Validation of select procedures, consultation and handovers in a simulated En route care environment

Abstract

This multi project study aimed to demonstrate what constitutes expert performance in an en route care environment for the skills cricothyroidotomy, fasciotomy, lateral canthotomy and cantholysis, and REBOA(Aims 1-2); what the is learning curve and durability of cricothyroidotomy and fasciotomy skill sets for non-surgical novices (EMTs, medical students, nurses) to be able to perform at expert levels (Aim3); and establish protocol for tele mentoring and handover criteria in en route care scenarios (Aim 4-5). Aims 1-3 for this study are in progress. Additionally, project 5, the study in Patient Handovers Major accomplishments in this reporting period include:Project 1: Ensuring subject return for the Cricothyroidotomy Durability study. The learning curve for all novices:Number of practice attempts to reach expert level = 7.9, SD=2.74Time (seconds) per practice iteration =35.75, SD=5.31Number of attempts in En Route Care environment =2.40, SD=.6367% of novices were able to perform at expert level in the first 2 consecutive attempts, all novices were able to perform at expert level within 4 attempts. A statistical analysis evaluating our secondary aims in the Cric-Learning curve study comparing medics and medical students is underway. No other major findings at this time.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2020
Accession Number
AD1117476

Entities

People

  • Alan Liu
  • Camilla Knott
  • Carmen Spalding
  • Eva Chou
  • James Zimmerman
  • Joseph Lopreiato
  • Mark Bowyer
  • Tyler Harris

Organizations

  • Uniformed Services University of the Health Sciences

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Arteries
  • Biomedical Research
  • Curriculum
  • Data Analysis
  • Education
  • Enlisted Personnel
  • Environment
  • Instructors
  • Learning
  • Lower Extremity
  • Maryland
  • Medical Personnel
  • Mentoring
  • Physicians
  • Professional Development
  • Resilience
  • Simulations
  • Standards
  • Statistical Analysis
  • Students
  • Technology Transfer
  • Training
  • Universities

Readers

  • Artificial Intelligence
  • Trauma or Military Medicine