关于医疗保健专业人员对社交辅助机器人的感知培训需求的观点：一项国际在线调查。
Views about perceived training needs of health care professionals in relation to socially assistive robots: an international online survey.
作者信息
Papadopoulos Irena, Koulouglioti C, Lazzarino R, Ali S, Wright S, Martín-García Á, Oter-Quintana C, Kouta C, Rousou E, Papp K, Krepinska R, Tothova V, Malliarou M, Apostolara P, Lesińska-Sawicka M, Nagórska M, Liskova M, Nortvedt L, Alpers L-M, Biglete-Pangilinan S, Oconer-Rubiano M F, Chaisetsampun W, Wichit N, Ghassemi A-E, Jafarjalal E, Zorba A, Kuckert-Wöstheinrich A, Malla R, Toda T, Akman Ö, Öztürk C, Puvimanasinghe T, Ziaian T, Eldar-Regev O, Nissim S
机构信息
Research Centre for Transcultural Studies in Health, Department of Mental Health and Social Work, School of Health and Education, Middlesex University, London, UK.
Research Centre for Transcultural Studies in Health, Middlesex University & University Hospitals Sussex NHS Foundation Trust, Worthing, West Sussex, UK.
出版信息
Contemp Nurse. 2023 Aug-Oct;59(4-5):344-361. doi: 10.1080/10376178.2023.2238095. Epub 2023 Aug 4.
BACKGROUND
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 = 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.
背景
随着人工智能和社交机器人在健康与社会护理领域的应用日益广泛，考虑到员工的文化背景，探索其培训需求势在必行。
目的
探究全球专业人士对感知到的培训需求的看法，以及这些需求与国家文化之间的关系。
设计
横断面、描述性、混合方法的国际在线调查。
方法
描述性统计分析探讨了各国的排名情况以及与霍夫斯泰德文化的三个维度之间的关系。对开放式文本回复进行了主题分析。
结果
来自18个国家的1284名参与者组成了样本。了解机器人的能力在所有参与国家中被列为首要培训需求，这也在主题分析中得到了体现。通过霍夫斯泰德的三个维度所表达的参与者文化，显示出具有统计学意义的排名差异。
结论
未来的研究应进一步探索其他因素，如工作场所的数字成熟度水平。
影响声明
健康与社会护理人员使用机器人技术的培训需求正在迅速增长，培训准备应考虑患者安全，并以以人为本和以文化为中心的护理原则为基础。
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