Patterns of injuries and injury severity among hospitalized road traffic injury (RTI) patients in Bangladesh
Background: Road traffic injuries (RTIs) are one of the key public health issues worldwide causing 1.3 million deaths every year. This study aimed to determine the patterns of injuries due to road traffic accidents (RTAs), the severity of injuries, and factors associated with injury severity. Method...
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doaj-c97bc481c4d54d1d981d283a6c0ac6082021-04-09T10:08:49ZengElsevierHeliyon2405-84402021-03-0173e06440Patterns of injuries and injury severity among hospitalized road traffic injury (RTI) patients in BangladeshSubarna Roy0Mohammad Delwer Hossain Hawlader1Mohammad Hayatun Nabi2Promit Ananyo Chakraborty3Sanjana Zaman4Mohammad Morshad Alam5Department of Public Health, North South University (NSU), Dhaka, 1229, BangladeshDepartment of Public Health, North South University (NSU), Dhaka, 1229, BangladeshDepartment of Public Health, North South University (NSU), Dhaka, 1229, BangladeshDepartment of Public Health, North South University (NSU), Dhaka, 1229, Bangladesh; School of Population and Public Health, University of British Columbia, Vancouver, BC, V6T 1Z3, CanadaDepartment of Public Health, Daffodil International University, Dhaka, 1207, BangladeshDepartment of Public Health, North South University (NSU), Dhaka, 1229, Bangladesh; Health, Nutrition and Population (HNP) Global Practice, The World Bank, Dhaka, 1207, Bangladesh; Corresponding author.Background: Road traffic injuries (RTIs) are one of the key public health issues worldwide causing 1.3 million deaths every year. This study aimed to determine the patterns of injuries due to road traffic accidents (RTAs), the severity of injuries, and factors associated with injury severity. Methodology: A cross-sectional study was conducted among RTA victims, who attended two large tertiary care hospitals located inside the Dhaka metropolitan area, through structured interview between 28 January and 22 March 2020. Results: Among 375 RTI patients, a total of 1390 injuries were recorded among interviewed patients, yielding a mean of 3.7 injuries per patient. The most frequently injured systems were external (n = 351), lower limb (n = 235), head and neck (n = 151), and face (n = 150). The mean ISS were 20.96 ± 12.027 with a maximum of 65 and a minimum of 4. Among patients, 87 (23.20%) had a severe injury, and 37 (9.87%) patients were critically injured. A statistically significant variation in ISS was observed in ANOVA among various categories of age, education, occupation, and purpose of going outside, vehicle type and fitness, accident type, road type, times required in hospitalization, and death history (p < 0.05). Conclusions: Our study has revealed several important findings which will help stakeholders and policymakers devise better policies to reduce RTA and RTA related injuries in Bangladesh.http://www.sciencedirect.com/science/article/pii/S2405844021005454Road traffic injuryInjury patternInjury severityBangladesh |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Subarna Roy Mohammad Delwer Hossain Hawlader Mohammad Hayatun Nabi Promit Ananyo Chakraborty Sanjana Zaman Mohammad Morshad Alam |
spellingShingle |
Subarna Roy Mohammad Delwer Hossain Hawlader Mohammad Hayatun Nabi Promit Ananyo Chakraborty Sanjana Zaman Mohammad Morshad Alam Patterns of injuries and injury severity among hospitalized road traffic injury (RTI) patients in Bangladesh Heliyon Road traffic injury Injury pattern Injury severity Bangladesh |
author_facet |
Subarna Roy Mohammad Delwer Hossain Hawlader Mohammad Hayatun Nabi Promit Ananyo Chakraborty Sanjana Zaman Mohammad Morshad Alam |
author_sort |
Subarna Roy |
title |
Patterns of injuries and injury severity among hospitalized road traffic injury (RTI) patients in Bangladesh |
title_short |
Patterns of injuries and injury severity among hospitalized road traffic injury (RTI) patients in Bangladesh |
title_full |
Patterns of injuries and injury severity among hospitalized road traffic injury (RTI) patients in Bangladesh |
title_fullStr |
Patterns of injuries and injury severity among hospitalized road traffic injury (RTI) patients in Bangladesh |
title_full_unstemmed |
Patterns of injuries and injury severity among hospitalized road traffic injury (RTI) patients in Bangladesh |
title_sort |
patterns of injuries and injury severity among hospitalized road traffic injury (rti) patients in bangladesh |
publisher |
Elsevier |
series |
Heliyon |
issn |
2405-8440 |
publishDate |
2021-03-01 |
description |
Background: Road traffic injuries (RTIs) are one of the key public health issues worldwide causing 1.3 million deaths every year. This study aimed to determine the patterns of injuries due to road traffic accidents (RTAs), the severity of injuries, and factors associated with injury severity. Methodology: A cross-sectional study was conducted among RTA victims, who attended two large tertiary care hospitals located inside the Dhaka metropolitan area, through structured interview between 28 January and 22 March 2020. Results: Among 375 RTI patients, a total of 1390 injuries were recorded among interviewed patients, yielding a mean of 3.7 injuries per patient. The most frequently injured systems were external (n = 351), lower limb (n = 235), head and neck (n = 151), and face (n = 150). The mean ISS were 20.96 ± 12.027 with a maximum of 65 and a minimum of 4. Among patients, 87 (23.20%) had a severe injury, and 37 (9.87%) patients were critically injured. A statistically significant variation in ISS was observed in ANOVA among various categories of age, education, occupation, and purpose of going outside, vehicle type and fitness, accident type, road type, times required in hospitalization, and death history (p < 0.05). Conclusions: Our study has revealed several important findings which will help stakeholders and policymakers devise better policies to reduce RTA and RTA related injuries in Bangladesh. |
topic |
Road traffic injury Injury pattern Injury severity Bangladesh |
url |
http://www.sciencedirect.com/science/article/pii/S2405844021005454 |
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