The long-term economic viability of modern health care systems is uncertain, in part due to costs of health care at the end of life and increasing health care utilization associated with an increasing population prevalence of multiple chronic diseases. Control of health care spending and sustaining delivery of health care services will require strategic investments in prevention to reduce the risk of disease and its complications over an individual's life course. Behavior change interventions aimed at reducing a range of harmful and risky health-related behaviors including smoking, physical inactivity, excess alcohol consumption, and excess weight, are one approach that has proven effective at reducing risk and preventing chronic disease. However, large-scale efforts to reduce population-level chronic diseases are challenging and have not been very successful at reducing the burden of chronic diseases. A new approach is required to identify when, where, and how to intervene to disrupt patterns of behavior associated with high-risk factors using context-specific interventions that can be scaled. This paper introduces the need to integrate theoretical and methodological principles of health geography and behavioral economics as opportunities to strengthen behavior change interventions for the prevention of chronic diseases. We discuss how health geography and behavioral economics can be applied to expand existing behavior change frameworks and how behavior change interventions can be strengthened by characterizing contexts of time and activity space.
Keywords: activity space; behavior change interventions; behavioral economics; health geography; prevention chronic disease; temporal patterns.
Behavior change interventions are challenged by lack of information about the contexts influencing decisions patients make as part of their daily routine such as when, where, and how health behaviors occur. A new approach is required to strengthen behavior change interventions by integrating contexts of time and activity space so that strategies can be scaled across populations to influence how individuals make decisions about improving their health behaviors. Incorporating ideas from health geography and behavioral economics into the design of behavior change interventions provides an opportunity to collect and investigate individual-level health information characterizing contexts of individuals’ activities across space, connections to place, time management, and patterns in behavior over time. By visualizing and characterizing key spatiotemporal contexts about an individual’s day-to-day routine, insight can be gained about where and for how long activities occur and what opportunities exist for adapting day-to-day routines. This paper will discuss how theory from health geography could be applied to understand contexts influencing behaviors and how spatiotemporal information could be applied for the purpose of tailoring behavioral economic strategies to strengthen the design of behavior change interventions.
© The Author(s) 2023. Published by Oxford University Press on behalf of the Society of Behavioral Medicine.