Literature DB >> 21606561

An audiovisual feedback device for compression depth, rate and complete chest recoil can improve the CPR performance of lay persons during self-training on a manikin.

Vessela Krasteva1, Irena Jekova, Jean-Philippe Didon.   

Abstract

This study aims to contribute to the scarce data available about the abilities of untrained lay persons to perform hands-only cardio-pulmonary resuscitation (CPR) on a manikin and the improvement of their skills during training with an autonomous CPR feedback device. The study focuses on the following questions: (i) Is there a need for such a CPR training device? (ii) How adequate are the embedded visual feedback and audio guidance for training of lay persons who learn and correct themselves in real time without instructor guidance? (iii) What is the achieved effect of only 3 min of training? This is a prospective study in which 63 lay persons (volunteers) received a debriefing to basic life support and then performed two consecutive 3 min trials of hands-only CPR on a manikin. The pre-training skills of the lay persons were tested in trial 1. The training process with audio guidance and visual feedback from a cardio compression control device (CC-Device) was recorded in trial 2. After initial debriefing for correct chest compressions (CC) with rate 85-115 min(-1), depth 3.8-5.4 cm and complete recoil, in trial 1 the lay persons were able to perform CC without feedback at mean rate 95.9 ± 18.9 min(-1), mean depth 4.13 ± 1.5 cm, with low proportions of 'correct depth', 'correct rate' and 'correct recoil' at 33%, 43%, 87%, resulting in the scarce proportion of 14% for compressions, which simultaneously fulfill the three quality criteria ('correct all'). In trial 2, the training process by the CC-Device was established by the significant improvement of the CC skills until the 60th second of training, when 'correct depth', 'correct rate' and 'correct recoil' attained the plateau of the highest quality at 82%, 90%, 96%, respectively, resulting in 73% 'correct all' compressions within 3 min of training. The training was associated with reduced variance of the mean rate 102.4 ± 4.7 min(-1) and mean depth 4.3 ± 0.4 cm, indicating a steady CC performance achieved among all trained participants. Multivariable linear regression showed that the compression depth, rate and complete chest recoil did not strongly depend on lay person age, gender, height, weight in pre-training and training stage (correlation coefficient below 0.54). The study confirmed the need for developing CPR abilities in untrained lay persons via training by real-time feedback from the instructor or CC-Device. The CC-Device embedded feedback was shown to be comprehensible and easy to be followed and interpreted. The high quality of the CC-Device-assisted training process of lay persons was confirmed. Thus learning or refresher courses in basic life support could be organized for more people trained at the same time with fewer instructors needed only for the initial debriefing and presentation of the CC-Device.

Entities:  

Mesh:

Year:  2011        PMID: 21606561     DOI: 10.1088/0967-3334/32/6/006

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  17 in total

1.  Cardio pump reloaded: in-hospital resuscitation during transport.

Authors:  Marc-Michael Ventzke; Holger Gässler; Lorenz Lampl; Matthias Helm
Journal:  Intern Emerg Med       Date:  2013-08-09       Impact factor: 3.397

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.  Improvement of lay rescuer chest compressions with a novel audiovisual feedback device : A randomized trial.

Authors:  A Wutzler; S von Ulmenstein; M Bannehr; K Völk; J Förster; C Storm; W Haverkamp
Journal:  Med Klin Intensivmed Notfmed       Date:  2017-04-04       Impact factor: 0.840

4.  Does the use of cardiopulmonary resuscitation feedback devices improve the quality of chest compressions performed by doctors? A prospective, randomized, cross-over simulation study.

Authors:  Jolanta Majer; Milosz J Jaguszewski; Michael Frass; Marcin Leskiewicz; Jacek Smereka; Jerzy R Ładny; Oliver Robak; Łukasz Szarpak
Journal:  Cardiol J       Date:  2018-08-29       Impact factor: 2.737

5.  Effective CPR Procedure With Real Time Evaluation and Feedback Using Smartphones.

Authors:  Neeraj K Gupta; Vishnu Dantu; Ram Dantu
Journal:  IEEE J Transl Eng Health Med       Date:  2014-05-30       Impact factor: 3.316

6.  Basic life support: evaluation of learning using simulation and immediate feedback devices1.

Authors:  Lucia Tobase; Heloisa Helena Ciqueto Peres; Edenir Aparecida Sartorelli Tomazini; Simone Valentim Teodoro; Meire Bruna Ramos; Thatiane Facholi Polastri
Journal:  Rev Lat Am Enfermagem       Date:  2017-10-30

7.  Effectiveness of feedback with a smartwatch for high-quality chest compressions during adult cardiac arrest: A randomized controlled simulation study.

Authors:  Chiwon Ahn; Juncheol Lee; Jaehoon Oh; Yeongtak Song; Youngjoon Chee; Tae Ho Lim; Hyunggoo Kang; Hyungoo Shin
Journal:  PLoS One       Date:  2017-04-03       Impact factor: 3.240

8.  Protocol of a Multicenter International Randomized Controlled Manikin Study on Different Protocols of Cardiopulmonary Resuscitation for laypeople (MANI-CPR).

Authors:  Enrico Baldi; Enrico Contri; Roman Burkart; Paola Borrelli; Ottavia Eleonora Ferraro; Michela Tonani; Amedeo Cutuli; Daniele Bertaia; Pasquale Iozzo; Caroline Tinguely; Daniel Lopez; Susi Boldarin; Claudio Deiuri; Sandrine Dénéréaz; Yves Dénéréaz; Michael Terrapon; Christian Tami; Cinzia Cereda; Alberto Somaschini; Stefano Cornara; Andrea Cortegiani
Journal:  BMJ Open       Date:  2018-04-19       Impact factor: 2.692

9.  CPR performance in the presence of audiovisual feedback or football shoulder pads.

Authors:  Shota Tanaka; Wayne Rodrigues; Susan Sotir; Ryo Sagisaka; Hideharu Tanaka
Journal:  BMJ Open Sport Exerc Med       Date:  2017-07-24

10.  Performance of cardiopulmonary resuscitation feedback systems in a long-distance train with distributed traction.

Authors:  Digna M González-Otero; Sofía Ruiz de Gauna; Jesus Ruiz; Raquel Rivero; J J Gutierrez; Purificación Saiz; James K Russell
Journal:  Technol Health Care       Date:  2018       Impact factor: 1.285

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.