Logistic Regression Modelling of Traumatic Injuries at the Accident and Emergency Unit; Komfo Anokye Teaching Hospital, Kumasi – Ghana

Abstract

This study analyzes traumatic injuries at the Komfo Anokye Teaching Hospital’s (KATH) Accident and Emergency Unit (AEU) in Kumasi, the capital of Ashanti Region of Ghana. Secondary data was used for this work. Data was extracted from the Trauma Database (Trauma Registry) and a total of 3903 cases were recorded.  The variables extracted from the database include; patient’s age, gender, occupation, mechanism of injury and place of injury (location). The analysis showed that, out of the 3903 patients selected for the study approximately 63% of the cases were classified as blunt trauma. Males were most frequently injured representing 71.3%. Also, the most frequently injured age group was 15 to 55 years representing 69.0%. The most frequent cause of injuries, accounting for 45.2% of all injuries, was motor vehicle collisions. The variables associated with the type of trauma (penetrating) are gender, mechanism of injury, place of injury and occupation.