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Background: Road traffic accidents (RTAs) are a pressing public health issue in Ethiopia, exacerbated by rapid urbanization and motorization. Despite efforts, escalating rates persist due to various factors like human behavior and road infrastructure deficiencies. This study addresses the need for comprehensive data on RTAs in Ethiopia, aiming to uncover socioeconomic and behavioral factors to inform evidence-based policies. Methods: A systematic review and meta-analysis were conducted from March to April 2024, adhering to PRISMA guidelines. Major databases like Google Scholar, PubMed, and the Cochrane Library were searched using specific keywords related to RTAs and Ethiopia. Studies conducted between 2014 and 2024 were included, with eligibility criteria. Data extraction followed a standardized Microsoft Excel format. Study quality was assessed using the JBI checklist, with high-quality articles included. Statistical analysis, conducted using STATA version 17, included descriptive analysis, forest plots for RTA prevalence, and examination of publication bias using Egger and Begs tests. Subgroup analysis and meta-regression explored moderating factors and sources of heterogeneity. Results: The systematic review identified eight studies meeting inclusion criteria, conducted between 2014 and 2022. RTA prevalence was 36% (95% CI: 23; 49). Sensitivity analysis confirmed the robustness of the estimated prevalence. Publication bias was detected via Egger's test, though Begg's test was non-significant. Meta-regression found no significant influence of publication year or sample size on RTA prevalence. Socioeconomic factors like income level and driving experience, alongside behavioral factors like traffic rule violations and substance use, were identified as key drivers of RTAs in Ethiopia. Conclusions: The study highlights the significant burden of road traffic accidents in Ethiopia, influenced by socioeconomic and behavioral factors. Socioeconomic factors such as income level and driving experience, along with behavioral factors like traffic rule violations and substance use, emerged as prominent determinants of RTAs. Policymakers should prioritize evidence-based interventions targeting these factors to improve road safety nationwide. [ABSTRACT FROM AUTHOR]

Background: Road traffic accidents(RTA) are a major public health problem worldwide, accounting for almost 1.24 million deaths per year and it is the number one cause of death among those aged group 15–29 years. Even though there are great benefits from access to road transportation there also poses a great challenge in the individual's daily activities ranging from minor injury to death. Objective: This study aimed to assess the magnitude and outcome of road traffic accidents among patients admitted in Dessie Town Governmental Hospitals, Northeast Amhara, Ethiopia, 2022. Methods: A five-year hospital-based retrospective descriptive cross-sectional study design was conducted among 377 road traffic accident patients admitted to Dessie Town Governmental hospitals. Data were collected by simple random methods based on patient chart reviews from June 7/, 2022 to May 23/ 2017 using a checklist adapted from the WHO standard hospital-based road traffic accident questionnaires after obtaining consent from the concerned authority. EPI-Data software version 7.2 for data entry and SPSS version 25 for statistical analysis were used. Descriptive and inferential statistics were used. Statistical significance was declared at a p-value of < 0.05 with an adjusted odds ratio (AOR) and a 95% confidence interval (CI) in the final multinomial logistic regression model. Results: The magnitude of road traffic accidents was 59%, using of logistic multi nominal logistic regression we found results such that, road traffic victims who had unstable vital signs at admission (AOR = 6.4,95% CI; 2.5–16.6), didn't get prehospital treatment (AOR = 9.3,95% CI; 4–20), and severe injury (AOR = 9, 95% CI;7-15.4), had a Glasgow coma scale of 3–5 (AOR = 5.2,95% CI; 1.4–20) were found predictors for death were as unstable vital signs at admission (AOR = 3.79,95%CI;2.1–6.8), Doesn't get prehospital treatment (AOR = 2.8, 95% CI; 1.4–5.7), Hospital stay for one to two months duration (AOR = 6,95% CI;2.3–15), and greater than two months duration (AOR = 6.5,95%CI;2.5–17) were found predictors for disability among road traffic victims. Conclusions and recommendations: Road traffic accidents constitute a major public health problem in our setting and contribute significantly to excessively high morbidity and mortality. Unstable vital signs at admission, Client doesn't get prehospital treatment, severely injured client, and had a Glasgow coma scale of 3–5 were found predictors for death were as an unstable vital sign at admission, Client doesn't get pre-hospital treatment, Hospital stays for one to two months duration, and greater than two months duration were found predictors for disability among road traffic victims. [ABSTRACT FROM AUTHOR]

