Onderzoekers van het MOVES-onderzoeksprogramma hebben een vierde whitepaper uitgebracht. In deze publicatie is de belangrijkste kennis over maatschappelijke effecten van topsportevenementen bij elkaar gebracht. Ook zijn er kennishiaten benoemd die richting geven aan vervolgonderzoek. De thema’s die worden behandeld zijn: sportdeelname, welzijn, sociale cohesie, trots en geluk. Daarnaast is beschreven op welke manier topsportevenementen als hefboom (‘podium’) gebruikt kunnen worden en hoe dat tot impact en legacy kan leiden. Dit whitepaper maakt deel uit van werkpakket 4.
Background Prehabilitation offers patients the opportunity to actively participate in their perioperative care by preparing themselves for their upcoming surgery. Experiencing barriers may lead to non-participation, which can result in a reduced functional capacity, delayed post-operative recovery and higher healthcare costs. Insight in the barriers and facilitators to participation in prehabilitation can inform further development and implementation of prehabilitation. The aim of this review was to identify patient-experienced barriers and facilitators for participation in prehabilitation. Methods For this mixed methods systematic review, articles were searched in PubMed, EMBASE and CINAHL. Articles were eligible for inclusion if they contained data on patient-reported barriers and facilitators to participation in prehabilitation in adults undergoing major surgery. Following database search, and title and abstract screening, full text articles were screened for eligibility and quality was assessed using the Mixed Method Appraisal Tool. Relevant data from the included studies were extracted, coded and categorized into themes, using an inductive approach. Based on these themes, the Capability, Opportunity, Motivation, Behaviour (COM-B) model was chosen to classify the identified themes. Results Three quantitative, 14 qualitative and 6 mixed methods studies, published between 2007 and 2022, were included in this review. A multitude of factors were identified across the different COM-B components. Barriers included lack of knowledge of the benefits of prehabilitation and not prioritizing prehabilitation over other commitments (psychological capability), physical symptoms and comorbidities (physical capability), lack of time and limited financial capacity (physical opportunity), lack of social support (social opportunity), anxiety and stress (automatic motivation) and previous experiences and feeling too fit for prehabilitation (reflective motivation). Facilitators included knowledge of the benefits of prehabilitation (psychological capability), having access to resources (physical opportunity), social support and encouragement by a health care professional (social support), feeling a sense of control (automatic motivation) and beliefs in own abilities (reflective motivation). Conclusions A large number of barriers and facilitators, influencing participation in prehabilitation, were found across all six COM-B components. To reach all patients and to tailor prehabilitation to the patient’s needs and preferences, it is important to take into account patients’ capability, opportunity and motivation.
The current state of international higher education is under discussion. What are the perils and pitfalls for international education in the present and near future? Do we have to change or at least update our mindset with respect to the values and rationales for internationalisation? Is internationalisation as we know it coming to an end?
MULTIFILE
Horse riding falls under the “Sport for Life” disciplines, where a long-term equestrian development can provide a clear pathway of developmental stages to help individuals, inclusive of those with a disability, to pursue their goals in sport and physical activity, providing long-term health benefits. However, the biomechanical interaction between horse and (disabled) rider is not wholly understood, leaving challenges and opportunities for the horse riding sport. Therefore, the purpose of this KIEM project is to start an interdisciplinary collaboration between parties interested in integrating existing knowledge on horse and (disabled) rider interaction with any novel insights to be gained from analysing recently collected sensor data using the EquiMoves™ system. EquiMoves is based on the state-of-the-art inertial- and orientational-sensor system ProMove-mini from Inertia Technology B.V., a partner in this proposal. On the basis of analysing previously collected data, machine learning algorithms will be selected for implementation in existing or modified EquiMoves sensor hardware and software solutions. Target applications and follow-ups include: - Improving horse and (disabled) rider interaction for riders of all skill levels; - Objective evidence-based classification system for competitive grading of disabled riders in Para Dressage events; - Identifying biomechanical irregularities for detecting and/or preventing injuries of horses. Topic-wise, the project is connected to “Smart Technologies and Materials”, “High Tech Systems & Materials” and “Digital key technologies”. The core consortium of Saxion University of Applied Sciences, Rosmark Consultancy and Inertia Technology will receive feedback to project progress and outcomes from a panel of international experts (Utrecht University, Sport Horse Health Plan, University of Central Lancashire, Swedish University of Agricultural Sciences), combining a strong mix of expertise on horse and rider biomechanics, veterinary medicine, sensor hardware, data analysis and AI/machine learning algorithm development and implementation, all together presenting a solid collaborative base for derived RAAK-mkb, -publiek and/or -PRO follow-up projects.
