Trevor Jain1, Aaron Sibley1, Henrik Stryhn2, Ives Hubloue3. 1. 1Division of Paramedicine,University of Prince Edward Island,Charlottetown,PEI,Canada. 2. 2Department of Health Management,University of Prince Edward Island,Charlottetown,PEI,Canada. 3. 3Department of Emergency Medicine,Universitair Ziekenhuis Brussel,Research Group in Emergency and Disaster Medicine,Vrije Universiteit Brussel,Brussel,Belgium.
Abstract
IntroductionThe proliferation of unmanned aerial vehicles (UAV) has the potential to change the situational awareness of incident commanders allowing greater scene safety. The aim of this study was to compare UAV technology to standard practice (SP) in hazard identification during a simulated multi-vehicle motor collision (MVC) in terms of time to identification, accuracy and the order of hazard identification. METHODS: A prospective observational cohort study was conducted with 21 students randomized into UAV or SP group, based on a MVC with 7 hazards. The UAV group remained at the UAV ground station while the SP group approached the scene. After identifying hazards the time and order was recorded. RESULTS: The mean time (SD, range) to identify the hazards were 3 minutes 41 seconds (1 minute 37 seconds, 1 minute 48 seconds-6 minutes 51 seconds) and 2 minutes 43 seconds (55 seconds, 1 minute 43 seconds-4 minutes 38 seconds) in UAV and SP groups corresponding to a mean difference of 58 seconds (P=0.11). A non-parametric permutation test showed a significant (P=0.04) difference in identification order. CONCLUSION: Both groups had 100% accuracy in hazard identification with no statistical difference in time for hazard identification. A difference was found in the identification order of hazards. (Disaster Med Public Health Preparedness. 2018;12:631-634).
RCT Entities:
IntroductionThe proliferation of unmanned aerial vehicles (UAV) has the potential to change the situational awareness of incident commanders allowing greater scene safety. The aim of this study was to compare UAV technology to standard practice (SP) in hazard identification during a simulated multi-vehicle motor collision (MVC) in terms of time to identification, accuracy and the order of hazard identification. METHODS: A prospective observational cohort study was conducted with 21 students randomized into UAV or SP group, based on a MVC with 7 hazards. The UAV group remained at the UAV ground station while the SP group approached the scene. After identifying hazards the time and order was recorded. RESULTS: The mean time (SD, range) to identify the hazards were 3 minutes 41 seconds (1 minute 37 seconds, 1 minute 48 seconds-6 minutes 51 seconds) and 2 minutes 43 seconds (55 seconds, 1 minute 43 seconds-4 minutes 38 seconds) in UAV and SP groups corresponding to a mean difference of 58 seconds (P=0.11). A non-parametric permutation test showed a significant (P=0.04) difference in identification order. CONCLUSION: Both groups had 100% accuracy in hazard identification with no statistical difference in time for hazard identification. A difference was found in the identification order of hazards. (Disaster Med Public Health Preparedness. 2018;12:631-634).
Entities:
Keywords:
EMS; UAV; mass casualty incidents; paramedics; situational awareness
Authors: Cristina Álvarez-García; Sixto Cámara-Anguita; José María López-Hens; Nani Granero-Moya; María Dolores López-Franco; Inés María-Comino-Sanz; Sebastián Sanz-Martos; Pedro Luis Pancorbo-Hidalgo Journal: PLoS One Date: 2021-05-11 Impact factor: 3.240
Authors: Anna M Johnson; Christopher J Cunningham; Evan Arnold; Wayne D Rosamond; Jessica K Zègre-Hemsey Journal: Open Access Emerg Med Date: 2021-11-16