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

Abstract

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.

Patient and injury characteristics associated with road traffic mortality in general hospitals in southern Thailand

“…The risk of road traffic mortality increased with age. The result matches the findings from several studies [30][31][32][33][34]. This result may be explained by the deterioration in health with aging.…”

Unintentional injuries: A profile of hospitalization and risk factors for in-hospital mortality in Beijing, China

“…Legislation on seatbelt, helmet and child restraint use needs to be improved in China. The sex ratio of patients sustaining transport accidents was 1.61:1, which is lower than the ratios reported in Iran (2.2:1) and Romania (2.0:1) [9,37]. This difference may be explained by the more active participation of Chinese women in driving-related and outdoor activities than women in the other countries.…”

“…Studies of nonfatal UIs are an important part of the overall picture of UIs [6,7]. Although much is known about fatal injuries via the vital registry system, there are limited data on nonfatal injuries in LMICs, with most information being based on questionnaire surveys and trauma registries or focused on a select group of injuries or population [8][9][10][11][12]. Although the National Injury Surveillance System (NISS) was built in China since 2006, it includes only 126 hospitals with limited representation and collects information using hard-copy forms, which leads to poor availability of real-time data [13].…”

Investigating Inequalities in Access to Healthcare: The Case of Townships of Kermanshah, Iran

“…The results of their research revealed that among 30 provinces of Iran, 12 were developed, nine were semi-developed, and nine were underdeveloped, in their categorization, Kermanshah Province was among the semi-developed provinces [33]. Studies conducted in Kermanshah the high significant rates for HIV/AIDS [34], cancer [35], cardiovascular diseases [36], accidents [37], high total fertility rates [38], and inadequate access to health centers [11].such evidences revealed the need for assessing healthcare resources and surviving the access to these cares. Since increasing the level of health and easy access to medical care are among the most prominent needs in development plans and considering the fact that the Kermanshah Province is one of the deprived provinces of Iran and given the prevalence of the above mentioned challenges in Kermanshah, this paper aimed to investigate the inequality in access to medical care in the townships based in Kermanshah, Iran according to population density.…”