Differentiation between Motorcycle Riders and Passengers by Injury Characteristics in Lampang and Neighbouring Provinces

Authors

  • Kluakamkao G, Jinjiranun T, Komwatcharapong N, Kantiya W, Saentecha K,

Keywords:

Riders, Passengers, Motorcycle accident, Injury characteristics, Clinical Forensic medicine

Abstract

Background: Motorcycle accidents (MCA) occur very frequently and the numbers are increasing every year. Differentiation between rider and passenger of MCA victims can be important, although this is not possible in many cases which can affect the outcome of the case and the compensation by the insurance company. Knowledge about the comparison of rider and passenger injury characteristics in Thailand is limited. Objective: To compare rider and passenger MCA injury characteristics recorded at Lampang Hospital for admissions and deaths. Method: This retrospective cross-sectional analysis studied 908 MCA victims from January 2016 to December 2017. Data were collected from medical records and autopsies at Lampang Hospital and analyzed, comparing the characteristics of injuries in riders and passengers by multivariate logistic regression and ROC curve analysis. Results: The mean age was 35±19.56 years. Most of the riders were male (70.6%). The mean of The Glasgow Coma Scale in riders was lower (13.68 vs. 14.22, p = 0.023), and the mean of length of stay was longer than in passengers. Characteristics of the injuries in riders were significantly different from those in passengers, including injury to the elbow and forearm, injury to the wrist and hand, open wound of the head, fracture of the skull, facial bones, intracranial injury and any bone fracture. An analysis by multivariate logistic regression and backward elimination found four predictive factors, including male gender (AOR = 2.3, 95% CI 1.7-3.3, P-value < 0.001), elbow and forearm injury (AOR = 1.7, 95% CI 1.1-2.6, P-value=0.018), open wounds of the head(AOR = 1.9, 95%CI 1.2-2.8, P-value = 0.004) and any bone fracture (AOR = 1.6, 95% CI 1.2-2.3, P-value = 0.003). The predictive power to differentiate the rider is 67.03% (ROC area = 0.6703). Conclusion: The results suggest that predictive factors to identify the riders in a MCA could be male gender, elbow and forearm injury, open wound of the head and any bone fracture.

References

National Statistical Office. Land traffic accidents: Traffic accident notification reports classified by vehicle type, damage and guilty party. 2007 - 2015[Internet]. 2012 [cited 2018 Jun 7]. Available from: http://service.nso.go.th/nso/ web/statseries/statseries21.html

Office of Insurance Commission. Essence of essential car insurance [Internet]. 2018. [cited 2018 Jun 7]. Available from: http://www.oic.or.th/th/consumer/ Essence of essential car insurance.

Chichom-Mefire A, Atashili J, Tsiagadigui JG, Fon-Awah C, Ngowe-NgoweM. A prospective pilot cohort analysis ofcrash characteristics and pattern of injuries in riders and pillion passengers involved in motorcycle crashes in an urban area in Cameroon: lessons for prevention. BMC Public Health 2015;15:915.

Wick M, Müller EJ, Ekkernkamp A, Muhr G. The motorcyclist: easy rider or easy victim? An analysis of motorcycle accidents in Germany. Am J Emerg Med 1998; 16:320–3.

Zhao H, Chen R, Deng G, Yin Z, Yang G, Liu S, et al. Comparison of injuries sustained by drivers and pillion passengers in fatal head-on motorcycle collision accidents. Forensic Sci Int 2011; 207:188–92.

The Medical Council. Notice of The Medical Council 12/2012. Criteria for assessing the licensee to be a practitioner of medicine. [Internet]. 2012 [cited 2018 Jun 7]. Available from: https://www.tmc.or.th/file_08062012.pdf.

Department of Land Transport. The age of a person wishing to obtain a driver’s license. [Internet]. 2016 [cited 2018 Jun 7]. Available from: https://www.dlt.go.th/th/driving-license/ view.php?_did=78.

Fitzharris M, Dandona R, Kumar GA, Dandona L. Crash characteristics and patterns of injury among hospitalized motorised two-wheeled vehicle users in urban India. BMC Public Health 2009; 9:11.

Šimundić AM. Measures of Diagnostic Accuracy: Basic Definitions. EJIFCC 2009;19:203–11.

Department of Disease Control. Bureau of Epidemiology. Instruction manual for provincial injury surveillance. [Internet]. Bangkok: Bureau of Epidemiology, Department of Disease Control. 2007. [Internet]. [cited 2018 Jun 7]. Available from: http://www.wesr.moph.go.th/iswin/download/.

Downloads

Published

01-02-2019

How to Cite

1.
Kluakamkao G, Jinjiranun T, Komwatcharapong N, Kantiya W, Saentecha K,. Differentiation between Motorcycle Riders and Passengers by Injury Characteristics in Lampang and Neighbouring Provinces. J DMS [Internet]. 2019 Feb. 1 [cited 2024 Apr. 26];44(1):119-26. Available from: https://he02.tci-thaijo.org/index.php/JDMS/article/view/247037

Issue

Section

Original Article