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 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...
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Format: | Article |
Language: | English |
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BMC
2019-01-01
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Series: | BMC Emergency Medicine |
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Online Access: | http://link.springer.com/article/10.1186/s12873-018-0206-1 |
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author | Ararso Baru Aklilu Azazh Lemlem Beza |
author_facet | Ararso Baru Aklilu Azazh Lemlem Beza |
author_sort | Ararso Baru |
collection | DOAJ |
description | 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. |
first_indexed | 2024-04-12T08:51:48Z |
format | Article |
id | doaj.art-80f72d68e1e243d28afd5b6126949250 |
institution | Directory Open Access Journal |
issn | 1471-227X |
language | English |
last_indexed | 2024-04-12T08:51:48Z |
publishDate | 2019-01-01 |
publisher | BMC |
record_format | Article |
series | BMC Emergency Medicine |
spelling | doaj.art-80f72d68e1e243d28afd5b61269492502022-12-22T03:39:33ZengBMCBMC Emergency Medicine1471-227X2019-01-0119111010.1186/s12873-018-0206-1Injury 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 matrixArarso Baru0Aklilu Azazh1Lemlem Beza2College of Medicine and Health Sciences, Arbaminch UniversityDepartment of Emergency Medicine, School of Medicine, College of Health Sciences, Addis Ababa UniversityDepartment of Emergency Medicine, School of Medicine, College of Health Sciences, Addis Ababa UniversityAbstract 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.http://link.springer.com/article/10.1186/s12873-018-0206-1Road traffic accidentInjury severityHaddon matrixEthiopia |
spellingShingle | Ararso Baru Aklilu Azazh Lemlem Beza 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 BMC Emergency Medicine Road traffic accident Injury severity Haddon matrix Ethiopia |
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 |
title_full | 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 |
title_fullStr | 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 |
title_full_unstemmed | 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 |
title_short | 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 |
title_sort | 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 |
topic | Road traffic accident Injury severity Haddon matrix Ethiopia |
url | http://link.springer.com/article/10.1186/s12873-018-0206-1 |
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