How should we teach cardiopulmonary resuscitation? Randomized multi-center study

Cardiol J. 2021;28(3):439-445. doi: 10.5603/CJ.a2019.0092. Epub 2019 Sep 30.

Abstract

Background: A 2017 update of the resuscitation guideline indicated the use of cardiopulmonary resuscitation (CPR) feedback devices as a resuscitation teaching method. The aim of the study was to compare the influence of two techniques of CPR teaching on the quality of resuscitation performed by medical students.

Methods: The study was designed as a prospective, randomized, simulation study and involved 115 first year students of medicine. The participants underwent a basic life support (BLS) course based on the American Heart Association guidelines, with the first group (experimental group) performing chest compressions to observe, in real-time, chest compression parameters indicated by software included in the simulator, and the second group (control group) performing compressions without this possibility. After a 10-minute resuscitation, the participants had a 30-minute break and then a 2-minute cycle of CPR. One month after the training, study participants performed CPR, without the possibility of observing real-time measurements regarding quality of chest compression.

Results: One month after the training, depth of chest compressions in the experimental and control group was 50 mm (IQR 46-54) vs. 39 mm (IQR 35-42; p = 0.001), compression rate 116 CPM (IQR 102-125) vs. 124 CPM (IQR 116-134; p = 0.034), chest relaxation 86% (IQR 68-89) vs. 74% (IQR 47-80; p = 0.031) respectively.

Conclusions: Observing real-time chest compression quality parameters during BLS training may improve the quality of chest compression one month after the training including correct hand positioning, compressions depth and rate compliance.

Keywords: basic life support; chest compression; learning; medial simulation; quality.

Publication types

  • Multicenter Study
  • Randomized Controlled Trial

MeSH terms

  • Cardiopulmonary Resuscitation*
  • Feedback
  • Humans
  • Manikins*
  • Prospective Studies
  • Software