BACKGROUND: To examine trends in state-level policy support for sexual minorities and HIV outcomes among men who have sex with men (MSM). METHODS: This longitudinal analysis linked state-level policy support for sexual minorities [N = 94 metropolitan statistical areas (MSAs) in 38 states] to 7 years of data (2008-2014) from the Centers for Disease Control and Prevention on HIV outcomes among MSM. Using latent growth mixture modeling, we combined 11 state-level policies (eg, nondiscrimination laws including sexual orientation as a protected class) from 1999 to 2014, deriving the following 3 latent groups: consistently low policy support, consistently high policy support, and increasing trajectory of policy support. Outcomes were HIV diagnoses per 10,000 MSM, late diagnoses (number of deaths within 12 months of HIV diagnosis and AIDS diagnoses within 3 months of HIV diagnosis) per 10,000 MSM, AIDS diagnoses per 10,000 MSM with HIV, and AIDS-related mortality per 10,000 MSM with AIDS. RESULTS: Compared with MSAs in states with low policy support and increasing policy support for sexual minorities, MSAs in states with the highest level of policy support had lower risks of HIV diagnoses [risk difference (RD) = -37.9, 95% confidence interval (CI): -54.7 to -21.0], late diagnoses (RD = -12.5, 95% CI: -20.4 to -4.7), and AIDS-related mortality (RD = -33.7, 95% CI: -61.2 to -6.2), controlling for time and 7 MSA-level covariates. In low policy support states, 27% of HIV diagnoses, 21% of late diagnoses, and 10% of AIDS deaths among MSM were attributable to the policy climate. CONCLUSION: The state-level policy climate related to sexual minorities was associated with HIV health outcomes among MSM and could be a potential public health tool for HIV prevention and care.

Over 30 years into the US HIV/AIDS epidemic, Black men who have sex with men (BMSM) continue to carry the highest burden of both HIV and AIDS cases. There is then, an urgent need to expand access to HIV prevention and treatment for all gay and bisexual men, underscoring the importance of the federal initiative ‘Ending the Epidemic: A Plan for America’. This research examines structural factors associated with BMSM HIV testing coverage over time (2011–2016) in 85 US Metropolitan Statistical Areas (MSAs). We calculated MSA-specific annual measures of BMSM HIV testing coverage (2011–2016). Variables suggested by the Theory of Community Action (i.e., need, resource availability, institutional opposition and organized support) were analyzed as possible predictors of coverage using multilevel modeling. Relationships between BMSM HIV testing and the following covariates were positive: rates of BMSM living with HIV (b = 0.28), percent of Black residents employed (b = 0.19), Black heterosexual testing rate (b = 0.46), health expenditures per capita (b = 0.16), ACT UP organization presence in 1992 (b = 0.19), and syringe service presence (b = 0.12). Hard drug arrest rates at baseline (b = − 0.21) and change since baseline (b = − 0.10) were inversely associated with the outcome. Need, resources availability, organized support and institutional opposition are important determinants of place associated with BMSM HIV testing coverage. Efforts to reduce HIV incidence and lessen AIDS-related disparities among BMSM in the US require improved and innovative HIV prevention approaches directed toward BMSM including a fuller understanding of structural factors that may influence place variation in BMSM testing patterns and risk behavior in places of high need.

Objectives Emerging literature shows that racialised police brutality, a form of structural racism, significantly affects health and well-being of racial/ethnic minorities in the USA. While public health research suggests that structural racism is a distal determinant of sexually transmitted infections (STIs) among Black people, no studies have empirically linked police violence to STIs. To address this gap, our study measures associations between police killings and rates of STIs among Black residents of US metropolitan statistical areas (MSAs). Methods This cross-sectional ecological analysis assessed associations between the number of Black people killed by police in 2015 and rates of primary and secondary syphilis, gonorrhoea and chlamydia per 100 000 Black residents of all ages in 2016 in 75 large MSAs. Multivariable models controlled for MSA-level demographic and socioeconomic characteristics, police expenditures, violent crime, arrest and incarceration rates, insurance rates and healthcare funding. Results In 2015, the median number of Black people killed by police per MSA was 1.0. In multivariable models, police killings were positively and significantly associated with syphilis and gonorrhoea rates among Black residents. Each additional police killing in 2015 was associated with syphilis rates that were 7.5% higher and gonorrhoea rates that were 4.0% higher in 2016. Conclusions Police killings of Black people may increase MSA-level risk of STI infections among Black residents. If future longitudinal analyses support these findings, efforts to reduce STIs among Black people should include reducing police brutality and addressing mechanisms linking this violence to STIs.

