Mobility Mentoring® combineert het onderwerp armoede met de laatste inzichten vanuit de hersenwetenschap over de effecten van schaarste en armoede en de ontwikkelbaarheid van hersenfuncties. Deze nieuwe aanpak helpt mensen bij de aanpak van hun financiële en sociale problemen. Het lectoraat Schulden & Incasso van de Hogeschool Utrecht, Platform31 en Impuls ambiëren een effectievere aanpak van financiële problematiek van huishoudens en zochten naar organisaties die de inzichten uit de Schaarste-theorie op een vruchtbare manier vertalen naar hun dagelijkse praktijk.
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https://journal.gerontechnology.org/currentIssueContent.aspx?aid=2248 "Abstract Purpose Existing solutions facilitating mobility among older adults mainly focus on supporting physical disabilities. However, solutions are more likely to succeed when current activities and capabilities serve as a starting point. Participatory design is a suitable approach to detect these. We investigated (i) how participatory design techniques can be applied to obtain insight into the daily activities and capabilities of older adults, and (ii) what the design implications are of taking these activities and capabilities as a basis for the development of a mobility-enhancing application. Method Research context was a three-year European project comprising health care managers, researchers, and designers from Belgium, the Netherlands, Italy, Spain, and Germany. Older adults were involved in each of the four-step iterative design process (participatory design sessions, scenarios, user requirements, and user evaluation). Results & Discussion (i) Reflection on the design process showed that particular issues should be considered in selecting participatory design tools (e.g., diaries and photo assignments are more suited than interviews) and organizing joint sessions (e.g., reserve more time for informal activities, address privacy concerns, and provide opportunity to ventilate doubts towards technology). The participatory design methods appeared suited to provide input for the application’s functionalities based on activities and capabilities. (ii) A mobility-enhancing mobile application for older adults should apply (a) Demographics: validated user profiles as a basis, but enable personalization; (b) Cognitive and physical abilities: Facilitate activities close to the home of the older adults; (c) Safety perception: Support older adults cognitively during their activities outdoor, but also prior to and afterwards and foster social contact. Future work The results of the current study have been used as input for prototype development, which has been tested in a pilot study in Spain and The Netherlands."
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Mobility hubs facilitate multimodal transport and have the potential to improve the accessibility and usability of new mobility services. However, in the context of increasing digitalisation, using mobility hubs requires digital literacy or even owning a smartphone. This constraint may result in the exclusion of current and potential users. Digital kiosks might prove to be a solution, as they can facilitate the use of the services found at mobility hubs. Nevertheless, knowledge of how digital kiosks may improve the experience of disadvantaged groups remains limited in the literature. As part of the SmartHubs project, a field test with a digital kiosk was conducted with 105 participants in Brussels (Belgium) and Rotterdam (The Netherlands) to investigate the intention to use it and its usability in the context of mobility hubs. This study adopted a mixed methods approach, combining participant observation and questionnaire surveys. Firstly, participants were asked to accomplish seven tasks with the digital kiosk while being observed by the researchers. Finally, assisted questionnaire surveys were conducted with the same participants, including close-ended, open-ended and socio-demographic questions. The results offer insights into the experience of the users of a digital kiosk in a mobility hub and the differences across specific social groups. These findings may be relevant for decision-makers and practitioners working in urban mobility on subjects such as mobility hubs and shared mobility, and for user interface developers concerned with the inclusivity of digital kiosks.
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The main objective of this report is to analyse and inform about international labour mobility, particularly within Europe, from the perspective of the Dutch Health and Social Care Sector. The report starts by describing the introduction of a new care system in The Netherlands. The government does not participate directly in the actual provision of care. This is a task principally for private care suppliers. Furthermore, the legal position of the Health and Social Care professions, regulated through the Individual Health Care Professions Act, and questions like the international recognition of degrees and the evaluation of foreign diplomas are discussed. This is followed by a clarification of the Dutch education system, particularly, relating to the study of medicine, nursing education and social work education. Subsequently, some core data on the ageing Dutch population are presented. The grey pressure increases and this will have an impact on health spending, health support and the future labour market. Then what follows is a description of the development of employment in the Dutch Health and Social Care Sector, per branch as well as the professions that are engaged in it. The general picture, at this moment, is that the Health and Social Care labour market is reasonably in balance. This trend will continue in the near future; shortages are expected only in the long term. All research done on the subject indicates that international mobility of medical and social professionals is still low in the Netherlands. The question remains whether a more active recruitment policy would be a solution for the expected long term shortages. The report concludes with a look at recruitment policy and some of its developments at the global, national and local level.
