HIV Prevention and Sex Behaviors as Organizing Mechanisms in a Facebook Group Affiliation Network Among Young Black Men Who Have Sex with Men

Demographic and HIV Status Diversities as Mechanisms of Social Integration and Segregation Among Black Sexual and Gender Minorities Enrolled in a Community-Based Social Network Intervention

Drawing on a social integration and intersectionality framework, this study advances a dynamic network understanding of the mechanisms that enable differential patterns of within-group social integration and segregation among Black sexual and gender minorities (BSGM). Specifically, in a cohort of BSGM (18-35 years of age, n = 340) participating in a community-based network intervention for HIV prevention, we examine how sexual, gender, age, and HIV status diversities contribute to friendship formation and maintenance patterns over the 12-month study enrollment period. We found attenuated social integration (or social activity) among non-gay-identified and older BSGM and evidence of social segregation (or homophily) on the basis sexual identity and age similarities. Accounting for the moderating effects of the intervention revealed that the attenuated integration of non-gay-identified and older BSGM were stronger for participants who received the peer leadership training and integration challenges were also found for transgender BSGM who received the peer leadership training. Meanwhile, BSGM living with HIV who received the peer leadership training were significantly more integrated than their counterparts in the control arm. These findings help us understand the complicated social fabric among BSGM and the dynamics that interventions for this community may have to contend with or alter.

Associations between social network characteristics and sexual minority disclosure concern among Black men who have sex with men living with and without HIV

In addition to the pervasive anti-Black racism faced by Black people in the United States, Black men who have sex with men (BMSM) face sexual minority stigma and, among BMSM living with HIV, HIV-related stigma. These multilevel social forces shape social networks, which are important sources of resources, support, and behavior regulation. This study quantitatively examined the relationship between social network characteristics and sexual minority stigma (e.g., homophobia, biphobia), assessed by reported concerns around disclosing one's sexual minority status, among BMSM in Baltimore, Maryland in 2014 (N = 336). A majority of participants (63.7%) reported experiencing medium or high levels of sexual minority disclosure concern. In a multiple linear regression model, participants with higher sexual minority disclosure concern reported lower network density and having fewer good friends who are gay or bisexual men. Stratifying the same multiple linear regression model by HIV status supports the importance of an intersectional understanding of sexual minority and HIV-related stigma. These findings can help health-related programs address the complex relationships between sexual minority stigma, social networks, and HIV status within this multiply-marginalized and high-priority population.

Synthesizing Adaptive Digital Bioethics to Guide the Use of Interactive Communication Technologies in Adolescent Behavioral Medicine: A Systematic Configurative Review

Despite the continuing integration of digital outreach tools into adolescent preventive services, adaptive guidance for their ethical use remains limited. In this configurative review, we synthesize the ad hoc, applied digital bioethics developed in adolescent human immunodeficiency virus prevention science. By focusing on generalizable technological affordances, while balancing privacy and autonomy, we offer strategies for identifying potential technologically mediated harms that can transcend specific platforms, tools, or the knowledge levels of individual clinicians. Clinical vignettes illustrate the application of these strategies.

Analytic Advances in Social Networks and Health in the Twenty-First Century

The study of social networks is increasingly central to health research for medical sociologists and scholars in other fields. Here, we review the innovations in theory, substance, data collection, and methodology that have propelled the study of social networks and health from a niche subfield to the center of larger sociological and scientific debates. In particular, we contextualize the broader history of network analysis and its connections to health research, concentrating on work beginning in the late 1990s, much of it in this journal. Using bibliometric and network visualization approaches, we examine the subfield's evolution over this period in terms of topics, trends, key debates, and core insights. We conclude by reflecting on persistent challenges and areas of innovation shaping the study of social networks and health and its intersection with medical sociology in the coming years.

