The number of individuals who have started a regimen for HIV pre-exposure prophylaxis (PrEP) in the United States is not well characterized but has been on the rise since 2012. This analysis assesses the distribution of PrEP use nationally and among subgroups. A validated algorithm quantifying tenofovir disoproxil fumarate/emtricitabine for PrEP in the United States was applied to a national prescription database to determine the quarterly prevalence of PrEP use. HIV diagnoses from 2016 were used as an epidemiological proxy for PrEP need. The PrEP-to-need ratio (PnR) was defined as the number of PrEP users divided by new HIV diagnoses. A total of 70,395 individuals used PrEP in the fourth quarter of 2017: 67,166 males and 3229 females. Nationally, prevalence of PrEP use was 26/100,000 (range across states per 100,000 [RAS/100k]: 4-73) and the PnR was 1.8 (RAS: 0.5-6.6). Prevalence of PrEP use among males and females, respectively, was 50/100,000 and 2/100,000 (RAS/100k: 7-143 and 0.3-7) and PnR was 2.1 and 0.4 (RAS: 0.6-7.1 and 0.1-4.0). Prevalence of PrEP use was lowest among individuals aged less than or equal to 24 and more than or equal to 55 years (15/100,000 and 6/100,000, RAS/100k: 1-45 and 0.4-14), with PnR 0.9 and 1.5 (RAS: 0.2-5.6 and 0.3-7.0). The Northeast had the highest PnR (3.3); the South had the lowest (1.0). States with Medicaid expansion had more than double the PnR than states without expansion. Available data suggest that females, individuals aged less than or equal to 24 years and residents of the South had lower levels of PrEP use relative to epidemic need. These results are ecological, and misclassification may attenuate results. PnR is useful for future assessments of HIV prevention strategy uptake.

Background: AIDSVu is a public resource for visualizing HIV surveillance data and other population-based information relevant to HIV prevention, care, policy, and impact assessment. Objective: The site, AIDSVu.org, aims to make data about the US HIV epidemic widely available, easily accessible, and locally relevant to inform public health decision making. Methods: AIDSVu develops visualizations, maps, and downloadable datasets using results from HIV surveillance systems, other population-based sources of information (eg, US Census and national probability surveys), and other data developed specifically for display and dissemination through the website (eg, pre-exposure prophylaxis [PrEP] prescriptions). Other types of content are developed to translate surveillance data into summarized content for diverse audiences using infographic panels, interactive maps, local and state fact sheets, and narrative blog posts. Results: Over 10 years, AIDSVu.org has used an expanded number of data sources and has progressively provided HIV surveillance and related data at finer geographic levels, with current data resources providing HIV prevalence data down to the census tract level in many of the largest US cities. Data are available at the county level in 48 US states and at the ZIP Code level in more than 50 US cities. In 2019, over 500,000 unique users consumed AIDSVu data and resources, and HIV-related data and insights were disseminated through nearly 4,000,000 social media posts. Since AIDSVu’s inception, at least 249 peer-reviewed publications have used AIDSVu data for analyses or referenced AIDSVu resources. Data uses have included targeting of HIV testing programs, identifying areas with inequitable PrEP uptake, including maps and data in academic and community grant applications, and strategically selecting locations for new HIV treatment and care facilities to serve high-need areas. Conclusions: Surveillance data should be actively used to guide and evaluate public health programs; AIDSVu translates high-quality, population-based data about the US HIV epidemic and makes that information available in formats that are not consistently available in surveillance reports. Bringing public health surveillance data to an online resource is a democratization of data, and presenting information about the HIV epidemic in more visual formats allows diverse stakeholders to engage with, understand, and use these important public health data to inform public health decision making.

Introduction: Preexposure prophylaxis (PrEP) is a promising approach to reducing HIV incidence. So, garnering the support of HIV providers, who are most familiar with antiretrovirals and likely to encounter patients in HIV serodiscordant relationships, to scale-up PrEP implementation is essential. We sought to determine whether certain subgroups of HIV providers were more likely to intend to prescribe PrEP. Methods: Surveys were administered to HIV providers in Miami, Florida and Washington, District of Columbia. Composite scores were developed to measure PrEP knowledge, experience, and likelihood of prescribing. Latent class analysis was used to stratify provider attitudes toward PrEP. Results: Among 142 HIV providers, 73.2% had cared for more than 20 HIV-infected patients in the previous 3 months; 17% had ever prescribed PrEP. Latent class analysis identified 2 classes of providers (entropy, 0.904); class 1 (n = 95) found PrEP less effective and perceived barriers to prescribing it; class 2 (n = 47) perceived PrEP as moderately effective and perceived fewer barriers to prescribing it. Compared with class 2, class 1 had significantly less experience with PrEP delivery (t(22.7) = 2.88, P = 0.009) and was significantly less likely to intend to prescribe to patients with multiple sex partners (20% vs. 43%, P = 0.04) and those with a drug use history (7% vs. 24%, P = 0.001). Conclusions: Although most HIV providers found PrEP to be effective, those considering it less effective had limited knowledge and experience with PrEP and had lesser intentions to prescribe. Provider training regarding whom should receive PrEP and addressing potential barriers to PrEP provision are needed if this HIV prevention method is to be optimized.

