eHealthSmart®: Designing personalized e‐technology to reduce health disparities on urban adult populations
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AbstractThis interdisciplinary study (information science, nursing, business, engineering, and gerontology) focuses on the design and development of personalized eHealthSmart®, an information system specific to smoking cessation, health diet, and exercise. In designing and developing eHealthSmart® we adopted theoretical frameworks of Kolb Learning‐Style Inventory and Davis Technology Acceptance Model. The system was built using ColdFusion scripting language, MySQL database, running at the Linux platform. It is clear from our pilot test that urban older adults have access, are comfortable, and willing to participate in educational programs that use personalized eHealth programs.
