This chapter revisits the concept of internationalisation at home in light of the COVID pandemic and also of experiences and ongoing discourses on internationalisation. These include how internationalisation at home relates to diversity, inclusion and decolonisation of curricula. It discusses how the COVID pandemic has led to increased attention to internationalisation at home but also that confusion about terminology and the desire for physical mobility to be available to students may lead us to return to pre-COVID practices, in which internationalisation is mainly understood as mobility for a small minority of students and internationalisation of the home curriculum is a poor second best. A component of this chapter is how Virtual Exchange and Collaborative Online International Learning (COIL) have moved into the spotlight during the pandemic but were already in focus areas well before. This will be illustrated by some recent developments in internationalisation at home, mainly from non-Anglophone, European and particularly Dutch perspectives.
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Increasingly, internationalisation at home and internationalisation of the curriculum are adopted by universities across the globe but their systemic implementation is a complex process. For instance, academics and academic disciplines understand and approach internationalisation differently, as previous studies have shown. However, there is little research on the role of such disciplinary perspectives in relation to different internationalisation practices and interventions. Using the Becher-Biglan framework of academic tribes, this exploratory study compares 12 undergraduate programmes at a Dutch university of applied sciences and addresses the question if the different disciplinary approaches to internationalisation as identified in previous studies are also reflected in the choices of internationalisation at home activities. The findings show there is more variation in the range of activities rather than in the types of activities and that it is within the rationales underlying those choices where the influence of disciplinary perspectives is more visible.
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Key summary points Aim To reach consensus on terminology, organisational aspects, and outcome domains of geriatric rehabilitation for older people living at home. Findings In three rounds, an international panel reached a consensus regarding the term “home-based geriatric rehabilitation” to distinguish it from inpatient rehabilitation. The panel also identifed key organisational aspects essential for its implementation and concluded that participation and activity are the primary outcome domains to focus on. Message The results of this International Delphi shows consensus of experts on various topics in home-based GR, which is important to further develop international collaboration, development and research on this topic. Abstract Purpose Internationally, many diferences are observed regarding the practice of geriatric rehabilitation for older people living at home. To improve international collaboration and research on this topic, we aimed to reach a consensus on terminology, organisational aspects, and outcome domains to focus on. Methods We conducted a three-round online Delphi study among 60 (Home-based) geriatric rehabilitation experts from 14 countries. In the frst round, we collected diverse perspectives and input through statements and questions. In the subsequent rounds, participants rated statements on a 5-point Likert scale. Each statement could be accompanied by written feedback. After each round, results were presented anonymously to the participants, and statements on which no consensus was reached were rephrased. Consensus was defned as 70% or more participants (fully) agreeing with a statement. Results Sixty, 52, and 46 experts completed rounds 1, 2 and 3, respectively. After two rounds, we reached a consensus on ten statements and on the remaining four in the last round. A consensus was reached on the terminology used (i.e., home-based geriatric rehabilitation) and on several organisational aspects (e.g., essential aspects to consider for starting home-based geriatric rehabilitation and the importance of a knowledgeable case manager). Lastly, experts agreed that participation and activity are the most important outcome domains to focus on. Conclusions Through an international Delphi study, we reached consensus on various important aspects of home-based geriatric rehabilitation. These outcomes provide a basis for further development of this emerging feld.
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As the Dutch population is aging, the field of music-in-healthcare keeps expanding. Healthcare, institutionally and at home, is multiprofessional and demands interprofessional collaboration. Musicians are sought-after collaborators in social and healthcare fields, yet lesser-known agents of this multiprofessional group. Although live music supports social-emotional wellbeing and vitality, and nurtures compassionate care delivery, interprofessional collaboration between musicians, social work, and healthcare professionals remains marginal. This limits optimising and integrating music-making in the care. A significant part of this problem is a lack of collaborative transdisciplinary education for music, social, and healthcare students that deep-dives into the development of interprofessional skills. To meet the growing demand for musical collaborations by particularly elderly care organisations, and to innovate musical contributions to the quality of social and healthcare in Northern Netherlands, a transdisciplinary education for music, physiotherapy, and social work studies is needed. This project aims to equip multiprofessional student groups of Hanze with interprofessional skills through co-creative transdisciplinary learning aimed at innovating and improving musical collaborative approaches for working with vulnerable, often older people. The education builds upon experiential learning in Learning LABs, and collaborative project work in real-life care settings, supported by transdisciplinary community forming.The expected outcomes include a new concept of a transdisciplinary education for HBO-curricula, concrete building blocks for a transdisciplinary arts-in-health minor study, innovative student-led approaches for supporting the care and wellbeing of (older) vulnerable people, enhanced integration of musicians in interprofessional care teams, and new interprofessional structures for educational collaboration between music, social work and healthcare faculties.
