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Injury from motorcycle is a considerable cause of deaths and disability in the world. It is becoming one of the most serious public health problems, not only in developed countries but more in low and middle-income countries.    Methods  Descriptive cross sectional study for patients who sustained head injuries related to motorcycle crashes between March 2017 and March 2018. Participant bio data, injury history and neurological examination findings were collected using pretested interviewer administered questionnaires. Frequencies, Mean (SD) and chi-square was employed in the analysis. Results were considered significant at p<0.05.    Results  A total of 341 motorcycle crash injury patients participated in the study. One hundred and forty three (42%), sustained head injuries while 198 (58%) sustained other types of injury. In regard to safety helmets, 94 (28%) wore helmets at the time of crash. One hundred and forty three (42%), of the respondents without helmets at the time of crash sustained head injuries. Riders and passengers who wore helmets at the time of motorcycle crash, suffered less frequent head injuries compared to those who did not wear helmets and this was statistically significant (χ2=55.78, P<0.00). Non use of safety helmet during crash was associated with sustaining mild to severe head injury. Most of the crashes 165 (48.3%), occurred as a result of collision between motorcycles versus vehicle. Majority of the crashes occurred in the afternoon hours 174 (51%). The days of the week recording the highest number of injuries were Friday (16.1%) and Monday (15.8%). The day of Involvement in motorcycle crash during the week was not significantly associated with head injury (χ2=13.103, p=0.785).    Conclusion  Majority of motorcycle crash injury victims sustained head injury. Few of the victims used safety helmets at the time of the motorcycle crash. Use of helmets was protective of sustaining mild to severe head injuries among crash injury victims.

Epidemiology of head injuries and helmet use among motorcycle crash injury: a quantitative analysis from a local hospital in Western Kenya