Advanced technology is a primary solution for the shortage of care professionals and increasing demand for care, and thus acceptance of such technology is paramount. This study investigates factors that increase use of advanced technology during elderly care, focusing on current use of advanced technology, factors that influence its use, and care professionals’ experiences with the use. This study uses a mixed-method design. Logfiles were used (longitudinal design) to determine current use of advanced technology, questionnaires assessed which factors increase such use, and in-depth interviews were administered to retrieve care professionals’ experiences. Findings suggest that 73% of care professionals use advanced technology, such as camera monitoring, and consult clients’ records electronically. Six of nine hypotheses tested in this study were supported, with correlations strongest between performance expectancy and attitudes toward use, attitudes toward use and satisfaction, and effort expectancy and performance expectancy. Suggested improvements for advanced technology include expanding client information, adding report functionality, solving log-in problems, and increasing speed. Moreover, the quickest way to increase acceptance is by improving performance expectancy. Care professionals scored performance expectancy of advanced technology lowest, though it had the strongest effect on attitudes toward the technology.
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Aim: The degree to which people with intellectual and visual disabilities can use technology relies on the level of support they receive. However, there is a lack of knowledge about the relationship between the constructs effort expectancy, attitudes, and behavioural intentions of support people (i.e. relatives and healthcare professionals) regarding the use of such technologies for people with intellectual and visual disabilities. The aim of this study was to gain insight into how these constructs are connected and to explore their relationship with support person’s characteristics and the support need levels of people with intellectual and visual disabilities. Methods: In total, 186 support people from a Dutch healthcare organisation focusing on people with intellectual and visual disabilities participated in an online questionnaire. We used a regression analysis to explore how the constructs, the characteristics, and the level of support needs were related. Results: Both effort expectancy (β =.35; t(185) = 5.04; p
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In september 2012 is de iPad geïmplementeerd in het onderwijs van het Leeuwarder Lyceum. Sowijs onderzocht tijdens de implementatie welke verwachtingen leerlingen en leraren hadden van de iPad. Nu, een jaar later, hebben we opnieuw onderzoek gedaan onder leerlingen en leraren naar het iPad-gebruik. Aan de hand van diepte-interviews hebben we gekeken naar het huidige gebruik en tevredenheid. Zijn de leerlingen gewend aan het apparaat? Is de didactiek door leraren aangepast? Je leest het in dit whitepaper
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