Paediatric chest compression performance improves via novel augmented-reality cardiopulmonary resuscitation feedback system: A mixed-methods pilot study in a simulation-based setting

Abstract

Aim: More than 20,000 children experience a cardiac arrest event each year in the United States. Most children do not survive. High-quality cardiopulmonary resuscitation (CPR) has been associated with improved outcomes yet adherence to guidelines is poor. We developed and tested an augmented reality head mounted display chest compression (CC) feedback system (AR-CPR) designed to provide real-time CC feedback and guidance. Methods: We conducted an unblinded randomized crossover simulation-based study to determine whether AR-CPR changes a user's CC performance. A convenience sample of healthcare providers who perform CC on children were included. Subjects performed three two-minute cycles of CC during a simulated 18-minute paediatric cardiac arrest. Subjects were randomized to utilize AR-CPR in the second or third CC cycle. After, subjects participated in a qualitative portion to inquire about their experience with AR-CPR and offer criticisms and suggestions for future development. Results: There were 34 subjects recruited. Sixteen subjects were randomly assigned to have AR-CPR in cycle two (Group A) and 18 subjects were randomized to have AR-CPR in cycle three (Group B). There were no differences between groups CC performance in cycle one (baseline). In cycle two, subjects in Group A had 73% (SD 18%) perfect CC epochs compared to 17% (SD 26%) in Group B (p < 0.001). Overall, subjects enjoyed using AR-CPR and felt it improved their CC performance. Conclusion: This novel AR-CPR feedback system showed significant CC performance change closer to CC guidelines. Numerous hardware, software, and user interface improvements were made during this pilot study.

Keywords

• Paediatric CPR
• Augmented Reality
• Simulation
• Resuscitation
• CPR Feedback
• Mixed-methods