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Advanced Technology Use by Care Professionals

Author

Listed:
  • Tom Brandsma

    (Research Centre for Employability, Zuyd University of Applied Sciences, 6131 MT Sittard, The Netherlands)

  • Jol Stoffers

    (Research Centre for Employability, Zuyd University of Applied Sciences, 6131 MT Sittard, The Netherlands
    Faculty of Management, Open University of the Netherlands, 6419 AT Heerlen, The Netherlands
    Research Centre for Education and the Labour Market (ROA), Maastricht University, 6211 LM Maastricht, The Netherlands)

  • Ilse Schrijver

    (Research Centre for Employability, Zuyd University of Applied Sciences, 6131 MT Sittard, The Netherlands)

Abstract

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.

Suggested Citation

  • Tom Brandsma & Jol Stoffers & Ilse Schrijver, 2020. "Advanced Technology Use by Care Professionals," IJERPH, MDPI, vol. 17(3), pages 1-16, January.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:3:p:742-:d:312423
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    References listed on IDEAS

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    2. Yu-Sheng Kao & Kazumitsu Nawata & Chi-Yo Huang, 2019. "An Exploration and Confirmation of the Factors Influencing Adoption of IoT-Based Wearable Fitness Trackers," IJERPH, MDPI, vol. 16(18), pages 1-31, September.
    3. Porter, Constance Elise & Donthu, Naveen, 2006. "Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics," Journal of Business Research, Elsevier, vol. 59(9), pages 999-1007, September.
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    2. Xiu-Fu Tian & Run-Ze Wu, 2022. "Determinants of the Mobile Health Continuance Intention of Elders with Chronic Diseases: An Integrated Framework of ECM-ISC and UTAUT," IJERPH, MDPI, vol. 19(16), pages 1-19, August.

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