Check@Home

2022

In the Netherlands, there is no national approach for early detection of cardiovascular disease, kidney disease and type 2-diabetes in the general population, despite the social and economic impact of these disorders. The Check@Home consortium was founded to fill this gap and aims to lower the morbidity and mortality of cardiovascular disease, chronic kidney disease and type 2 diabetes by 25% in the next ten years, and thereby decrease the burden of these chronic diseases.

The Focus

Due to common risk factors such as high blood pressure, obesity and the aging population, the number of people suffering from cardiovascular disease, chronic kidney disease or type 2-diabetes is expected to increase excessively in 2030. A large proportion of people are not aware of having these diseases, as it is often present without overt symptoms. Fortunately, these chronic conditions can be detected at an early stage, allowing for adequate and early treatment to prevent (the progression of) these conditions and their complications. Check@Home aims to do so by developing a (cost-)effective national program that is accessible to all socio-economic groups and takes place in the citizen's own living environment, making it comfortable for citizens to do. It will also reduce the burden on primary care and contribute to the affordability and sustainability of healthcare. The program is designed and implemented in close collaboration with citizens, patients, and local citizen initiatives, to make sure that this program is a durable solution for all groups of society.

The Research

In total 160,000 people aged 50-75 years and living in Breda, Utrecht, Arnhem and Eindhoven, will be invited to participate in the study with a home-based test using the Check@Home digital platform. In case of early signs of cardiovascular disease, kidney damage or diabetes type 2, a targeted work-up will follow in a regional diagnostic center. If necessary, lifestyle advice and initiation of medication will be provided to relieve regular care as much as possible.

The Origin

At the request of several DCVA partners, including the Dutch Heart Foundation, which has earlier recognition of cardiovascular disease highly prioritized on its national research agenda, which was drawn up at the initiative of the Dutch Heart Foundation in 2014 and revised in 2020, the DCVA explored the potential for a national initiative to develop the first population screening for cardiovascular disease in 2020. The Check@Home study builds on previous studies, including the KidneyCheck study. To achieve a national approach to the early detection of diabetes, cardiovascular disease and chronic kidney damage, the DCVA, Dutch Heart Foundation, Dutch Kidney Foundation and Dutch Diabetes Fund established the Check@Home consortium. This is a collaboration of multiple research groups, private parties, and research funders: NWO, the Dutch Heart Foundation, the Dutch Kidney Foundation and the Dutch Diabetes Fund.

The projectcoƶrdinators are Dr. Lyanne Kieneker and Dr. Stephanie van der Voorn.

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Funded

Contact person:

Dr. Lyanne Kieneker

Principal investigators

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COVID@Heart

2020
About 10% of the COVID-19 affected patients develop critical illness with a high mortality rate. This critical illness appears to be strongly linked with cardiovascular disease, as the prevalence of cardiovascular comorbidities and risk factors (such as diabetes and obesity) are often found among hospitalized COVID-19 patients. The consortium COVID@Heart believes that mitigating this cardiovascular burden of Covid-19 should start early, while patients are (still) outside the hospital. The Research COVID@Heart has three core activities: Develop a tool to identify high-risk cardiovascular patients with COVID-19 in a home environment, before the critical illness emerges. This tool will allow general practitioners to better notify high-risk patients, monitor them more closely (e.g. by using home saturation measurements), prescribe preventive cardiovascular medication earlier ('moon shot') and refer them to a hospital promptly when needed. Create a diagnostic tool to improve early differentiation between COVID-19 and a myocardial infarction, addressing the challenge of overlapping symptoms faced by general practitioners. Design a questionnaire supplemented by select biomarkers and blood tests to enhance the detection of cardiovascular disease in COVID-19 survivors experiencing prolonged symptoms of fatigue and shortness of breath, as these symptoms are potentially linked to accelerated subclinical cardiovascular disease. Origin Accurate information on how cardiovascular patients fared while still at home is lacking. This information is crucial to prevent hospital admissions. Therefore, COVID@HEART focuses on people who are not hospitalized but are at home and treated by their general practitioners. The Dutch Heart Foundation supports and funds this research into the best treatment for cardiovascular patients with a coronavirus infection.  
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PERFECT-FIT

2020
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.
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