
Road traffic accidents involving motorcycle riders continue to pose a significant public health challenge, with a substantial portion of the health-related consequences occurring in developing nations, including Ghana. This research developed an appropriate model for assessing the causes and effects of a motorcycle accident in the Gomoa East District. Employing a cross-sectional research design, a random sample comprising 115 motorcycle riders was selected using the snowball sampling method. Structured questionnaires were employed to gather data from this selected sample. Statistical analysis included the utilization of the Chi-squared test of association and a binary logistic regression model. The findings indicated that most motorcycle accident victims were males (84.3%). Among the respondents, the majority (57.4%) were in the age categories of 26-35 years. Moreover, the study uncovered that age, frequency of maintenance, weight, adherence to speed limits, riding experience, and riding under the influence of alcohol all had a significant impact on motorcycle accidents in the Gomoa East district (p<0.05). The likelihood of motorcycle accidents occurring in the Gomoa East district was considerably high, primarily due to a prevalent issue of drunk riding among motorcycle riders. There was high prevalence of motorcycle accidents among males than females. It is imperative that policies and regulations designed to enhance road safety for both motorcycle riders and other road users be rigorously implemented in the Gomoa East district.
Motorcycle Accidents, Injuries, Gomoa East District, Logistic Regression, Ghana
Motorcycle Accidents, Injuries, Gomoa East District, Logistic Regression, Ghana
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