Road traffic accidents (RTAs) remain a major public health concern worldwide and in Bangladesh, contributing significantly to injury, disability, and premature death. In resource limited settings like Bangladesh, it is crucial to understand the factors that influence survival following an RTA in order to develop effective prevention strategies and improve patient outcomes. Therefore, this study aims to determine the 30 day survival rate and identify predictors of survival among adult RTA victims treated at a tertiary care hospital in Bangladesh. The observational study will be carried out at Emergency and casualty department of Dhaka Medical College Hospital (DMCH) between October 2025 and March 2026. A total of 204 adults (≥18 years) presenting to the hospital's Casualty Department with RTA related injuries will be included. Informed written consent will be obtained from each patient or their legal guardian prior to enrollment. Data will be collected through structured face to face interviews, review of hospital records, and follow up on the 30th day of accident. The follow-up will be conducted either in person or by telephone. Variables will include patient demographics, accident circumstances, admission characteristics, injury pattern and severity, pre-hospital care, clinical condition at admission, hospital management provided, and treatment outcome. All data will be analyzed using SPSS version 25.0. Kaplan-Meier analysis will estimate survival probabilities, while Cox proportional hazards regression will be used to identify independent predictors of mortality. The findings of this study are expected to generate context-specific, evidence-based insights for strengthening trauma care protocols, gap related to emergency handling of the RTA patients, enhancing pre-hospital emergency services, and informing policy decisions aimed at reducing preventable RTA-related mortality and morbidity in Bangladesh.
Age range
18 Years
Sex
ALL
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Change in Goodman and Baron Acne Scar Grading (Quantitative and Qualitative)
Timeframe: Day 30 (prior to Session 2), Day 60 (prior to Session 3), and at the final follow-up visit on Day 150