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Are nursing home employees ready for the technical evolution? German-wide survey on the status quo of affinity for technology and technology interaction

Barisch-Fritz, Bettina ORCID iD icon 1; Krafft, Jelena 1; Rayling, Sabine 1; Diener, Jonathan 1; Möller, Tobias 1; Wunsch, Kathrin 1; Riedel, Norman ORCID iD icon 2; Maia, Maria ORCID iD icon 3; Weinberger, Nora ORCID iD icon 3; Lefint, Jérémy 4; Asfour, Tamim 5; Krell-Rösch, Janina ORCID iD icon 1; Woll, Alexander ORCID iD icon 1
1 Institut für Sport und Sportwissenschaft (IfSS), Karlsruher Institut für Technologie (KIT)
2 Institut für Arbeitswissenschaft und Betriebsorganisation (IFAB), Karlsruher Institut für Technologie (KIT)
3 Institut für Technikfolgenabschätzung und Systemanalyse (ITAS), Karlsruher Institut für Technologie (KIT)
4 Karlsruher Institut für Technologie (KIT)
5 Institut für Anthropomatik und Robotik (IAR), Karlsruher Institut für Technologie (KIT)

Abstract:

Background
Technological devices can support nursing home employees; however, their perspective is not sufficiently studied. Our aims were thus to (a) examine affinity for technology and technology interaction and related sociodemographic confounders, as well as (b) detect possible requirements and boundary conditions relevant for the development and implementation of assistive technologies among nursing home employees.
Methods
We conducted an online survey between May and July of 2022 among 200 nursing home employees in Germany. The survey included two questionnaires, that is, Affinity for Technology Interaction (ATI) and Affinity for Technology—Electronic Devices (TA-EG; subscales TA-EG-Enthusiasm, TA-EG-Competence, TA-EG-Positive Consequences, and TA-EG-Negative Consequences), as well as sociodemographic variables, that is, age, gender, professional groups, education/graduation level. We carried out factorial variance and multiple regression analyses.
Results
There were differences between age groups in ATI (lower score with increasing age) and between gender, age, and professional group in TA-EG (lower score for females, participants with higher ages, and nursing home managers). ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000166050
Veröffentlicht am 27.12.2023
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Anthropomatik und Robotik (IAR)
Institut für Arbeitswissenschaft und Betriebsorganisation (IFAB)
Institut für Sport und Sportwissenschaft (IfSS)
Institut für Technikfolgenabschätzung und Systemanalyse (ITAS)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 01.2023
Sprache Englisch
Identifikator ISSN: 2055-2076
KITopen-ID: 1000166050
HGF-Programm 46.24.01 (POF IV, LK 01) Applied TA: Digitalizat. & Automat. Socio-Technical Change
Erschienen in DIGITAL HEALTH
Verlag SAGE Publications
Band 9
Schlagwörter Technology acceptance; assistive technology; care professional; digital transformation; older people
Nachgewiesen in Web of Science
Dimensions
Scopus
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