Seat Belt Usage in Injured Car Occupants: Injury Patterns, Severity and Outcome After Two Main Car Accident Mechanisms in Kashan, Iran, 2012

Administrative data from trauma referral centers are useful sources while studying epidemiologic aspects of injuries. We aimed to provide a hospital-based view of injuries in Shiraz considering victims’ age and gender, using administrative data from trauma research center.A cross-sectional registry-based study of adult trauma patients (age ≥15 years) sustaining injury through traffic accidents, violence, and unintentional incidents was conducted. Information was retrieved from 3 hospital administrative databases. Data on demographics, injury mechanisms, injured body regions, and injury descriptions; outcomes of hospitalization; and development of nosocomial infections were recorded. Injury Severity Score (ISS) was calculated by crosswalking from ICD-10 (International Classification of Diseases) injury diagnosis codes to AIS-98 (Abbreviated Injury Scale) severity codes. Patients were compared based on age groups and gender differences.A total of 47,295 trauma patients with a median age of 30 (interquartile range: 24–44 years) were studied, of whom 73.1% were male and the remaining 26.9% were female (M/F = 2.7:1.0). The most common injury mechanisms in the male group were car and motorcycle accidents whereas females were mostly victims of falls and pedestrian accidents (P < .01). As age increased, a shift from transportation-related to unintentionally caused injuries occurred. Overall, young men had their most severe injuries on head, whereas elderly women suffered more severe extremity injuries. Injury severity was similar between men and women; however, elderly had a significantly higher ISS. Although incidence of nosocomial infections was independent of victims’ age and gender, elderly men had a significantly higher mortality rate.Based on administrative data from our trauma center, male gender and age >65 years are associated with increased risk of injury incidence, prolonged hospitalizations, and in-hospital death following trauma. Development of a regional trauma surveillance system may provide further opportunities for studying injuries and evaluating preventive actions.

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“…Finally, men are more prone to unsafe road practices including speeding, drinking while driving, and not using seatbelts. [ 21 – 23 ]…”

Section: Discussionmentioning

confidence: 99%

Injury patterns among various age and gender groups of trauma patients in southern Iran

et al. 2017

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“…In preceding years, studies from around the country have reported relatively higher sex ratios among car crash patients, which further signifies this decreasing trend. 12 , 13 , 14 This finding may be explained through the fact that over time, more women are actively involved in outdoor activities including driving and even driving as an occupation.…”

Section: Discussionmentioning

confidence: 99%

Analysis of Shahid Rajaee hospital administrative data on injuries resulting from car accidents in Shiraz, Iran: 2011–2014 data

Yadollahi

Ghiassee

Anvar

et al. 2017

Chinese Journal of Traumatology

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PurposeThe administrative data from trauma centers could serve as potential sources of invaluable information while studying epidemiologic features of car accidents. In this cross-sectional analysis of Shahid Rajaee hospital administrative data, we aimed to evaluate patients injured in car accidents in terms of age, gender, injury severity, injured body regions and hospitalization outcome in the recent four years (2011–2014).MethodsThe hospital registry was accessed at Shiraz Trauma Research Center (Shiraz, Iran) and the admission's unit data were merged with the information gathered upon discharge. A total number of 27,222 car accident patients aged over 15 years with International Classification of Diseases 10th revision (ICD-10) external causes of injury codes (V40.9-V49.9) were analyzed. Injury severity score and injured body regions were determined based on converting ICD-10 injury codes to Abbreviated Injury Scale (AIS-98) severity codes using a domestically developed electronic algorithm. A binary logistic regression model was applied to the data to examine the contribution of all independent variables to in-hospital mortality.ResultsMen accounted for 68.9% of the injuries and the male to female ratio was 2.2:1. The age of the studied population was (34 ± 15) years, with more than 77.2% of the population located in the 15–45 years old age group. Head and neck was the most commonly injured body region (39.0%) followed by extremities (27.2%). Injury severity score (ISS) was calculated for 13,152 (48.3%) patients, of whom, 80.9% had severity scores less than 9. There were 332 patients (1.2%) admitted to the intensive care units and 422 in-hospital fatalities (1.5%) were recorded during the study period. Age above 65 years [OR = 7.4, 95% CI (5.0–10.9)], ISS above 16 [OR = 9.1, 95% CI (5.5–14.9)], sustaining a thoracic injury [OR = 7.4, 95% CI (4.6–11.9)] and head injury [OR = 4.9, 95% CI (3.1–7.6)] were the most important independent predictors of death following car accidents.ConclusionHospital administrative databases of this hospital could be used as reliable sources of information in providing epidemiologic reports of car accidents in terms of severity and outcomes. Improving the quality of recordings at hospital databases is an important initial step towards more comprehensive injury surveillance in Fars, Iran.

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“…Previous studies evaluating intervention programs to increase seat-belt use, and reduce vehicle and road hazards have demonstrated benefit ( Mohammadzadeh, Paravar, Mirzadeh, Mohammadzadeh & Mahdian, 2015 ; Yang & Kim, 2003 ; Forjouh, 2003 ). One longitudinal and interventional controlled trial study in Iran revealed that due to the implementation of new traffic laws, the mortality and non-mortality injury rates reduced to 8.7% and 33.3%, respectively.…”

Section: Discussionmentioning

confidence: 99%

The Pattern of Road Traffic Crashes in South East Iran

Rad¹,

Martiniuk²,

Ansari‐Moghaddam³

et al. 2016

GJHS

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Background:In the present study, the epidemiologic aspects of road traffic crashes in South East of Iran are described.Methods:This cross-sectional study included the profile of 2398 motor vehicle crashes recorded in the police office in one Year in South East of Iran. Data collected included: demographics, the type of crash, type of involved vehicle, location of crash and factors contributing to the crash. Descriptive statistics were used for data analysis.Results:Collisions with other vehicles or objects contributed the highest proportion (62.4%) of motor vehicle crashes. Human factors including careless driving, violating traffic laws, speeding, and sleep deprivation/fatigue were the most important causal factors accounting for 90% of road crashes. Data shows that 41% of drivers were not using a seat belt at the time of crash. One- third of the crashes resulted in injury (25%) or death (5%).Conclusions:Reckless driving such as speeding and violation of traffic laws are major risk factors for crashes in the South East of Iran. This highlights the need for education along with traffic law enforcement to reduce motor vehicle crashes in future.

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Seat Belt Usage in Injured Car Occupants: Injury Patterns, Severity and Outcome After Two Main Car Accident Mechanisms in Kashan, Iran, 2012

Cited by 16 publications

References 20 publications

Injury patterns among various age and gender groups of trauma patients in southern Iran

Injury patterns among various age and gender groups of trauma patients in southern Iran

Analysis of Shahid Rajaee hospital administrative data on injuries resulting from car accidents in Shiraz, Iran: 2011–2014 data

The Pattern of Road Traffic Crashes in South East Iran

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