One goal of the HIV care continuum is achieving viral suppression (VS), yet disparities in suppression exist among subpopulations of HIV-infected persons. We sought to identify disparities in both the ability to achieve and sustain VS among an urban cohort of HIV-infected persons in care. Data from HIV-infected persons enrolled at the 13 DC Cohort study clinical sites between January 2011 and June 2014 were analyzed. Univariate and multivariate logistic regression were conducted to identify factors associated with achieving VS (viral load < 200 copies/ml) at least once, and Kaplan–Meier (KM) curves and Cox proportional hazards models were used to identify factors associated with sustaining VS and time to virologic failure (VL ≥ 200 copies/ml after achievement of VS). Among the 4311 participants, 95.4% were either virally suppressed at study enrollment or able to achieve VS during the follow-up period. In multivariate analyses, achieving VS was significantly associated with age (aOR: 1.04; 95%CI: 1.03–1.06 per five-year increase) and having a higher CD4 (aOR: 1.05, 95% CI 1.04–1.06 per 100 cells/mm³). Patients infected through perinatal transmission were less likely to achieve VS compared to MSM patients (aOR: 0.63, 95% CI 0.51–0.79). Once achieved, most participants (74.4%) sustained VS during follow-up. Blacks and perinatally infected persons were less likely to have sustained VS in KM survival analysis (log rank chi-square p ≤ .001 for both) compared to other races and risk groups. Earlier time to failure was observed among females, Blacks, publically insured, perinatally infected, those with longer standing HIV infection, and those with diagnoses of mental health issues or depression. Among this HIV-infected cohort, most people achieved and maintained VS; however, disparities exist with regard to patient age, race, HIV transmission risk, and co-morbid conditions. Identifying populations with disparate outcomes allows for appropriate targeting of resources to improve outcomes along the care continuum.

Background: The District of Columbia Department of Health funds facilities to provide HIV medical case management (MCM), inclusive of linkage, engagement in care, and treatment adherence support. The objective of this analysis was to identify the differences in the clinical outcomes among HIV-infected persons receiving care at MCM-funded facilities compared with those in nonfunded facilities. Methods: Newly diagnosed and prevalent HIV-infected persons were identified from the District of Columbia Department of Health surveillance system. Clinical outcomes of interest were linkage, retention in care, and viral suppression. Bivariate analyses and random effects logistic regression were used to examine the differences in demographics and clinical outcomes of persons receiving care at MCM-funded and nonfunded facilities. Results: Among 5631 prevalent cases, 56.7% received care at MCM-funded facilities of which 76.2% were retained in care, and 70.6% achieved viral suppression. Those receiving care in MCM-funded facilities were significantly more likely to be retained in care [adjusted odds ratio (aOR) 4.13; 95% confidence interval (CI): 1.93 to 8.85] and as likely (aOR 1.06; 95% CI: 0.68 to 1.62) to be virally suppressed than persons receiving care in nonfunded facilities. Among 789 newly diagnosed persons, those diagnosed in MCM-funded facilities were not significantly more likely to be linked to care within 3 months (aOR 0.50; 95% CI: 0.21 to 1.18) than those diagnosed in nonfunded facilities. Discussion: This study provides evidence that MCM may be beneficial to HIV-infected persons in DC by improving retention in care. Further identification of the specific services providing the most benefit to clients is needed, including a better understanding of the complex relationship between retention and viral suppression.

Background: An estimated 50% of adolescents and young adults (AYA) living with HIV are failing to adhere to prescribed antiretroviral treatment (ART). Digital games are effective in chronic disease management; however, research on gaming to improve ART adherence among AYA is limited. Objective: We assessed the feasibility and acceptability of video gaming to improve AYA ART adherence. Methods: Focus group discussions and surveys were administered to health care providers and AYA aged 13 to 24 years living with HIV at a pediatric HIV program in Washington, DC. During focus group discussions, AYA viewed demonstrations of 3 game prototypes linked to portable Wisepill medication dispensers. Content analysis strategies and thematic coding were used to identify adherence themes and gaming acceptance and feasibility. Likert scale and descriptive statistics were used to summarize response frequencies. Results: Providers (n=10) identified common adherence barriers and strategies, including use of gaming analogies to improve AYA ART adherence. Providers supported exploration of digital gaming as an adherence intervention. In 6 focus group discussions, 12 AYA participants identified disclosure of HIV status and irregular daily schedules as major barriers to ART and use of alarms and pillboxes as reminders. Most AYA were very or somewhat likely to use the demonstrated game prototypes to help with ART adherence and desired challenging, individually tailored, user-friendly games with in-game incentives. Game prototypes were modified accordingly. Conclusions: AYA and their providers supported the use of digital games for ART adherence support. Individualization and in-game incentives were preferable and informed the design of an interactive technology-based adherence intervention among AYA living with HIV.