TY - JOUR
T1 - Using matrix frame to present road traffic injury pattern
AU - Wang, Chien Hsing
AU - Hsieh, Wan Hua
AU - Liang, Fu Wen
AU - Lu, Tsung Hsueh
N1 - Funding Information:
The authors thank Ms. Pai-Huan Lin for data visualization.
Publisher Copyright:
© 2018, The Author(s).
PY - 2018/12
Y1 - 2018/12
N2 - 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.
AB - 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.
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U2 - 10.1186/s40621-018-0154-y
DO - 10.1186/s40621-018-0154-y
M3 - Article
AN - SCOPUS:85087147709
SN - 2197-1714
VL - 5
JO - Injury Epidemiology
JF - Injury Epidemiology
IS - 1
M1 - 22
ER -