Improving CPR Quality by Using a Real-Time Feedback Defibrillator During Pediatric Simulation Training.

OBJECTIVE: The aim of this study was to assess the effectiveness of a defibrillator with real-time feedback during code team training to improve adherence to the American Heart Association (AHA) resuscitation guidelines. METHODS: This is a retrospective cohort study designed to compare pediatric resident adherence to the AHA cardiopulmonary resuscitation guidelines before and after use of real-time feedback defibrillator during code team training simulation. After institution of a real-time feedback defibrillator, first-year resident's adherence to the AHA guidelines for chest compression rate (CCR), fraction, and depth during code team training from January 2017 to December 2018 was analyzed. It was then compared with results of a previously published study from our institution that analyzed the CCR and fraction from January 2015 to January 2016, before the implementation of a defibrillator with real-time feedback. RESULTS: We compared 19 eligible session preintervention and 36 postintervention sessions. Chest compression rate and chest compression fraction (CCF) were assessed preintervention and postintervention. The depth of compression was only available postintervention. There was improvement in the proportion of code team training sessions with mean compression rate (74% preintervention vs 100% postintervention, P = 0.003) and mean CCF (79% vs 97%, P = 0.04) in adherence with the AHA guideline. CONCLUSIONS: The use of real-time feedback defibrillators improved the adherence to the AHA cardiopulmonary resuscitation guidelines for CCF and CCR during pediatric resident simulation.

Code Team Training: Demonstrating Adherence to AHA Guidelines During Pediatric Code Blue Activations.

OBJECTIVE: Pediatric code blue activations are infrequent events with a high mortality rate despite the best effort of code teams. The best method for training these code teams is debatable; however, it is clear that training is needed to assure adherence to American Heart Association (AHA) Resuscitation Guidelines and to prevent the decay that invariably occurs after Pediatric Advanced Life Support training. The objectives of this project were to train a multidisciplinary, multidepartmental code team and to measure this team's adherence to AHA guidelines during code simulation. METHODS: Multidisciplinary code team training sessions were held using high-fidelity, in situ simulation. Sessions were held several times per month. Each session was filmed and reviewed for adherence to 5 AHA guidelines: chest compression rate, ventilation rate, chest compression fraction, use of a backboard, and use of a team leader. After the first study period, modifications were made to the code team including implementation of just-in-time training and alteration of the compression team. RESULTS: Thirty-eight sessions were completed, with 31 eligible for video analysis. During the first study period, 1 session adhered to all AHA guidelines. During the second study period, after alteration of the code team and implementation of just-in-time training, no sessions adhered to all AHA guidelines; however, there was an improvement in percentage of sessions adhering to ventilation rate and chest compression rate and an improvement in median ventilation rate. CONCLUSIONS: We present a method for training a large code team drawn from multiple hospital departments and a method of assessing code team performance. Despite subjective improvement in code team positioning, communication, and role completion and some improvement in ventilation rate and chest compression rate, we failed to consistently demonstrate improvement in adherence to all guidelines.

How Augmenting Reality Changes the Reality of Simulation: Ethnographic Analysis.

BACKGROUND: Simulation-based medical education (SBME) provides key medical training for providers to safely and ethically practice high-risk events. Augmented reality (AR)-enhanced simulation projects digital images of realistic examination findings into a participant's field of view, which allows nuanced physical examination findings such as respiratory distress and skin perfusion to be prominently displayed. It is unknown how AR compares to traditional mannequin (TM)-based simulation with regard to influencing participant attention and behavior. OBJECTIVE: The purpose of this study is to use video-based focused ethnography-a problem-focused, context-specific descriptive form of research whereby the research group collectively analyzes and interprets a subject of interest-to compare and categorize provider attention and behavior during TM and AR and provide suggestions for educators looking to delineate these 2 modalities. METHODS: Twenty recorded interprofessional simulations (10 TM, 10 AR) featuring a decompensating child were evaluated through video-based focused ethnography. A generative question was posed: "How do the attention and behavior of participants vary based on the simulation modality?" Iterative data collection, analysis, and pattern explanation were performed by a review team spanning critical care, simulation, and qualitative expertise. RESULTS: The attention and behavior of providers during TM and AR simulation clustered into three core themes: (1) focus and attention, (2) suspension of disbelief, and (3) communication. Participants focused on the mannequin during AR, especially when presented with changing physical examination findings, whereas in TM, participants focused disproportionately on the cardiorespiratory monitor. When participants could not trust what they were seeing or feeling in either modality, the illusion of realism was lost. In AR, this manifested as being unable to physically touch a digital mannequin, and in TM, participants were often unsure if they could trust their physical examination findings. Finally, communication differed, with calmer and clearer communication during TM, while AR communication was more chaotic. CONCLUSIONS: The primary differences clustered around focus and attention, suspension of disbelief, and communication. Our findings provide an alternative methodology to categorize simulation, shifting focus from simulation modality and fidelity to participant behavior and experience. This alternative categorization suggests that TM simulation may be superior for practical skill acquisition and the introduction of communication strategies for novice learners. Meanwhile, AR simulation offers the opportunity for advanced training in clinical assessment. Further, AR could be a more appropriate platform for assessing communication and leadership by more experienced clinicians due to the generated environment being more representative of decompensation events. Further research will explore the attention and behavior of providers in virtual reality-based simulations and real-life resuscitations. Ultimately, these profiles will inform the development of an evidence-based guide for educators looking to optimize simulation-based medical education by pairing learning objectives with the ideal simulation modality.

Compatibility of ZOLL Defibrillators in Simulation-Based Training.

INTRODUCTION: In response to the need for high-quality cardiopulmonary resuscitation (CPR) during cardiac arrest, our institution recently purchased ZOLL R Series monitor/defibrillators. This defibrillator provides CPR quality metrics and displays a filtered rhythm through compressions. Purchase of this defibrillator resulted in a practice change and heavily impacted our simulation-based training courses by requiring providers to practice CPR and defibrillation in as close to the real environment as possible. Thus, our objective was to determine which commercial simulators would be compatible with the ZOLL R Series defibrillator system and its CPR feedback functionality in a simulation-based training setting. METHODS: Our simulation center uses primarily Gaumard Scientific and Laerdal Medical simulators ranging in size from neonate to adult. Through an iterative process in the laboratory, we evaluated if, and to what level, the CPR display metrics, filtered rhythm, and idle time display could be demonstrated with CPR on the different simulators using infant, pediatric, and adult pads. RESULTS: Certain simulators allow demonstration and real-time practice of defibrillator functions better than others with the ZOLL R Series system when used in the context of CPR training. We have no high-fidelity infant-sized simulators that can meet the depth recommendation for chest compressions given by the American Heart Association. Ventricular fibrillation is the only rhythm that offers a filtered option. Idle time can be reliably displayed for simulators where CPR is detected. CONCLUSIONS: When a primary learning objective for simulation-based training involves training on the ZOLL R Series defibrillator, there are a limited number of simulators and rhythms that can accurately represent its features.