University of Salford, Salford, UK.
NHS England, Leeds, UK.
J Adv Nurs. 2023 Oct;79(10):3737-3747. doi: 10.1111/jan.15810. Epub 2023 Aug 2.
With healthcare undergoing rapid digitalization, the effective integration of new technologies is crucial for nursing professionals, who form the largest group in the healthcare workforce. However, barriers within the nursing profession may impede digitalization efforts, leading to under utilization of available technologies and missed opportunities for enhancing healthcare quality and population health.
This article aims to investigate the adoption and use of digital technologies by nurses, considering how key demographics, such as gender, age, and voluntariness of technology use, interact to influence their acceptance and utilization of these technologies.
Employing the Unified Theory of Acceptance and Use of Technology (UTAUT) as a framework, we conducted a discursive exploration, supplemented by a literature review from diverse academic sources. Keywords related to UTAUT, digitalization, nursing practice and technology adoption were searched on PubMed, CINAHL and Google Scholar. Additionally, UK government and professional regulator reports were examined to understand current recommendations concerning digital technologies in nursing practice and the profession's demography. Searches focused on moderating factor domains, and the last search was conducted on 26 April 2023.
The study revealed that the successful implementation of digital technologies in nursing practice requires a nuanced understanding of the nursing workforce's characteristics and preferences. Gender, age and voluntariness of technology use were found to intersect and influence nurses' acceptance and utilization of digital tools.
By applying UTAUT in the context of nursing, this study highlights the importance of tailored implementation strategies for digital technologies. A technologically deterministic perspective is insufficient; instead, consideration of social factors specific to nursing is essential for successful adoption.
To maximize the benefits of digitalization in healthcare, it is imperative to address the barriers faced by nursing professionals. A comprehensive understanding of how key demographics impact technology adoption will inform targeted strategies, enhancing the engagement of nurses with digital tools and fostering innovation in healthcare practices. Further research and primary data are needed, but this study lays the foundation for future advancements in digital healthcare integration for nursing professionals.
The issues highlighted in this article are relevant to nurse leaders and those responsible for implementing technologies within nursing contexts. They are also relevant to technology developers who may benefit from considering the evidence associated with the moderating demographic factors highlighted in this article. Without a holistic approach to the implementation of technology, challenges associated with the use of digital technology by nurses are likely to persist. By considering the moderating demographic factors highlighted within the UTAUT (age, gender, voluntariness of use and experience) nurse leaders and technology developers may have greater success obtaining greater clinical outcomes from digital technology. This work was completed in 2022.
Due to the focus of this article being one on professional challenges within the nursing profession, no involvement from patients or the public was sought.
随着医疗保健领域的快速数字化,新科技的有效整合对护理专业人员至关重要,他们构成了医疗保健劳动力中最大的群体。然而,护理行业内部的障碍可能会阻碍数字化进程,导致现有技术未得到充分利用,错失提高医疗质量和改善人口健康的机会。
本文旨在研究护士对数字技术的采用和使用情况,探讨关键人口统计学因素(如性别、年龄和技术使用意愿)如何相互作用,影响他们对这些技术的接受和使用。
我们以统一技术接受和使用理论(UTAUT)为框架,进行了深入探讨,并结合来自不同学术来源的文献综述。在 PubMed、CINAHL 和 Google Scholar 上,使用与 UTAUT、数字化、护理实践和技术采用相关的关键词进行检索。此外,还查阅了英国政府和专业监管机构的报告,以了解当前关于护理实践中数字技术和该职业人口统计学的建议。检索重点关注调节因素领域,最后一次检索于 2023 年 4 月 26 日进行。
研究表明,要在护理实践中成功实施数字技术,需要深入了解护理人员的特点和偏好。研究发现,性别、年龄和技术使用意愿相互交织,影响着护士对数字工具的接受和使用。
通过在护理背景下应用 UTAUT,本研究强调了针对数字技术实施量身定制策略的重要性。仅从技术决定论的角度来看待问题是不够的;相反,考虑到护理特定的社会因素至关重要。
为了最大程度地发挥数字化在医疗保健中的优势,必须解决护理专业人员面临的障碍。全面了解关键人口统计学因素如何影响技术采用,将为制定有针对性的策略提供信息,增强护士对数字工具的参与度,并推动医疗实践中的创新。虽然需要进一步研究和原始数据,但本研究为未来数字医疗保健整合的研究奠定了基础。
本文强调的问题与护理领导者和负责在护理环境中实施技术的人员以及可能受益于考虑本文强调的调节人口统计学因素相关证据的技术开发人员相关。如果没有全面的技术实施方法,与护士使用数字技术相关的挑战很可能持续存在。通过考虑 UTAUT 中强调的调节人口统计学因素(年龄、性别、使用意愿和经验),护理领导者和技术开发人员可能会从数字技术中获得更大的临床效果。这项工作于 2022 年完成。
由于本文的重点是护理专业内部的职业挑战,因此没有寻求患者或公众的参与。