Simulation is a valuable, immersive educational tool for both health professional trainees and experienced clinicians. By promoting a realistic, collaborative, safe, hands‐on, learning environment, simulation allows interprofessional teams to come together and practise both routine and high stakes, low‐frequency events. The COVID‐19 pandemic and the need for social distancing have shifted traditional simulation‐based medical education towards a virtual platform: telesimulation. Telesimulation is an evolving field and the speed at which clinical educators need to adapt to use this platform is unprecedented. Educators must quickly navigate and leverage the differences between traditional simulation and telesimulation to create robust remote educational experiences. Telesimulation has unique goals and objectives, technology needs, and participant roles that need to be understood and properly operationalized to maximize opportunities for learning. This article reviews the authors’ recommendations for developing and delivering successful telesimulations.

Neuropsychiatric symptoms and anxiety symptoms in particular are common in patients with MCI. In this sample anxiety for upcoming events and purposeless activity frequently co-occurred and were significant clinical predictors of earlier conversion to AD. However, these findings were not independent of cognitive status at baseline and therefore may be markers of severity rather than independent predictors of disease progression.

The quality of pediatric resuscitative care delivered across the spectrum of emergency departments (EDs) in the United States is poorly described. In a recent study, more than 4000 EDs completed the Pediatric Readiness Survey (PRS); however, the correlation of PRS scores with the quality of simulated or real patient care has not been described. OBJECTIVE To measure and compare the quality of resuscitative care delivered to simulated pediatric patients across a spectrum of EDs and to examine the correlation of PRS scores with quality measures. DESIGN, SETTING, AND PARTICIPANTS This prospective multicenter cohort study evaluated 58 interprofessional teams in their native pediatric or general ED resuscitation bays caring for a series of 3 simulated critically ill patients (sepsis, seizure, and cardiac arrest). MAIN OUTCOMES AND MEASURES A composite quality score (CQS) was measured as the sum of 4 domains: (1) adherence to sepsis guidelines, (2) adherence to cardiac arrest guidelines, (3) performance on seizure resuscitation, and (4) teamwork. Pediatric Readiness Survey scores and health care professional demographics were collected as independent data. Correlations were explored between CQS and individual domain scores with PRS. RESULTS Overall, 58 teams from 30 hospitals participated (8 pediatric EDs [PEDs], 22 general EDs [GEDs]). The mean CQS was 71 (95% CI, 68-75); PEDs had a higher mean CQS (82; 95% CI, 79-85) vs GEDs (66; 95% CI, 63-69) and outperformed GEDs in all domains. However, when using generalized estimating equations to estimate CQS controlling for clustering of the data, PED status did not explain a higher CQS (β = 4.28; 95% CI, −4.58 to 13.13) while the log of pediatric patient volume did explain a higher CQS (β = 9.57; 95% CI, 2.64-16.49). The correlation of CQS to PRS was moderate (r = 0.51; P < .001). The correlation was weak for cardiac arrest (r = 0.24; P = .07), weak for sepsis (ρ = 0.45; P < .001) and seizure (ρ = 0.43; P = .001), and strong for teamwork (ρ = 0.71; P < .001). CONCLUSIONS AND RELEVANCE This multicenter study noted significant differences in the quality of simulated pediatric resuscitative care across a spectrum of EDs. The CQS was higher in PEDs compared with GEDs. However, when controlling for pediatric patient volume and other variables in a multivariable model, PED status does not explain a higher CQS while pediatric patient volume does. The correlation of the PRS was moderate for simulation-based measures of quality.

There was no increase in triage accuracy when paramedics evaluating disaster victims used telemedicine, and telemedicine required more time than conventional triage. There are a number of obstacles to available technology that, if overcome, might improve the utility of telemedicine in disaster response.

Our results suggest that social media depictions of tobacco use predict future smoking tendency, over and above the influence of TV and movie depictions of smoking. This is the first known study to specifically assess the role of social media in informing tobacco behavior.