Healthcare costs of road injuries in Saudi Arabia: A quantile regression analysis.

BACKGROUND: Road traffic injuries (RTIs) are the second leading cause of death in Saudi Arabia. Their economic burden is significant but poorly quantified, as limited literature exists locally. We aim to estimate the impact of RTIs on healthcare costs. METHODS: We included all patients from the hospital's trauma registry for the year 2017 (n = 381). Due to the availability of data, the analysis focused only on direct medical costs incurred during the hospitalization period. We computed the components of hospitalization costs and evaluated the association between patient and RTI characteristics and total hospitalization costs (the average and median) using quantile and log-linear regression techniques respectively. RESULTS: Patients were relatively young with an average age of 31 years (SD ± 14.6). Overall, patients treated for RTIs cost the hospital around 77,657 Saudi Riyal (SAR) on average. Pedestrian injuries incurred the highest costs. Motor vehicle injuries accounted for the highest procedure-related costs (SAR 19,537). The quantile regressions results suggest that Glasgow coma scale (GCS), admission to intensive care unit (ICU), and hospital length of stay were significantly associated with an increase in hospitalization cost. Hospital home disposition was however, associated with a decrease in cost. One additional day of stay in the hospital increases total hospitalization cost by SAR 3,508. Additionally, the log-linear showed injury severity score (ISS < 16) was associated with a 20% decrease in the geometric mean of the hospitalization costs (p < 0.001). CONCLUSIONS: This study underlines the economic burden of RTIs in addition to their impact on population health. The findings may be used to inform policymakers, researchers, and the public about the increasing burden of traffic crashes in the Kingdom. Public health interventions are warranted to reduce the severity and frequency of RTIs in order to improve traffic safety and reduce associated healthcare costs.

The incidence and predictors of pneumothorax among trauma patients in Saudi Arabia. Findings from a level-I trauma center.

OBJECTIVES: To investigate the incidence and predictors of traumatic pneumothorax using data from a Level-I trauma center in Riyadh, Saudi Arabia. METHODS: This is a retrospective chart-review study carried out in King Abdulaziz Medical City, Riyadh, Saudi Arabia. Data were extracted from the hospital's trauma registry (2016-2018). A total of 2,109 trauma patients were included. Inclusion criteria were patients ≥16 years  old admitted for a traumatic injury. Variables included patient demographics, transport mode, trauma team activation, mechanism of injury, mortality rate, Glasgow Coma Scale and Injury Severity Scores. A logistic regression analysis was constructed to evaluate potential predictors of pneumothorax. Results: Of 2,109 patients included from the trauma registry, 236 (11.2%) were diagnosed with pneumothorax. The majority of the study population was young (19-49 years) (60.7%) and male (79.4%.) Injury mechanism was significantly associated with the presence of pneumothorax (p greater than 0.001). Regression analysis indicated that the odds of having pneumothorax among intentional injury victims was 15 times higher than fall injury victims (OR=15.3, 95% CI= 7.2-32.9). Participants who sustained motor vehicle collision injuries had 3 times higher odds of developing pneumothorax than those who suffered fall injuries (OR=3.1, 95% CI= 1.5-6.1). Conclusion: The incidence of traumatic pneumothorax is sizable and highly associated with the mechanism of injury. Efforts to reduce motor vehicle collision burden should be directly associated with decreasing the burden of traumatic pneumothorax.