Our novel approach focuses on using economic incentives to motivate healthy change at a mass population scale. We combine incentives within our preventive medicine platform to inspire individuals to lead physically active lifestyles. Additionally, we provide a network of educational resources to empower individuals to adopt healthy lifestyle choices into their daily routine. Our unique and progressive approach presents individuals the opportunity to enjoy the lifelong benefits of a physically active lifestyle, rid of obesity-related complications.
Currently, we offer our flagship health project, FitLifeFlow, to enable a system of rewards and incentives for consistent exercise with the design of our project sourced by the recommendations of the Center for Disease and Control (CDC) and U.S. Surgeon General. It is a personal health pledge to exercise three times per week, with a minimum of 30 minutes per session, for five weeks leading to rewards for our health participants.
Leading the burgeoning field of preventive medicine and digital health, the program design of our national health project is directed and influenced by scientific literature in medical literature. One notable medical study is a randomized, control trial (RCT) study indicating financial incentives framed with a loss component leads to increased physical activity levels and retention as led by physicians at University of Pennsylvania (Patel et al., 2016).
While the nonprofit manages the operations of the health project at the national level, our student members at each college is responsible for organizing the health project within the student community, engaging with the health participants, and hosting educational sessions for medical nutrition and proper personal health management.
For the academic year 2017-2018, we are focused on continuously developing a preventive medicine technology platform on mobile devices to pilot our first health outreach component by our nonprofit members for at-risk health participants at the student demographic based on traditional clinical risk factors such as weight, height, BMI, heart rate, blood pressure, and soon glucose monitoring at a population level.