An extended health-related technology acceptance model for use intention and continuance of private-wearable devices

A multigroup structural equation model was used to investigate use intention and continued engagement with private wearable devices among current users and nonusers. It incorporates consumer decision-making variables and analyses survey data from 1,228 respondents to test hypotheses about eight antecedents and their effect sizes. The findings advance both theoretical and practical knowledge by clarifying how these variables affect device acceptance and sustained usage. Perceived usefulness and ease of use emerged as the most influential factors for both use intention and continuance for both groups. Sensitivity to data protection also significantly influences intention to use and ongoing engagement. Other factors, including knowledge, perceived trust in providers, personal innovativeness, and subjective norm, positively affect the outcome. Health consciousness exhibits the smallest, yet statistically significant, effect on perceived usefulness, with a stronger effect for users. These outcomes, along with observed significant differences between users and nonusers in the multigroup analysis, deepen theoretical insights into health-monitoring technologies and offer actionable guidance for service providers, retailers, and national healthcare system managers seeking to increase adoption of private wearable devices. Adopting these recommendations can improve public health outcomes and help reduce the financial burden of long-term management of chronic conditions such as obesity and diabetes.