Collaborative Interprofessional Health Science Student Led Realistic Mass Casualty Incident Simulation.
Deborah L McCreaRobert C CoghlanTiffany Champagne-LangabeerStanley CronPublished in: Healthcare (Basel, Switzerland) (2022)
In collaboration, a health science university and a fire department offered a mass casualty incident (MCI) simulation. The purpose of this study was to evaluate a cross-section of student health care providers to determine their working knowledge of an MCI. Students were given a pretest using the Emergency Preparedness Information Questionnaire (EPIQ) and the Simple Triage and Rapid Transport (START) Quiz. The EPIQ instrument related to knowledge of triage, first aid, bio-agent detection, critical reporting, incident command, isolation/quarantine/decontamination, psychological issues, epidemiology, and communications. The START Quiz gave 10 scenarios. Didactic online content was given followed by the simulation a few weeks later. A posttest with the same instruments was given after the simulation. Participants were majority female (81.7%), aged between 25-34 (41.7%), and 61.7% (n = 74) had undergraduate or post-graduate degrees. The overall pretest mean was 2.92 and posttest mean was 3.64. The START Quiz found participants struggled to correctly assign triage levels. Students also experienced challenges correctly assigning patients to specific triage categories. Findings will assist educators to understand knowledge gaps, so revisions can be made to enhance learning in disaster management. Concentration in proper field triage is also a needed focus.
Keyphrases
- healthcare
- emergency department
- public health
- medical education
- health information
- cardiovascular disease
- high school
- virtual reality
- patient reported outcomes
- mild cognitive impairment
- end stage renal disease
- ejection fraction
- loop mediated isothermal amplification
- newly diagnosed
- medical students
- social media
- prognostic factors
- patient reported
- patient safety
- depressive symptoms
- type diabetes
- risk factors
- climate change
- adverse drug
- light emitting