Purpose: To assess cross-population linkages in HIV/AIDS epidemics, we tested the hypothesis that the number of newly diagnosed AIDS cases among Black people who inject drugs (PWID) was positively related to the natural log of the rate of newly diagnosed HIV infections among Black non-PWID heterosexuals in 84 large U.S. metropolitan statistical areas (MSAs) in 2008–2016. Methods: We estimated a multilevel model centering the time-varying continuous exposures at baseline between the independent (Black PWID AIDS rates) and dependent (HIV diagnoses rate among Black heterosexuals) variables. Results: At MSA level, baseline (standardized β = 0.12) Black PWID AIDS rates and change in these rates over time (standardized β = 0.11) were positively associated with the log of new HIV diagnoses rates among Black heterosexuals. Thus, MSAs with Black PWID AIDS rates that were 1 standard deviation= higher at baseline also had rates of newly diagnosed HIV infections among Black non-PWID heterosexuals that were 10.3% higher. A 1 standard deviation increase in independent variable over time corresponded to a 7.8% increase in dependent variable. Conclusions: Black PWID AIDS rates may predict HIV rates among non-PWID Black heterosexuals. Effective HIV programming may be predicated, in part, on addressing intertwining of HIV epidemics across populations.

Purpose: After years of stable or declining HIV prevalence and declining incidence among people who inject drugs (PWID) in the United States, some rapidly emerging outbreaks have recently occurred in new areas (e.g., Scott County, Indiana). However, to our knowledge, trends over time in HIV prevalence among PWID in US metropolitan statistical areas (MSAs) across all major regions of the country have not been systematically estimated beyond 2002, and the extent to which HIV prevalence may be increasing in other areas is largely unknown. This article estimates HIV prevalence among PWID in 89 of the most populated US MSAs, both overall and by geographic region, using more recent surveillance and HIV testing data. Methods: We computed MSA-specific annual estimates of HIV prevalence (both diagnosed and undiagnosed infections) among PWID for these 89 MSAs, for 1992–2013, using several data series from the Centers for Disease Control and Prevention's (CDC) National HIV Surveillance System and National HIV Prevention Monitoring and Evaluation data; Holmberg's (1997) estimates of 1992 PWID population size and of HIV prevalence and incidence among PWID; and research estimates from published literature using 1992–2013 data. A mixed effects model, with time nested within MSAs, was used to regress the literature review estimates on all of the other data series. Multiple imputation was used to address missing data. Resulting estimates were validated using previous 1992–2002 estimates of HIV prevalence and data on antiretroviral (ARV) prescription volumes and examined for patterns based on geographic region, numbers of people tested for HIV, and baseline HIV prevalence. Results: Mean (across all MSAs) trends over time suggested decreases through 2002 (from approximately 11.4% in 1992 to 9.2% in 2002), followed by a period of stability, and steep increases after 2010 (to 10.6% in 2013). Validation analyses found a moderate positive correlation between our estimates and ARV prescription volumes (r = 0.45), and a very strong positive correlation (r = 0.94) between our estimates and previous estimates by Tempalski et al. (2009) for 1992–2002 (which used different methods). Analysis by region and baseline prevalence suggested that mean increases in later years were largely driven by MSAs in the Western United States and by MSAs in the Midwest that had low baseline prevalence. Our estimates suggest that prevalence decreased across all years in the Eastern United States. These trends were particularly clear when MSAs with very low numbers of people tested for HIV were removed from analyses to reduce unexplained variability in mean trajectories. Conclusions: Our estimates suggest a fairly large degree of variation in 1992–2013 trajectories of PWID HIV prevalence among 89 US MSAs, particularly by geographic region. They suggest that public health responses in many MSAs (particularly those with larger HIV prevalence among PWID in the early 1990s) were sufficient to decrease or maintain HIV prevalence over time. However, future research should investigate potential factors driving the estimated increase in prevalence after 2002 MSAs in the West and Midwest. These findings have potentially important implications for program and/or policy decisions, but estimates for MSAs with low HIV testing denominators should be interpreted with caution and verified locally before planning action.

