Capitalizing on the potential of mobile health applications as behavioral interventions: A research agenda for calorie‐tracking and activity‐tracking applications

Abstract

AbstractMobile health applications (mHealth apps) are widely used tools that provide support for people seeking help managing their health in a particular behavioral domain (e.g., physical activity). Despite their popularity, evidence for the effectiveness of mHealth apps as stand‐alone behavioral interventions is limited. Psychological and behavioral scientists can play a critical role in addressing this gap by pursuing programs of research that leverage basic behavioral science principles to test links between key features of mHealth apps (e.g., goal setting, feedback) and behavior change. To demonstrate this approach to evaluating mHealth apps, we systematically examine five key features of popular calorie‐tracking and activity‐tracking apps, explain how these features align with established behavior change techniques, discuss the evidence base for the effectiveness of these techniques within each behavioral domain, and situate predictions about how individual app features may promote behavior change in a conceptual model. Through this work, researchers can guide the design of mHealth apps and optimize them for facilitating sustained health behavior change.