BACKGROUND: Today's nursing school applicants are considered “digital natives.” This study investigated students' views of new health care technologies. METHOD: In a cross-sectional survey among first-year nursing students, 23 common nursing activities and five telehealth nursing activities were presented along with three statements: “I consider this a core task of nursing,” “I look forward to becoming trained in this task,” and “I think I will do very well in performing this task.” RESULTS: Internet-generation nursing students (n = 1,113) reported a significantly (p ⩽ .001) less positive view of telehealth activities than of common nursing activities. Median differences were 0.7 (effect size [ES], −0.54), 0.4 (ES, −0.48), and 0.3 (ES, −0.39), measured on a 7-point scale. CONCLUSION: Internet-generation nursing students do not naturally have a positive view of technology-based health care provision. The results emphasize that adequate technology and telehealth education is still needed for nursing students. [J Nurs Educ. 2017;56(12):717–724.]
Technology in general, and assistive technology in particular, is considered to be a promising opportunity to address the challenges of an aging population. Nevertheless, in health care, technology is not as widely used as could be expected. In this chapter, an overview is given of theories and models that help to understand this phenomenon. First, the design of (assistive) technologies will be addressed and the importance of human-centered design in the development of new assistive devices will be discussed. Also theories and models are addressed about technology acceptance in general. Specific attention will be given to technology acceptance in healthcare professionals, and the implementation of technology within healthcare organizations. The chapter will be based on the state of the art of scientific literature and will be illustrated with examples from our research in daily practice considering the different perspectives of involved stakeholders.
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Purpose: This is a position paper describing the elements of an international framework for assistive techhnology provision that could guide the development of policies, systems and service delivery procedures across the world. It describes general requirements, quality criteria and possible approaches that may help to enhance the accessibility of affordable and high quality assistive technology solutions. Materials and methods: The paper is based on the experience of the authors, an analysis of the existing literature and the inputs from many colleagues in the field of assistive technology provision. It includes the results of discussions of an earlier version of the paper during an international conference on the topic in August 2017. Results and conclusion: The paper ends with the recommendation to develop an international standard for assistive technology provision. Such a standard can have a major impact on the accessibility of AT for people with disabilities. The paper outlines some the key elements to be included in a standard.
Due to societal developments, like the introduction of the ‘civil society’, policy stimulating longer living at home and the separation of housing and care, the housing situation of older citizens is a relevant and pressing issue for housing-, governance- and care organizations. The current situation of living with care already benefits from technological advancement. The wide application of technology especially in care homes brings the emergence of a new source of information that becomes invaluable in order to understand how the smart urban environment affects the health of older people. The goal of this proposal is to develop an approach for designing smart neighborhoods, in order to assist and engage older adults living there. This approach will be applied to a neighborhood in Aalst-Waalre which will be developed into a living lab. The research will involve: (1) Insight into social-spatial factors underlying a smart neighborhood; (2) Identifying governance and organizational context; (3) Identifying needs and preferences of the (future) inhabitant; (4) Matching needs & preferences to potential socio-techno-spatial solutions. A mixed methods approach fusing quantitative and qualitative methods towards understanding the impacts of smart environment will be investigated. After 12 months, employing several concepts of urban computing, such as pattern recognition and predictive modelling , using the focus groups from the different organizations as well as primary end-users, and exploring how physiological data can be embedded in data-driven strategies for the enhancement of active ageing in this neighborhood will result in design solutions and strategies for a more care-friendly neighborhood.
Anne4Care is een virtuele assistent ontwikkeld door Virtual Assistant BV. Zij biedt ondersteuning aan mensen met cognitieve problemen bij het behouden van dagstructuur, het onderhouden van sociale contacten en uitvoeren van betekenisvolle dagactiviteiten. De instructiematerialen zijn in de Nederlandse taal beschikbaar en gericht op gebruikers met een Nederlandse achtergrond. Anne4Care wordt op dit moment geïmplementeerd bij een dagbesteding van IMEAN Care in Almelo voor migrantenouderen. IT-professionals van Anne4Care en de zorgprofessionals van de dagbesteding van IMEAN hebben behoefte aan instructiematerialen en leermethoden die aansluiten op de behoeften van de groep migrantenouderen. Met als doel de introductie, acceptatie en het gebruik van Anne4Care zo optimaal mogelijk te laten verlopen. Dit zal resulteren in een betere ondersteuning van migrantenouderen en daarmee sociale inclusie en zinvolle dagbesteding bevorderen. Het consortium bestaat uit mbk-partners IMEAN Care (praktijk) en Virtual Assistant BV (technologieontwikkelaar) en de lectoraten Technology, Health & Care en Verpleegkunde van hogeschool Saxion. Samen met eindgebruikers (migrantenouderenouderen, hun mantelzorgers en zorgprofessionals) worden instructiematerialen en leermethoden ontwikkeld voor het gebruik van Anne4Care. Op basis van (1) observationeel en (2) literatuuronderzoek wordt een programma van eisen opgesteld. Vervolgens worden in co-creatie met eindgebruikers de instructiematerialen en leermethoden ontwikkeld en geëvalueerd. Tot slot zal virtuele assistent Anne4Care zelf een rol krijgen als instructrice waarbij een onboarding faciliteit wordt gecreëerd. De resultaten van dit project zijn: - Programma van eisen waaraan de instructiematerialen en leermethoden aan moeten voldoen - Instructiematerialen en leermethoden passend bij de wensen en behoeften van migrantenouderen, hun mantelzorgers en zorgprofessionals - Onboarding faciliteit op de tablet: Anne4Care als ‘instructrice’ in eigen (Turkse) taal - Inzicht in het gebruik en het gemak van Anne4Care en de instructiematerialen - Inzicht in de invloed van de instructiematerialen en leermethoden op het gebruik van Anne4Care.
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.
