Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Université du Québec...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
International Journal of Paramedicine
Article . 2024 . Peer-reviewed
License: CC BY SA
Data sources: Crossref
versions View all 1 versions
addClaim

Navigating Paramedics' Safety

Unraveling Factors in Emergency Service Vehicle Incidents
Authors: Milad Delavary; Mathieu Tremblay; Martin Lavallière;

Navigating Paramedics' Safety

Abstract

Background: Ambulance drivers are more likely to be involved in fatal or injury collisions compared to other professional drivers. Study Objective: This study is a retrospective study aimed to describe factors involved in paramedics’ collisions. Method: Spanning over 10 years of data (2010-2019) from a paramedic agency covering Montreal (Qc, Canada), links between the number of ambulance injuries and non-injury collisions and diverse characteristics like experience, sex, and age of paramedics, day and time of the collision, weather and surface conditions, type of environment, and type of driving activity. The distribution of characteristics involved in the severity of collisions is presented with descriptive analysis. The evaluation of trends of monthly and yearly ambulance collisions is conducted using the Mann-Kendal test. The logit model is also used to examine the effect of such factors on the odds of collision severity. Results: The results show although there is no significant reduction trend for the monthly ambulance collisions, the trend of incidence of annual non-injury collisions per paramedic is significantly decreasing. Also, young drivers with less experience are more involved in multiple collisions compared to their experienced colleagues. Furthermore, 62% of injury collisions happened when paramedics are responding to an emergency call. The logit model confirms a decrease in the odds of injury collisions (odds ratio: 0.48) during non-emergency activities. Also, intersections and traffic lights are the riskiest locations regarding injury collisions (43.5%, and 51%, respectively). In this case, collisions occurring at traffic lights can increase the odds of severity by 597%. Conclusion: This study exemplifies that preventive policy regarding paramedics (e.g., training programs) should focus on younger and less experienced paramedics, and risky locations, especially while driving on emergency calls. More oriented awareness and training programs for emergency respondents are required to reduce the number of work-related collisions.

Country
Canada
Keywords

Conducteurs d'ambulance, Accidents de la route, 380, Techniciens ambulanciers, Conductrices d'ambulances

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    1
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green
gold