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Clinical Trials/NCT03049098
NCT03049098
Completed
Not Applicable

Visual Perception Exploration Using Eye-tracking Technology in High-fidelity Medical Simulation

Issam Tanoubi0 sites21 target enrollmentJuly 14, 2016

Overview

Phase
Not Applicable
Intervention
Not specified
Conditions
Simulation Training
Sponsor
Issam Tanoubi
Enrollment
21
Primary Endpoint
Time to first fixation, Total visit time
Status
Completed
Last Updated
9 years ago

Overview

Brief Summary

The aim of this observational study is to compare the visual interests between residents in high-fidelity simulation practice

Detailed Description

Eighteen first year residents were asked to take part in a nine-minute scenario based on an ACLS bradycardia algorithm in which a high-fidelity mannequin required external pacing. The scenario was considered a success if the material was correctly set by the participant to obtain electrical and mechanical pacing in nine minutes. All participants were wearing Tobii Glasses® which is a mobile eye-tracking system that automatically aggregates gaze data. Infrared markers were placed in the simulation room to create Area of Interest (AOI), from which results were obtained. Three AOI were created: the vital signs monitor, the defibrillator/pacing unit and the head of the patient. Eye-tracking data were analyzed using the Tobii Studio® program.

Registry
clinicaltrials.gov
Start Date
July 14, 2016
End Date
January 25, 2017
Last Updated
9 years ago
Study Type
Observational
Sex
All

Investigators

Sponsor
Issam Tanoubi
Responsible Party
Sponsor Investigator
Principal Investigator

Issam Tanoubi

Université de Montréal

Université de Montréal

Eligibility Criteria

Inclusion Criteria

  • First-year residents from various specialties in their first three weeks of training

Exclusion Criteria

  • Underwent a previous residency
  • Attending physicians in another country

Outcomes

Primary Outcomes

Time to first fixation, Total visit time

Time Frame: During the scenario

Using eye-tracking technology, gaze date can be aggregate onto Areas of interest where data can be extrapolated.

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