Examining the Role of Social Networks on Venue-Based HIV Testing Access and Decision Making in an Urban, Transgendered Population

BACKGROUND: The transgender male to female (MTF) population group has some of the highest HIV testing rates yet continues to experience disproportionate HIV infection rates. There is little understanding regarding the HIV risk behavioral choices or social networks of the transgender-MTF. Additionally, no large national databases exist regarding the HIV burden experienced by the transgender-MTF population group. METHODS: This secondary data analysis used intake data collected by an HIV advocacy organization located in urban New York State for reporting to the New York State AIDS Reporting System (AIRS). Social network analysis was evaluated by inserting demographic data and HIV testing context variables into statistical modeling. RESULTS: Delineation of social networks of an urban, transgender-MTF population group in New York State was achieved by using age, race/ethnicity, history of substance use, health concern descriptives, reported risk behaviors and housing status. The most reported knowledge source of HIV testing opportunity was texting via mobile phone. Transgender-MTFs had higher HIV testing rates according to distance from HIV testing venue, month of testing and test type. CONCLUSIONS: Using demographic data and OTHER HIV testing intake data can assist in delineating several aspects of social networks. Public health nurses and other HIV health care workers can use basic social network analysis findings to target and successfully reach urban and historically marginalized population groups. Nursing and public health researchers can use findings to construct more complex social network delineation.