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BMC Emergency Medicine

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Open Access 01-12-2019 | Research article

Injury severity levels and associated factors among road traffic collision victims referred to emergency departments of selected public hospitals in Addis Ababa, Ethiopia: the study based on the Haddon matrix

Authors: Ararso Baru, Aklilu Azazh, Lemlem Beza

Published in: BMC Emergency Medicine | Issue 1/2019

Abstract

Background

Globally, about 1.25 million people die annually from road trafficcollisions. Evidence from global safety report shows a decreasing trend of road traffic injury indeveloped countries while there is an increasing trend in many developing countriesincluding Ethiopia. This study is aimed at assessing factors affecting injury severity levels of road traffic collision victims referred to selected public hospitals in Addis Ababa based on the Haddon Matrix.

Methods

Ahospital-based cross-sectional study designwas implemented to randomly select a total of 363 road traffic collision victims. The collected data was cleaned andentered into Epidata version 3.1 and exported to SPSS Version 21 for analysis. Bivariate and multivariate logisticregression models were used to examine the association between explanatory and outcome variables.

Results

A total of 363 individual sustained road traffic injuries were included to the study. Theprevalence of severe injury among road traffic accident victims was 36.4%. The following variables were significantly associated with increased injury severity: motorbike rider or motorbike passenger without helmet, adjusted odds ratio (AOR) 4.7(95% CI: 1.04–21.09); driving under the influence of alcohol, crude odds ratio (COR) 2.64(95% CI;1.23–5.64); victim with multiple injuries, AOR 3.88(95% CI: 2.26–6.65); vehicle size, AOR 2.14(95% CI: 1.01–4.52); collision in dark lighting condition, AOR 1.93(95% CI: 1.01–3.65); collision in cross city/rural, AOR 1.95(95% CI: 1.18–3.24) and vehicle occupant travelling unrestrained on the back of a truck, AOR3.9 (95% CI: 1.18–12.080). On the other hand, victims extricated at the scene by health care professional, AOR 0.33(95% CI: 0.13–0.83); victims extricated at the scene by police AOR 0.47(95% CI: 0.24–0.94); strict traffic police control at the scene of the collision, AOR 0.49(95% CI: 0.27–0.88) were significantly associated with less severe injuries.

Conclusions

Findings reported in this paper suggest the need forimmediate and pragmatic steps to be taken to curb the unnecessary loss of livesoccurring on the roads. In particular, there is urgent need to introduce road safety interventions.

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Title: Injury severity levels and associated factors among road traffic collision victims referred to emergency departments of selected public hospitals in Addis Ababa, Ethiopia: the study based on the Haddon matrix
Authors: Ararso Baru
Aklilu Azazh
Lemlem Beza
Publication date: 01-12-2019
Publisher: BioMed Central
Published in: BMC Emergency Medicine / Issue 1/2019
Electronic ISSN: 1471-227X
DOI: https://doi.org/10.1186/s12873-018-0206-1

At a glance: The ONWARDS insulin icodec trials

Springer Medicine

Injury severity levels and associated factors among road traffic collision victims referred to emergency departments of selected public hospitals in Addis Ababa, Ethiopia: the study based on the Haddon matrix

Abstract

Background

Methods

Results

Conclusions

At a glance: The ONWARDS insulin icodec trials

Springer Medicine

Abstract

Background

Methods

Results

Conclusions

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