Epidemiology of Urban Traffic Accident Victims Hospitalized More Than 24 Hours in a Level III Trauma Center, Kashan County, Iran, During 2012-2013
- PMID: 26101765
- PMCID: PMC4475338
- DOI: 10.5812/atr.4(2)2015.28465
Epidemiology of Urban Traffic Accident Victims Hospitalized More Than 24 Hours in a Level III Trauma Center, Kashan County, Iran, During 2012-2013
Abstract
Background: Urban traffic accidents are an extensively significant problem in small and busy towns in Iran. This study tried to explore the epidemiological pattern of urban traffic accidents in Kashan and Aran-Bidgol cities, Iran.
Objectives: This study aimed to assess various epidemiological factors affecting victims of trauma admitted to a main trauma center in Iran.
Patients and methods: During a retrospective study, data including age, sex, injury type and pattern, outcome, hospital stay and treatment expenditures regarding urban Road Traffic Accidents (RTAs) for one year (March 2012-March 2013) were obtained from the registry of trauma research center, emergency medical services and deputy of health of Kashan University of Medical Sciences. One-way ANOVA and chi-square tests were used to analyze data using SPSS version 16.0. P value < 0.05 was considered significant.
Results: A total of 1723 victims (82.6% male, sex ratio of almost 5:1) were considered in this study. Mortality rate in trauma cases hospitalized more than 24 hours during our study was 0.8%. Young motorcyclist men with the rate of more than 103 per 10000 were the most vulnerable group. The most common injury was head injury (73.6%) followed by lower limb injury (33.2%). A significant association was found between mechanism of injury and head, lower limb, multiple injuries and high risk age group.
Conclusions: Urban RTAs are one of the most important problems in Kashan and Aran-Bidgol cities, which impose a great economic burden on health system. Motorcyclists are the most vulnerable victims and multiple trauma and head injury are seen among them extensively.
Keywords: Accidents; Epidemiology; Injury; Traffic.
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References
-
- Wikipedia. Urbanization by country. 2015 Available from: http://en.wikipedia.org/wiki/Urbanization.
-
- UNICEF. Road Traffic Injuries in Iran and their Prevention, A Worrying Picture. 2012 Available from: http://www.unicef.org/iran/media_4783.html.
-
- Rastogi D, Meena S, Sharma V, Singh GK. Epidemiology of patients admitted to a major trauma centre in northern India. Chin J Traumatol. 2014;17(2):103–7. - PubMed
-
- Moafian G, Aghabeigi MR, Heydari ST, Hoseinzadeh A, Lankarani KB, Sarikhani Y. An epidemiologic survey of road traffic accidents in Iran: analysis of driver-related factors. Chin J Traumatol. 2013;16(3):140–4. - PubMed
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