Near miss road traffic accidents and associated factors among truck drivers in Gamo zone, southern Ethiopia by using a contributory factors interaction model
DOI: 10.3389/fpubh.2024.1386521
archive: archived pipeline: cataloged verified
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Summary
This study investigates the prevalence and determinants of near-miss road traffic accidents (NMAs) among truck drivers in the Gamo zone of southern Ethiopia. Motivated by the high global burden of road traffic accidents and the scarcity of research focusing on NMAs—events that could have resulted in injury but did not—the authors aimed to identify risk factors using a systemic approach. Unlike previous studies that focused primarily on human error, this research employed the Contributory Factors Interaction Model (CFIM) to evaluate a comprehensive range of variables, including outside factors, organizational influences, unsafe supervision, and preconditions for unsafe behavior. The researchers conducted a community-based cross-sectional study from May to July 2022. The target population consisted of truck drivers transporting bananas, a group selected due to their high-risk working conditions, including night shifts and heavy loads. Using simple random sampling, 399 drivers were selected from a sampling frame obtained from local truck associations. Data were collected via structured, interviewer-administered questionnaires, which were pre-tested and translated into the local language to minimize recall and social desirability biases. The study utilized binary and multivariate logistic regression models to analyze the data, with statistical significance set at p < 0.05. The results indicated a high prevalence of NMAs, with 72.5% of the truck drivers reporting having experienced such incidents. The primary causes identified were speeding (22.6%), driving on the wrong side of the road (13.5%), and skidding (13.2%). Multivariate analysis revealed several significant associations with NMAs. Individual and behavioral factors included younger age, lower educational attainment, high driving frequency per week, and inadequate sleep. Environmental and systemic factors significantly associated with NMAs included driving on major roads and junctions, poor road conditions, foggy weather, and inadequate traffic oversight or enforcement of safety regulations. The study concludes that NMAs are highly prevalent among truck drivers in the Gamo zone and are influenced by a complex interaction of individual, environmental, and organizational factors. The findings challenge the notion that road safety can be improved solely by addressing individual driver behavior. Instead, the authors argue for comprehensive road safety measures that address systemic issues, such as improving road infrastructure, enforcing traffic regulations, ensuring adequate driver rest, and enhancing training. By identifying these determinants through the CFIM framework, the study provides evidence-based recommendations for mitigating potential road traffic accidents and reducing the associated health and economic burdens.
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| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | Crossref | — | — | 1 | 2026-06-24 |
| archive | success | canonical_url | — | — | 1 | 2026-06-26 |
| extract | success | cached | — | — | 2 | 2026-06-26 |
| clean | success | clean | — | — | 1 | 2026-06-25 |
| chunk | success | chunk | — | — | 1 | 2026-06-25 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-25 |
| promote | success | — | — | — | 1 | 2026-06-24 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 1 | 2026-06-26 |
| tag | success | vector_similarity | — | — | 6 | 2026-06-25 |
| verify | success | — | — | — | 1 | 2026-06-26 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-26; verification: verified.
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- Empirical Findings: crash risk outcomes, observational prevalence