Kebapci Ayda, Ozkaynak Mustafa, Bowler Fara, Ponicsan Heather, Zhang Zhan, Bai Enze
Author Affiliations: Koç University School of Nursing, Koç Üniversitesi Hastanesi, Topkapı, Istanbul, Turkey (Dr Kebapci); Anschutz Medical Campus, University of Colorado, Aurora, CO (Drs Ozkaynak, Bowler, and Ponicsan); and School of Computer Science and Information Systems, Pace University, New York (Dr Zhang and Bai).
Comput Inform Nurs. 2025 Feb 1;43(2):e01211. doi: 10.1097/CIN.0000000000001211.
The aim of this study was to determine the effect of real-time videos with smart glasses on the performance of cardiopulmonary resuscitation performed by nursing students. In this randomized controlled pilot study, the students were randomly assigned to the smart glass group (n = 12) or control group (n = 8). Each student's cardiopulmonary resuscitation performance was evaluated by determining sequential steps in the American Heart Association algorithm they applied and the accuracy and time of each step. A higher number of participants correctly checked response breathing, requested a defibrillator, activated the emergency response team, and provided appropriate chest compressions and breaths in the smart glass group than the control group. There were significant differences between groups. Furthermore, more participants significantly corrected chest compression rate and depth and hand location, used a defibrillator, and sustained cardiopulmonary resuscitation until the emergency response team arrived in the smart glass group than in the control group. Additionally, a significantly shorter time was observed in the smart glass group than in the control group in all variables except time to activate the emergency response team ( P < .05). Remote expert assistance with smart glass technology during cardiopulmonary resuscitation is promising. Smart glass led to a significantly better ABC (airway, breathing, circulation) approach, chest compression depth and rate, and hand position. Furthermore, remote expert assistance with smart glass has the potential to improve overall resuscitation performance because it enabled students to initiate resuscitation, use a defibrillator, and defibrillate patients earlier. Nurses may benefit from smart glass technology in real life to provide effective cardiopulmonary resuscitation.
本研究的目的是确定使用智能眼镜的实时视频对护生进行心肺复苏操作的影响。在这项随机对照试验性研究中，学生被随机分为智能眼镜组（n = 12）或对照组（n = 8）。通过确定每个学生应用的美国心脏协会算法中的连续步骤以及每个步骤的准确性和时间，来评估其心肺复苏操作表现。与对照组相比，智能眼镜组中有更多参与者正确检查了呼吸反应、请求了除颤器、启动了应急响应团队，并进行了适当的胸外按压和人工呼吸。两组之间存在显著差异。此外，与对照组相比，智能眼镜组中有更多参与者显著纠正了胸外按压的速率和深度以及手部位置，使用了除颤器，并持续进行心肺复苏直至应急响应团队到达。此外，除启动应急响应团队的时间外，智能眼镜组在所有变量上的时间均显著短于对照组（P < .05）。在心肺复苏期间使用智能眼镜技术获得远程专家协助很有前景。智能眼镜能带来显著更好的ABC（气道、呼吸、循环）操作方法、胸外按压深度和速率以及手部位置。此外，智能眼镜提供的远程专家协助有可能改善整体复苏表现，因为它能使学生更早地开始复苏、使用除颤器并对患者进行除颤。护士在实际生活中可能会从智能眼镜技术中受益，以提供有效的心肺复苏。