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Purpose: To evaluate the effects of a combination of wheelchair mobility skills (WMS) training and exercise training on physical activity (PA), WMS, confidence in wheelchair mobility, and physical fitness. Methods: Youth using a manual wheelchair (n = 60) participated in this practice-based intervention, with a waiting list period (16 weeks), exercise training (8 weeks), WMS training (8 weeks), and follow-up (16 weeks). Repeated measures included: PA (Activ8), WMS (Utrecht Pediatric Wheelchair Mobility Skills Test), confidence in wheelchair mobility (Wheelchair Mobility Confidence Scale), and physical fitness (cardiorespiratory fitness, (an)aerobic performance) and were analysed per outcome parameter using a multilevel model analyses. Differences between the waiting list and training period were determined with an unpaired sample t-test. Results: Multilevel model analysis showed significant positive effects for PA (p = 0.01), WMS (p < 0.001), confidence in wheelchair mobility (p < 0.001), aerobic (p < 0.001), and anaerobic performance (p < 0.001). Unpaired sample t-tests underscored these effects for PA (p < 0.01) and WMS (p < 0.001). There were no effects on cardiorespiratory fitness. The order of training (exercise before WMS) had a significant effect on confidence in wheelchair mobility. Conclusions: A combination of exercise and WMS training appears to have significant positive long-term effects on PA, WMS, confidence in wheelchair mobility, and (an)aerobic performance in youth using a manual wheelchair.Implications for rehabilitationExercise training and wheelchair mobility skills (WMS) training can lead to a sustained improvement in physical activity (PA) in youth using a manual wheelchair.These combined trainings can also lead to a sustained increase in WMS, confidence in wheelchair mobility, and (an)aerobic performance.More attention is needed in clinical practice and in research towards improving PA in youth using a manual wheelchair.
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Athlete impairment level is an important factor in wheelchair mobility performance (WMP) in sports. Classification systems, aimed to compensate impairment level effects on performance, vary between sports. Improved understanding of resemblances and differences in WMP between sports could aid in optimizing the classification methodology. Furthermore, increased performance insight could be applied in training and wheelchair optimization. The wearable sensor-based wheelchair mobility performance monitor (WMPM) was used to measure WMP of wheelchair basketball, rugby and tennis athletes of (inter-)national level during match-play. As hypothesized, wheelchair basketball athletes show the highest average WMP levels and wheelchair rugby the lowest, whereas wheelchair tennis athletes range in between for most outcomes. Based on WMP profiles, wheelchair basketball requires the highest performance intensity, whereas in wheelchair tennis, maneuverability is the key performance factor. In wheelchair rugby, WMP levels show the highest variation comparable to the high variation in athletes’ impairment levels. These insights could be used to direct classification and training guidelines, with more emphasis on intensity for wheelchair basketball, focus on maneuverability for wheelchair tennis and impairment-level based training programs for wheelchair rugby. Wearable technology use seems a prerequisite for further development of wheelchair sports, on the sports level (classification) and on individual level (training and wheelchair configuration).
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To evaluate the construct validity and the inter-rater reliability of the Dutch Activity Measure for Post- Acute Care “6-clicks” Basic Mobility short form measuring the patient’s mobility in Dutch hospital care. First, the “6-clicks” was translated by using a forward-backward translation protocol. Next, 64 patients were assessed by the physiotherapist to determine the validity while being admitted to the Internal Medicine wards of a university medical center. Six hypotheses were tested regarding the construct “mobility” which showed that: Better “6-clicks” scores were related to less restrictive pre-admission living situations (p¼0.011), less restrictive discharge locations (p¼0.001), more independence in activities of daily living (p¼0.001) and less physiotherapy visits (p<0.001). A correlation was found between the “6-clicks” and length of stay (r¼0.408, p¼0.001), but not between the “6-clicks” and age (r¼0.180, p¼0.528). To determine the inter-rater reliability, an additional 50 patients were assessed by pairs of physiotherapists who independently scored the patients. Intraclass Correlation Coefficients of 0.920 (95%CI: 0.828–0.964) were found. The Kappa Coefficients for the individual items ranged from 0.649 (walking stairs) to 0.841 (sit-to-stand). The Dutch “6-clicks” shows a good construct validity and moderate-toexcellent inter-rater reliability when used to assess the mobility of hospitalized patients.
