Phaedra-impact

The STRAP consortium aims to reduce the burden of heart disease by early detecting heart disease deterioration, benefiting patients, healthcare workers, and society. This initiative responds to acute needs observed in cardiology clinics, combined with the increasing availability of health tracking technologies. The project focuses on developing a new, AI-powered solution using cost-effective technology to maximize impact on healthcare costs. The Research STRAP is dedicated to developing a comprehensive data collection platform integrating off-the-shelf and cutting-edge self-tracking technologies. This platform empowers patients to measure vital signs at home, eliminating the need for frequent clinic visits and enabling longitudinal data collection on daily activities and emotions. The platform enhances self-tracking adherence through gamification strategies. The project involves developing and evaluating novel diagnostic and prognostic methods through two trials with target groups where notable improvements are achievable and highly impactful: Trial for Elderly Heart Patients: reducing re-hospitalization among elderly heart patients to minimize health deterioration and healthcare costs. Trial at Cardiac Outpatient Clinics: lower costs and enhance the quality of heart disease diagnosis for individuals attending cardiac outpatient clinics. The foundation of the trials is twofold. Establishing a Robust Dataset: creating an interconnected dataset to evaluate digitalized techniques' performance in relation to health records. This dataset incorporates electrocardiography data, stethoscope audio recordings, wrist-worn device activity levels, electronic nose sensor data, and self-reported information via IoT technologies, including parameters like water consumption, sleep patterns, real-time feelings, physiological responses, and overall patient well-being. Employing this diverse dataset, STRAP develops innovative analysis and early diagnosis methods to advance heart disease detection and monitoring. Through these efforts, STRAP aims to implement advanced technologies and data-driven approaches to significantly impact heart disease management. Origin This project was funded within the Big Data & Health Program. The focus of this public-private research program is the use of big data for the early detection and prevention of cardiovascular diseases. The program has been developed by NWO, ZonMw, the Dutch Heart Foundation, the Top Sectors Life Sciences & Health (LSH), ICT and Creative Industry, the Ministry of Health, Welfare and Sport, and the Netherlands eScience Center. Within this research program, the ambitions of the Dutch Heart Foundation, the Ministry of Health, Welfare and Sport, and the Netherlands eScience Center were aligned with the ambitions of Commit2Data for the Top Sectors ICT, LSH, and Creative Industry, as described in the 2018-2019 Kennis- en Innovatiecontracts between NWO and the Top Sectors.

A healthy lifestyle - a healthy diet and adequate exercise - contribute significantly to chronic disease prevention. People with a lower socioeconomic position (SEP) often have an unhealthier lifestyle than people with a higher SEP. However, interventions aimed at promoting a healthy lifestyle reach precisely this lower SEP target group poorly and may increase social inequality. A possible explanation is that interventions traditionally tend to focus on individual determinants of behavior such as knowledge, attitudes and intentions. Moreover, these interventions are often not effective, partly because they do not take into account the - social, physical and political - context in which lifestyle choices are made: unhealthy behavior can be seen as an automatic reaction to the 'obesogenic' environment. Changes in and of the environment in which people live can go a long way in promoting healthy lifestyles and reaching all target groups. Changes in the environment should ensure that the healthy choice becomes the easy choice, the obvious choice or even the only choice, especially also for the hard to reach and change target groups such as people with lower education. However, whether environmental interventions are also effective in improving cardiovascular disease risk factors in the longer term is not known and needs to be investigated. The Research Supermarkets form one of the most important point-of-choice settings with the potential to directly influence purchasing behaviors. ‘Nudges’ (small environmental encouragements) target the quick, automatic choices and do not require conscious decision making, and pricing strategies can seduce consumers to buy healthier alternatives. Such environmental cues can make it easier to initiate and maintain a healthy lifestyle, and as such, to improve cardiometabolic health. In addition, the use of theory-based mobile applications is an effective way to provide tailored and context-specific feedback on physical activity behaviors through the stimulation of ‘goal setting’ and ‘self-management’. Being incorporated in structures and systems, environmental interventions can make the healthy choice an easy choice for everyone. As such, these types of interventions are especially effective in reaching otherwise difficult-to-reach groups such as people with a lower socioeconomic position (SEP). In particular, a combination of ‘nudging’ (targeting automatic behaviors), ‘pricing’ (responding to the price-sensitivity of low income consumers) and tailored physical activity feedback and support (which works better than general education), seems promising for lowering cardiometabolic risk in individuals with low SEP. Yet, the existing evidence is mostly restricted to short-term effects on (proxies of) health behaviors, and little is known about long-term impact of such integrated interventions on cardiometabolic risk factors. With SUPREME NUDGE we expand a previous successful Dutch supermarket pricing strategy intervention, and incorporate promising elements such as nudging and ICT applications to provide real-time and context-specific physical activity feedback. We will investigate the effects of this approach on dietary behaviors, physical activity and established cardiometabolic risk factors in adults with a lower SEP. Using principles from Participatory Action Research and systems thinking, we will consult with the relevant stakeholders to explore options for upscaling and further implementation in society. Outcomes will provide policy- and practice relevant evidence with clear, stepwise and realistic leverage points for helping individuals to maintain healthy behaviors and improve their cardiometabolic health by making the healthy choice the easy choice. SUPREME NUDGE is coordinated by the Amsterdam UMC, location VU University, and includes partners from the VU University, University of Amsterdam, Utrecht University Medical Center, Utrecht University, the Dutch Nutrition Center, Te Velde Research, Nynke van der Laan (ICT developer), Duwtje (creative designers) and supermarket chain Coop. The origin The Heart Foundation aims for more people to make healthy choices, so that they feel vital and run less risk of developing (again) cardiovascular diseases, which was one of the themes of the reserach agenda. With its prevention programs, ZonMw contributes to the improvement of prevention practice, to health gains and to reducing socioeconomic health disparities. Results from research show that healthy behavior cannot be taken for granted, and is strongly influenced by people's social and physical environment and socioeconomic status. Proven effective, innovative and accessible methods to enable people to maintain a healthy lifestyle for a long time are lacking. Therefore, the Dutch Heart Foundation and ZonMw have collaborated to form the program "Gezond leven: goed voor het Hart!". SUPREME NUDGE is one of the projects funded from this program.