Background: Globally, road traffic accidents cause around 50 million injuries and disabilities and close to 1.35 million deaths every year. In Ethiopia, approximately five thousand deaths are estimated to occur annually due to road traffic accidents. However, there is limited data on the precise burden of the problem in Ethiopia. This study aimed to assess the magnitude of road traffic accidents and associated factors among traumatized patients who visited the emergency units of selected public hospitals in Addis Ababa, Ethiopia. Methods: A facility-based cross-sectional study design was conducted on 381 trauma patients who visited the emergency department of three public hospitals in Addis Ababa between June 1 and July 12, 2022. The data were collected using a structured questionnaire, entered into Epi-data, and exported to SPSS for statistical analysis. A logistic regression model was used to identify factors contributing to road traffic accidents at a significant level of P < 0.05. Results: The majority of participants were males (73.5%), between 20 and 39 years old (65.1%), and married (45.7%). The prevalence of road traffic accidents among traumatized patients was 37.3% (95% CI: 32.5, 42.3) in public hospitals in Addis Ababa. After adjusting for potential confounders, being male [AOR (95% CI) = 2.77 (1.6, 4.8)], traveling in the afternoon [AOR (95% CI) = 0.6 (0.3, 0.9)], and alcohol-drinking before travel [AOR (95% CI) = 2.50 (1.6, 4.0)] were factors contributing to road traffic accidents. Conclusion: The prevalence of road traffic accidents was very high in Addis Ababa public hospitals. Being male, traveling in the afternoon, and drinking alcohol before travel were significantly associated with an increased risk of road traffic accidents. Community awareness creation, strict traffic flow control in the morning, and alcohol breath tests will ultimately decrease road traffic accidents. In the meantime, expansion and strengthening of pre-hospital care and post-crash trauma care services. [ABSTRACT FROM AUTHOR]

This paper discusses the effects of human factors on RTAs in Hawassa city. The research intended to attain two specific objectives - first, to examine the human errors that obstruct road traffic safety, and second, to the significant human factors contributing to road traffic accidents (RTAs). The research has used qualitative and quantitative approaches to provide a variety of perspectives that can be studied. Simple descriptive analyses (mean, standard deviation, and percentage) using tables, graphs, and figures were conducted to analyze human factors' effect on road traffic accidents (RTAs) in the study area. Road traffic safety and improper utility and road use are considered factors affecting road traffic safety. The statistical analysis and result revealed that independent variables (speedy driving, drunken driving, distracted driving, road users neglecting) have a moderate correlation. However, they have a moderate, strong, and very strong relationship to the dependent variable, i.e., road traffic safety. In order to identify the main human factor contributing to road traffic accidents (RTAs), an analysis carried out by multiple linear regression analysis discovered four factors (independent variables) that significantly increase the risk of road traffic accidents (RTAs). Therefore, human factors have been identified to account for the occurrence of road traffic accidents (RTAs). [ABSTRACT FROM AUTHOR]

Every year, millions die in road accidents globally, imposing significant economic and humanitarian costs. While road traffic accidents are a major health concern, many developing countries, including Ethiopia, struggle to address this issue effectively. Ethiopia ranks second in East Africa for severe road traffic accidents, highlighting the need for improved injury reduction strategies. This study introduces a novel approach by chronologically identifying and prioritizing accident black spots in the studied area, Ethiopia. This method provides a valuable tool for transportation authorities and traffic police to target high-risk areas for immediate intervention. Focusing on the Dembecha-Injibara highway segment, the study employs both descriptive and inferential analyses, using the Zegeer method to calculate accident rates. It also uses factors of weight contributing to road traffic accidents and their severity to rank accident-prone areas. The findings reveal that areas near Finote Selam, Banja, and Burie are highly prone to severe accidents, with specific accident frequencies and priority values identified. Recommendations are offered to address these high-risk areas and mitigate severe traffic accidents in the study region., (© 2024. The Author(s).)

