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The model was tested using partial least squares structural equation modeling, with 119 observations that were obtained by pooling data across three time points over a 12-week period. The results indicate that all of the seven constructs examined had a significant total effect on behavioral intention and explained 74\u2009percent of the variance. Also, application-specific self-efficacy and behavioral intention had a significant total effect on actual usage and explained 17\u2009percent of the variance. This study demonstrates that technology acceptance is determined by patient characteristics, technology attributes, and social influences. 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