Predicting mobile health adoption behaviour: A demand side perspective

Abstract

Several studies have postulated that the application of information and communication technology, specifically, wireless and an internet communications system, into traditional healthcare services is imperative to fulfill the expectations of quality, cost, flexibility, efficiency, and effectiveness placed on the present in-patient, out-patient, and emergency medical services of our brick and mortar healthcare system. This idea supported the necessity of implementing a mobile healthcare service, which we refer to here as M-health. To streamline this service, we argue that identification of consumer behaviour to pursue the adoption of M-health is essential for this exploratory field. Through a literature review, and in light of the Technology Acceptance Model, an adoption model of M-health was proposed. From structural equation modelling, we identified that perceived usefulness, perceived ease of use, perceived reliability, and perceived security and privacy are the independent constructs that can act as the driving influences of attitude towards adopting an M-health system for diabetic patients.