Web-based Archive of RIVM Publications
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Decision-making in breast cancer screening: A qualitative exploration of the match between women's beliefs and screening information in the Netherlands.
No full textObservational relationships between ammonia, carbon dioxide and water vapor under a wide range of meteorological and turbulent conditions: RITA-2021 campaign
No full textDeterminants of Dutch public health professionals' intention to use digital contact tracing support tools: A cross-sectional online questionnaire study.
No full textImmune response following a two-dose schedule of bivalent HPV vaccination among girls and boys.
No full textA Smartphone Food Record App Developed for the Dutch National Food Consumption Survey: Relative Validity Study.
No full textNudging plant-based alternatives to meat and dairy in a real-life online supermarket: A randomized controlled trial.
No full textA shift from predominantly animal-based to plant-based consumption can benefit both planetary and public health. Nudging may help to promote such a shift. This study investigated nudge effects on plant-based alternatives to meat and dairy in an online supermarket. We conducted a two-arm, parallel-group, randomized controlled real-life online supermarket trial. Each customer transaction was randomized to a control arm (regular online supermarket) or an intervention arm (addition of placement, hedonic property and dynamic social norm nudges promoting meat and dairy alternatives). Outcomes were the aggregate of meat and dairy alternative purchases (primary outcome), the number of meat purchases, dairy purchases, meat alternative purchases, and dairy alternative purchases (secondary), and retailer revenue (tertiary). Generalized linear mixed models with a Conway-Maxwell Poisson distribution were used to estimate incidence rate ratios (IRRs). Analyzed data included 8488 transactions by participants (n = 4,266 control arm, n = 4,222 intervention arm), out of which 2,411 (66%) were aged above 45 years, 5,660 (67%) were females, and 1,970 (23%) lived in socially disadvantaged neighborhoods. Intervention arm participants purchased 10% (IRR 1.10 (95% CI 0.99-1.23)) more meat and dairy alternatives and 16% (1.16 (0.99-1.36)) more meat alternatives than control arm participants, although these findings are not statistically significant. There was no difference in dairy alternative purchases (1.00 (0.90-1.10)). Intervention arm participants purchased 3% less meats (0.97 (0.93-1.02)) and 2% less dairy products (0.98 (0.95-1.02)) than control participants. Retailer revenue was not affected (0.98 (0.95-1.01)). Online nudging strategies alone did not lead to a statistically significant higher amount of plant-based purchases, but replication of this work is needed with increased study power. Future studies should also consider nudging strategies as part of a broader set of policies to promote plant-based purchases. TRIAL REGISTRATION: Prospectively registered on 14th of May 2022. ISRCTN16569242 (https://doi.org/10.1186/ISRCTN16569242)
A Circular, Wireless Surface-Electromyography Array.
No full textCommercial, high-tech upper limb prostheses offer a lot of functionality and are equipped with high-grade control mechanisms. However, they are relatively expensive and are not accessible to the majority of amputees. Therefore, more affordable, accessible, open-source, and 3D-printable alternatives are being developed. A commonly proposed approach to control these prostheses is to use bio-potentials generated by skeletal muscles, which can be measured using surface electromyography (sEMG). However, this control mechanism either lacks accuracy when a single sEMG sensor is used or involves the use of wires to connect to an array of multiple nodes, which hinders patients' movements. In order to mitigate these issues, we have developed a circular, wireless s-EMG array that is able to collect sEMG potentials on an array of electrodes that can be spread (not) uniformly around the circumference of a patient's arm. The modular sEMG system is combined with a Bluetooth Low Energy System on Chip, motion sensors, and a battery. We have benchmarked this system with a commercial, wired, state-of-the-art alternative and found an r = 0.98 (p < 0.01) Spearman correlation between the root-mean-squared (RMS) amplitude of sEMG measurements measured by both devices for the same set of 20 reference gestures, demonstrating that the system is accurate in measuring sEMG. Additionally, we have demonstrated that the RMS amplitudes of sEMG measurements between the different nodes within the array are uncorrelated, indicating that they contain independent information that can be used for higher accuracy in gesture recognition. We show this by training a random forest classifier that can distinguish between 6 gestures with an accuracy of 97%. This work is important for a large and growing group of amputees whose quality of life could be improved using this technology
Differential susceptibility of geographically distinct Ixodes ricinus populations to tick-borne encephalitis virus and louping ill virus
