Objective: To determine the willingness to discuss and be screened for pre-exposure prophylaxis (PrEP) in pharmacies among MSM. Methods: Led by Georgia’s Fulton County Board of Health, this study surveyed individuals who attended 2 Atlanta-based Gay Pride events in 2018. This analysis was limited to those who identified as men who have sex with men (MSM) who were not HIV positive and reported never using PrEP. Multivariable regression was used to determine the correlates of willingness to discuss and be screened for PrEP in-pharmacy. Results: Most (69%) were willing to discuss PrEP with pharmacy staff and 61.35% were willing to be screened for PrEP in-pharmacy. Those who were interested in PrEP were significantly more willing to discuss PrEP in-pharmacy compared to those not interested in PrEP (prevalence ratio [PR]: 1.65; 95% confidence interval [95% CI]: 1.11-2.48). Race was not associated with willingness to discuss PrEP with pharmacy staff. However, black MSM (BMSM) were less willing to be screened in pharmacies than white MSM, until we accounted for interest in PrEP (PR: 1.27; 95% CI: 1.09-1.48). Discussion: Pharmacies may be an optimal setting to expand PrEP access to reach racial minorities who have the highest need but are not being reached. Pharmacy-based PrEP discussions and screening could improve awareness of HIV status and increase PrEP knowledge and uptake. Future studies should determine optimal pharmacy conditions under which PrEP screening and uptake are acceptable for BMSM.
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: Place of residence has been associated with HIV transmission risks. Social capital, defined as features of social organization that improve efficiency of society by facilitating coordinated actions, often varies by neighborhood, and hypothesized to have protective effects on HIV care continuum outcomes. We examined whether the association between social capital and 2 HIV care continuum outcomes clustered geographically and whether sociocontextual mechanisms predict differences across clusters. Methods: Bivariate Local Moran's I evaluated geographical clustering in the association between social capital (participation in civic and social organizations, 2006, 2008, 2010) and [5-year (2007-2011) prevalence of late HIV diagnosis and linkage to HIV care] across Philadelphia, PA, census tracts (N = 378). Maps documented the clusters and multinomial regression assessed which sociocontextual mechanisms (eg, racial composition) predict differences across clusters. Results: We identified 4 significant clusters (high social capital-high HIV/AIDS, low social capital-low HIV/AIDS, low social capital-high HIV/AIDS, and high social capital-low HIV/AIDS). Moran's I between social capital and late HIV diagnosis was (I = 0.19, z = 9.54, P < 0.001) and linkage to HIV care (I = 0.06, z = 3.274, P = 0.002). In multivariable analysis, median household income predicted differences across clusters, particularly where social capital was lowest and HIV burden the highest, compared with clusters with high social capital and lowest HIV burden. Discussion: The association between social participation and HIV care continuum outcomes cluster geographically in Philadelphia, PA. HIV prevention interventions should account for this phenomenon. Reducing geographic disparities will require interventions tailored to each continuum step and that address socioeconomic factors such as neighborhood median income.
The authors of "Characterizing the Rural Opioid Use Environment in Kentucky Using Google Earth: Virtual Audit"(J Med Internet Res 2019;21(10):e14923), the authors noticed four errors in the contributing authors' names and degrees. Firstly, the name of the second author was misspelled and has been revised from Regine Haardoërfer to Regine Haardörfer. Next, the degree listed for Hannah Cooper has been revised from: Hannah Cooper, PHD to Hannah Cooper, SCD Then, the degree listed for April Ballard has been revised from: April Ballard, BA to April Ballard, MPH Lastly, the academic degrees listed for Carla Jones-Harrell were incorrect. Her degree listing has been revised from: Carla Jones-Harrell, MPhil to Carla Jones-Harrell, MUEP, MPH. These corrections will appear in the online version of the paper on the JMIR website together with the publication of this correction notice. Because this change was made after submission to PubMed, PubMed Central, and other full-text repositories, the corrected article has also been resubmitted to those repositories.
