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BackgroundThe solution to the growing problem of rural residents lacking health care access may be found in the use of telemedicine and mobile health (mHealth). Using mHealth or telemedicine allows patients from rural or remote areas to have better access to health care. ObjectiveThe objective of this study was to understand factors influencing the choice of communication medium for receiving care, through the analysis of mHealth versus telemedicine encounters with a virtual urgent clinic. MethodsWe conducted a postdeployment evaluation of a new virtual health care service, Virtual Urgent Clinic, which uses mHealth and telemedicine modalities to provide patient care. We used a multinomial logistic model to test the significance and predictive power of a set of features in determining patients’ preferred method of telecare encounters—a nominal outcome variable of two levels (mHealth and telemedicine). ResultsPostdeployment, 1403 encounters were recorded, of which 1228 (87.53%) were completed with mHealth and 175 (12.47%) were telemedicine encounters. Patients’ sex (P=.004) and setting (P

The advancement of telemedicine has allowed to reach users of various demographics. In this paper we compare two cohorts, adolescents and geriatrics at a virtual care clinic. We calculated frequent chief complaints, modality of communication, and the distribution of gender. Our findings show that elderly female population prefers telemedicine more than men, and adolescents are more likely to use video calls than the geriatric population. [ABSTRACT FROM AUTHOR]

Using telemedicine to provide care is an attractive alternative for patients. However, few studies have examined the demographics of the patients using virtual care. In this paper, we investigate the demographic features of the Virtual Care (VC) users; Age, gender, roles, and preferred methods of communication are studied. [ABSTRACT FROM AUTHOR]

Using telemedicine to provide care is an attractive alternative for patients. However, few studies have examined the demographics of the patients using virtual care. In this paper, we investigate the demographic features of the Virtual Care (VC) users; Age, gender, roles, and preferred methods of communication are studied.