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Active transport to school is associated with higher levels of physical activity in children. Promotion of active transport has therefore gained attention as a potential target to increase children’s physical activity levels. Recent studies have recognized that the distance between home and school is an important predictor for active travel among children. These studies did not yet use the promising global positioning system (GPS) methods to objectively assess active transport. This study aims to explore active transport to school in relation to the distance between home and school among a sample of Dutch elementary school children, using GPS. Seventy-nine children, aged 6-11 years, were recruited in six schools that were located in five cities in the Netherlands. All children were asked to wear a GPS receiver for one week. All measurements were conducted between December 2008 and April 2009. Based on GPS recordings, the distance of the trips between home and school were calculated. In addition, the mode of transport (i.e., walking, cycling, motorized transport) was determined using the average and maximum speed of the GPS tracks. Then, proportion of walking and cycling trips to school was determined in relation to the distance between home and school. Out of all school trips that were recorded (n = 812), 79.2% were classified as active transport. On average, active commuting trips were of a distance of 422 meters with an average speed of 5.2 km/hour. The proportion of walking trips declined significantly at increased school trip distance, whereas the proportion of cycling trips (β = 1.23, p < 0.01) and motorized transport (β = 3.61, p < 0.01) increased. Almost all GPS tracks less than 300 meters were actively commuted, while of the tracks above 900 meters, more than half was passively commuted. In the current research setting, active transport between home and school was the most frequently used mode of travel. Increasing distance seems to be associated with higher levels of passive transport. These results are relevant for those involved in decisions on where to site schools and residences, as it may affect healthy behavior among children. https://doi.org/10.1186/1471-2458-14-227 LinkedIn: https://www.linkedin.com/in/sanned/
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Active learning has become an increasingly popular method for screening large amounts of data in systematic reviews and meta-analyses. The active learning process continually improves its predictions on the remaining unlabeled records, with the goal of identifying all relevant records as early as possible. However, determining the optimal point at which to stop the active learning process is a challenge. The cost of additional labeling of records by the reviewer must be balanced against the cost of erroneous exclusions. This paper introduces the SAFE procedure, a practical and conservative set of stopping heuristics that offers a clear guideline for determining when to end the active learning process in screening software like ASReview. The eclectic mix of stopping heuristics helps to minimize the risk of missing relevant papers in the screening process. The proposed stopping heuristic balances the costs of continued screening with the risk of missing relevant records, providing a practical solution for reviewers to make informed decisions on when to stop screening. Although active learning can significantly enhance the quality and efficiency of screening, this method may be more applicable to certain types of datasets and problems. Ultimately, the decision to stop the active learning process depends on careful consideration of the trade-off between the costs of additional record labeling against the potential errors of the current model for the specific dataset and context.
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Digital transport eco-systems worldwide provide great advantages to many but also carry a risk of excluding population groups that struggle with accessing or using digital products and services. The DIGNITY project (DIGital traNsport In and for socieTY) delves into the development of such eco-systems to deepen the understanding of the full range of factors that lead to disparities in the uptake of digital transport solutions in Europe. A starting point for developing digitally inclusive transport systems is to obtain state-of-the-art knowledge and understanding of where local transport eco-systems are in relation to the digital gap and digital mobility gap in terms of their policies, transport products and services, and population digital literacy. This chapter presents the methodology developed in the DIGNITY project to frame this digital gap, incorporating a self-assessment framework that may be used by public authorities to identify potential gaps in the development of local digital transport eco-systems. This framework is informed by results from customer journey mapping exercises that provide insights into the daily activities and trips of users, and larger scale surveys on digital technology access, use, attitudes and competence in the area. In the DIGNITY approach as a whole, the results from the framing phase are then used to inform subsequent work on bridging the digital gap through the co-creation of more inclusive policies, products and services. The chapter provides concrete results from the framing exercise in four DIGNITY pilot areas: Barcelona, Tilburg, Flanders and Ancona. The results clearly show that a digital transport gap exists in these areas, and that this is manifested in different ways in different local situations, requiring tailored approaches to address the gap.
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