Design of a multidimensional digital system to enhance self-management in cardiovascular risk prevention programs

Abstract

Cardiovascular diseases (CVD) are the leading cause of death worldwide. While metabolic factors such as age and gender affect greatly, most of the CV events can be prevented by addressing behavioural risk factors such as physical inactivity, smoking or bad diet.

CV prevention programs aim to reduce the burden of these conditions by providing guidance to individuals and predict negative outcomes, but adherence to these programs rely heavily on individual capabilities and intrinsic drivers. The proposed product-service system enables self-management of risk prevention programs by tracking progress and adapting to interactions with the app.

The product enables self-assessment and individual strategies for each risk factor as well as connectivity for future appointments in the prevention program.
Based on different personality types, the system tailors the tone of information presented to the user to nudge and motivate the user with intrinsic drivers and capabilities such as health literacy.