Citation

Wang CH, Hsieh WH, Liang FW, Lu TH. Inj. Epidemiol. 2018; 5(1): e22.

Affiliation

Department of Public Health, College of Medicine, National Cheng Kung University, No. 1, Dah Hsueh Road, Tainan, 701, Taiwan. robertlu@mail.ncku.edu.tw.

Copyright

(Copyright © 2018, The author(s), Publisher Holtzbrinck Springer Nature Publishing Group - BMC)

DOI

10.1186/s40621-018-0154-y

PMID

29682683

Abstract

BACKGROUND: Although many epidemiological studies have presented road traffic injuries (RTIs) according to the victim's mode of transport, very few have mentioned the mode of transport of the victim's counterparts. We sought to use matrix frame to present the pattern of RTIs based on the International Classification of Diseases, Tenth Revision (ICD-10) codes.

METHODS: Patients admitted to Hualien Tzu Chi Hospital, Taiwan, for RTIs from January 1, 2013 to December 31, 2016 were included. The numbers and proportions of various crash types of RTIs were presented using a matrix frame. The row margin of the matrix is the second character of ICD-10 codes V00-V79 (victim's mode of transport), and the column margin of the matrix is the third character of ICD-10 codes V00-V79 (mode of transport of victim's counterpart), constituting a 80-cell grid.

RESULTS: In total, 2727 patients were included. The cell with the highest proportion in the matrix grid was ICD-10 code V23 "motorcycle rider injured in collision with car, pick-up truck or van" (27.0%, 737/2727), followed by that of V27 "motorcycle rider injured in collision with fixed or stationary object" (12.5%, 342/2727) and V28 "motorcycle rider injured in noncollision transport accident" (12.2%, 334/2727). The matrix pattern of RTIs differed with sex and age.

CONCLUSIONS: By using the matrix frame, we can easily understand the RTI pattern for different demographic groups and identify the priority crash types.

Language: en

Keywords

Epidemiology; Pattern of injury; Road traffic injuries; Transport accidents