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Journal Article
Review
Acceptance of Health Information Technologies, Acceptance of Mobile Health: A Review Article.
Journal of Biomedical Physics & Engineering 2017 December
Background: Mobile health is one of the new technologies for the utilization of health information. For its successful implementation as well as any other system, we must primarily measure the adoption and use of its factors. The purpose of this study was to systematically investigate published articles about the factors affecting the adoption of mobile health and categorizing the factors affecting the adoption of this system.
Methods: This study is a comprehensive review done by searching major databases such as Google Scholar, Emerald, Science Direct, Iran Medex, SID, Magiran, Pub med, etc. In addition, we use Mobile, mobile Health + adoption, mobile Health + TAM, Health + TAM keywords in the range of 2004 to 2015.
Results: Among the studies that use information technology theories to survey the factors affecting the adoption of mobile health, TAM model was used more than other models. Factors such as perceived ease of use, perceived usefulness and facilitating condition form TUATU are the most effective in the adoption of mobile health.
Conclusion: Results showed that by considering factors such as perceived ease of use, perceived usefulness and facilitating condition can increase the adoption of mobile health system. Consequently, these factors are recommended to be considered in planning to run systems.
Methods: This study is a comprehensive review done by searching major databases such as Google Scholar, Emerald, Science Direct, Iran Medex, SID, Magiran, Pub med, etc. In addition, we use Mobile, mobile Health + adoption, mobile Health + TAM, Health + TAM keywords in the range of 2004 to 2015.
Results: Among the studies that use information technology theories to survey the factors affecting the adoption of mobile health, TAM model was used more than other models. Factors such as perceived ease of use, perceived usefulness and facilitating condition form TUATU are the most effective in the adoption of mobile health.
Conclusion: Results showed that by considering factors such as perceived ease of use, perceived usefulness and facilitating condition can increase the adoption of mobile health system. Consequently, these factors are recommended to be considered in planning to run systems.
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