Location

Hilton Waikoloa Village, Hawaii

Event Website

https://hicss.hawaii.edu/

Start Date

7-1-2025 12:00 AM

End Date

10-1-2025 12:00 AM

Description

Preventive health applications (PHA) are digital tools designed to facilitate preventive healthcare measures, such as regular check-ups and early disease detection. Despite potential benefits, PHA are not widely used, and existing implementations often lack quality. Furthermore, there is limited research on these apps. This study investigates the determinants influencing the willingness to use PHA by employing an extended Health Belief Model. Data were collected through an online survey from 248 participants and analyzed using Partial Least Squares Structural Equation Modeling. Results indicate that perceived technical barriers significantly deter the intention to use PHA, while perceived medical benefits and susceptibility positively influence usage intention. Additionally, health motivation impacts perceived benefits, and privacy concerns are linked to technical barriers. Our approach provides a novel perspective by incorporating health-related beliefs and motivations, bridging a significant gap in understanding health technology adoption. These insights offer implications for designing more effective PHA.

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Jan 7th, 12:00 AM Jan 10th, 12:00 AM

Enhancing Preventive Health through Apps: An Extended Health Belief Model Approach for Widespread Adoption

Hilton Waikoloa Village, Hawaii

Preventive health applications (PHA) are digital tools designed to facilitate preventive healthcare measures, such as regular check-ups and early disease detection. Despite potential benefits, PHA are not widely used, and existing implementations often lack quality. Furthermore, there is limited research on these apps. This study investigates the determinants influencing the willingness to use PHA by employing an extended Health Belief Model. Data were collected through an online survey from 248 participants and analyzed using Partial Least Squares Structural Equation Modeling. Results indicate that perceived technical barriers significantly deter the intention to use PHA, while perceived medical benefits and susceptibility positively influence usage intention. Additionally, health motivation impacts perceived benefits, and privacy concerns are linked to technical barriers. Our approach provides a novel perspective by incorporating health-related beliefs and motivations, bridging a significant gap in understanding health technology adoption. These insights offer implications for designing more effective PHA.

https://aisel.aisnet.org/hicss-58/hc/adoption/10