Purpose: The challenges of producing adequate estimates of HIV prevalence among men who have sex with men (MSM) are well known. No one, to our knowledge, has published annual estimates of HIV prevalence among MSM over an extended period and across a wide range of geographic areas. Methods: This article applies multilevel modeling to data integrated from numerous sources to estimate and validate trajectories of HIV prevalence among MSM from 1992 to 2013 for 86 of the largest metropolitan statistical areas in the United States. Results: Our estimates indicate that HIV prevalence among MSM increased, from an across–metropolitan statistical area mean of 11% in 1992 to 20% in 2013 (S.D. = 3.5%). Our estimates by racial/ethnic subgroups of MSM suggest higher mean HIV prevalence among black and Hispanic/Latino MSM than among white MSM across all years and geographic regions. Conclusions: The increases found in HIV prevalence among all MSM are likely primarily attributable to decreases in mortality and perhaps also to increasing HIV incidence among racial/ethnic minority MSM. Future research is needed to confirm this. If true, health care initiatives should focus on targeted HIV prevention efforts among racial/ethnic minority MSM and on training providers to address cross-cutting health challenges of increased longevity among HIV-positive MSM.

Men who have sex with men (MSM) are the group at highest risk for HIV in China. Researchers have used various recruitment methods to reach this population hidden from the hetero-normative culture. To inform future recruitment strategies, we compared estimates of socio-demographic characteristics, HIV risk behaviors, depression, and intimate partner violence (IPV) across three samples of MSM and money boys in Shanghai, China. Data were collected from three community-based samples of MSM and money boys (n = 1352) recruited via respondent-driven sampling (RDS) (n = 404), community popular opinion leaders (CPOL) (n = 385), and Internet and venue-based sampling (VBS) (n = 546). Different recruitment methods generated samples with statistically significant differences among a number of socio-demographic characteristics, sexual behaviors, drug use, depression scores, and exposure to IPV. Specifically, RDS participants had lower education (p =.002), income levels (p <.001), and were more likely to report condomless sex with a woman (p <.001). CPOL participants were younger (p <.001), more likely to report lifetime condomless anal sex (p =.009), more than 10 male partners in the past 30 days (p <.001), and were less likely to experience violence by a male intimate partner (p =.001). VBS participants had lowest depression score (p =.005) and were more likely to report lifetime drug use (p =.003). Our findings reinforce that each recruitment method may reach a sub-group of MSM with a specific risk profile, so multiple methods may be needed to obtain a representative sample of MSM. Interventions may use specific recruitment methods to target certain segments of the MSM population.

Background: Rural Kentucky is an epicenter of hepatitis C(HCV), especially among young adults who inject drugs. While the Risk Environment Framework (REF) has been used widely to study and address socio-ecological determinants of infectious disease among people who inject drugs (PWID), it has been almost exclusively applied to urban environments. Applying REF to rural environments can enhance our understanding of the drivers of HCV epidemics in these hard-hit areas, and inform the creation and implementation of harm reduction interventions in this local context. Methods: Participants were recruited between March and August 2017 via community-based outreach methods (e.g., cookouts, flyers) and peer referral. Individuals who met eligibility criteria (aged 18–35, recently used prescription opioids and/or heroin to get high, lived in one of the 5 target counties) participated indepth, semi-structured interviews. The interview guide was informed by the REF, and covered HCV-related risk behaviors and environmental features that shaped vulnerability to engaging in these behaviors. Interviews were transcribed and analyzed using constructivist grounded-theory methods. Results: Participants (N=19) described multiple intersecting risk environment features that shaped vulnerability to HCV transmission. Economic decline generated intergenerational poverty, dwindling employment prospects, and diminished social enrichment opportunities that collectively contributed to substance misuse and risky injection practices. Geographic isolation, lack of collective knowledge about HCV transmission risks, scarce harm reduction services, familial poverty, and fear of law enforcement interacted to increase the odds of people injecting in “trap houses” (akin to shooting galleries) or secluded areas, spaces in which they rushed to inject and shared injection equipment. Pervasive stigma was a structural barrier to adopting, expanding, and using harm reduction services. Conclusion: This exploratory study identified features of rural risk environments that may contribute to significant HCV burdens in Appalachian Kentucky. Findings signal the importance of expanding proven harm reduction strategies and anti-stigma interventions tailored to rural contexts.