Purpose: Social capital is a well-established predictor of several behavioral health outcomes. However, we know less about the relationship with prevention, transmission, and treatment of HIV/AIDS outcomes in the United States (US). Methods: In 2017, we conducted a scoping review of empirical studies investigating the relationships between social capital and HIV/AIDS in the US by searching PubMed, Embase, PsycINFO, Web of Science, and Sociological Abstracts with no restriction on publication date, for articles in English language. Sample search terms included: HIV infections OR HIV OR AIDS OR acquired immunodeficiency syndrome OR human immunodeficiency virus AND social capital OR social control, informal OR social participation OR social cohesion OR generalized trust OR social trust OR collective efficacy OR community mob* OR civic participation. Results: We identified 1581 unique manuscripts and reviewed 13 based on eligibility criteria. The earliest eligible study was published in 2003. More than half (n=7/13) focused on HIV or AIDS diagnosis, then prescribing ART and/or adherence (n=5/13), then linkage and or engagement in HIV care (n=4/13). Fifty eight percent (58%) documented a protective association between at least one social capital measure and an HIV/AIDS outcome. Seven studies used validated social capital scales, however there was substantial variation in conceptual/operational definitions and measures used. Most studies were based on samples from the Northeast. Three studies directly focused on or stratified analyses among subgroups or key populations. Studies were cross-sectional, so causal inference is unknown. Conclusion: Our review suggests that social capital may be an important determinant of HIV/AIDS prevention, transmission, and treatment outcomes. We recommend future research assess these associations using qualitative and mixed-methods approaches, longitudinally, examine differences across subgroups and geographic region, include a wider range of social capital constructs, and examine indicators beyond HIV diagnosis, as well as how mechanisms like stigma link social capital to HIV/AIDS.
Background: The opioid epidemic has ravaged rural communities in the United States. Despite extensive literature relating the physical environment to substance use in urban areas, little is known about the role of physical environment on the opioid epidemic in rural areas. Objective: This study aimed to examine the reliability of Google Earth to collect data on the physical environment related to substance use in rural areas. Methods: Systematic virtual audits were performed in 5 rural Kentucky counties using Google Earth between 2017 and 2018 to capture land use, health care facilities, entertainment venues, and businesses. In-person audits were performed for a subset of the census blocks. Results: We captured 533 features, most of which were images taken before 2015 (71.8%, 383/533). Reliability between the virtual audits and the gold standard was high for health care facilities (>83%), entertainment venues (>95%), and businesses (>61%) but was poor for land use features (>18%). Reliability between the virtual audit and in-person audit was high for health care facilities (83%) and entertainment venues (62%) but was poor for land use (0%) and businesses (12.5%). Conclusions: Poor reliability for land use features may reflect difficulty characterizing features that require judgment or natural changes in the environment that are not reflective of the Google Earth imagery because it was captured several years before the audit was performed. Virtual Google Earth audits were an efficient way to collect rich neighborhood data that are generally not available from other sources. However, these audits should use caution when the images in the observation area are dated.
Experiences of discrimination, or social marginalization and ostracism, may lead to the formation of social networks characterized by inequality. For example, those who experience discrimination may be more likely to develop drug use and sexual partnerships with others who are at increased risk for HIV compared to those without experiences of discrimination. This is critical as engaging in risk behaviors with others who are more likely to be HIV positive can increase one’s risk of HIV. We used log-binomial regression models to examine the relationship between drug use, racial and incarceration discrimination with changes in the composition of one’s risk network among 502 persons who use drugs. We examined both absolute and proportional changes with respect to sex partners, drug use partners, and injecting partners, after accounting for individual risk behaviors. At baseline, participants were predominately male (70%), black or Latino (91%), un-married (85%), and used crack (64%). Among those followed-up (67%), having experienced discrimination due to drug use was significantly related to increases in the absolute number of sex networks and drug networks over time. No types of discrimination were related to changes in the proportion of high-risk network members. Discrimination may increase one’s risk of HIV acquisition by leading them to preferentially form risk relationships with higher-risk individuals, thereby perpetuating racial and ethnic inequities in HIV. Future social network studies and behavioral interventions should consider whether social discrimination plays a role in HIV transmission.
