This study, with a focus on Malaysia, aims to uncover the determinants of mobile health apps adoption. The researcher considered four crucial determinants when conducting this study: perceived ease of use, performance expectancy, perceived risk, and social influence. The association and the adoption of mobile health apps are linked by these independent variables. The methodology used is quantitative empirical research utilizing an integrated framework from TAM and UTAUT. There were only 150 usable responses collected and analyzed. The Partial Least Squares version 4.0 was employed to analyze the valid data collected that can help to provide insight into the outcome. The findings revealed that perceived ease of use and performance expectancy are important factors in determining who uses this application. Moreover, perceived ease of use indirectly influences performance expectancy, which further underscores the importance of user-friendly design and functional benefits in driving adoption. However, perceived risk and social influence were found to be non-significant predictors of users’ adoption of mobile health apps. The findings of this study would assist the policy makers, service providers and apps developers in formulating strategies to enhance mobile health apps adoption in Malaysia.