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Objectives: To determine the impact of telementoring on caregiver performance during a high-fidelity medical simulation model (HFMSM) of a critically ill patient in a resource-limited setting., Design: A two-center, randomized, controlled study using a HFMSM of a patient with community-acquired pneumonia complicated by acute respiratory distress syndrome., Setting: A notional clinic in a remote location staffed by a single clinician and nonmedical assistant., Participants: Clinicians with limited experience managing critically ill patients., Interventions: Telemedicine (TM) support., Measurements: The primary outcome was clinical performance as measured by accuracy, reliability, and efficiency of care. Secondary outcomes were patient survival, procedural quality, subjective assessment of the HFMSM, and perceived workload., Main Results: TM participants ( N = 11) performed better than non-TM (NTM, N = 12) in providing expected care (accuracy), delivering care more consistently (reliability), and without consistent differences in efficiency (timeliness of care). Accuracy: TM completed 91% and NTM 42% of expected tasks and procedures. Efficiency: groups did not differ in the mean (± sd) minutes it took to obtain an advanced airway successfully (TM 15.2 ± 10.5 vs. NTM 22.8 ± 8.4, p = 0.10) or decompress a tension pneumothorax with a needle (TM 0.7 ± 0.5 vs. NTM 0.6 ± 0.9, p = 0.65). TM was slower than NTM in completing thoracostomy (22.3 ± 10.2 vs. 12.3 ± 4.8, p = 0.03). Reliability: TM performed 13 of 17 (76%) tasks with more consistent timing than NTM. TM completed 68% and NTM 29% of procedural quality metrics. Eighty-two percent of the TM participants versus 17% of the NTM participants simulated patients survived ( p = 0.003). The groups similarly perceived the HFMSM as realistic, managed their patients with personal ownership, and experienced comparable workload and stress., Conclusions: Remote expertise provided with TM to caregivers in resource-limited settings improves caregiver performance, quality of care, and potentially real patient survival. HFMSM can be used to study interventions in ways not possible with real patients.

This study had three aims: 1) quantify the difference in stress levels between low and high stress roles during simulated critical communication encounters using objective physiologic data (heart rate variability [HRV]) and subjective measures (State-Trait Anxiety Inventory [STAI]), 2) define the relationship between subjective and objective measures of stress, and 3) define the impact of trainee preparedness and reported self-efficacy on stress levels., Design: Mixed methods simulation-based study., Setting: Single center., Patients: Pediatric critical care fellows and faculty ( n = 12)., Interventions: Subjects participated in six simulated scenarios in both high stress "hot seat" and low stress "observer" roles., Measurements and Main Results: Subjective stress was measured using the STAI at baseline and after each scenario. Objective stress was measured continuously using a wearable biometric device measuring HRV. Previous residency communication training and self-confidence surrounding various communication topics were collected via questionnaire. Significant changes in subjective (STAI) and objective stress (HRV) measurements in the low- versus high-stress roles were observed. STAI scores increased 8 points during low stress and 12 points during high stress role ( p = 0.021) compared with baseline. Two specific HRV markers, root mean square of successive differences between normal heartbeats, a marker of parasympathetic tone, and the low frequency/high frequency (LF/HF) ratio, a marker of sympathetic activation, were significantly correlated with STAI levels (-0.032, p = 0.001; 1.030, p = 0.002, respectively). Participants who reported increased confidence in discussing code status had a significant decrease in stress response (measured via LF/HF ratio) during both the observer ( p = 0.033) and hot seat roles ( p = <0.001)., Conclusions: Communicating life-altering news in a simulated environment is a stressful experience. This stress results in physiologic changes that can be measured continuously using HRV. HRV measurement may serve as a novel method in evaluating the effectiveness of communication training programs and measuring future stress-reduction interventions., Competing Interests: The authors have disclosed that they do not have any potential conflicts of interest., (Copyright © 2022 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of the Society of Critical Care Medicine.)

