ArticleBMC emergency medicine2019
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.
Article in BMC emergency medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.
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Who cites it
29 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Epidemiology of road traffic injuries and fatalities among children in Ethiopia: a systematic review and meta-analysis.BMC public health · 2026Pooled it
- Socioeconomic and behavioral factors of road traffic accidents among drivers in Ethiopia: systematic review and meta analysis.BMC public health · 2024Pooled it
- Article
- Deep learning-based extraction of Kenya's historical road network from topographic maps.Scientific data · 2025Article
- Predictive Factors Influencing Helmet Usage Among Motorcyclists: A Study at the Largest Trauma Center in Southern Iran.Bulletin of emergency and trauma · 2025Article
- Factors associated with road traffic injury severity among victims retrieved by pre-hospital emergency services in Rwanda.F1000Research · 2025Article
- Effective factors of severity of traffic accident traumas based on the Haddon matrix: a systematic review and meta-analysis.Annals of medicine and surgery (2012) · 2024Review
- Identification of determinant factors for crash severity levels occurred in Addis Ababa City, Ethiopia, from 2017 to 2020: using ordinal logistic regression model approach.BMC public health · 2023Article
- Outcomes and associated factors of traumatic brain injury among adult patients treated in Amhara regional state comprehensive specialized hospitals.BMC emergency medicine · 2023Article
- Understanding the factors of road crash severity in Benin: a matched case-control study.Journal of public health in Africa · 2023Article
- Prehospital emergency medical service utilization and associated factors among critically ill COVID-19 patients treated at centers in Addis Ababa, Ethiopia.PLOS global public health · 2023Article
- Prehospital characteristics of COVID-19 patients transported by emergency medical service and the predictors of a prehospital sudden deterioration in Addis Ababa, Ethiopia.International journal of emergency medicine · 2022Article
- Early detection of gram-negative bacteria using metagenomic next-generation sequencing in acute respiratory distress syndrome: A case report.Experimental and therapeutic medicine · 2022Article
- Referral conditions for severe road traffic injuries and their influence on the occurrence of hospital deaths in Benin.Journal of public health in Africa · 2022Article
- Factors associated with motorcycle-related road traffic crashes in Africa, a Scoping review from 2016 to 2022.BMC public health · 2022Article
- Factors associated with the severity of road traffic injuries from emergency department based surveillance system in two Mexican cities.BMC emergency medicine · 2022Article
- Sex-specific analysis of traumatic brain injury events: applying computational and data visualization techniques to inform prevention and management.BMC medical research methodology · 2022Article
- Observational
- Factors Associated with Willingness to Call Emergency Medical Services for Worsening Symptoms of COVID-19 in Addis Ababa, Ethiopia.Open access emergency medicine : OAEM · 2022Article
- Helmet wearing behavior where people often ride motorcycle in Ethiopia: A cross-sectional study.PloS one · 2022Article
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3 authors.
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Abstract
backgroundGlobally, 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.
methodsAhospital-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.
resultsA 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.
conclusionsFindings 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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