RACE 9

Registry-based research enables faster and cheaper clinical research by using real world data. This is particularly important in patient populations where research is otherwise difficult to conduct, such as heart failure patients with comorbidities. The main aim of the Heart4data consortium is therefore to develop a sustainable infrastructure for cardiovascular registry-based research in the Netherlands. This includes governance and Information Technology (IT) infrastructure, research methods, FAIR (findable, accessible, interoperable and reusable) data creation and data linkage with relevant databases.     About Heart4Data  The Heart4Data consortium is building on the core qualities and experience of DCVA partners. Heart4Data will create a DCVA Health Data Hub that will be part of the DCVA pillar Data Infrastructure to combine all expertises across the different DCVA partners as part of the sustainability program.    In addition, Heart4Data will contribute to improvement of valorisation and implementation through accelerating the generation of results and facilitate DCVA consortia by providing a platform for research at lower operational costs compared to more traditional research methods.    The Research 1. To create a national and sustainable FAIR data-based infrastructure for cardiovascular registry-based research.  The infrastructure includes a framework/structure for the governance, and the ethical, legal, financial, technological and methodological factors. There will be a special focus on heart failure in this project by creating a sustainable heart failure (and atrial fibrillation (AF)) registry in the Netherlands Heart Registration (NHR) and links with other relevant national and regional registries and data sources.    2. To use and prove value of the infrastructure by conducting two projects:    - Observational, longitudinal research on the entire spectrum of patients with heart failure (including patients with HFpEF) in the Netherlands (project A) with focus on guideline recommended diagnostic trajectories and treatment.  - Prospective randomized clinical research on pharmaco-therapeutic treatment in patients with chronic heart failure (project B: SELEQT-HF).  The origin One of the five top priorities named on the cardiovascular disease research agenda that the Dutch Heart Foundation set in 2014 was finding better treatment for heart failure and arrhythmias. Back in 2014, when the research agenda was drawn up, it became clear that registry-based research is essential for this. The Dutch Heart Foundation therefore funded this study as part of the collaboration with the ZonMw GGG program on Good Use of Medicines (Goed Gebruik Geneesmiddelen). For a complex project such as this, collaboration within the entire cardiovascular field is an important starting point. The consortium is a collaboration between several DCVA partners; the Dutch Heart Foundation, ZonMw, NHR, WCN, Harteraad, NLHI, NVHVV, NVT, NVVC, VIG and Health-RI.  

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.