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.]
In order to accept and implement technology in a successful manner, not only determinants (acceptance barriers or facilitators) related to individual persons, for instance, health care providers as well as health care recipients, are important. Also interpersonal relationships on the work floor as well as the readiness and support of the organization itself are involved in the process of uptake of innovations. The Normalization Process Theory explains how this can be understood. The Technology Adoption Readiness Scale (TARS), developed based on this theory, offers a tool to diagnose the opportunities and challenges in health care organizations with respect to the implementation of certain technology- or eHealth applications. In order to guide the process of large scale implementation of technological innovations, also a pre implementation diagnosis is useful. This diagnosis, when provided by a “neutral party” has proved to be helpful for monitoring, guiding and thus supporting the implementation process of technological innovations in health care settings.
In deze literatuurstudie werden vier databanken doorzocht met behulp van trefwoorden zoals chronic disease, e-health, factors en suggested interventions. Kwalitatieve, kwantitatieve en mixed methods-studies werden meegenomen. Uit de data van de 22 artikelen die werden geïncludeerd in de studie, blijken leeftijd, geslacht, inkomen, opleidingsniveau, etnische achtergrond en woonplaats (stad of platteland) in meer of mindere mate van invloed te zijn op het gebruik van e-health. Het artikel is een Nederlandstalige samenvatting van het artikel: Reiners, Sturm, Bouw & Wouters (2019) uit Int J Environ Res Public Health 2019;16(4)
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.
