Near miss road traffic accidents and associated factors among truck drivers in Gamo zone, southern Ethiopia by using a contributory factors interaction model.
| Autor: | Bekelcho T; Department of Emergency Medicine and Critical Care, College of Medicine and Health Sciences, Arba Minch University, Arba Minch, Ethiopia., Birgoda GT; Department of Midwifery, College of Medicine and Health Sciences, Arba Minch University, Arba Minch, Ethiopia., Leul H; Department of Midwifery, College of Medicine and Health Sciences, Arba Minch University, Arba Minch, Ethiopia., Maile M; Department of Midwifery, College of Medicine and Health Sciences, Arba Minch University, Arba Minch, Ethiopia., Alemayehu M; Department of Emergency and Critical Care, Tirunesh Beijing General Hospital, Addis Ababa, Ethiopia., Olani AB; Department of Emergency Medicine and Critical Care, College of Medicine and Health Sciences, Arba Minch University, Arba Minch, Ethiopia. |
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| Jazyk: | angličtina |
| Zdroj: | Frontiers in public health [Front Public Health] 2024 Jul 24; Vol. 12, pp. 1386521. Date of Electronic Publication: 2024 Jul 24 (Print Publication: 2024). |
| DOI: | 10.3389/fpubh.2024.1386521 |
| Abstrakt: | Background: Road traffic accidents (RTAs) are among the leading causes of injuries, fatalities, and the resulting increase in financial burdens worldwide. Every year, RTAs cause numerous serious injuries and fatalities in Ethiopia. it is important to understand how prevalent near-miss crash accidents are, and which by definition could have injured the victim but did not result in an actual accident. The determinants of these near-misses are essential in road crash accident reduction strategies. In spite of the fact that near-miss accidents are much more common than actual losses or injuries, very little research has been conducted on them. Thus, this study was intended to assess the near-miss accidents and associated factors among truckers in Gamo zone, southern Ethiopia. Methodology: The community-based cross-sectional study was employed from May 12 to July 10,2022, using a structured interviewer-administered questionnaire. A simple random sampling technique was used to select participants. The data were analyzed using the statistical package for social sciences. A binary and multivariate logistic regression model was used to identify the determinants of near-miss accidents. A statistical significance level was set at p < 0.05. Results: About 72.5% of truckers had experienced near-miss road traffic accidents. The majority of the near-miss accidents were caused by speeding, followed by driving on the wrong side of the road and skidding, 65 (22.6%), 39 (13.5%), and 38 (13.2%), respectively. Driving frequency per week, location of accidents, condition of the road, sleeping status, and weather conditions were significantly associated with near-miss accidents. Conclusion: The prevalence of near-miss accidents is high in the Gamo zone. Being a younger and less educated driver, high driving frequency per week, driving on major roads and junctions, foggy weather, and inadequate sleep all contribute to the occurrence of accidents. Road safety measures that could address these identified factors are required to mitigate potential RTAs. 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 Bekelcho, Birgoda, Leul, Maile, Alemayehu and Olani.) |
| Databáze: | MEDLINE |
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