No full textTick-borne encephalitis virus (TBEV) is an emerging pathogen in the Netherlands. Multiple divergent viral strains are circulating and the focal distribution of TBEV remains poorly understood. This may, however, be explained by differences in the susceptibility of tick populations for specific viruses and viral strains, and by viral strains having higher infection success in their local tick population. We investigated this hypothesis by exposing Dutch Ixodes ricinus ticks to two different TBEV strains: TBEV-NL from the Netherlands and TBEV-Neudoerfl from Austria. In addition, we exposed ticks to louping Ill virus (LIV), which is endemic to large parts of the United Kingdom and Ireland, but has not been reported in the Netherlands. Ticks were collected from two locations in the Netherlands: one location without evidence of TBEV circulation and one location endemic for the TBEV-NL strain. Ticks were infected in a biosafety level 3 laboratory using an artificial membrane feeding system. Ticks collected from the region without evidence of TBEV circulation had lower infection rates for TBEV-NL as compared to TBEV-Neudoerfl. Vice versa, ticks collected from the TBEV-NL endemic region had higher infection rates for TBEV-NL compared to TBEV-Neudoerfl. In addition, LIV infection rates were much lower in Dutch ticks compared to TBEV, which may explain why LIV is not present in the Netherlands. Our findings show that ticks from two distinct geographical populations differ in their susceptibility to TBEV strains, which could be the result of differences in the genetic background of the tick populations
2023 eHealth Monitor: in-depth research into digital self-management applications among two target groups
No full textSinds 2013 wordt elk jaar gemeten hoe het gaat met digitale zorg in Nederland. Ook wordt een onderdeel ervan uitgebreider onderzocht. In 2023 is gekeken naar hoe specifieke groepen mensen digitale zelfhulp kunnen gebruiken en ervaren. Het gaat om mensen met een grotere kans op diabetes type 2 (prediabetici) en mensen die de behandeling van kanker hebben afgerond. Uit dit onderzoek blijkt dat mensen graag zelf aan de slag gaan voor hun gezondheid. Beide groepen zijn ook positief over de toevoeging van digitale zelfhulp aan de zorg. Wel is voor hen een aantal zaken belangrijk bij het gebruik van digitale programma’s om leefstijl (eten, bewegen, stress en slapen) te veranderen of in de zorg na kanker. Zo moet het gebruik van digitale zelfhulp, bijvoorbeeld adviezen in een app, in verbinding staan met de sociale omgeving van die persoon, zoals familie of buren. Of is het belangrijk dat de programma’s gratis zijn of worden vergoed. Beide groepen willen dat hun zorgverlener hen helpt bij een keuze te maken uit digitale programma’s. Voor prediabetici zijn er zoveel leefstijlprogramma’s dat mensen niet meer weten wat te kiezen. Overlevenden van kanker weten juist niet dat er digitale programma’s voor nazorg bestaan en waar ze die kunnen vinden. Het is belangrijk dat zorgverleners daaraan meer aandacht besteden. Wanneer mensen de juiste digitale programma’s hebben gevonden, willen sommigen graag dat een ondersteuner hen helpt bij het gebruik ervan. Bij prediabetici kunnen dat bijvoorbeeld huisartsen, diëtisten en GLI (Gecombineerde Leefstijl Interventie)-coaches zijn. Bij de zorg na kanker kunnen dat oncologen, verpleegkundigen en de praktijkondersteuner van huisartsen-Geestelijke Gezondheidszorg (POH-GGZ) zijn. Het is belangrijk dat ondersteuners de ruimte hebben om deze hulp te kunnen geven. Het E-healthmonitor-onderzoek wordt gedaan op verzoek van het ministerie van VWS. RIVM doet dit onderzoek sinds 2020 met het Nivel en het National eHealth Living Lab (NeLL, LUMC). Zorgaanbieders, makers van digitale programma’s, beleidsmakers en patiënten kunnen dit onderzoek gebruiken om de digitale zorg te verbeteren.Since 2013, the development of digital healthcare in the Netherlands has been monitored every year. Each year, a specific partof digital healthcare is examined in more detail. In 2023, we looked at how specific groups of people can use and experience digital self-management applications. We interviewed people who have an elevated risk of type 2 diabetes (prediabetics) and people who have completed cancer treatment. This research shows that people are willing to take control of their own health. Additionally, both groups are positive about the addition of digital self-management applications to the healthcare system. However, a number of things are important to them when using digital applications to change their lifestyle (eating, physical activity, stress and sleep) or in post-cancer care. For example, when receiving advice in a lifestyle-app, this must be supported by people in that person’s social environment, such as family or neighbours. It is also important that the applications are free to use or reimbursed by their health insurance. Both groups want their healthcare provider to help them choose digital applications. For prediabetics, there are so many lifestyle-apps that people no longer know what to choose. By contrast, cancer survivors do not know that digital post-cancer care applications exist and where they can find them. It is important that care providers issue more guidance on this. Some people who have found the right digital-self management applications would like support to help them use them. For prediabetics, this could be general practitioners, dietitians and Combined Lifestyle Intervention (CLI) coaches, for example. For people in post-cancer care, this could include oncologists, nurses and general practice mental health nurses (praktijkondersteuner huisarts geestelijke gezondheidszorg, POH-GGZ). It is important that support staff have the time to provide this help. The eHealth Monitor is conducted at the request of the Ministry of Health, Welfare and Sport. RIVM has been conducting this study since 2020, in partnership with Nivel and the National eHealth Living Lab (NeLL, LUMC). Care providers, developers of digital applications, policymakers and patients can use this research to improve digital healthcare