Background: Traffic accidents on the road is an accident is a terrible accident that causes death, injury, and property damage. However, limited studies were addressed to investigate the prevalence of traffic accidents on the road and the contributing factors among drivers that help in developing strategies to cop-up the incidence within the research domain in Ethiopia, particularly in the study area., Objective: This study aimed to assess the prevalence of road traffic accidents and the contributing factors among drivers of public transportation in Mizan Aman town, Ethiopia., Methods: A community-based cross-sectional survey was employed among 376 drivers of public transportation. Every research subject was selected by using a simple random sampling technique. Semi-structured and open-ended questionnaires which comprised demographic characteristics, risky personal behaviors and lifestyles, driver's factors, vehicle condition, and environmental conditions were used to gather data. And then after, data was collected through interviewer-administered using KoBo Collect tools. Completed data were edited and cleaned in the Kobo collect toolbox and then exported for additional analysis to a statistical tool for social science statistics version 26. The descriptive statistics were displayed as figures, tables, and texts. Binary logistic regression was analyzed to identify the contributing factors. Statistically significant was decided with a p -value of ≤ 0.05., Results: The results showed that the prevalence of road traffic accidents among drivers of public transportation in Mizan Aman town was 17%. The study identified factors influencing traffic accidents on the roads including marital status (being single), employee condition (permanent), monthly income (1001-2500 Ethiopia Birr), alcohol use, vehicle maintenance (not), road type (non-asphalt), and weather conditions (being windy)., Conclusion: The overall prevalence of road traffic accidents among drivers of public transportation in Mizan Aman town was relatively low. Despite this, sociodemographic characteristics, driver factors, vehicle conditions, and environmental conditions [road type and weather conditions] were the predicting factors of traffic accidents in town. Therefore, reduction strategies should be the highest priority duty for concerned bodies like Mizan Aman town road and transport office, Bench Sheko zone transport and logistics office, and Southwest Ethiopia People Regional State (SWEPRS) transport bureau in the study area., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Endalew, Gibo, Belay, Zegeye, Ango and Ketema Astatke.)

Background: Data on the magnitude of road traffic accidents (RTAs) were mostly obtained through police records and hospital registration data. However, insufficient data reporting masked the gravity of the problem, and little attention was paid to the magnitude and correlation of road traffic accidents from the driver's perspective. Therefore, this study aimed to assess the prevalence of RTA and related factors among drivers., Methods: A community-based cross-sectional study involving 316 drivers was conducted in Southern Ethiopia. The participants were chosen using a systematic random sample technique, and the data were obtained using an interview-administered structured questionnaire. To analyze the data, SPSS software (version 20) was employed. In addition to descriptive statistics, binary logistic regression analysis was also employed to find factors connected to traffic accidents. RTA factors were considered statistically significant if they had a P -value of 0.05 or below in the multivariate analysis., Result: The RTA among drivers was 126 (39.9%) (95% confidence interval (CI): 34.2-45.6%) in the previous year. The following factors were associated with RTA: vehicle maintenance (AOR = 0.11, 95% CI: 0.09, 0.96), media utilization (AOR = 0.38, 95% CI: 0.18, 0.65), participation in driving-related training (AOR = 0.73, 95% CI: 0.28, 0.91), punishment for prior traffic violations (AOR = 0.56, 95% CI: 0.47, 0.83), and risky driving behavior (AOR = 7.89, 95% CI: 3.22, 12.38)., Conclusion: Two-fifths of the drivers were involved in a traffic accident. Risky driving behaviors, vehicle maintenance, media usage, attending driving-related training in the previous 2 years, and prior experience with traffic police punishment or warning were all strongly linked to road traffic accidents. In light of these statistics, the Federal Ministry of Transport of Ethiopia and other stakeholders should support making it mandatory for drivers to check their vehicles' safety, provide them with safety training, raise awareness about vehicle maintenance and risky driving behaviors, and enforce strict penalties for traffic violations., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The reviewer CK declared a shared affiliation with the author(s) to the handling editor at the time of review., (Copyright © 2022 Hareru, Negassa, Kassa Abebe, Ashenafi, Zenebe, Debela, Ashuro and Eshete Soboksa.)

The objective of the study was to determine the benefits of screening for color vision impairment on the ability to operate a motor vehicle safely. The study was cross-sectional in its methodology in which color vision of 1,879 randomly selected drivers was tested using Ishihare color plates. There were 85 (4.5%) cases of defective color vision. Among them, 83 (97.6%) were males and 2 (2.4%) were females. Of the 83 male cases of defective color vision, 56 (65.9%) were deuteranopes and 29 (34.1%) protanopes. The two color-blind females were deuteranopes. During the past 3 years, 27 (31.8%) color-blind subjects were reported to have had road traffic accidents compared to the total accidents of 398 (21.2%). The probability that color-blind drivers would encounter an accident was about twice as high as among non-color-blind drivers (OR = 1.94; 95% CI, 1.18-3.17; p < 0.02). We conclude that the compulsory examination of color vision in driver's license seekers in Ethiopia does not screen out color-blind individuals. Therefore, the techniques of screening should be improved either to restrict the acquisition of licenses or at least to train drivers to compensate for their defect. [ABSTRACT FROM AUTHOR]