A Pilot Randomized Controlled Study to Determine the Effect of Real-Time Videos With Smart Glass on the Performance of the Cardiopulmonary Resuscitation.

IF 1.3 4区 医学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Cin-Computers Informatics Nursing Pub Date : 2024-11-12 DOI:10.1097/CIN.0000000000001211
Ayda Kebapci, Mustafa Ozkaynak, Fara Bowler, Heather Ponicsan, Zhan Zhang, Enze Bai
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Abstract

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.

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确定智能玻璃实时视频对心肺复苏术效果的试点随机对照研究。
本研究旨在确定智能眼镜实时视频对护理专业学生进行心肺复苏的影响。在这项随机对照试验研究中,学生被随机分配到智能眼镜组(12 人)或对照组(8 人)。每个学生的心肺复苏表现都要通过确定他们应用的美国心脏协会算法中的顺序步骤以及每个步骤的准确性和时间来进行评估。与对照组相比,智能玻璃组中正确检查响应呼吸、请求除颤器、启动应急小组以及提供适当胸外按压和呼吸的人数更多。组间差异明显。此外,与对照组相比,智能玻璃组有更多的参与者明显纠正了胸外按压的速度、深度和手的位置,使用了除颤器,并持续进行心肺复苏,直到应急小组到达。此外,除启动应急小组的时间外,智能玻璃组在所有变量上的时间都明显短于对照组(P < .05)。在心肺复苏过程中使用智能玻璃技术提供远程专家协助是很有前景的。智能玻璃明显改善了 ABC(气道、呼吸、循环)方法、胸外按压深度和速度以及手的位置。此外,智能玻璃提供的远程专家协助有可能提高整体复苏效果,因为它使学生能够启动复苏、使用除颤器并更早地对患者进行除颤。在现实生活中,护士可能会受益于智能玻璃技术,从而提供有效的心肺复苏。
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来源期刊
Cin-Computers Informatics Nursing
Cin-Computers Informatics Nursing 工程技术-护理
CiteScore
2.00
自引率
15.40%
发文量
248
审稿时长
6-12 weeks
期刊介绍: For over 30 years, CIN: Computers, Informatics, Nursing has been at the interface of the science of information and the art of nursing, publishing articles on the latest developments in nursing informatics, research, education and administrative of health information technology. CIN connects you with colleagues as they share knowledge on implementation of electronic health records systems, design decision-support systems, incorporate evidence-based healthcare in practice, explore point-of-care computing in practice and education, and conceptually integrate nursing languages and standard data sets. Continuing education contact hours are available in every issue.
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