CARRIER

Smoking tobacco and physical inactivity are key preventable risk factors of cardiovascular disease (CVD). Perfect Fit aims to prevent CVD, promote well-being, and reduce healthcare costs, particularly targeting disadvantaged populations where smoking and physical inactivity are prevalent. The Research The project develops tailored, evidence-based, near real-time computer coaching for quitting smoking and enhancing PA. For every individual, a personal model is designed which generates personalized recommendations based on high-quality existing and newly collected data, and adapts to changing circumstances/progress (similar to a TomTom navigation system), using machine learning techniques and incorporating domain-specific expert knowledge (e.g. health behaviour change strategies). Virtual coaches (VCs) communicate advice in a motivating way that fits individuals’ persuasive communication styles. Perfect Fit integrates big-data science, sensor technology, and personalized real-time feedback to support smoking cessation and promote adequate physical activity (in both gym settings and daily life). The key questions of this study are: Which adaptivity is needed to create a robust, safe, and effective interaction between individuals and machines? How can we develop advanced data science methods and embed this in current smoking cessation and PA coaching practice? How do measurement modalities, feedback and communication affect individuals’ smoking status and PA? 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.

In the past decade, there has been significant progress in understanding sex- and gender-based differences in cardiovascular diseases (CVD). However, this knowledge remains scattered across medical literature, highlighting the need for a centralized platform accessible to healthcare professionals, scientists, policymakers, and patients. The IMPRESS consortium aims to establish a knowledge platform focused on gathering, summarizing, and prioritizing existing knowledge related to sex- and gender-specific aspects of CVD. This initiative seeks to promote the implementation of existing knowledge into clinical practice, identify knowledge gaps, and inform policymakers about areas requiring additional attention. In substantial portions of women with symptoms of myocardial ischemia, obstructive disease in the epicardial coronary arteries is absent. Currently, such women undergo multiple diagnostic tests, which do not always result in a conclusive diagnosis. IMPRESS seeks to reduce missed and delayed diagnoses of heart diseases in women, improving cardiovascular care outcomes nationwide. The knowledge platform will serve as a national resource, fostering collaboration and supporting the adoption of sex- and gender-sensitive practices in cardiovascular medicine. The Research IMPRESS consolidates existing knowledge, fosters research, and implements findings into practice wherever possible (for example by creating a Decision Support Tool for primary care and for cardiologists). Within the IMPRESS consortium, the following studies are being conducted: Delphi study: delayed or missed diagnosis of heart disease Silent heart attacks: causes, symptoms, and risk factors of silent myocardial infarctions UMCU-IMPRESS pilot study: undetected coronary microvascular disease (CMD) Peripheral-Flow: LASCA technique in CMD Dutch registry of coronary function tests   The origin In the past decade, the understanding of sex- and gender differences in CVD has considerably improved. However, relevant evidence is scattered throughout the medical literature. There is a need to make this information easily accessible to health care professionals, scientists, policy makers and patients. Implementation of existing knowledge in clinical practice will then be promoted, knowledge gaps identified, and policy makers informed on the areas that need additional attention. This is also of high importance to the Dutch Heart Foundation, which therefore funded the IMPRESS consortium; a collaboration between several DCVA partners; the Nederlandse Vereniging voor Cardiologie (NVVC), WCN, Netherlands Heart Institute (NLHI), ZonMw and the Dutch Heart Foundation, supported by the DCVA.