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![]() 269296 Technology Acceptance Theory and E-Health: Profiling E-Health Users Via Intensity of UseMonday, October 29, 2012
: 12:30 PM - 12:50 PM
By applying the technology acceptance model (TAM), we examined predictors of patients' use of e-health systems. With the use of the independent variables, perceived ease of use, perceived usefulness, internet dependency, and self-assessed health status, we intended to profile users based on their intensity of use of the e-health systems. Through Pearson product-moment correlation analysis, key predictors from TAM were found to not correlate with the expected independent variable. Results of the current study suggest that TAM needs to be revised and/or extended to study technology acceptance when the e-health systems are to be used by highly technologically savvy individuals.
Learning Areas:
Administer health education strategies, interventions and programsCommunication and informatics Implementation of health education strategies, interventions and programs Learning Objectives: Keywords: Internet Tools, Workplace Stressors
Presenting author's disclosure statement:
Qualified on the content I am responsible for because: Lisa Sparks (Ph.D., University of Oklahoma, 1998) Foster and Mary McGaw Endowed Professor in Behavioral Sciences at Chapman University in Orange, California and serves as Head/Director of the Master of Science graduate program in Health and Strategic Communication in the Schmid College of Science and Technology. Dr. Sparks serves as a Full Member of the Chao Family/NCI Designated Comprehensive Cancer Center at the University of California, Irvine; Adjunct Professor in the Public Health Program. I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.
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