Most high-fidelity medical simulation is of limited duration, used for education and training, and rarely intended to study medical technology. U.S. caregivers working in prehospital, resource-limited settings may need to manage patients for extended periods (hours to days). This "prolonged casualty care" occurs during military, wilderness, humanitarian, disaster, and space medicine. We sought to develop a standardized simulation model that accurately reflects prolonged casualty care in order to study caregiver decision-making and performance, training requirements, and technology use in prolonged casualty care., Design: Model development., Setting: High-fidelity simulation laboratory., Subjects: None., Interventions: We interviewed subject matter experts to identify relevant prolonged casualty care medical challenges and selected two casualty types to further develop our model: a large thermal burn model and a severe hypoxia model. We met with a multidisciplinary group of experts in prolonged casualty care, nursing, and critical care to describe how these problems could evolve over time and how to contextualize the problems with a background story and clinical environment with expected resource availability. Following initial scenario drafting, we tested the models with expert clinicians. After multiple tests, we selected the hypoxia model for refinement and testing with inexperienced providers. We tested and refined this model until two research teams could proctor the scenario consistently despite subject performance variability., Measurements and Main Results: We developed a 6-8-hour simulation model that represented a 14-hour scenario. This model of pneumonia evolved from presentation to severe hypoxia necessitating advanced interventions including airway, breathing, and shock management. The model included: context description, caregiver orientation scripts, hourly progressive physiology tracks corresponding to caregiver interventions, intervention/procedure-specific physiology tracks, intervention checklists, equipment lists, prestudy checklists, photographs of setups, procedure, telementor, and role player scripts, business rules, and data collection methods., Conclusions: This is the first standardized, high-fidelity simulation model of prolonged casualty care described in the literature. It may be used to assess caregiver performance and patient outcomes resulting from that performance during a complex, 14-hour prolonged casualty care scenario. Because it is standardized, the model may be used to compare differences in the impact of new technologies upon caregiver performance and simulated patient outcomes.., (Copyright © 2021 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of the Society of Critical Care Medicine.)

Extracorporeal membrane oxygenation-related complications are potentially catastrophic if not addressed quickly. Because complications are rare, high-fidelity simulation is recommended as part of the training regimen for extracorporeal membrane oxygenation specialists. We hypothesized that the use of standardized checklists would improve team performance during simulated extracorporeal membrane oxygenation emergencies., Design: Randomized simulation-based trial., Setting: A quaternary-care academic hospital with a regional extracorporeal membrane oxygenation referral program., Subjects: Extracorporeal membrane oxygenation specialists and other healthcare providers., Interventions: We designed six read-do checklists for use during extracorporeal membrane oxygenation emergencies using a modified Delphi process. Teams of two to three providers were randomized to receive the checklists or not. All teams then completed four simulated extracorporeal membrane oxygenation emergencies., Measurements and Main Results: Simulation sessions were video-recorded, and the number of critical tasks performed and time-to-completion were compared between groups. A survey instrument was administered before and after simulations to assess participants' attitudes toward the simulations and checklists. We recruited 36 subjects from a single institution, randomly assigned to 15 groups. The groups with checklists completed more critical tasks than participants in the control groups (90% vs 75%; p < 0.001). The groups with checklists performed a higher proportion of both nontechnical tasks (71% vs 44%; p < 0.001) and extracorporeal membrane oxygenation-specific technical tasks (94% vs 86%; p < 0.001). Both groups reported an increase in reported self-efficacy after the simulations (p = 0.003). After adjusting for multiple comparisons, none of the time-to-completion measures achieved statistical significance., Conclusions: The use of checklists resulted in better team performance during simulated extracorporeal membrane oxygenation emergencies. As extracorporeal membrane oxygenation use continues to expand, checklists may be an attractive low-cost intervention for centers looking to reduce errors and improve response to crisis situations., Competing Interests: Since the work was completed, Ms. Hodge has accepted a position with VERO Biotech, who were not involved in any way with this study. The remaining authors have disclosed that there are no potential conflicts of interest., (Copyright © 2021 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of the Society of Critical Care Medicine.)