Literature DB >> 20825844

Cardiopulmonary resuscitation feedback improves the quality of chest compression provided by hospital health care professionals.

Charles N Pozner1, Adam Almozlino, Jonathan Elmer, Stephen Poole, De'Ann McNamara, David Barash.   

Abstract

STUDY
OBJECTIVE: High-quality chest compressions (CCs) are an important component of successful resuscitation. Suboptimal in-hospital CC are commonly reported. Skill degradation and fatigue have been implicated. We assessed the effect of a handheld feedback device on the measured and perceived quality of CC and rescuer physiologic response.
METHODS: This is a nonblinded randomized controlled study of nurses at an academic medical center. Participants performed CC on a mannequin either with or without a feedback device. Compression rate (CR) and compression depth (CD), heart rate, and oxygen saturation were documented. Perceived quality of CC, fatigue, and ease of use of the device were obtained.
RESULTS: Twelve nurses were in the feedback group (FG) and 13 were controls. Mean CD was significantly higher in the FG (1.99 ± 0.37 in vs 1.52 ± 0.36 in; P = .005) and mean CR significantly lower in the FG (127 ± 13.8 per min vs 101 ± 9.7 per min; P ≤ .0001). Using a CD of more than 1.5 in and a CR of 90 to 100 as a composite measure of high-quality CC, the FG performed significantly better (81.4% ± 22.0% vs 10.4% ± 21.9%; P < .0001). Perceived CD, CR, and fatigue did not differ between groups; however, participants overestimated depth and underestimated rate. The FG rated the design as user-friendly (85% + 26%) helpful in maintaining correct CR (83% + 26%).
CONCLUSION: A handheld accelerometer-based audiovisual cardiopulmonary resuscitation (CPR) feedback device significantly improved the quality of CCs provided by experienced hospital nurses in a simulated setting, with no perceived or measured difference in fatigue between the 2 groups. The CPR feedback provides an effective means to monitor and improve CPR performance.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20825844     DOI: 10.1016/j.ajem.2010.01.008

Source DB:  PubMed          Journal:  Am J Emerg Med        ISSN: 0735-6757            Impact factor:   2.469


  17 in total

1.  A new chest compression depth feedback algorithm for high-quality CPR based on smartphone.

Authors:  Yeongtak Song; Jaehoon Oh; Youngjoon Chee
Journal:  Telemed J E Health       Date:  2014-11-17       Impact factor: 3.536

2.  The association of layperson characteristics with the quality of simulated cardiopulmonary resuscitation performance.

Authors:  Marion Leary; David G Buckler; Daniel J Ikeda; Daiane A Saraiva; Robert A Berg; Vinay M Nadkarni; Audrey L Blewer; Benjamin S Abella
Journal:  World J Emerg Med       Date:  2017

3.  External chest compressions using a mechanical feedback device : cross-over simulation study.

Authors:  M Skorning; M Derwall; J C Brokmann; D Rörtgen; S Bergrath; J Pflipsen; S Beuerlein; R Rossaint; S K Beckers
Journal:  Anaesthesist       Date:  2011-03-24       Impact factor: 1.041

4.  Relationship between weight of rescuer and quality of chest compression during cardiopulmonary resuscitation.

Authors:  Tomoyuki Hasegawa; Rie Daikoku; Shin Saito; Yayoi Saito
Journal:  J Physiol Anthropol       Date:  2014-06-24       Impact factor: 2.867

5.  Short structured feedback training is equivalent to a mechanical feedback device in two-rescuer BLS: a randomised simulation study.

Authors:  Noemi Pavo; Georg Goliasch; Franz Josef Nierscher; Dominik Stumpf; Moritz Haugk; Jan Breckwoldt; Kurt Ruetzler; Robert Greif; Henrik Fischer
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2016-05-13       Impact factor: 2.953

6.  Addition of Audiovisual Feedback During Standard Compressions Is Associated with Improved Ability.

Authors:  Steve A Aguilar; Nicholas Asakawa; Cameron Saffer; Christine Williams; Steven Chuh; Lewei Duan
Journal:  West J Emerg Med       Date:  2018-02-26

7.  Four-stage teaching technique and chest compression performance of medical students compared to conventional technique.

Authors:  Matej Jenko; Maja Frangez; Aleksander Manohin
Journal:  Croat Med J       Date:  2012-10       Impact factor: 1.351

8.  A new method for feedback on the quality of chest compressions during cardiopulmonary resuscitation.

Authors:  Digna M González-Otero; Jesus Ruiz; Sofía Ruiz de Gauna; Unai Irusta; Unai Ayala; Erik Alonso
Journal:  Biomed Res Int       Date:  2014-08-28       Impact factor: 3.411

9.  A reliable method for rhythm analysis during cardiopulmonary resuscitation.

Authors:  U Ayala; U Irusta; J Ruiz; T Eftestøl; J Kramer-Johansen; F Alonso-Atienza; E Alonso; D González-Otero
Journal:  Biomed Res Int       Date:  2014-05-07       Impact factor: 3.411

10.  50% duty cycle may be inappropriate to achieve a sufficient chest compression depth when cardiopulmonary resuscitation is performed by female or light rescuers.

Authors:  Chang Jae Lee; Tae Nyoung Chung; Jinkun Bae; Eui Chung Kim; Sung Wook Choi; Ok Jun Kim
Journal:  Clin Exp Emerg Med       Date:  2015-03-31
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