Background
The coronavirus disease (COVID-19) pandemic has disrupted medical education
for trainees of all levels. Although telesimulation was initially used to
train in resource-limited environments, it may be a reasonable alternative
for replicating authentic patient experiences for medical students during
the COVID-19 pandemic. It is unclear whether a more passive approach through
telesimulation training is as effective as traditional in-person simulation
training.
Objective
Our aim was to evaluate the effectiveness of in-person versus remote
simulation training on learners’ comfort with managing critical care
scenarios.
Methods
This was a prospective observational cohort study assessing the impact of an
in-person versus remote simulation course on volunteer fourth-year medical
students from February to April 2021 at the University of California San
Diego School of Medicine. Precourse and postcourse surveys were performed
anonymously using an online secure resource.
Results
In the in-person learners, there was statistically significant improvement in
learner comfort across all technical, behavioral, and cognitive domains. In
remote learners, there was a trend toward improvement in self-reported
comfort across technical and cognitive domains in the telesimulation course.
However, the only statistically significant improvement in postcourse
surveys of telesimulation learners, compared with baseline, was in running
codes. Regardless of the training modality, the students had a positive
experience with the critical care simulation course, ranking it, on average,
9.6 out of 10 (9.9 in in-person simulation vs. 9.3 in telesimulation;
P
= 0.06).
Conclusion
We demonstrated that implementation of a telesimulation-based simulation
course focusing on critical care cases is feasible and well received by
trainees. Although a telesimulation-based simulation course may not be as
effective for remote learners as active in-person participants, our study
provided evidence that there was still a trend toward improving provider
readiness across technical and cognitive domains when approaching critical
care cases.