Various companies in diagnostic testing struggle with the same “valley of death” challenge. In order to further develop their sensing application, they rely on the technological readiness of easy and reproducible read-out systems. Photonic chips can be very sensitive sensors and can be made application-specific when coated with a properly chosen bio-functionalized layer. Here the challenge lies in the optical coupling of the active components (light source and detector) to the (disposable) photonic sensor chip. For the technology to be commercially viable, the price of the disposable photonic sensor chip should be as low as possible. The coupling of light from the source to the photonic sensor chip and back to the detectors requires a positioning accuracy of less than 1 micrometer, which is a tremendous challenge. In this research proposal, we want to investigate which of the six degrees of freedom (three translational and three rotational) are the most crucial when aligning photonic sensor chips with the external active components. Knowing these degrees of freedom and their respective range we can develop and test an automated alignment tool which can realize photonic sensor chip alignment reproducibly and fully autonomously. The consortium with expertise and contributions in the value chain of photonics interfacing, system and mechanical engineering will investigate a two-step solution. This solution comprises a passive pre-alignment step (a mechanical stop determines the position), followed by an active alignment step (an algorithm moves the source to the optimal position with respect to the chip). The results will be integrated into a demonstrator that performs an automated procedure that aligns a passive photonic chip with a terminal that contains the active components. The demonstrator is successful if adequate optical coupling of the passive photonic chip with the external active components is realized fully automatically, without the need of operator intervention.
Rugpijn komt voor bij veel paarden. De pijngrens van ieder paard is verschillend, het is lastig te constateren of een paard rugpijn heeft. De oorzaken van rugpijn kunnen uiteenlopen zoals slecht passend zadel, kreupelheid, orgaanproblemen, manier van rijden, overbelasting of wervelblokkades. Momenteel wordt rugpijn geconstateerd middels handelingen zoals voelen aan spieren of wervels, visueel beoordelen van de rug. Objectieve analyses op gebied van rug problematieken en bewegingskwaliteit zijn op dit moment erg uitdagend. Het is mensenwerk en vaak zijn de meningen verdeeld zelfs tussen experts met ruime ervaring. Het equine back measurement system kan voor de sector een gamechanger worden door de mogelijkheid om de rug/romp beweging van het paard te objectiveren en kwantificeren en zodoende rugklachten te kunnen aantonen. Het equine back measurement systeem maakt met behulp van sensoren een 3D scan van het rugoppervlak tijdens bewegen (stap/draf) op een lopende band. Middels AI software analyse volgt hieruit een resultaat van de metingen en geeft het systeem aan waar opvallende afwijkingen zitten in de bewegende oppervlaktepatronen. Met deze informatie kan dan bijv. een zadelmaker het zadel op de juiste manier instellen voor het betreffende paard of zijn er indicaties voor nader veterinair onderzoek. Het equine back measurement system zou gecombineerd kunnen worden met alle bestaande lopende band opstellingen voor paarden. In de toekomst zou het systeem zelfs gebruikt kunnen worden om een nieuw te ontwikkelen zadel met luchtkamers aan te sturen. In dit project ligt de focus op genereren van een 3D model met behulp van sensoren zoals dieptecamera’s. Op basis van de ervaring met bewegingsmetingen bij paarden van projectpartner Equimoves is gebleken dat het systeem 200 - 300 metingen per seconde moet kunnen maken om voldoende details te kunnen zien. Bij dit project zijn verder betrokken Peard (zadeldrukmetingen) en Paardenkliniek Venlo.
