Road traffic injuries: Cross-sectional cluster randomized countrywide population data from 4 low-income countries

2018 
Abstract Introduction Road traffic injuries (RTI) are a leading cause of morbidity and mortality around the world. The burden is highest in low and middle-income countries (LMICs) and is increasing. We aimed to describe the epidemiology of RTIs in 4 low-income countries using nationally representative survey data. Methods The Surgeons Overseas Assessment of Surgical Needs (SOSAS) survey tool was administered in four countries: Sierra Leone, Rwanda, Nepal and Uganda. We performed nationally representative cross-sectional, cluster randomized surveys in each country. Information regarding demographics, injury characteristics, anatomic location of injury, healthcare seeking behavior, and disability from injury was collected. Data were reported with descriptive statistics and evaluated for differences between the four countries using statistical tests where appropriate. Results A total of 13,765 respondents from 7115 households in the four countries were surveyed. RTIs occurred in 2.2% (2.0–2.5%) of the population and accounted for 12.9% (11.5–14.2%) of all injuries incurred. The mean age was 34 years (standard deviation ±1years); 74% were male. Motorcycle crashes accounted for 44.7% of all RTIs. The body regions most affected included head/face/neck (36.5%) followed by extremity fractures (32.2%). Healthcare was sought by 78% road injured; 14.8% underwent a major procedure (requiring anesthesia). Major disability resulting in limitations of work or daily activity occurred in 38.5% (33.0–43.9%). Conclusion RTIs account for a significant proportion of disability from injury. Younger men are most affected, raising concerns for potential detrimental consequences to local economies. Prevention initiatives are urgently needed to stem this growing burden of disease; additionally, improved access to timely emergency, trauma and surgical care may help alleviate the burden due to RTI in LMICs.
    • Correction
    • Source
    • Cite
    • Save
    • Machine Reading By IdeaReader
    32
    References
    19
    Citations
    NaN
    KQI
    []