with Manhattan residence [adjusted prevalence ratio (aPR) 1.26; 95% confidence interval (CI) (1.04, 1.53)], higher income [aPR 1.29; 95% CI (1.03, 1.62)], and having insurance [aPR 1.89; 95% CI (1.33, 2.69)]. All HIV-related behaviors, except for injection drug use, were individually associated with PrEP use. More research is needed to better understand barriers to PrEP use among patients who are low income and/or uninsured as this may help improve current public health efforts to increase PrEP uptake among disproportionately impacted populations.

Five Waves of an Online HIV Self-Test Giveaway in New York City, 2015 to 2018.

BACKGROUND: HIV self-tests increase HIV status awareness by providing convenience and privacy, although cost and access may limit use. Since 2015, the New York City (NYC) Health Department has conducted 5 waves of an online Home Test Giveaway. METHODS: We recruited adult cisgender men who have sex with men (MSM) and transgender and gender-nonconforming (TGNC) individuals who had sex with men, who were living in NYC, not previously HIV diagnosed, and using paid digital advertisements (4-8 weeks per wave). Eligible respondents were e-mailed a code to redeem on the manufacturer's website for a free HIV self-test and an online follow-up survey ~2 months later. For key process and outcome measures, we present means across 5 waves. RESULTS: Across the 5 waves of Home Test Giveaway, there were 28,921 responses to the eligibility questionnaire: 17,383 were eligible, 12,182 redeemed a code for a free HIV self-test, and 7935 responded to the follow-up survey (46% of eligible responses). Among eligible responses, approximately half were Latino/a (mean, 32%) or non-Latino/a, black (mean, 17%). Mean report of never testing before was 16%. Among 5903 follow-up survey responses who reported test use, 32 reported reactive results with no known previous diagnosis (0.54%), of whom 78% reported receiving confirmatory testing. Report of likelihood of recommending the Home Test Giveaway to friends was high (mean, 96%). CONCLUSIONS: We recruited diverse NYC MSM and TGNC and distributed a large number of HIV self-tests to them. Among respondents who reported newly reactive tests, the majority reported confirmatory testing. This seems to be one acceptable way to reach MSM and TGNC for HIV testing, including those who have never tested before.

Preexposure Prophylaxis Monitoring in New York City: A Public Health Approach.

The scale-up of preexposure prophylaxis (PrEP) represents a paradigm shift in HIV prevention that poses unique challenges for public health programs. Monitoring of PrEP implementation at the population level is a national priority, with particular significance in New York City (NYC) given the substantial HIV burden and the prominence of PrEP in state and local Ending the Epidemic program plans. We highlight the importance of local monitoring and evaluation of PrEP implementation outcomes and describe the experience at the NYC Health Department, which includes engaging communities, triangulating a variety of data sources regarding PrEP implementation, and leveraging those data to help guide programming. In NYC, we used data from national surveillance systems and incorporated PrEP-related indicators into existing local data collection systems to help illustrate gaps in PrEP awareness and use. Ultimately, ensuring that PrEP achieves the desired impact at the population level depends on identifying disparities through appropriate and accurate measurement, and addressing them through evidence-based programs.