Abstract
eHealth offers promising tools and services to manage and improve the quality of health as well as the potential to provide accessible health information all over the world. The relatively low adoption rates among eHealth users motivates us to develop an integrated model to explain the learning process and provide essential antecedents of eHealth behavioral intention. The integrated model is empirically tested by using different structural equation modeling (SEM) methods, including partial least squares SEM (PLS-SEM), PLSc, and covariance-based SEM (CB-SEM). The model successfully explains the learning process and provides essential antecedents of eHealth behavioral intention. The findings support the interplay of social, cognitive, and personal factors that impact 18-30-year-old users' learning process related to eHealth behavioral intention. The results empirically show that these three types of SEM techniques provide consistent results with respect to path coefficients and coefficients of determination. The findings indicate that CB-SEM and PLS-SEM provide adverse consequences of interaction-term path coefficients.
Highlights
The acquisition of real-time, on-demand health information from traditional health channels is costly and inconvenient for most health information and service seekers (Zhang et al, 2017)
To improve the delivery of important health information to this group of Internet and social media users, this study developed and tested an eHealth related model to investigate crucial factors associated with the development of eHealth Behavioral Intention among 18-30-year-olds
Cognitive and eHealth Literacy discussed above, this study examined the role of Online Health Behavior in the development of eHealth Behavioral Intention
Summary
The acquisition of real-time, on-demand health information from traditional health channels (e.g., hospitals, clinics, and primary care physicians) is costly and inconvenient for most health information and service seekers (Zhang et al, 2017). To fulfill health information needs in a timely and convenient manner, many users are seeking health information and services through other channels. Internet venues offer real-time accessibility for young users to immediately search for health information, exchange health information effectively, and can simultaneously fulfill the needs of a large number of users (Prybutok et al, 2014). EHealth involves the delivery of health-related information and services through the Internet and related technologies (Prybutok, 2014). Users can access the Internet to learn more about their health issues, obtain a basic knowledge of their diseases and treatments, and get relevant
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