“…No conceptual or theoretical frameworks concerning the relationships between telemedicine barriers and adoption were found. Robust prior studies in telemedicine, e-Health, telehealth, and m-Health (Alaboudi et al, 2016;Bigna, Noubiap, Plottel, Kouanfack, & Koulla-Shiro, 2014;Boonstra & Broekhuis, 2010;Bullock et al, 2017;Cajita, Hodgson, Lam, Yoo, & Han, 2018;De Bustos, Moulin, & Audebert, 2009;Faber, van Geenhuizen, & de Reuver, 2017;Freed et al, 2018;Gravel, Légaré, & Graham, 2006;Jang-Jaccard et al, 2014;Johnson, 2001;Leaming, 2007;LeRouge & Garfield, 2013;Lin, Lin, & Roan, 2012;Lohmann, Muula, Houlfort, & De Allegri, 2018;Modi, Portney, Hollenbeck, & Ellimoottil, 2018;Moffatt & Eley, 2011;Ramtohul, 2015;Rogove, McArthur, Demaerschalk, & Vespa, 2012;Scott Kruse et al, 2018;Scott & Mars, 2013;Van Dyk, 2014;Whitten, Holtz, Meyer, & Nazione, 2009) were used to develop and test the hypotheses regarded as mutually exclusive and exhaustive when considered from a model parsimony perspective. These seven broad categories of barriers are encapsulated in the study's conceptual model (see Figure 1).…”