Makwaga Olipher, Mokaya Tom, Otambo Priscah, Mwau Matilu, Adungo Ferdinard
Kenya Medical Research Institute, Department of Biomedical Research, Busia, Kenya.
Pan Afr Med J. 2025 May 12;51:10. doi: 10.11604/pamj.2025.51.10.41577. eCollection 2025.
in Busia, motorcycles are a significant contributor to the number of road traffic injuries. Despite the impact they have on the healthcare system, motorcycle accidents have not received much attention due to a lack of local data and inadequate public policy responses in the country. Therefore, this study aimed to identify the risk factors that predict motorcycle accidents.
this study utilized a cross-sectional mixed-method approach involving interviews with 423 motorcycle riders to explore factors associated with motorcycle accidents. Additionally, seven focus group discussions were conducted to gather more in-depth information. Data analysis was carried out using multiple logistic regression.
out of the 423 riders interviewed, 243 (57.5%) had been involved in an accident. The likelihood of being in an accident was higher for riders who had consumed alcohol (OR=1.8, 95% CI: 1.2-2.7, p=0.004) and for those not using reflector jackets (OR=2.5, 95% CI: 1.4-4.4, p=0.002). Riders who carried only one passenger at a time were at lower risk (OR=0.6, 95% CI: 0.3-1.0, p=0.037) compared to those carrying multiple passengers. Overtaking from both sides increased the risk of accidents compared to overtaking from the right side (OR=2.1, 95% CI 1.3-3.5, p=0.003). Additionally, not wearing helmets and a lack of driving training were found to be associated with accidents (chi-square, p < 0.05). Qualitative analysis revealed similar factors as predictors of motorcycle accidents as the quantitative findings.
the results indicated several major contributors to motorcycle accidents. The study shows that riders do not adhere to traffic rules. Legal action is needed for those who do not comply with traffic rules and regulations.
在布西亚，摩托车是道路交通伤害事故数量的一个重要促成因素。尽管摩托车事故对医疗系统有影响，但由于该国缺乏本地数据且公共政策应对不足，摩托车事故并未受到太多关注。因此，本研究旨在确定预测摩托车事故的风险因素。
本研究采用横断面混合方法，对423名摩托车骑手进行访谈，以探讨与摩托车事故相关的因素。此外，还进行了七次焦点小组讨论，以收集更深入的信息。使用多元逻辑回归进行数据分析。
在接受访谈的423名车手中，有243人（57.5%）曾发生过事故。饮酒的骑手发生事故的可能性更高（比值比=1.8，95%置信区间：1.2 - 2.7，p = 0.004），不使用反光夹克的骑手也是如此（比值比=2.5，95%置信区间：1.4 - 4.4，p = 0.002）。与搭载多名乘客的骑手相比，一次只搭载一名乘客的骑手风险较低（比值比=0.6，95%置信区间：0.3 - 1.0，p = 0.037）。与从右侧超车相比，从两侧超车会增加事故风险（比值比=2.1，95%置信区间1.3 - 3.5，p = 0.003）。此外，发现不戴头盔和缺乏驾驶培训与事故有关（卡方检验，p < 0.05）。定性分析揭示了与定量研究结果类似的因素，这些因素可作为摩托车事故的预测指标。
结果表明了导致摩托车事故的几个主要因素。该研究表明骑手不遵守交通规则。对于不遵守交通规则和法规的人需要采取法律行动。
