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Views about perceived training needs of health care professionals in relation to socially assistive robots: an international online survey

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12110%2F23%3A43907050" target="_blank" >RIV/60076658:12110/23:43907050 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.tandfonline.com/doi/epdf/10.1080/10376178.2023.2238095?src=getftr" target="_blank" >https://www.tandfonline.com/doi/epdf/10.1080/10376178.2023.2238095?src=getftr</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1080/10376178.2023.2238095" target="_blank" >10.1080/10376178.2023.2238095</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Views about perceived training needs of health care professionals in relation to socially assistive robots: an international online survey

  • Original language description

    As Artificial Intelligence and social robots are increasingly used in 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&apos; culture, expressed through three Hofstede&apos;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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30307 - Nursing

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Contemporary Nurse

  • ISSN

    1037-6178

  • e-ISSN

    1839-3535

  • Volume of the periodical

    59

  • Issue of the periodical within the volume

    4-5

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    18

  • Pages from-to

    344-361

  • UT code for WoS article

    001040817000001

  • EID of the result in the Scopus database

    2-s2.0-85166757246