Pediatric Cardiac Arrest (Simulated)

This study evaluates whether an augmented reality cardiopulmonary resuscitation feedback system (AR-CPR) can support health care providers in delivering high-quality chest compressions during pediatric cardiac arrest. AR-CPR provides real-time visual feedback on chest compression rate, depth, and recoil through a head-mounted augmented reality display. In this randomized, multicenter, international, simulation-based non-inferiority study, health care providers perform chest compressions during an 18-minute simulated pediatric cardiac arrest. Participants are assigned to receive either real-time feedback from AR-CPR or coaching from a trained human CPR coach. The primary objective is to determine whether the percentage of chest compressions meeting guideline targets for both rate and depth with AR-CPR is non-inferior to that achieved with human CPR coaching.

High-quality chest compressions are critical for outcomes after pediatric cardiac arrest, yet rescuer ergonomics and bed height may adversely affect compression quality and fatigue. This randomized crossover simulation study will evaluate how four different bed-height settings influence pediatric CPR quality and rescuer biomechanics. Pediatric emergency medicine residents will perform 2-minute chest-compression-only CPR on a pediatric manikin placed on a hospital bed under four bed-height conditions in randomized order across separate sessions. CPR quality metrics from the manikin's feedback system, rescuer fatigue, physiologic responses, and arm angle over time will be compared to identify an ergonomically optimal bed-height approach.