Literature DB >> 24463223

A randomised control trial of prompt and feedback devices and their impact on quality of chest compressions--a simulation study.

Joyce Yeung1, Robin Davies2, Fang Gao1, Gavin D Perkins3.   

Abstract

AIM: This study aims to compare the effect of three CPR prompt and feedback devices on quality of chest compressions amongst healthcare providers.
METHODS: A single blinded, randomised controlled trial compared a pressure sensor/metronome device (CPREzy), an accelerometer device (Phillips Q-CPR) and simple metronome on the quality of chest compressions on a manikin by trained rescuers. The primary outcome was compression depth. Secondary outcomes were compression rate, proportion of chest compressions with inadequate depth, incomplete release and user satisfaction.
RESULTS: The pressure sensor device improved compression depth (37.24-43.64 mm, p=0.02), the accelerometer device decreased chest compression depth (37.38-33.19 mm, p=0.04) whilst the metronome had no effect (39.88 mm vs. 40.64 mm, p=0.802). Compression rate fell with all devices (pressure sensor device 114.68-98.84 min(-1), p=0.001, accelerometer 112.04-102.92 min(-1), p=0.072 and metronome 108.24 min(-1) vs. 99.36 min(-1), p=0.009). The pressure sensor feedback device reduced the proportion of compressions with inadequate depth (0.52 vs. 0.24, p=0.013) whilst the accelerometer device and metronome did not have a statistically significant effect. Incomplete release of compressions was common, but unaffected by the CPR feedback devices. Users preferred the accelerometer and metronome devices over the pressure sensor device. A post hoc study showed that de-activating the voice prompt on the accelerometer device prevented the deterioration in compression quality seen in the main study.
CONCLUSION: CPR feedback devices vary in their ability to improve performance. In this study the pressure sensor device improved compression depth, whilst the accelerometer device reduced it and metronome had no effect.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Chest compression; Education; Feedback devices; Training

Mesh:

Year:  2014        PMID: 24463223     DOI: 10.1016/j.resuscitation.2014.01.015

Source DB:  PubMed          Journal:  Resuscitation        ISSN: 0300-9572            Impact factor:   5.262


  12 in total

Review 1.  Randomized controlled trials of simulation-based interventions in Emergency Medicine: a methodological review.

Authors:  Anthony Chauvin; Jennifer Truchot; Aida Bafeta; Dominique Pateron; Patrick Plaisance; Youri Yordanov
Journal:  Intern Emerg Med       Date:  2017-11-16       Impact factor: 3.397

2.  IQ-CPR Meter for Chest Compression Monitoring During Simulated Cardiopulmonary Resuscitation; a Comparative Study.

Authors:  Phatthranit Phattharapornjaroen; Suwitchaya Surapornpaiboon; Phanorn Chalermdamrichai; Yuwares Sittichanbuncha; Kittisak Sawanyawisuth
Journal:  Arch Acad Emerg Med       Date:  2020-09-19

3.  The System-Wide Effect of Real-Time Audiovisual Feedback and Postevent Debriefing for In-Hospital Cardiac Arrest: The Cardiopulmonary Resuscitation Quality Improvement Initiative.

Authors:  Keith Couper; Peter K Kimani; Benjamin S Abella; Mehboob Chilwan; Matthew W Cooke; Robin P Davies; Richard A Field; Fang Gao; Sarah Quinton; Nigel Stallard; Sarah Woolley; Gavin D Perkins
Journal:  Crit Care Med       Date:  2015-11       Impact factor: 7.598

4.  A Simulation-based Randomized Controlled Study of Factors Influencing Chest Compression Depth.

Authors:  Kelsey P Mayrand; Eric J Fischer; Raymond P Ten Eyck
Journal:  West J Emerg Med       Date:  2015-11-13

5.  Randomised crossover trial of rate feedback and force during chest compressions for paediatric cardiopulmonary resuscitation.

Authors:  Rachael Kathleen Gregson; Tim James Cole; Sophie Skellett; Emmanouil Bagkeris; Denise Welsby; Mark John Peters
Journal:  Arch Dis Child       Date:  2016-10-24       Impact factor: 3.791

6.  Real-time compression feedback for patients with in-hospital cardiac arrest: a multi-center randomized controlled clinical trial.

Authors:  Reza Goharani; Amir Vahedian-Azimi; Behrooz Farzanegan; Farshid R Bashar; Mohammadreza Hajiesmaeili; Seyedpouzhia Shojaei; Seyed J Madani; Keivan Gohari-Moghaddam; Sevak Hatamian; Seyed M M Mosavinasab; Masoum Khoshfetrat; Mohammad A Khabiri Khatir; Andrew C Miller
Journal:  J Intensive Care       Date:  2019-01-22

7.  Evaluation of skills acquisition using a new low-cost tool for CPR self-training.

Authors:  Carla Sá-Couto; Ana Margarida Ferreira; Diana Almeida; Abel Nicolau; Pedro Vieira-Marques
Journal:  Porto Biomed J       Date:  2018-07-03

Review 8.  Real-time audio-visual feedback with handheld nonautomated external defibrillator devices during cardiopulmonary resuscitation for in-hospital cardiac arrest: A meta-analysis.

Authors:  Andrew C Miller; Kiyoshi Scissum; Lorena McConnell; Nathaniel East; Amir Vahedian-Azimi; Kerry A Sewell; Shahriar Zehtabchi
Journal:  Int J Crit Illn Inj Sci       Date:  2020-09-22

9.  Does video feedback analysis improve CPR performance in phase 5 medical students?

Authors:  Andrew D Spence; Sonia Derbyshire; Ian K Walsh; James M Murray
Journal:  BMC Med Educ       Date:  2016-08-12       Impact factor: 2.463

10.  Part 8. Cardiopulmonary resuscitation education: 2015 Korean Guidelines for Cardiopulmonary Resuscitation.

Authors:  Hyuk Jun Yang; Gi Woon Kim; Gyu Chong Cho; Yang Ju Tak; Sung Phil Chung; Sung Oh Hwang
Journal:  Clin Exp Emerg Med       Date:  2016-07-05
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