Willingness of MSM Living with HIV to Take Part in Video-Groups: Application of the Technology Readiness and Acceptance Model
Group-based programs are important for the psychosocial care of people living with HIV; however, programs are often limited by geography and availability. Video-groups, conducted via group-based video-conferencing on video-phones or computer, offer the benefits of group-based programs while overcoming barriers to attendance. This study sought to explore if, and how, the Technology Readiness and Acceptance Model (TRAM) could be used to explain the willingness of men to take part in video-groups. The TRAM was used as the guiding framework for thematic qualitative analysis. Among 106 participants, there was a general willingness to participate in video-groups. TRAM constructs were present in the data—with perceived usefulness (extent that participating in a technology-based program would facilitate group intervention behaviors) and insecurity (distrust/skepticism of technology) emerging as the most salient themes. The TRAM alone did not account for concerns related to group settings or the level of privacy needed when talking about HIV.
KeywordsHIV eHealth Video-conferencing Technology
We would like to thank Don Kurytka for his help with this research study.
- 3.CDC. Estimated HIV incidence among adults and adolescents in the United States, 2007–2010. HIV AIDS Surveill Rep. 2012;17:4.Google Scholar
- 4.White House Office of National AIDS Policy. National HIV/AIDS strategy for the United States: updated to 2020. 2015. https://www.aids.gov/federal-resources/national-hiv-aids-strategy/nhas-update.pdf. Accessed 15 Aug 2015.
- 23.Schnall R, Higgins T, Brown W, Carballo-Dieguez A, Bakken S. Trust, perceived risk, perceived ease of use and perceived usefulness as factors related to mHealth technology use. Stud Health Technol Inform. 2015;216:467–71.Google Scholar
- 25.Goldenberg T, McDougal SJ, Sullivan PS, Stekler JD, Stephenson R. Building a mobile HIV prevention app for men who have sex with men: an iterative and community-driven process. JMIR Public Health Surveill. 2015;1(2):e18.Google Scholar
- 26.Marhefka SL, Turner D, Lockhart E. Understanding women’s willingness to use e-health for HIV-related services: a novel application of the Technology Readiness and Acceptance Model to a highly stigmatized medical condition. Telemed J E Health. 2018. https://doi.org/10.1089/tmj.2018.0066.Google Scholar
- 28.Davis FD. A technology acceptance model for empirically testing new end-user information systems: theory and results, Massachusetts Institute of Technology; 1985.Google Scholar
- 33.Guest G, MacQueen KM, Namey EE. Applied thematic analysis. Thousand Oaks: Sage; 2011.Google Scholar
- 36.Rogers EM. Diffusion of innovations. 6th ed. New York: Free Press; 2003.Google Scholar
- 44.Gurung S, Kim Y. Healthcare privacy: how secure are the VOIP/video-conferencing tools for PHI data? Paper presented at: 2015 12th international conference on information technology-new generations; 2015.Google Scholar