Characteristics of Paramedics’ Collisions in a Metropolitan Area of Quebec - a Bayesian Network Analysis - August 2021

Sep 19, 2026

Uploaded by Jasmine

Bayesian Network modeling is used to characterize paramedics’ collisions in a metropolitan area of Quebec, drawing on collision data collected in 2010–2012 from U.S. and SAAQ-Montréal sources. The study examines key features including paramedics’ experience, gender, and age, and compares injury versus non-injury outcomes per paramedic. It also contrasts reporting differences between U.S. data and SAAQ by counting injuries reported, not reported, and less-informative categories.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages21

Reading Time53 min

AccessFree to download

Objectives

Characteristics to analyze

Methodology

Data collection and preparation

Bayesian network modeling

Data and descriptive analysis

Injury vs non-injury trends

Comparison between U.S. data and SAAQ

Distribution by liability and participant factors

Collision context: road surface, location, signalization, seatbelt usage

Characteristics of Paramedics’ Collisions in a Metropolitan Area of Quebec: a Bayesian Network Analysis Milad Delavary1 , Luc de Montigny2 , Mathieu Tremblay3 , Hector Ignacio Castellucci4 , Martin Lavallière 1* 1 Département des sciences de la santé, Université du Québec à Chicoutimi (UQAC), Chicoutimi (QC), 2 Urgences-santé, Montréal (QC), 3 Département des sciences de la santé, Université du Québec à Rimouski (UQAR), Rimouski (QC), 4 Facultad de Medicina, Universidad de Valparaíso, Valparaiso, Chile Image Source August 2021 Image Source Problematics Paramedics’Collisions PAGE 1 Road Collision Statistics ▪Canadian Motor Vehicle Mortalities = 1,762 in 2019 (9.1% reduction from 2018 (1,939)) ▪2% of all workers involved in road collisions lead to 25%-30% of total mortalities from 2000 to 2008 in Quebec workplaces. 25–35-year-old workers exhibited 28% of these total cases. ▪The risks for paramedics are five times higher than for other drivers. ▪Paramedics’ Collisions in Montreal resulted in 64 injuries and 1402 noninjuries between 2010 and 2012. ▪ References: ▪ Transport Canada. Canadian Motor Vehicle Traffic Collision Statistics. 2018 ▪ Bellavance, F., Duguay, P, pignatelli, S., Road Accidents at Work-an overview. 2016: Quebec. ▪ Société de l'assurance automobile du Québec. ROAD SAFETY RECORD. 2020 PAGE 2 Image Source Objectives Characteristics of Paramedics’Collisions; paramedics’ experience, gender, age. Bayesian Network (BN) analysis and Retrospective study, between 2010 to 2012. PAGE 3 Image Source Methodology Data Collection, Preparation and Descriptive Analysis Bayesian Network Modeling PAGE 4 Data Collisions collected from U-s and SAAQ-Montréal, Canada, from 2010 to 2012 . Number of Injured People 600 500 400 300 200 100 0 | 502473 | | | | --- | --- | --- | | 427 | | | | | | | | | | | | | | | | 26 | 24 | 14 | | | | | 2010 2011 2012 Years Non-Injury Injury Fig 1: Number of Injury and Non-Injury Number of injured peop le per paramedic 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0 | | 0.58 | 0.58 | | --- | --- | --- | | 0.52 | | | | | | | | | | | | | | | | | | | | | | | 2010 2011 2012 Years Number of Non-Injuries per paramedic Number of Injuries per paramedic Fig 2: Incidence of Injury and Non-Injury Comparison of U-s data to SAAQ: Number of Injuries Reported equal to SAAQ = 11 (out of 64) Number of Injuries Reported less than SAAQ = 32 (out of 64) Number of Injuries Not Reported = 15 (out of 64) Less interesting Categories = 6 (out of 64) PAGE 5 Data Description Percentage 90 80 70 60 50 40 30 20 10 0 Yes No Shared Liability Females involved in Collisions Males involved in Collisions Percentage 90 80 70 60 50 40 30 20 10 0 Yes No Shared Liability Drivers Less than 25 years old Drivers Between 25 and 45 years old Drivers More than 45 years old Percentage 80 70 60 50 40 30 20 10 0 Yes No Shared Liability Drivers Less than 10000 hours experience Drivers More than 10000 hours experience Fig 3: Percentage of Females and Males vs Categories of Liability Fig 4: Percentage of Drivers in Different Ages vs Categories of Liability Fig 5: Percentage of Drivers in Different Experiences vs Categories of Liability PAGE 6 Data Description Percentage 100 90 80 70 60 50 40 30 20 10 0 Yes No Shared Liability Percentage Dry Wet Snowy and Icy 100 90 80 70 60 50 40 30 20 10 0 Yes No Shared Liability Waiting areas Operational centers Hospital Fig 6: Percentage of Different Road Surface States vs Categories of Liability Fig 7: Percentage of Different Collision Locations vs Categories of Liability PAGE 7 Data Description Percentage 80 70 60 50 40 30 20 10 0 Yes No Shared Liability None Street light Green li

FAQs

What is the main objective of the analysis?

To characterize paramedics’ collisions in a metropolitan area of Quebec by analyzing paramedics’ experience, gender, and age, using Bayesian Network analysis and a retrospective study for 2010–2012.

What data sources and time period are used?

Collisions are collected from U-s and SAAQ-Montréal, Canada, covering the years 2010 to 2012.

How does the document compare injuries between U-s and SAAQ?

It reports counts of injuries where U-s equals SAAQ, where U-s reports fewer injuries than SAAQ, and where injuries are not reported, based on 64 total injuries.

Sep 19, 2026

Uploaded by Jasmine