Awareness and Use of Post-exposure Prophylaxis for HIV Prevention Among Men Who Have Sex With Men: A Systematic Review and Meta-Analysis

Background: The use of post-exposure prophylaxis (PEP) is effective in reducing HIV risk, but it is underused by men who have sex with men (MSM) due to certain psychological and sociostructural factors. This article assessed the awareness and use of PEP among MSM in an effort to increase the visibility and uptake of PEP among at-risk populations.

Methods: We conducted a systematic literature search of the PubMed, Web of Science, PsycINFO, and Google Scholar electronic databases. Studies were screened for inclusion, and relevant data were abstracted, assessed for bias, and synthesized. Pooled effect estimates were calculated using random effects meta-analysis, meta-regression and subgroup analysis, and a qualitative review and risk of bias assessment were performed (PROSPERO, CRD42019123815).

Results: Twenty eligible studies involving 12,579 MSM were included in the meta-analysis. The pooled estimate of the proportions of MSM who were aware of PEP was modest at 59.9% (95% CI: 50.5~68.7) and that of MSM who previously used PEP was very low at 4.9% (95% CI: 2.4~9.8). PEP awareness showed no clear change over time, while PEP use significantly changed over time. Multiple factors affected awareness, including educational attainment, race/ethnicity, levels of HIV stigma, access to condoms, and so on. Many factors could potentially impede or facilitate the use of PEP, such as income, lack of PEP information, and partnership.

Conclusion: We observed that PEP is an underused HIV prevention strategy among MSM and that once MSM become aware of PEP, the majority are willing to use it if they are supported appropriately in terms of a range of individual, social, and structural barriers.

Systematic Review Registration: http://www.cdr.york.ac.uk/prospero, PROSPERO [CRD42019123815].

Use of social media data for disease based social network analysis and network modeling: A Systematic Review

Burden due to infectious and noncommunicable disease is increasing at an alarming rate. Social media usage is growing rapidly and has become the new norm of communication. It is imperative to examine what is being discussed in the social media about diseases or conditions and the characteristics of the network of people involved in discussion. The objective is to assess the tools and techniques used to study social media disease networks using network analysis and network modeling. PubMed and IEEEXplore were searched from 2009 to 2020 and included 30 studies after screening and analysis. Twitter, QuitNet, and disease-specific online forums were widely used to study communications on various health conditions. Most of the studies have performed content analysis and network analysis, whereas network modeling has been done in six studies. Posts on cancer, COVID-19, and smoking have been widely studied. Tools and techniques used for network analysis are listed. Health-related social media data can be leveraged for network analysis. Network modeling technique would help to identify the structural factors associated with the affiliation of the disease networks, which is scarcely utilized. This will help public health professionals to tailor targeted interventions.

Machine Learning and Clinical Informatics for Improving HIV Care Continuum Outcomes

PURPOSE OF REVIEW

This manuscript reviews the use of electronic medical record (EMR) data for HIV care and research along the HIV care continuum with a specific focus on machine learning methods and clinical informatics interventions.

RECENT FINDINGS

EMR-based clinical decision support tools and electronic alerts have been effectively utilized to improve HIV care continuum outcomes. Accurate EMR-based machine learning models have been developed to predict HIV diagnosis, retention in care, and viral suppression. Natural language processing (NLP) of clinical notes and data sharing between healthcare systems and public health agencies can enhance models for identifying people living with HIV who are undiagnosed or in need of relinkage to care. Challenges related to using these technologies include inconsistent EMR documentation, alert fatigue, and the potential for bias. Clinical informatics and machine learning models are promising tools for improving HIV care continuum outcomes. Future research should focus on methods for combining EMR data with additional data sources (e.g., social media, geospatial data) and studying how to effectively implement predictive models for HIV care into clinical practice.