BACKGROUND: Epicenters of harmful drug use are expanding to US rural areas, with rural young adults bearing a disproportionate burden. A large body of work suggests that place characteristics (eg, spatial access to health services) shape vulnerability to drug-related harms among urban residents. Research on the role of place characteristics in shaping these harms among rural residents is nascent, as are methods of gathering place-based data. OBJECTIVE: We (1) analyzed whether young rural adults who used drugs answered self-administered Web-based mapping items about locations where they engaged in risk behaviors and (2) determined the precision of mapped locations. METHODS: Eligible individuals had to report recently using opioids to get high; be aged between 18 and 35 years; and live in the 5-county rural Appalachian Kentucky study area. We used targeted outreach and peer-referral methods to recruit participants. The survey asked participants to drop a pin in interactive maps to mark where they completed the survey, and where they had slept most; used drugs most; and had sex most in the past 6 months. Precision was assessed by (1) determining whether mapped locations were within 100 m of a structure and (2) calculating the Euclidean distance between the pin-drop home location and the street address where participants reported sleeping most often. Measures of central tendency and dispersion were calculated for all variables; distributions of missingness for mapping items and for the Euclidean distance variable were explored across participant characteristics. RESULTS: Of the 151 participants, 88.7% (134/151) completed all mapping items, and ≥92.1% (>139/151) dropped a pin at each of the 4 locations queried. Missingness did not vary across most participant characteristics, except that lower percentages of full-time workers and peer-recruited participants mapped some locations. Two-thirds of the pin-drop sex and drug use locations were less than 100 m from a structure, as were 92.1% (139/151) of pin-drop home locations. The median distance between the pin-drop and street-address home locations was 2.0 miles (25th percentile=0.8 miles; 75th percentile=5.5 miles); distances were shorter for high-school graduates, staff-recruited participants, and participants reporting no technical difficulties completing the survey. CONCLUSIONS: Missingness for mapping items was low and unlikely to introduce bias, given that it varied across few participant characteristics. Precision results were mixed. In a rural study area of 1378 square miles, most pin-drop home addresses were near a structure; it is unsurprising that fewer drug and sex locations were near structures because most participants reported engaging in these activities outside at times. The error in pin-drop home locations, however, might be too large for some purposes. We offer several recommendations to strengthen future research, including gathering metadata on the extent to which participants zoom in on each map and recruiting participants via trusted staff.

Background: Sharing injection equipment remains an important rout of transmission of HIV and HCV infections in the region of Eastern Europe and Central Asia. Tajikistan is one of the most affected countries with high rates of injection drug use and related epidemics.The aim of this qualitative study was to describe drug use practices and related behaviors in two Tajik cities - Kulob and Khorog. Methods: Twelve focus group discussions (6 per city) with 100 people who inject drugs recruited through needle and syringe program (NSP) outreach in May 2014. Topics covered included specific drugs injected, drug prices and purity, access to sterile equipment, safe injection practices and types of syringes and needles used. Qualitative thematic analysis was performed using NVivo 10 software. Results: All participants were male and ranged in age from 20 to 78 years. Thematic analysis showed that cheap Afghan heroin, often adulterated by dealers with other admixtures, was the only drug injected. Drug injectors often added Dimedrol (Diphenhydramine) to increase the potency of "low quality" heroin. NSPs were a major source of sterile equipment. Very few participants report direct sharing of needles and syringes. Conversely, many participants reported preparing drugs jointly and sharing injection paraphernalia. Using drugs in an outdoor setting and experiencing withdrawal were major contributors to sharing equipment, using non-sterile water, not boiling and not filtering the drug solution. Conclusion: Qualitative research can provide insights into risk behaviors that may be missed in quantitative studies. These finding have important implications for planning risk reduction interventions in Tajikistan. Prevention should specifically focus on indirect sharing practices.