Shima Kamyab, Zohreh Azimifar, Rasool Sabzi, Paul Fieguth
Deep learning methods for inverse problems
PeerJ. Computer science
maintaining user engagement mobile health mhealth apps challenge previously developed conceptual model optimize patient engagement mhealth apps incorporating multiple evidencebased methods including increasing health literacy enhancing technical competence improving feelings participation clinical trials viewpoint aims report series exploratory miniexperiments demonstrating feasibility testing previously published engagement conceptual model collected data 6 participants using app showed series educational videos obtained additional data via questionnaires illustrate pilot approach videos addressed 3 elements shown relate engagement health care app use increasing health literacy enhancing technical competence improving positive feelings participation clinical trials measured changes participants knowledge feelings collected feedback videos content made revisions based feedback conducted participant reassessments findings support feasibility iterative approach creating refining engagement enhancements mhealth apps systematically identifying key evidencebased elements intended included apps design systematically testing implantation element separately satisfactory level positive impact achieved feasible incorporated standard app design mhealth apps shown promise participants likely drop retained viewpoint highlights potential mhealth researchers test refine mhealth apps using approaches better engage users