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The aim of this article is to investigate the factors that influence user acceptance of mHealth apps and identify the underlying structure that shapes users\u2019 behavioral intention. An online study that employed factorial survey design with vignettes was conducted, and a total of 1,669 participants from eight countries across four continents were included in the study. Structural equation modeling was employed to quantitatively assess how various factors collectively contribute to users\u2019 willingness to use mHealth apps. The results indicate that users\u2019 digital literacy has the strongest impact on their willingness to use them, followed by their online habit of sharing personal information. Users\u2019 concerns about personal privacy only had a weak impact. Furthermore, users\u2019 demographic background, such as their country of residence, age, ethnicity, and education, has a significant moderating effect. 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