The main objective is to write a scientific paper in a peer-reviewed Open Access journal on the results of our feasibility study on increasing physical activity in home dwelling adults with chronic stroke. We feel this is important as this article aims to close a gap in the existing literature on behavioral interventions in physical therapy practice. Though our main target audience are other researchers, we feel clinical practice and current education on patients with stroke will benefit as well.
Huntington’s disease (HD) and various spinocerebellar ataxias (SCA) are autosomal dominantly inherited neurodegenerative disorders caused by a CAG repeat expansion in the disease-related gene1. The impact of HD and SCA on families and individuals is enormous and far reaching, as patients typically display first symptoms during midlife. HD is characterized by unwanted choreatic movements, behavioral and psychiatric disturbances and dementia. SCAs are mainly characterized by ataxia but also other symptoms including cognitive deficits, similarly affecting quality of life and leading to disability. These problems worsen as the disease progresses and affected individuals are no longer able to work, drive, or care for themselves. It places an enormous burden on their family and caregivers, and patients will require intensive nursing home care when disease progresses, and lifespan is reduced. Although the clinical and pathological phenotypes are distinct for each CAG repeat expansion disorder, it is thought that similar molecular mechanisms underlie the effect of expanded CAG repeats in different genes. The predicted Age of Onset (AO) for both HD, SCA1 and SCA3 (and 5 other CAG-repeat diseases) is based on the polyQ expansion, but the CAG/polyQ determines the AO only for 50% (see figure below). A large variety on AO is observed, especially for the most common range between 40 and 50 repeats11,12. Large differences in onset, especially in the range 40-50 CAGs not only imply that current individual predictions for AO are imprecise (affecting important life decisions that patients need to make and also hampering assessment of potential onset-delaying intervention) but also do offer optimism that (patient-related) factors exist that can delay the onset of disease.To address both items, we need to generate a better model, based on patient-derived cells that generates parameters that not only mirror the CAG-repeat length dependency of these diseases, but that also better predicts inter-patient variations in disease susceptibility and effectiveness of interventions. Hereto, we will use a staggered project design as explained in 5.1, in which we first will determine which cellular and molecular determinants (referred to as landscapes) in isogenic iPSC models are associated with increased CAG repeat lengths using deep-learning algorithms (DLA) (WP1). Hereto, we will use a well characterized control cell line in which we modify the CAG repeat length in the endogenous ataxin-1, Ataxin-3 and Huntingtin gene from wildtype Q repeats to intermediate to adult onset and juvenile polyQ repeats. We will next expand the model with cells from the 3 (SCA1, SCA3, and HD) existing and new cohorts of early-onset, adult-onset and late-onset/intermediate repeat patients for which, besides accurate AO information, also clinical parameters (MRI scans, liquor markers etc) will be (made) available. This will be used for validation and to fine-tune the molecular landscapes (again using DLA) towards the best prediction of individual patient related clinical markers and AO (WP3). The same models and (most relevant) landscapes will also be used for evaluations of novel mutant protein lowering strategies as will emerge from WP4.This overall development process of landscape prediction is an iterative process that involves (a) data processing (WP5) (b) unsupervised data exploration and dimensionality reduction to find patterns in data and create “labels” for similarity and (c) development of data supervised Deep Learning (DL) models for landscape prediction based on the labels from previous step. Each iteration starts with data that is generated and deployed according to FAIR principles, and the developed deep learning system will be instrumental to connect these WPs. Insights in algorithm sensitivity from the predictive models will form the basis for discussion with field experts on the distinction and phenotypic consequences. While full development of accurate diagnostics might go beyond the timespan of the 5 year project, ideally our final landscapes can be used for new genetic counselling: when somebody is positive for the gene, can we use his/her cells, feed it into the generated cell-based model and better predict the AO and severity? While this will answer questions from clinicians and patient communities, it will also generate new ones, which is why we will study the ethical implications of such improved diagnostics in advance (WP6).