Individual and Social Network Structure Characteristics Associated with Peer Change Agent Engagement and Impact in a PrEP Intervention

Interventions that utilize the influence of peer change agents (PCAs) have been shown to be effective strategies for engaging key populations in HIV prevention. To date, little is known about the characteristics of PCAs associated with their effectiveness. Drawing on data from a peer leader PrEP intervention for young Black men who have sex with men (YBMSM) (N = 423), we evaluated the effects of experiential (i.e., living with HIV, PrEP awareness, PrEP use), psychographic (i.e., self-perceived leadership, innovativeness), and network (i.e., degree centrality, eigenvector centrality, and brokerage) characteristics on three effectiveness outcomes: (1) recruiting peers into the study; (2) completing "booster" sessions; and (3) linking peers to PrEP care. For each outcome, multivariable regressions were performed. On average, PCAs recruited 0.89 peers, completed 1.99 boosters, and had 1.33 network peers linked to PrEP care. Experiential factors: Prior PrEP awareness was positively associated with booster completion. Network factors: Being a network broker (i.e., connecting otherwise disconnected communities) was positively associated with peer recruitment but negatively associated with linking peers to PrEP, and degree centrality (i.e., the number of network connections someone has) and eigenvector centrality (i.e., being connected to well-connected network associates) were positively associated with linking peers to PrEP. Psychographic characteristics were not associated with any outcome. These findings can be used to inform PCA selection and to identify subpopulations who require additional support to excel as PCAs.

Individual and Social Network Factors Associated with High Self-efficacy of Communicating about Men's Health Issues with Peers among Black MSM in an Urban Setting

Black men who have sex with men (BMSM) bear a disproportionate burden of HIV in the USA. BMSM face stigma, discrimination and barriers to health care access, and utilization. Peers (male or female) may assist BMSM in navigating their health issues by engaging in communication to support in their health care needs. Individuals with high self-efficacy of communicating about men's health issues with peers can be trained as community popular opinion leaders (CPOLs) to change peer behaviors by promoting risk reduction communication. We examined the characteristics associated with high self-efficacy of communicating with peers about men's health issues among 256 BMSM from a behavioral HIV intervention conducted in Baltimore, Maryland. In the multivariate logistic model, gay identity (AOR: 2.10, 95% CI: 1.15,3.83), involvement in the house and ballroom community (AOR: 2.50, 95% CI: 1.14,5.49), larger number of network members who are living with HIV (AOR: 6.34, 95% CI: 1.48,27.11), and larger number of network members who would loan them money (AOR: 1.46, 95% CI: 1.05,2.03) were statistically significantly associated with high self-efficacy of communicating with peers about men's health issues. We also found that having depressive symptoms (AOR: 0.43, 95% CI: 0.24, 0.77) was negatively associated with high self-efficacy of communicating with peers about men's health issues. Findings from the current study can inform future studies to identify better CPOLs who are able to communicate effectively with peers about men's health issues for BMSM.

Developing targeted HIV risk predictors for young black men who have sex with men: a two-city comparative study

HIV burden in the United States is geographically and demographically heterogeneous. While efforts over the last few decades have reduced HIV incidence, young black men who have sex with men (YBMSM) account for a significant portion of new HIV diagnoses compared to any other race and age group. The Centers for Disease Control and Prevention has allocated funding to help reduce HIV in the YBMSM community; however, their recommended screening/treatment criteria do not emphasize demographic specificity. To better guide more applicable screening guidelines specifically for YBMSM, we examine demographic, behavioral, sexual network, and biological predictors of HIV status among YBMSM in two demographically distinct cities with high HIV burden in the United States: Chicago, IL and Los Angeles, CA. We perform multivariable logistic regressions to identify predictors of HIV in these populations. We found that having a history of syphilis was the only statistically significant predictor across both cities despite inclusion of other characteristics previously shown to be associated with HIV among YBMSM. Syphilis history could be a powerful HIV risk indicator for YBMSM and, therefore, should be integrated into clinical screening practices for critical biomedical prevention options like HIV pre-exposure prophylaxis.

Using Social Networks to Understand and Overcome Implementation Barriers in the Global HIV Response

BACKGROUND

Despite the development of several efficacious HIV prevention and treatment methods in the past 2 decades, HIV continues to spread globally. Uptake of interventions is nonrandomly distributed across populations. Such inequality is socially patterned and reinforced by homophily arising from both social selection (becoming friends with similar people) and influence (becoming similar to friends).

