Using online social media for recruitment of human immunodeficiency virus-positive participants: a cross-sectional survey.

BACKGROUND: There are many challenges in recruiting and engaging participants when conducting research, especially with HIV-positive individuals. Some of these challenges include geographical barriers, insufficient time and financial resources, and perceived HIV-related stigma. OBJECTIVE: This paper describes the methodology of a recruitment approach that capitalized on existing online social media venues and other Internet resources in an attempt to overcome some of these barriers to research recruitment and retention. METHODS: From May through August 2013, a campaign approach using a combination of online social media, non-financial incentives, and Web-based survey software was implemented to advertise, recruit, and retain participants, and collect data for a survey study with a limited budget. RESULTS: Approximately US $5,000 was spent with a research staff designated at 20% of full-time effort, yielding 2034 survey clicks, 1404 of which met the inclusion criteria and initiated the survey, for an average cost of US $3.56 per survey initiation. A total of 1221 individuals completed the survey, yielding 86.97% retention. CONCLUSIONS: These data indicate that online recruitment is a feasible and efficient tool that can be further enhanced by sophisticated online data collection software and the addition of non-financial incentives.

Sociodemographic Factors Contribute to Mental Health Disparities and Access to Services Among Young Men Who Have Sex with Men in New York City.

Young men who have sex with men (YMSM) may be at increased risk for mental health problems including depression, post-traumatic stress (PTSD), and suicidality. The overriding goal of the current investigation was to examine mental health and mental health services in a diverse sample of YMSM. We analyzed cross-sectional data from a cohort study of 598 YMSM, including sociodemographics, mental health, and mental health care. We then tested for bivariate associations, and used multivariable modeling to predict depression, PTSD, suicidality and mental health care utilization. Lower socioeconomic status, unstable housing, and school non-enrollment predicted depression and PTSD scores, while unstable housing and school non-enrollment predicted recent suicide attempt(s). These recent suicide attempt(s) also predicted current utilization of counseling or treatment, any history of psychiatric hospitalization, and any history of psychiatric diagnosis. Black and API men were less likely to have ever accessed mental health counseling or treatment. There were significant class-based differences with regard to mental health outcomes, but not mental health services. Further, recent crises (i.e., suicide attempt, hospitalization) were strong predictors of accessing mental health services. Improving the mental health of YMSM requires addressing the underlying structural factors that influence mental health outcomes and service access.