Robot use self-efficacy in healthcare work (RUSH): development and validation of a new measure

Robot use self-efficacy in healthcare work (RUSH): development and validation of a new measure
复制标题

机器人在医疗保健工作中使用自我效能(RUSH):新措施的开发和验证

DOI:
--
复制
发表时间:
2019
期刊:
影响因子:
3
通讯作者:
Atte Oksanen
Atte Oksanen
中科院分区:
--
文献类型:
--
作者:
Tuuli Turja;T. Rantanen;Atte Oksanen

文献摘要

被引文献

相似文献

本研究的目的是基于社会认知理论和计划行为理论,开发并验证医疗保健工作中机器人使用自我效能(RUSH)的衡量标准。本文简要介绍了特定技术的自我效能感,并讨论了测量护理人员在使用机器人时的自我效能感的仪器的开发、验证和实施。芬兰语测量的有效性评估基于 2016 年收集的代表性调查样本。受访者包括执业护士和注册护士、家庭护理人员和物理治疗师。大多数受访者是女性。完整的工具由一组六个特定任务的自我效能感项目组成,涉及技术技能的一般看法、学习机器人使用的信心以及指导他人使用机器人的信心。该措施的较短版本选择了三个项目。建立了表面效度、结构效度和信度来验证这些工具。发现 3 项和 6 项测量在结构上高度一致。平均而言,RUSH 水平较高的受访者还报告了更普遍的自我效能感和对技术的兴趣。包含三个项目的非常简短的工具可以方便地包含在重复的员工调查中。
The aim of this study was to develop and validate a measure of robot use self-efficacy in healthcare work (RUSH) based on social cognitive theory and the theory of planned behavior. This article provides a briefing on technology-specific self-efficacy and discusses the development, validation, and implementation of an instrument that measures care workers’ self-efficacy in working with robots. The validity evaluation of the Finnish-language measure was based on representative survey samples gathered in 2016. The respondents included practical and registered nurses, homecare workers, and physiotherapists. A majority of the respondents were female. The full instrument consists of a set of six task-specific self-efficacy items concerning general views of technological skills, confidence in learning robot use, and confidence in guiding others in robot use. Three items were chosen for the shorter version of the measure. The face validity, construct validity, and reliability were established to validate the instruments. Both 3-item and 6-item measures were found to be highly consistent in structure. Respondents with high levels of RUSH also reported more general self-efficacy and interest in technology, on average. A very brief instrument of three items is convenient to include in repeated employee surveys.