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http://dx.doi.org/10.5762/KAIS.2020.21.7.616

Association Between Transport Accident Type And Mortality In Elderly Inpatients : Using Korean National Hospital Discharge In-depth Injury Survey Dataset  

Ryu, Han-Jun (Department of Health Administration, College of Health & Welfare, Dankook University)
Kang, Sun-Hee (Department of Medical Information Management, Kongju National University)
Boo, Yoo-Kyung (Department of Health Administration, College of Health & Welfare, Dankook University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.21, no.7, 2020 , pp. 616-624 More about this Journal
Abstract
This study analyzed the association between the type of transport accident and the associated mortality of elderly inpatients. The findings will contribute to the development and establishment of a systematic and effective policy according to the type of transport accident to reduce the mortality of inpatients. The data on elderly inpatients with transport accidents was extracted from the 2013-2017 Korean National Hospital Discharge In-depth Survey dataset. The data was analyzed by descriptive statistics analysis, chi-square tests and multiple logistic regression analysis. After adjustment for sociodemographic, disease, injury and policy factors, the elderly inpatient deaths due to transport accidents were significantly higher for pedestrian accidents (OR: 2.522 95%, CI: 1.291-4.972), bicycle/cart accidents (OR: 2.809, 95% CI: 1.328-5.942) and motorcycle accidents (OR: 2.330, 95% CI: 1.226-4.819) rather than that for car accidents. Likewise, elderly inpatients have a higher risk of death from other types of transport accidents than those caused by car accidents. However, Korean policies related to transport accidents of elderly inpatients are concentrated on car accidents. Effective policy is needed according to the characteristics of each type of transport accident to reduce the transport accident mortality of elderly inpatients.
Keywords
Transport accident type; Mortality; Elderly inpatients; Traffic policy; National hospital discharge dataset;
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