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The aim of this observational study is to compare the visual interests between residents in high-fidelity simulation practice
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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Success at the simulation | Participant could correctly set the pacing unit to obtain electrical and mechanical pacing of the mannequin in nine minutes. |
| |
| Failed the simulation | Participant could not correctly set the pacing unit to obtain electrical and mechanical pacing of the mannequin in nine minutes. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Simulation | Behavioral | A 9-minute scenario based on an ACLS bradycardia algorithm in which a high-fidelity mannequin requires external pacing |
|
| Measure | Description | Time Frame |
|---|---|---|
| Time to first fixation, Total visit time | Using eye-tracking technology, gaze date can be aggregate onto Areas of interest where data can be extrapolated. | During the scenario |
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Inclusion Criteria:
Exclusion Criteria:
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First-year medical residents from various specialties at Université de Montréal Simulation center
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| Name | Affiliation | Role |
|---|---|---|
| Issam Tanoubi, Dr | Université de Montreal | Study Director |
| Mathieu Tourangeau, Dr | Université de Montreal | Principal Investigator |
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| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 12564550 | Background | Duchowski AT. A breadth-first survey of eye-tracking applications. Behav Res Methods Instrum Comput. 2002 Nov;34(4):455-70. doi: 10.3758/bf03195475. | |
| 26834133 | Background | Turgeon DP, Lam EW. Influence of Experience and Training on Dental Students' Examination Performance Regarding Panoramic Images. J Dent Educ. 2016 Feb;80(2):156-64. |
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| 21359902 | Background | Wilson MR, McGrath JS, Vine SJ, Brewer J, Defriend D, Masters RS. Perceptual impairment and psychomotor control in virtual laparoscopic surgery. Surg Endosc. 2011 Jul;25(7):2268-74. doi: 10.1007/s00464-010-1546-4. Epub 2011 Feb 27. |
| 21037266 | Background | Schulz CM, Schneider E, Fritz L, Vockeroth J, Hapfelmeier A, Wasmaier M, Kochs EF, Schneider G. Eye tracking for assessment of workload: a pilot study in an anaesthesia simulator environment. Br J Anaesth. 2011 Jan;106(1):44-50. doi: 10.1093/bja/aeq307. Epub 2010 Oct 30. |
| 26455897 | Background | Browning M, Cooper S, Cant R, Sparkes L, Bogossian F, Williams B, O'Meara P, Ross L, Munro G, Black B. The use and limits of eye-tracking in high-fidelity clinical scenarios: A pilot study. Int Emerg Nurs. 2016 Mar;25:43-7. doi: 10.1016/j.ienj.2015.08.002. Epub 2015 Oct 9. |