Training Frequency and Anxiety: Do CPR Manikins Lend to Delivering High-Quality CPR?

Training Frequency and Anxiety: Do CPR Manikins Lend to Delivering High-Quality CPR? by Steven A. Marks MS, California State University, San Bernardino, 2001 BA, California State University, San Bernardino, 1994 Dissertation Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy Education Walden University November 2019 Abstract Cardiopulmonary resuscitation (CPR) manikins are an educational technology tool employed to train nurses to perform high-quality CPR during real-life cardiac arrest events. However, a gap exists between CPR skills learned in training and those used in real life. The purpose of this quantitative study was to examine how CPR feedback and anxiety in registered nurses affect CPR performance on a manikin. Distributed practice and attentional control theory served as the foundations for this study. The research questions addressed the influence of demographic factors, real-time CPR feedback, and simulated hospital noises on CPR performance using CPR manikins. The study included a randomized longitudinal experimental design. Data were collected from 120 nurses via a demographic questionnaire, the Cognitive and Somatic Anxiety Questionnaire, and CPR compression performance feedback via a Zoll R Series defibrillator. Data analysis involved a repeated measures ANOVA or a regression analysis. Findings indicated that participants’ age predicted CPR performance. Receiving real-time CPR feedback led to a statistically significant improvement in performance, and the introduction of hospital noises did not predict CPR performance. Findings may be used to enhance individualCardiopulmonary resuscitation (CPR) manikins are an educational technology tool employed to train nurses to perform high-quality CPR during real-life cardiac arrest events. However, a gap exists between CPR skills learned in training and those used in real life. The purpose of this quantitative study was to examine how CPR feedback and anxiety in registered nurses affect CPR performance on a manikin. Distributed practice and attentional control theory served as the foundations for this study. The research questions addressed the influence of demographic factors, real-time CPR feedback, and simulated hospital noises on CPR performance using CPR manikins. The study included a randomized longitudinal experimental design. Data were collected from 120 nurses via a demographic questionnaire, the Cognitive and Somatic Anxiety Questionnaire, and CPR compression performance feedback via a Zoll R Series defibrillator. Data analysis involved a repeated measures ANOVA or a regression analysis. Findings indicated that participants’ age predicted CPR performance. Receiving real-time CPR feedback led to a statistically significant improvement in performance, and the introduction of hospital noises did not predict CPR performance. Findings may be used to enhance individual performance of CPR, which may benefit society through improved patient care during cardiac arrest. Training Frequency and Anxiety: Do CPR Manikins Lend to Delivering High-Quality CPR? by Steven A. Marks MS, California State University, San Bernardino, 2001 BA, California State University, San Bernardino, 1994 Dissertation Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy Education Walden University November 2019 Dedication I dedicate this project to the nurses who took time out of their busy workday to help a PhD candidate examine a topic in the hopes of advancing CPR training knowledge at a global level. Their interest in the topic and passion for delivering high-quality care were obvious. If it were not for their selfless actions and their participation in the study, this project would not have been realized. Acknowledgments I would like to thank Dr. Tyrrell and Dr. Marrapodi for their guidance, direction, and inspiration on this project. Even during the ups and downs of writing a dissertation, their support was unwavering. I feel blessed to have worked with such fine scholars who pushed me to be the best I could be. I would also like to acknowledge Dr. Lynn E. Shaffer for her help with the statistical analysis and Toni Williams who edited this manuscript.