Immersive Modular Preparedness Intelligent Tutor (IMPRINT)

NIH Pandemic-Era Grants

Pandemic Era Grants

2020

Document text

Principal Investigator: Austin  Crumpton
Organization: CHARLES RIVER ANALYTICS, INC.
Fiscal Year: 2020
Award: $99,892
Funding agency: National Institute of Environmental Health Sciences

Project Summary/Abstract
 The novel coronavirus (SARS-CoV-2) highlights urgent training needs for the emergency first responder
community. In response to the ongoing COVID-19 pandemic, the Boston Fire Department (BFD) has reported
an increased frequency of firehouse cleaning and decontamination activities; however, there may be substantial
variability in decontamination protocol adherence across firehouses and personnel following responses to
service calls during the pandemic. This is due to deeply ingrained decontamination trained behaviors and a lack
of available and effective training resources, ultimately increasing the risk of COVID transmission. Improper
decontamination between service calls increases firefighter and emergency medical services (EMS) risk of
exposure especially in circumstances of complex disasters. Therefore, the first responder community requires a
means of ensuring consistent and thorough decontamination procedures are followed by personnel.
 In response to the current pandemic, the National Institute of Environmental Health Sciences (NIEHS)
Worker Training Program (WTP) is developing a series of PowerPoint slides to address emerging training needs
[1]. Charles River Analytics and our partner, Lt. Michael Kates of the Boston Fire Department, propose to extend
the approach funded under the parent grant (Immersive Modular Preparedness Intelligent Tutor (IMPRINT);
R43ES031818-01) to adapt and improve this training. Specifically, we will adapt materials developed by the WTP
and other organizations (e.g., CDC, OSHA, BFD) into a training course focused on decontamination for
emergency first responders. This supplemental work will include the development of complementary, interactive
VR-based training modules that provide individuals and small groups the opportunity to demonstrate
understanding and proficiency. Furthermore, the VR presentation of individual and small group activities
encourages active trainee participation and engagement while enabling emergency response training
organizations to provide distributed training. Distribution of training is critical to enable social distancing. Using
IMPRINT's virtual environment, trainees will not have to be collocated to participate in small group activities. This
will provide the emergency first responder community a means of conducting crucial training while avoiding large
group gatherings. Finally, we propose to develop an evaluation process to measure training acceptability and
effectiveness.

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