A1 Cardiopulmonary resuscitation skills self-training with a novel automated-feedback device: impact in compressions performance
Abel Nicolau1,2, Carla Sá-Couto1,2, Isabel Sousa3, Pedro Vieira-Marques2,3
1Biomedical Simulation Center, Faculty of Medicine of University of Porto, Portugal; 2Center for Health Technology and Services Research (CINTESIS), Portugal; 3Informatics Service, Faculty of Medicine of University of Porto, Portugal
Correspondence: Carla Sá-Couto (email@example.com)
Cardiopulmonary resuscitation (CPR) is a vital action that may double or quadruple the survival rate from cardiac arrest. Chest compressions are a basilar component of CPR and should be performed with high quality to improve patient outcomes. CPR training promotes acquisition and maintenance of fundamental skills, although it can be time consuming and expensive. To overcome these limitations, several devices are available with automated feedback on the main components of compressions, including frequency, depth, hands positioning and chest recoil. The aim of this work is to study the impact of CPR self-training using a novel automated-feedback device (CPR Personal Trainer) in the compressions performance of healthcare professionals and students. A secondary objective was to evaluate the adherence of the target samples to self-training.
An experimental pre-post study was implemented, with a convenience sample constituted by voluntary medical students (MSt) from the Faculty of Medicine of the University of Porto and medical doctors (MD) and registered nurses (RN) from the Intermediate Care Unit of the University Hospital Center of São João. Ethical approval was obtained prior to the study. CPR Personal Trainer was made available for a 6-week self-training period at the participants work/study place allowing an easy access during shifts/classes. Before the study, all participants had a familiarization session with the device and were advised to train whenever they wish. Before and after the self-training period each participant performed 2 minutes of chest compressions in the device for performance assessment, namely frequency, depth, hands positioning and chest recoil. During the self-training period, the number of trainings, number of compressions and training time were recorded by the system. Statistical analysis was conducted using the IBM SPSS Statistics® software.
Results & Discussion
Data was collected from 46 individuals: 12 MD, 17 RN, and 17 MSt. During the self-training period participants spent, in total, 270 minutes using the device. Students’ participation was markedly higher than healthcare professionals, averaging 12.2 training sessions versus 3.2 and 1.6 for RNs and MDs, respectively. Compressions performance scores (Table 1) showed improvements in all components, for all groups, with the exception of chest recoil. Of notice is that, for hands positioning, frequency and depth, the mean values of the post-tests are all within the recommended guidelines, for all groups. Inter-group comparisons showed statistical significant differences in two components before the self-training, but no significant differences after.
This indicates similar performance levels in all groups, after the self-training period. CPR self-training with automated-feedback devices seems to be an adequate strategy for acquisition and maintenance of skills. Further investigation should explore the retention of these gains.
This works was supported by National Funds through FCT - Fundação para a Ciência e a Tecnologia within CINTESIS, R & D Unit (reference UID/IC/4255/2019).
The authors declare that all procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1975 (In its most recently amended version). Informed consent was obtained from all patients/participants included in the study.