A Data Visualization and Dissemination Resource to Support HIV Prevention and Care at the Local Level: Analysis and Uses of the AIDSVu Public Data Resource.

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.

Risk Factors Associated With Repeated HIV Testing Among Internet-Using Men Who Have Sex With Men.

Men who have sex with men (MSM) represent a disproportionately impacted risk group for HIV incidence among at-risk U.S. POPULATIONS: Few studies have identified risk factors associated with HIV testing frequency both within and outside of traditional health care settings. MSM enrolled in a prospective cohort were mailed at-home specimen collection kits and followed for a year. Incidence density rate ratios (IDRR) of testing were calculated, and generalized estimating equations were used to analyze the association between HIV testing and behavioral factors. The incidence rate of testing was higher among Black MSM than White MSM (IDRR: 1.3, 95% confidence interval CI [1.1, 1.5]) and higher among MSM who reported 3+ condomless anal intercourse partners (CAI) than MSM who reported no CAI (IDRR: 1.6, 95% CI [1.3, 2.0]). Increasing availability of HIV testing outside traditional health care settings, including at-home testing kits, in conjunction with targeted behavioral interventions and biomedical treatment preventions is needed.

Factors Associated with Returning At-Home Specimen Collection Kits for HIV Testing among Internet-Using Men Who Have Sex with Men.

BACKGROUND: In the United States, men who have sex with men (MSM) are known to disproportionately have HIV. The authors sought to describe the acceptability of providing at-home dried blood spot specimen collection kits for HIV testing among MSM. METHODS: Between August 2010 and December 2010, the authors recruited Internet-using, HIV-negative or -unknown MSM to participate in a 12-month study of behavioral risks. Eligible participants were mailed an at-home HIV test. RESULTS: Of the 896 men who were sent a test kit, 735 (82%) returned the kit. Returning a test kit was significantly associated with race (P = .002), highest level of education (P = .012), and annual income (P = .026). The adjusted odds of black, non-Hispanic men returning a test kit were about half of the odds of white, non-Hispanic men returning a test kit (adjusted odds ratios: 0.49; 95% confidence intervals: 0.31-0.78). CONCLUSIONS: Men who have sex with men are willing to provide biological specimens as part of an Internet-based HIV prevention study.

Enhancing retention of an Internet-based cohort study of men who have sex with men (MSM) via text messaging: randomized controlled trial.

BACKGROUND: Black and Hispanic men who have sex with men (MSM) are disproportionately affected by HIV in the United States. The Internet is a promising vehicle for delivery of HIV prevention interventions to these men, but retention of MSM of color in longitudinal Internet-based studies has been problematic. Text message follow-up may enhance retention in these studies. OBJECTIVE: To compare retention in a 12-month prospective Internet-based study of HIV-negative MSM randomized to receive bimonthly follow-up surveys either through an Internet browser online or through text messages. METHODS: Internet-using MSM were recruited through banner advertisements on social networking and Internet-dating sites. White, black, and Hispanic men who were ≥18, completed an online baseline survey, and returned an at-home HIV test kit, which tested HIV negative, were eligible. Men were randomized to receive follow-up surveys every 2 months on the Internet or by text message for 12 months (unblinded). We used time-to-event methods to compare the rate of loss-to-follow-up (defined as non-response to a follow-up survey after multiple systematically-delivered contact attempts) in the 2 follow-up groups, overall and by race/ethnicity. Results are reported as hazard ratios (HR) and 95% confidence intervals (CI) of the rate of loss-to-follow-up for men randomized to text message follow-up compared to online follow-up. RESULTS: Of 1489 eligible and consenting men who started the online baseline survey, 895 (60%) completed the survey and were sent an at-home HIV test kit. Of these, 710 of the 895 (79%) returned the at-home HIV test kit, tested HIV-negative, and were followed prospectively. The study cohort comprised 66% white men (470/710), 15% (106/710) black men, and 19% (134/710) Hispanic men. At 12 months, 77% (282/366) of men randomized to online follow-up were retained in the study, compared to 70% (241/344) men randomized to text message follow-up (HR=1.30, 95% CI 0.97-1.73). The rate of loss-to-follow-up was non-significantly higher in the text message arm compared to the online arm for both white (HR=1.43, 95% CI 0.97-1.73) and Hispanic men (HR=1.71, 95% CI 0.91-3.23); however, loss-to-follow-up among black men was non-significantly lower among those who received text message follow-up compared to online follow-up (HR=0.78, 95% CI 0.41-1.50). In the online arm, black men were significantly more likely to be lost to follow-up compared to white men (HR=2.25, 95% CI 1.36-3.71), but this was not the case in the text message arm (HR=1.23, 95% CI 0.70-2.16). CONCLUSIONS: We retained >70% of MSM enrolled in an online study for 12 months; thus, engaging men in online studies for a sufficient time to assess sustained outcomes is possible. Text message follow-up of an online cohort of MSM is feasible, and may result in higher retention among black MSM.