METHODS

We conducted a narrative review to describe how social network analysis methods-including egocentric, sociocentric, and respondent-driven sampling designs-provide tools to measure key populations, to understand how epidemics spread, and to evaluate intervention take-up.

RESULTS

Social network analysis-informed designs can improve intervention effectiveness by reaching otherwise inaccessible populations. They can also improve intervention efficiency by maximizing spillovers, through social ties, to at-risk but susceptible individuals. Social network analysis-informed designs thus have the potential to be both more effective and less unequal in their effects, compared with social network analysis-naïve approaches. Although social network analysis-informed designs are often resource-intensive, we believe they provide unique insights that can help reach those most in need of HIV prevention and treatment interventions.

CONCLUSION

Increased collection of social network data during both research and implementation work would provide important information to improve the roll-out of existing studies in the present and to inform the design of more data-efficient, social network analysis-informed interventions in the future. Doing so will improve the reach of interventions, especially to key populations, and to maximize intervention impact once delivered.

Facebook group affiliation ties, group topics, and HIV behavioral characteristics among young Black men who have sex with men: Potential for public health intervention

•YBMSM were more likely to belong to personal/professional development groups.•YBMSM clustered around pairs of LGBTQ identity, sex, and nightlife groups.•Regular testers tended to belong to LGBTQ identity and nightlife groups.•Those who engaged in condomless sex tended to affiliate with LGBTQ identity groups.•Those who were aware of PrEP aware tended to affiliate with chat groups.

PrEP indicators, social capital and social group memberships among gay, bisexual and other men who have sex with men

Efforts to reduce HIV among gay, bisexual and other men who have sex with men include increasing awareness and uptake of pre-exposure prophylaxis (PrEP). Social capital may facilitate engagement in HIV prevention. Membership of social groups including chosen families (i.e. friends as family relationships) - one potential indicator of social capital - may be protective against HIV risk and infection. In this cross-sectional quantitative study, we examined social capital items and social group membership in association with PrEP outcomes. In 2014, the New Orleans arm of the National HIV Behavioral Surveillance recruited 353 HIV-negative men, of whom 46% identified as Black, Latino or Other Race and 54% as Non-Hispanic White, using venue-based sampling to complete a structured survey. Multivariable logistic regression models tested the relations between social group membership and social capital with PrEP indicators. Men who reported community group participation were more likely to be aware of PrEP compared to those who did not. Men in chosen families associated with a family name were least likely to be aware of and willing to take PrEP compared to those not in any other social groups. Social group membership is a potential social capital indicator for assessing HIV prevention among men.

Exploring the Social Structure of a Health-Related Online Community for Tobacco Cessation: A Two-Mode Network Approach

Unhealthy behaviors, such as tobacco use, increase individual health risk while also creating a global economic burden on the healthcare system. Social ties have been seen as an important, yet complex factor, to sustain abstinence from these modifiable risk behaviors. However, the underlying social mechanisms are still opaque and poorly understood. Digital health communities provide opportunities to understand social dependencies of behavior change because peer interactions in these platforms are digitized. In this paper, we present a novel approach that integrates theories of behavior change and Exponential Random Graph Models (ERGMs) to understand structural dependencies between users of an online community and the behavior change techniques that are manifested in their communication using an affiliation network. Results indicate population specific traits in terms of individuals' engagement in peer communication embed behavior change techniques in online social settings. Implications for personalized health promotion technologies are discussed.

