Offering scalable solutions to solve inequities in access, quality, and efficiency, the fast development of mobile health (mHealth) systems has transformed healthcare delivery all around. By combining the technology acceptance model (TAM), the theory of planned behavior (TPB), and the information system success model (ISSM), this study examines the elements propelling the adoption of mHealth services in Iran. A thorough model for this study based on literary review is created using influential elements. Testing the model and assumptions is a sample of 400 possible mHealth service users; the data is examined using structural equation modeling techniques. Examination of hypothesis tests showed that perceived usefulness had a very strong positive effect on adoption intention ( β = 0.65, t = 13.07), while perceived ease of use had a moderate but significant negative direct impact ( β = −0.42, t = 4.60). On the other hand, attitude did not have any predictive power for intention or mediating effects from ease of use or usefulness ( t < 1.10). While also contributing favorably—though to a lesser extent—to perceived usefulness ( β = 0.31, t = 3.92) and directly to adoption intention ( β = 0.17, t = 3.74), subjective norms emerged as a ubiquitous influence, most significantly on attitude ( β = 0.37, t = 6.37) and ease of use ( β = 0.62, t = 13.49). Among the quality dimensions, information quality ( β = 0.26, t = 2.86) and service quality ( β = 0.45, t = 5.80) greatly enhanced perceived usefulness; system quality remained nonsignificant ( t = 1.85). Finally, efficacy beliefs displayed conflicting results: Self‐efficacy had modest yet significant positive impacts on intention ( β = 0.05, t = 2.04) and attitude ( β = 0.12, t = 2.27), without influencing ease of use; response efficacy gave moderate positive effects on ease of use ( β = 0.36, t = 3.76). These results refute fundamental TAM hypotheses—especially the unfavorable role of ease of use and the nonsignificance of attitude—and highlight the overriding importance of social influence and content quality in resource‐restricted mHealth environments. The results offer practical guidance for legislators and developers striving to create resilient, user‐centered mHealth solutions that carefully balance simplicity, usability, and infrastructural realities.
Mahdi Ashkani (Thu,) studied this question.