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To Know from Rains (2008). Self-Efficacy Obstacles to perceived Web efficacy Locus of control (internal vs. external) Involvement types ( info, behavioral) Web experience How ^^^ variables affect hlth -seeking info efficacy Implications for future hlthcr studies/usage.
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To Know from Rains (2008) • Self-Efficacy • Obstacles to perceived Web efficacy • Locus of control (internal vs. external) • Involvement types (info, behavioral) • Web experience • How ^^^ variables affect hlth-seeking info efficacy • Implications for future hlthcr studies/usage
Stats on Mediated healthcare • https://www.youtube.com/watch?v=qLeNGykRAvU • Know the UPDATED stats (that pop up)
“Entertainment Education”(Johnson, Harrison, & Quick, 2013) • Useful if: • Experiential involvement w/ text & characters • B/c then hlth info recall strong • Personal relevance of EE not important
Websites • Twitter for hlth literacy (Park, Rodgers & Stemmle, 2013) • use more • YouTube videos • Anti-smoking messgsless pos. viewed/commented if: (Paek et al., 2013) • Using • Created • Tailored Interventions: • To increase physactiv in Older Adults (Ammann et al., 2013) • less perceived web-competence, but • highest increase in physical activity • Versus non-tailored (Lustria et al., 2013)
Phones • “Reminders,” Results, & Treatment Info • - for Parents (Ahlers-Schmidt et al., 2012) • Messgbased on formative parental input • Texts preferred method? (Labacher & Mitchell, 2013) • Cessations/Interventions • Smoking • Formative data start on , not future quit day (Bock et al., 2013) • HIV Prevention • White, college hlth info via text (Khosropour et al., 2014)
Games & Apps • Among 127 Apple hlth apps: (Cowan et al., 2013) • Health Belief Model used most • Higher priced & broad activity range • E-training ok, better (Farra et al., 2013)
Technologies • mHealth technologies (Lupton, 2013)