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dc.contributor.authorPapadopoulos, Irena
dc.contributor.authorKoulouglioti, C.
dc.contributor.authorLazzarino, R.
dc.contributor.authorAli, S.
dc.contributor.authorWright, S.
dc.contributor.authorMartín-García, Á.
dc.contributor.authorOter-Quintana, C.
dc.contributor.authorKouta, C.
dc.contributor.authorRousou, E.
dc.contributor.authorPapp, K.
dc.contributor.authorKrepinska, R.
dc.contributor.authorTothova, V.
dc.contributor.authorMalliarou, M.
dc.contributor.authorApostolara, P.
dc.contributor.authorLesińska-Sawicka, M.
dc.contributor.authorNagórska, M.
dc.contributor.authorLiskova, M.
dc.contributor.authorNortvedt, Line
dc.contributor.authorAlpers, Lise-Merete
dc.contributor.authorBiglete-Pangilinan, S.
dc.contributor.authorOconer-Rubiano, M.F.
dc.contributor.authorChaisetsampun, W.
dc.contributor.authorGhassemi, A.-E.
dc.contributor.authorJafarjalal, E.
dc.contributor.authorZorba, A.
dc.contributor.authorKuckert-Wöstheinrich, A.
dc.contributor.authorMalla, R.
dc.contributor.authorToda, T.
dc.contributor.authorWichit, N.
dc.contributor.authorAkman, Ö.
dc.contributor.authorÖztürk, C.
dc.contributor.authorPuvimanasinghe, T.
dc.contributor.authorZiaian, T.
dc.contributor.authorEldar-Regev, O.
dc.contributor.authorNissim, S.
dc.identifier.citationContemporary Nurse: health care across the lifespan. 2023,en_US
dc.descriptionThis is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (, which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.en_US
dc.description.abstractBackground: As Artificial Intelligence and social robots areincreasingly usedin health and social care, it is imperative to explore the training needs of the workforce, factoring in their cultural background. Objectives: Explore views on perceived training needs among professionals around the world and how these related to country cultures. Design: Cross-sectional, descriptive, mixed-methods international online survey. Methods: Descriptive statistical analysis explored the ranking across countries and relationships with three Hofstede cultural dimensions. Thematic analysis was conducted on the open-ended text responses. Results: A sample of N = 1284 participants from eighteen countries. Knowing the capabilities of the robots was ranked as the top training need across all participating countries and this was also reflected in the thematic analysis. Participants’ culture, expressed through three Hofstede’s dimensions, revealed statistically significant ranking differences. Conclusions: Future research should further explore other factors such as the level of digital maturity of the workplace. Impact Statement: Training needs of health and social care staff to use robotics are fast growing and preparation should factor in patient safety and be based on the principles of person- and culture centred care.en_US
dc.publisherEContent Management Pty Ltden_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.subjectinternational studyen_US
dc.subjectcountry cultureen_US
dc.subjectsocial care professionalsen_US
dc.subjectsocially assistive robotsen_US
dc.subjecttraining needsen_US
dc.titleViews about perceived training needs of health care professionals in relation to socially assistive robots: an international online surveyen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.rights.holder© 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Groupen_US
dc.source.journalContemporary Nurse: health care across the lifespanen_US

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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal