Multidisciplinary students’ self-evaluated competence at the beginning of studies in digital health and social care service specialisation education

Outi Ahonen, Päivi Sanerma, J. Heinonen, A. Rauha, M. Männistö
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Abstract

Digital transformation in health and social care is a fast-growing sector globally. Multidisciplinary professionals are needed in the development of digital health and social care services. This study aimed to evaluate the self-assessments of students participating in specialisation education on the importance of multidisciplinary digital competences, focusing on competence in the digitalisation of social and health care and how they assess their own competences at the beginning of their education. The purpose was to describe the multidisciplinary competences in this area at EQF level 6 by using a self-assessment tool. Data were collected from 274 specialised education students in the years 2021 and 2022 from 14 universities of applied sciences. The background information included participants’ years of work experience, professional education area and study credits. There were nine competence areas. The survey contains 61 Likert scale questions. Cronbach’s alpha was 0.962 (N=126). The paired t-test was used for statistical analyses to determine the relationship between the importance of a competence and students’ current levels of competence. For each pair, the arithmetic mean for the how important variable was higher than the current competence variable. The average means of all competences’ differences was 1.04 between how important the competence was to the students and their current understanding of their own level of the particular competence. Service design competences have both the highest average level of student competence and variance in competence. The second-largest variance was in online guiding competences, which is one of the clearest competences for students to understand the content. These results may be explained by expert bias, where a person with a lot of knowledge rates their own level of knowledge lower, while a person with less knowledge does the opposite. The gap between current competence level and the assessed importance of the particular competence shows that there is a need for specialisation education in multidisciplinary competences for developing digital health and social care services. The overall result is a self-assessment tool that can be used to assess the level of competences in different competence areas in specialisation education. It is important for health and social care organisations to manage the competences and continuing education of their professionals.
多学科学生在数字健康与社会护理服务专业教育学习初期的自我评价能力
卫生和社会保健领域的数字化转型是全球一个快速增长的领域。发展数字卫生和社会保健服务需要多学科专业人员。本研究旨在评估参加专业教育的学生对多学科数字能力重要性的自我评估,重点关注社会和医疗保健数字化方面的能力,以及他们在教育之初如何评估自己的能力。目的是通过使用自我评估工具在EQF第6级描述该领域的多学科能力。数据收集于2021年和2022年,来自14所应用科学大学的274名专业教育学生。背景信息包括参与者的工作年限、专业教育领域和学习学分。有九个能力领域。该调查包含61个李克特量表问题。Cronbach’s alpha为0.962 (N=126)。配对t检验用于统计分析,以确定能力的重要性和学生目前的能力水平之间的关系。对于每一对,重要性变量的算术平均值高于当前能力变量。各能力差值的平均值为1.04,即该能力对学生的重要性与学生目前对该能力的理解水平之间的差值。服务设计能力既有学生能力的最高平均水平,也有学生能力的差异。第二大差异是在线指导能力,这是学生理解内容最清晰的能力之一。这些结果可以用专家偏见来解释,即知识丰富的人对自己的知识水平评价较低,而知识较少的人则相反。目前的能力水平与评估的特定能力的重要性之间的差距表明,需要对发展数字卫生和社会保健服务的多学科能力进行专门教育。总体结果是一个自我评估工具,可用于评估专业化教育中不同能力领域的能力水平。对于卫生和社会保健组织来说,管理其专业人员的能力和继续教育是很重要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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