Document Type : Original Article


1 Assistant professor of cardiology, Department of Internal Medicine, Isfahan university of medical sciences, Isfahan, Iran

2 Specialist student

3 Cardiac Rehabilitation Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran



INTRODUCTION: Out-of-hospital cardiac arrest is a major public health problem with over 90% case fatality. Although it is known that good quality of cardiopulmonary Resuscitation (CPR) leads to improved patient outcomes, health care practitioners commonly perform sub-optimal CPR. The CPR feedback device is a small device designed to measure the number and depth of chest compressions (CC) and if the rate of compressions or the depth of the compressions is low or high, it will try to correct the CPR operation by announcing a warning to the resuscitator. The aim of this study was to evaluate the effectiveness of this device which was designed and made by the authors’ technician study group member in improving CPR operations, to determine the need for it in all hospitals on a routine basis.
METHOD: This cross-sectional study was performed on patients who have suffered from cardio-pulmonary arrest in Al-Zahra Hospital in 2020. Patients needed primary CPR for any reason, were randomly divided into two groups using random allocation software. The first group contains patients as the CPR Feedback device is on and alarm is on and warns, if resuscitation is ineffective, the second group also uses the device, but with the difference that the alarm is off. The data was analyzed by general linear model method (repeated measure ANOVA).
RESULTS:  80 patients were studied, including 63 men (79%) and 17 women (21%). Patients were divided among two groups. There was no significant difference in demographic characteristics between two groups. The results showed that there was no significant interaction between group and time for the compression depth variable and there was no significant difference in the depth of compressions between the two groups(P>0.05). For the rate of compressions, there was a significant interaction between group and time. These results indicate that turning on the CPR feedback device’s warning increases the number of compressions during CPR and, as a result, makes it more effective. The between-group effect which showed the difference in the number of compressions in the two groups, was statistically significant (P<0.001).
CONCLUSION: These results indicated that turning on the CPR feedback device’s warning increases the rate of compressions during CPR and, as a result, makes it more effective. Therefore, the use of real-time CPR feedback device during chest compression in real-time CPR improves the quality of CPR.


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