Synnott Jonathan, Harkin Mairead, Horgan Brenda, McKeown Andre, Hamilton David, McAllister Declan, Trainor Claire, Nugent Chris
School of Computing, University of Ulster, Newtownabbey, United Kingdom.
Northern Ireland Social Care Council, Belfast, United Kingdom.
JMIR Med Educ. 2020 Sep 23;6(2):e15936. doi: 10.2196/15936.
Continual development of the social care workforce is a key element in improving outcomes for the users of social care services. As the delivery of social care services continues to benefit from innovation in assistive technologies, it is important that the digital capabilities of the social care workforce are aligned. Policy makers have highlighted the importance of using technology to support workforce learning and development, and the need to ensure that the workforce has the necessary digital skills to fully benefit from such provisions.
This study aims to identify the digital capability of the social care workforce in Northern Ireland and to explore the workforce's appetite for and barriers to using technology for learning and development. This study is designed to answer the following research questions: (1) What is the digital capability of the social care workforce in Northern Ireland? (2) What is the workforce's appetite to participate in digital learning and development? and (3) If there are barriers to the uptake of technology for learning and development, what are these barriers?
A survey was created and distributed to the Northern Ireland social care workforce. This survey collected data on 127 metrics that described demographics, basic digital skills, technology confidence and access, factors that influence learning and development, experience with digital learning solutions, and perceived value and challenges of using technology for learning.
The survey was opened from December 13, 2018, to January 18, 2019. A total of 775 survey respondents completed the survey. The results indicated a workforce with a high level of self-reported basic digital skills and confidence. Face-to-face delivery of learning is still the most common method of accessing learning, which was used by 83.7% (649/775) of the respondents; however, this is closely followed by digital learning, which was used by 79.0% (612/775) of the respondents. There was a negative correlation between age and digital skills (r=-0.262; P<.001), and a positive correlation between technology confidence and digital skills (r=0.482; P<.001). There was also a negative correlation between age and the perceived value of technology (r=-0.088; P=.02). The results indicated a predominantly motivated workforce in which a sizable portion is already engaged in informal digital learning. The results indicated that lower self-reported basic digital skills and confidence were associated with less interest in engaging with e-learning tools and that a portion of the workforce would benefit from additional basic digital skills training.
These promising results provide a positive outlook for the potential of digital learning and development within the social care workforce. The findings provide clear areas of focus for the future use of technology for learning and development of the social care workforce and considerations to maximize engagement with such approaches.
社会护理劳动力的持续发展是改善社会护理服务使用者结局的关键要素。随着社会护理服务的提供不断受益于辅助技术的创新,使社会护理劳动力的数字能力与之相匹配非常重要。政策制定者强调了利用技术支持劳动力学习与发展的重要性,以及确保劳动力具备必要的数字技能以充分受益于此类措施的必要性。
本研究旨在确定北爱尔兰社会护理劳动力的数字能力,并探讨劳动力对利用技术进行学习与发展的兴趣及障碍。本研究旨在回答以下研究问题:(1)北爱尔兰社会护理劳动力的数字能力如何?(2)劳动力参与数字学习与发展的兴趣如何?(3)如果存在阻碍采用技术进行学习与发展的障碍,这些障碍是什么?
设计了一项调查问卷并分发给北爱尔兰社会护理劳动力。该调查收集了关于127项指标的数据,这些指标描述了人口统计学特征、基本数字技能、技术信心与获取情况、影响学习与发展的因素、数字学习解决方案的使用经验,以及利用技术进行学习的感知价值和挑战。
调查于2018年12月13日至2019年1月18日开放。共有775名调查受访者完成了调查。结果显示,劳动力自我报告的基本数字技能和信心水平较高。面对面授课仍是获取学习的最常见方式,83.7%(649/775)的受访者使用了这种方式;然而,紧随其后的是数字学习,79.0%(612/775)的受访者使用了数字学习。年龄与数字技能之间存在负相关(r = -0.262;P <.001),技术信心与数字技能之间存在正相关(r = 0.482;P <.001)。年龄与技术感知价值之间也存在负相关(r = -0.088;P =.02)。结果表明,大部分劳动力积极性较高,其中相当一部分人已经参与了非正式数字学习。结果表明,自我报告的基本数字技能和信心较低与对电子学习工具的参与兴趣较低相关,并且一部分劳动力将受益于额外的基本数字技能培训。
这些令人鼓舞的结果为社会护理劳动力数字学习与发展的潜力提供了积极的前景。研究结果为未来利用技术促进社会护理劳动力的学习与发展明确了重点领域,并为最大限度地参与此类方法提供了考虑因素。