Antiretroviral therapy (ART) for HIV is increasingly being introduced and utilized in diverse areas of the world. However, little research exists on adherence to ART in different cultural settings, particularly in developing countries such as India. This formative qualitative study examined barriers and facilitators of ART adherence among 60 (49 men, 11 women; 33 taking ART, 27 not currently taking ART) patients receiving HIV primary care at YRG CARE, a nongovernmental organization, in Chennai, India. The average participant reported becoming HIV infected through heterosexual transmission, was between 31 and 40 years old, had over ninth class standard education, was married, and generally had access to medical care; however, we obtained some qualitative data from various other risk categories. Trained ethnographers at the study site conducted in-depth interviews in the local language. These interviews were analyzed for content and ethnographic data. Almost all of the participants discussed the cost of ART as a barrier, with many reporting extended drug holidays, turning to family and/or friends, or taking drastic measures (i.e., selling family jewels, property) for financial assistance. Other barriers centered on privacy and stigma issues, such as disclosure of HIV inhibiting pill-taking and social support. Frequently discussed facilitators of adherence included perceived benefits of ART and proper adherence, perceptions about the consequences of nonadherence, and social support, if available. These data highlight the importance of reducing the cost of antiretroviral medications, involving family members in HIV care, and addressing privacy issues and stigma in counseling interventions in this setting.

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Social network analysis (SNA) and social network-based interventions (SNI) are important analytical tools harnessing peer and family influences critical for HIV prevention and treatment among substance users. While SNA is an effective way to measure social network influences, SNI directly or indirectly involves network members in interventions. Even though these methods have been applied in heterogeneous ways, leading to extensive evidence-based practices, systematic reviews are however, lacking. We searched five bibliographic databases and identified 58 studies involving HIV in substance users that had utilized SNA or SNI as part of their methodology. SNA was used to measure network variables as inputs in statistical/mathematical models in 64% of studies and only 22% of studies used SNI. Most studies focused on HIV prevention and few addressed diagnosis (k=4), care linkage and retention (k=5), ART adherence (k=2), and viral suppression (k=1). This systematic review highlights both the advantages and disadvantages of social network approaches for HIV prevention and treatment and gaps in its use for HIV care continuum.

The HIV epidemic in Peru is concentrated among men who have sex with men (MSM). Given that MSM have been documented as early adopters of emerging technology, we examined communication technology access and utilization, and mobile health (mHealth) acceptance among Peruvian MSM and transgender women (TGW) in order to gauge opportunities for mHealth-enabled HIV interventions. A convenience sample of 359 HIV-infected MSM and TGW recruited from three sites in Lima, Peru completed standardized assessments of alcohol use disorders (AUDs), risky sexual behavior, and antiretroviral therapy (ART) adherence along with self-constructed measures of communication technology access and utilization, and mHealth acceptance. Most (86%) participants had daily access to any cell phone, including smartphones (30%). The most frequent communication activities were receiving and making calls, and receiving and sending text messages using cell phones. On a 5-point Likert scale, participants expressed interest in using mHealth for medication reminders (M=3.21, SD=1.32) and engaging in anonymous online interactions with health professionals to discuss HIV-related issues (M=3.56, SD=1.33). Importantly, no significant differences were found in communication technology use and mHealth acceptance among participants with AUDs, depression and suboptimal ART adherence, all of which are associated with poor HIV treatment outcomes. Findings show support for implementing mHealth-based intervention strategies using cell phones to assess and reduce HIV-risk behaviors among HIV-infected MSM and TGW.

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