Importance: Daily preexposure prophylaxis (PrEP) use can prevent up to 99% of HIV infections; however, PrEP uptake is low due to poor access to PrEP-prescribing locations for populations at increased risk for HIV, especially in the southeastern US. Pharmacies are a feasible option to increase PrEP access, but little is known about how they could complement current PrEP-prescribing locations. Objective: To examine geographic distributions of current PrEP-prescribing locations compared with pharmacies and the facility to need ratios (PFNRs) according to HIV risk in the Southeast and describe the potential reach of pharmacies to expand PrEP access. Design, Setting, and Participants: Data for this cross-sectional study of PrEP-prescribing locations and pharmacies were compiled from January 1 to December 31, 2021. States or specific counties in the Southeast included in this study were jurisdictions identified as high-priority areas for the Ending the HIV Epidemic in the US (EHE) initiative. Exposure: Expansion of HIV prevention services to pharmacies. Main Outcomes and Measures: Choropleth maps of 5-year HIV risk per 100000 persons were developed for EHE jurisdictions in the southeastern US. PrEP-prescribing locations (obtained from a national database of PrEP prescribers) and pharmacies (obtained from state pharmacy boards) were overlayed on HIV risk maps. The PFNRs by state were calculated as number of facilities (PrEP-prescribing locations or pharmacies) divided by 5-year HIV risk per 100000 persons. Lower PFNRs indicated lower geographic availability of locations to meet the needs of the population at risk for HIV. The PFNRs for current PrEP-prescribing locations vs pharmacies were compared. Results: Among the 2 southeastern states and 13 counties in 4 southeastern states included, PrEP-prescribing locations were unequally distributed across EHE areas, with substantially fewer in areas at high risk for HIV. Pharmacies were evenly dispersed across areas regardless of HIV risk. The mean PFNR across all states for current PrEP-prescribing locations was 0.008 (median, 0.000 [IQR, 0.000-0.003]); for pharmacies, it was 0.7 (median, 0.3 [IQR, 0.01-0.1]). The PFNRs were at least 20.3 times higher for pharmacies compared with PrEP-prescribing locations. States with the greatest potential increase in PFNRs with expansion to pharmacies included Kentucky, South Carolina, and Tennessee. Conclusions and Relevance: The findings of this cross-sectional study suggest that expanding HIV prevention services to pharmacies in EHE areas in the Southeast could significantly increase capacity to reach individuals at increased risk of HIV transmission. Legislation aimed at allowing pharmacists to prescribe PrEP and provide HIV prevention services may be an important next step in ending the HIV epidemic..
Before the COVID-19 pandemic, geographic mobility, previously viewed as an indicator of economic stability, was declining among young adults. Yet, these trends shifted during the COVID-19 pandemic; young adults were more likely to move during COVID-19 for reasons related to reducing disease transmission and fewer educational and job opportunities. Few studies have documented the individual and neighborhood characteristics of young adults who moved before and during the pandemic. We used data from a cohort of young adults aged 18–34 in six metropolitan areas to examine individual- and neighborhood-level predictors of mobility before and during the COVID-19 pandemic. The sample was majority female, white, and educated with a bachelor’s degree or more. Residents in neighborhoods they lived in were mostly White, US-born, employed, and lived above the poverty level. Before the pandemic, identifying as a sexual minority was significantly related to mobility. During the pandemic, being younger, single, and non-Hispanic were significantly related to mobility. Higher neighborhood poverty was significantly related to mobility before and during the COVID-19 pandemic. Future studies that examine young adult populations who moved during the pandemic are needed to determine whether COVID-19 related moves increase economic instability and subsequent health-related outcomes.
Background: Characteristics of an individual's social network have been important factors in understanding infectious disease transmission patterns. Social network data collection is generally time and resource intensive, yet it is crucial to our understanding of the complex epidemiologic landscape of human behaviors among stigmatized social groups. Objective: We sought to evaluate the feasibility and acceptability of a self-administered social network data collection tool, Network Canvas, among Black men who have sex with men (BMSM) and transgender persons using the think-aloud method, which is a robust and flexible research technique used to perform usability testing. Methods: We piloted a self-administered network interview within the Network Canvas Software Suite. Participants aged 18 years and older were recruited through a community-based organization in Atlanta, GA, and were included based upon their willingness to share information on sexual behaviors and drug use for themselves and their social networks. A semistructured interview guide was used to document cognitive decision-making processes while using the tool. Recorded interviews were transcribed verbatim, and thematic analyses were performed. Results: Among 7 BMSM and transgender participants, three main themes were identified from cognitive processes: (1) the utility, (2) navigation, and (3) intuitive design of Network Canvas. Overall, Network Canvas was described as "easy to use," with suggestions mainly directed toward improving navigation tools and implementing an initial tutorial on the program prior to use. Participants were willing to use Network Canvas to document their social networks and characteristics. In general, observed verbal responses from participants matched their behavior, although there were some discrepancies between verbal affirmations of use and understanding versus external observation. Conclusions: We found Network Canvas to be a useful new tool to capture social network data. Self-administration allowed participants the opportunity to provide sensitive information about themselves and their social networks. Furthermore, automated name generation and visualization of an individuals' social network in the app has the potential to reduce cognitive burden during data collection. More efficient methods of social network data collection have the potential to provide epidemiologic information to guide prevention efforts for populations with stigmatized health conditions or behaviors.