The multiplex social environments of young Black men who have sex with men: How online and offline social structures impact HIV prevention and sex behavior engagement

In the United States, young Black men who have sex with men (YBMSM) remain disproportionately affected by HIV. The social networks in which YBMSM are embedded are generally understood to be critical factors in understanding their vulnerability. In this study, we acknowledge the relational richness of YBMSMs' social environments (what we define as multiplexity) and their increasing prioritization of online social networking sites (SNS). Specifically, we investigate whether protective and/or risky features of YBMSMs' Facebook friendships and group affiliations are related to their HIV prevention and sex behavior engagement, while also accounting for features of their offline confidant (or support) and sex networks. Using data from a population-based cohort study of YBMSM living in Chicago (N=268), we perform a series of multiple logistic regression analyses to examine associations between features of YBMSMs' Facebook, confidant, and sexual networks with three prevention outcomes and three sex behavior outcomes, while also controlling for factors at the individual and structural levels. Results show that network features play a more significant role in predicting engagement in sex behaviors than prevention behaviors. Specifically, having more confidants, having confidants who are family members, meeting sex partners online, having more YBMSM Facebook friends, belonging to Facebook groups with an LGBTQ focus, and having greater subject diversity in one's Facebook group affiliations were significantly associated with one or more sex behavior outcomes. We conclude with a discussion of the implications of our findings for HIV prevention intervention efforts.

mHealth in the prevention of sexually transmitted infections STIs

The objective of this study was to analyze in the literature how the applications were developed and how they influence the prevention of Sexually Transmitted Infections (STIs). PubMed, CAPES Periodicals and Bireme databases were searched using the descriptors sexually transmitted diseases and mHealth combined by the Boolean connector AND. The search considered studies published between 2013 to 2017 available online in Portuguese and English. The results of the studies showed formative research was the most used method and focus group was the most used technique for data collection in the development of an application. This technique aims at the exchange of experience and allows discussion about issues inherent to infections. The applications were built with methodological rigor with the participation of users and with instructional resources that influence the management of the prevention and control of infections.

The Effect of Using Geosocial Networking Apps on the HIV Incidence Rate Among Men Who Have Sex With Men: Eighteen-Month Prospective Cohort Study in Shenyang, China

Background

Men who have sex with men (MSM) frequently seek partners through mobile apps (geosocial networking [GSN] apps). However, it is unclear whether GSN apps’ use is associated with the increase in HIV incidence among MSM.

Objective

The aim of this study was to clarify the characteristics of GSN apps’ users and to determine the association and putative mechanisms between GSN apps’ use behavior and HIV incidence.

Methods

We conducted an 18-month prospective cohort study of MSM in Shenyang, China, and the participants were surveyed every 3 months from March 2015 to December 2016. An in-person interview collected information on sociodemographics, GSN apps’ use, recreational drug use, and sexual behaviors. In addition, blood was drawn to test for HIV and syphilis. We used a multivariable Cox regression model to determine possible predictors for increased HIV incidence.

Results

Of the enrolled 686 HIV-negative MSM, 431 (431/686, 62.8%) were GSN apps’ users. Compared with GSN apps’ nonusers, GSN apps’ users were younger; had an earlier age of sexual debut; and in the past 3 months, were more likely to have used recreational drugs, more likely to have had 5 or more casual partners (CPs), more likely to have had group sex with males, and more likely to have had condomless anal intercourse (CAI) with male steady partners (SPs). In addition, 59.4% (256/431) of the GSN apps’ users were willing to accept HIV and AIDS prevention information push services through GSN apps. In total, 19 MSM seroconverted to HIV during the follow-up period; the HIV incidence density rate was 8.5 (95% CI 5.0-13.5) per 100 person-years (PY) among GSN apps’ users and 2.0 (95% CI 0.4-5.8) per 100 PY among nonusers. New HIV infections were independently associated with ever using GSN apps to seek male sexual partners (P=.04) and in the past 3 months, using recreational drugs (P=.048), having group sex with males (P=.01), and having CAI with male CPs (P=.02).

Conclusions

GSN apps’ use is associated with higher HIV incidence and may be mediated through recreational drug use and having multiple CPs. Researchers must develop an intervention propagated through GSN apps to reach this high-risk population to mitigate the HIV epidemic in the MSM community.