Road Traffic Injuries: A Study on Severity and Outcome among Inpatients of a Tertiary Care Level Hospital of West Bengal, India
- PMID: 30568366
- PMCID: PMC6262659
- DOI: 10.4103/JETS.JETS_138_17
Road Traffic Injuries: A Study on Severity and Outcome among Inpatients of a Tertiary Care Level Hospital of West Bengal, India
Abstract
Background: Road traffic injuries (RTIs) are a complex phenomenon caused by nonlinear combination and interaction of man, vehicles, road, and environment.
Aim: This study aims to find out the outcome and severity of RTI in a district of West Bengal, India.
Settings and design: A cross-sectional study was conducted among inpatients of Departments of Surgery and Orthopedics of Bankura Sammilani Medical College and Hospital, West Bengal, India.
Materials and methods: The study was conducted for 1 year interviewing 295 RTI selected through scheduled sampling. Information pertaining to demographic and correlates of RTI was collected by face to face and over telephone using semi-structured questionnaire. Nine-item Simplified Injury Severity Scale (SISS) was used to assess injury severity. Internal consistency of SISS scale was showed by Cronbach's alpha and association with the correlates was done by Mann-Whitney U-test.
Statistical analysis used: With SPSS version 22.0, binary logistic regression, and Mann-Whitney U-test.
Results and conclusion: Fatal outcome in terms of death and permanent disability was 34.24% and they had higher marginally significant (P = 0.06), SISS score (45.17 ± 12.59). Participants with absence of protective devices, presence of comorbidities, drunkenness, with accidents over national highways, in-between 6 am and 6 pm, mechanized two-wheelers, and nonreceipt of first aid were found to have significantly high scores compared to their counterpart. SISS, as a proxy measure of severity assessment, could throw a light on it and awareness generation and legislative stringency might be need of the hour for the country.
Keywords: Accidents; Mann–Whitney U; cross-sectional study; logistic regression.
Conflict of interest statement
There are no conflicts of interest.
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