The quality of chest compression (CC) is the primary factor for “high-quality” cardiopulmonary resuscitation (CPR) after cardiac arrest ( 1).
#Chest compression fraction ideally greater than simulator
No difference between the SS group and RA group was found in all the CC parameters.Ĭonclusions: The simplified ECM trainer (SS) provides a similar efficacy to the traditional manikin simulator with feedback in CC training to improve the quality of CPR skills. control group, P = 0.011 and RA group vs. control group, P = 0.026), the proportion of shallow CC (SS group vs. control group, P = 0.032 and RA group vs. Both the SS and RA groups showed better CC performance than the control group in terms of CC rate (SS group vs. Results: The percentage of effective CC achieved in the SS group was comparable with the RA group (77.0 ± 15.52 vs. The primary outcome was the proportion of effective CC, and the secondary outcome included CC rate, depth, compression position, and extent of the release. After 7 days of training, the CPR skills were tested blindly in a 2-min assessment session. Methods: A total of 60 soldiers were randomly allocated into three groups equally, trained with a simplified external cardiac massage (ECM) trainer named Soul Sheath TM (SS) (SS group), a Resusci Anne manikin (RA group), or traditional simulation training with instructor feedback, respectively. This study aimed to compare the training efficacy of a simplified feedback trainer with the traditional cardiopulmonary resuscitation (CPR) simulator in CPR training. 3Department of Colorectal Surgery, Changhai Hospital, Naval Medical University, Shanghai, Chinaīackground: The most recent international guidelines recommended support training of chest compression (CC) using feedback devices.2Department of Anesthesiology, Changhai Hospital, Naval Medical University, Shanghai, China.1Department of Anesthesiology, Eastern Hepatobiliary Surgical Hospital, Naval Medical University, Shanghai, China.Xiao-yan Meng 1,2 †, Jia You 2 †, Li-li Dai 3 †, Xiao-dong Yin 2, Jian-an Xu 2 and Jia-feng Wang 2 *
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