Jeongeun Kim*, Seoul National University, Seoul, Korea, Republic Of Hyeounae Park, Seoul National University, Seoul, Korea, Republic Of James G. Boram Kim*, Biomedical Knowledge Engineering Laboratory, Seoul National University, Seoul, Korea, Republic Of Track: Research Presentation Topic: Web 2.0 approaches for behaviour change, public health and biosurveillance Presentation Type: Poster presentation Submission Type: Single Presentation Last modified: 2012-09-12

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Background: It is mandatory to have the behavioral intention if health consumers wish to measure, store and manage the health data of their own for the effective health promotion using Health Information Technology. Effective and efficient strategies could be developed and implemented if we could understand the health consumer’s intention & behavior.
Objective: It is the aim of this study to develop and verify the extended Technology Acceptance Model in healthcare arena to explain the health consumer’s behavioral intention of utilizing health information technology including variable antecedents and mediating factors.
Methods: This study employed a descriptive and correlational cross-sectional survey. To enhance the explanatory power and make it more applicable to health consumer’s behavioral intention, TAM was extended by adding antecedents and mediating variables from health concepts. Variables were selected for inclusion in the hypothetical model based on their theoretical relevance from Health Belief Model and Theory of Planned Behavior along with the TAM 3. Structural equation analysis was used to identify the relationship between the interdependent multiple variables affecting the use of HIT. Data were collected by a web-based survey using a structured self-administered questionnaire, and 728 members of the internet health portal replied.
Results: The overall fitness indices for the hypothetical model in this study indicated the acceptable fit of model. All path coefficients were statistically significant. This study provided evidence that perceived threat, perceived usefulness and perceived ease of use significantly affected the health consumer’s attitude and behavioral intention. Health consumer’s health status, health belief and concerns, subjective norm, HIT characteristics and HIT self-efficacy had strong indirect impact on attitude and behavioral intention through the mediators of perceived threat, perceived usefulness and perceived ease of use. The included concepts could be categorized in 3 domains such as Health Zone, Information Zone and Technology Zone.
Conclusion: This study extended the TAM in HIT arena to explain the health consumer’s behavioral intention.