Factors associated with prehospital death among traffic accident patients in Osaka City, Japan: A population-based study

Traffic Inj Prev. 2018 Jan 2;19(1):49-53. doi: 10.1080/15389588.2017.1347645. Epub 2017 Jun 28.

Abstract

Objective: Although it is important to assess the factors associated with traffic accident fatalities to decrease them as a matter of public health, such factors have not been fully identified.

Methods: Using a large-scale data set of ambulance records in Osaka City, Japan, we retrospectively analyzed all traffic accident patients transported to hospitals by emergency medical service personnel from 2013 to 2014. In this study, prehospital death was defined as that occurring at the scene or in the emergency department immediately after hospital arrival. We assessed prehospital factors associated with prehospital death due to traffic accidents by logistic regression models.

Results: This study enrolled 28,903 emergency patients involved in traffic accidents, of whom 68 died prehospital. In a multivariate model, elderly patients aged ≥75 years (adjusted odds ratio [AOR] = 4.34; 95% confidence interval [CI], 2.29-8.23), nighttime (AOR = 2.75; 95% CI, 1.65-4.70), and type of injured person compared to bicyclists such as pedestrians (AOR = 9.58; 95% CI, 5.07-17.99), motorcyclists (AOR = 2.75; 95% CI, 1.21-6.24), and car occupants (AOR = 2.98; 95% CI, 1.39-6.40) were significantly associated with prehospital death due to traffic accidents. In addition, the AOR for automobile versus nonautomobile as the collision opponent was 4.76 (95% CI, 2.30-9.88).

Conclusions: In this population, the factors associated with prehospital death due to traffic accidents were elderly people, nighttime, and pedestrian as the type of patient. The proportion of prehospital deaths due to traffic accidents was also high when the collision component was an automobile.

Keywords: Elderly; epidemiology; fatality; pedestrian; traffic accident.

MeSH terms

  • Accidents, Traffic / mortality*
  • Adolescent
  • Adult
  • Aged
  • Child
  • Child, Preschool
  • Female
  • Humans
  • Infant
  • Infant, Newborn
  • Japan / epidemiology
  • Male
  • Middle Aged
  • Retrospective Studies
  • Risk Factors
  • Young Adult