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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

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...

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Autores principales: Baru, Ararso, Azazh, Aklilu, Beza, Lemlem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6318925/
https://www.ncbi.nlm.nih.gov/pubmed/30606106
http://dx.doi.org/10.1186/s12873-018-0206-1
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author Baru, Ararso
Azazh, Aklilu
Beza, Lemlem
author_facet Baru, Ararso
Azazh, Aklilu
Beza, Lemlem
author_sort Baru, Ararso
collection PubMed
description 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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spelling pubmed-63189252019-01-08 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 Baru, Ararso Azazh, Aklilu Beza, Lemlem BMC Emerg Med Research Article 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. BioMed Central 2019-01-03 /pmc/articles/PMC6318925/ /pubmed/30606106 http://dx.doi.org/10.1186/s12873-018-0206-1 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Baru, Ararso
Azazh, Aklilu
Beza, Lemlem
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 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 Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6318925/
https://www.ncbi.nlm.nih.gov/pubmed/30606106
http://dx.doi.org/10.1186/s12873-018-0206-1
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