Integration of Extended Reality and a High-fidelity Simulator in Team-based Simulations for Arrhythmia Scenarios Among Undergraduate Nursing Students

semanticscholar(2021)

引用 0|浏览5
暂无评分
摘要
Objective: The purpose of this study was to evaluate the usability and feasibility of smart glasses for team-based simulations constructed using a high-fidelity simulator. Methods: Two scenarios of patients with arrhythmia were developed to establish the process for interprofessional interaction via smart-glass in 15 hour simulation training. Three to four participants made a team and took roles of either remote supporter and bad-side trainee with smart-glass. Usability, attitudes towards interprofessional health care team and learning satisfaction were assessed. A scale for software evaluation was used to obtain quantitative data and essay questionnaire were used to assess usability and feasibility of current program. Using SPSS (version 25.0), statistical analysis was conducted. Results: Data were obtained from 31 participants. The current program was given an easy to use (3.61±0.95) rating, and the users reported feeling confident during use (3.90±0.87). Participants responded positively to long-term use (3.26±0.89) and low levels of physical discomfort (1.96±1.06). The likability of the smart glasses-based simulation was high, with a high rating for satisfaction (4.65±0.55). The majority (84%) of subjects provided favorable responses to their overall experience with high expectations for improving safety in future clinical practice. Key barriers and challenges of the current program include unstable internet connection, poor resolution and display, and physical discomfort of the smart glasses with accessories. Conclusion: We determined the feasibility and acceptability of smart glasses for interprofessional interaction within a team-based simulation environment. Participants responded favorably toward a smart glasses-based simulation learning environment that would be applicable in clinical settings.
更多
查看译文
关键词
arrhythmia scenarios,simulations,nursing students,high-fidelity,team-based
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要