Advances in health information technologies have enabled health care providers and health professionals to incorporate various technologies into their patient care and service delivery. These technologies have been implemented with varying levels of acceptance. This research aims to compare the factors of trust and self-efficacy that influence consumer attitudes toward the adoption of three health information technologies. The Technology Acceptance Model (TAM), wellestablished by researchers, was used, adding two constructs: trust and self-efficacy. The model was tested with three technologies: wearable devices (wearables), telehealth (telehealth) and health applications (mHealth). Data were collected from three respondent bases, using the same model, and analyzed through multigroup structural equation modeling. The results of the analyses provide strong evidence that trust and self-efficacy influence attitudes toward the intention to use each of these technologies, indicating that there is variation in the adoption of each of these technologies. The limitations of the research lie in the technologies applied to the healthcare sector and cannot be generalized to other market segments. The application of this research can help medical service providers, patients and marketers to address critical issues related to the use of these technologies.