IQ-CPR Meter for Chest Compression Monitoring During Simulated Cardiopulmonary Resuscitation; a Comparative Study IQ CPR
学术急诊医学档案,
卷 8 编号 1 (2020),
1 一月 2020
,
第 e76 页
https://doi.org/10.22037/aaem.v8i1.870
摘要
Introduction: Adequate chest compression is crucial for cardiopulmonary resuscitation (CPR). There are several chest compression monitoring devices with different costs. This study aimed to evaluate the agreement rate of Improved Quality of Cardiopulmonary Resuscitation meter (IQ-CPR meter) and automated external defibrillator (AED) in chest compression quality monitoring.
Methods: In this comparative study, participants were instructed to perform chest compression on the CPR manikins with the set rate of 110 times/minute for two minutes. The CPR manikins had two monitors: AED (R series®, Zoll company) and IQ-CPR meter. AED showed the depth and speed of chest compression on the screen, while IQ-CPR meter showed the depth of each chest compression by color light for quality of chest compression depth. Video-based analysis was used to compare the chest compression quality monitoring between the 2 devices.
Results: There were 27 participants in the study with a mean age and body mass index (standard deviation; SD) of 26.00 (5.65) years, and 22.93 (3.62) kg/m2 (70.37% male). The median (1st to 3rd quartile range) of chest compression experience was 3 (1.00-6.50) years. The mean (SD) of chest compression rate was 107 (5.29) times/minute. Based on Cohen’s Kappa correlation, agreement between the IQ-CPR meter and the AED was 66.54%.
Conclusion: The IQ-CPR meter had fair agreement with the computerized chest compression monitoring device with lower cost and simple, real time audiovisual feedback.
- Quality indicators, health care; heart arrest; cardiopulmonary resuscitation; simulation training
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参考
Andersen LW, Holmberg MJ, Berg KM, Donnino MW, Granfeldt A. In-Hospital Cardiac Arrest: A Review. Jama. 2019;321(12):1200-10.
Kleinman ME, Goldberger ZD, Rea T, Swor RA, Bobrow BJ, Brennan EE, et al. 2017 American Heart Association Focused Update on Adult Basic Life Support and Cardiopulmonary Resuscitation Quality: An Update to the American Heart Association Guidelines for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care. Circulation. 2018;137(1):e7-e13.
Kleinman ME, Brennan EE, Goldberger ZD, Swor RA, Terry M, Bobrow BJ, et al. Part 5: Adult Basic Life Support and Cardiopulmonary Resuscitation Quality: 2015 American Heart Association Guidelines Update for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care. Circulation. 2015;132(18 Suppl 2):S414-35.
Davey P, Whatman C, Dicker B. Comparison of Chest Compressions Metrics Measured Using the Laerdal Skill Reporter and Q-CPR: A Simulation Study. Simulation in healthcare : journal of the Society for Simulation in Healthcare. 2015;10(5):257-62.
Kramer-Johansen J, Myklebust H, Wik L, Fellows B, Svensson L, Sørebø H, et al. Quality of out-of-hospital cardiopulmonary resuscitation with real time automated feedback: a prospective interventional study. Resuscitation. 2006;71(3):283-92.
Yeung J, Davies R, Gao F, Perkins GD. A randomised control trial of prompt and feedback devices and their impact on quality of chest compressions--a simulation study. Resuscitation. 2014;85(4):553-9.
González-Calvete L, Barcala-Furelos R, Moure-González JD, Abelairas-Gómez C, Rodríguez-Núñez A. Utility of a simple lighting device to improve chest compressions learning. Revista espanola de anestesiologia y reanimacion. 2017;64(9):506-12.
Crowe C, Bobrow BJ, Vadeboncoeur TF, Dameff C, Stolz U, Silver A, et al. Measuring and improving cardiopulmonary resuscitation quality inside the emergency department. Resuscitation. 2015;93:8-13.
Hostler D, Everson-Stewart S, Rea TD, Stiell IG, Callaway CW, Kudenchuk PJ, et al. Effect of real-time feedback during cardiopulmonary resuscitation outside hospital: prospective, cluster-randomised trial. BMJ (Clinical research ed). 2011;342:d512.
Körber MI, Köhler T, Weiss V, Pfister R, Michels G. Quality of Basic Life Support - A Comparison between Medical Students and Paramedics. Journal of clinical and diagnostic research : JCDR. 2016;10(7):Oc33-7.
Lu TC, Chen Y, Ho TW, Chang YT, Lee YT, Wang YS, et al. A novel depth estimation algorithm of chest compression for feedback of high-quality cardiopulmonary resuscitation based on a smartwatch. Journal of biomedical informatics. 2018;87:60-5.
Sarma S, Bucuti H, Chitnis A, Klacman A, Dantu R. Real-Time Mobile Device-Assisted Chest Compression During Cardiopulmonary Resuscitation. The American journal of cardiology. 2017;120(2):196-200.
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