Melaku Tadege1. 1. Department of Statistics, Injibara University, Injibara, Amhara, Ethiopia. melakutadege@yahoo.com.
Abstract
BACKGROUND: In the globe, 1.3 million deaths and around 50 million non-fatal injuries were reported. From all deaths, 90% occur in developing countries. Ethiopia is considered as one of the worst countries in the globe where road traffic accident causes a lot of fatalities and injuries of road users every year. The main objective of the study was to identify the main predictors of fatal car accident. METHODS: The retrospective research design was applied. 255 records were taken from Finote Selam traffic police office, northwest part of Ethiopia from September 2009 to January 2018. The statistical analysis was performed by using SPSS version 23 software. Chi-square for association test and ordinal logistic regression for predictor identification were used. RESULTS: Age of drivers were the responsible causes of fatal road traffic accident (p-value = 0.033). The more experienced drivers decreased the occurrence of fatal traffic accidents. In addition, increasing vehicle service year reduced the occurrence of accidental death. Besides, the occurrence of fatal car accident in autumn season was 0.44 times less than that of in summer season. Additionally, drivers' educational level was played a crucial role in a road traffic accident. For instance, drivers whose educational level was below 12th grade were the most responsible factor for car accident deaths. What is more, it was seen that drivers who drove their vehicles could minimize the occurrence of fatal traffic accident (p-value = 0.010). CONCLUSION: In conclusion, fatal road traffic accidents happened due to drivers' lack of sufficient driving experience and low educational level. In addition, driving on weekends and driving on summer season were disclosed as responsible for fatal car accident. Moreover, drivers with younger age and those who drove a new vehicle likely caused fatal car accident. However, drivers who drive their vehicles seemed to be less responsible for fatal car accident than that of employed.
BACKGROUND: In the globe, 1.3 million deaths and around 50 million non-fatal injuries were reported. From all deaths, 90% occur in developing countries. Ethiopia is considered as one of the worst countries in the globe where road traffic accident causes a lot of fatalities and injuries of road users every year. The main objective of the study was to identify the main predictors of fatal car accident. METHODS: The retrospective research design was applied. 255 records were taken from Finote Selam traffic police office, northwest part of Ethiopia from September 2009 to January 2018. The statistical analysis was performed by using SPSS version 23 software. Chi-square for association test and ordinal logistic regression for predictor identification were used. RESULTS: Age of drivers were the responsible causes of fatal road traffic accident (p-value = 0.033). The more experienced drivers decreased the occurrence of fatal traffic accidents. In addition, increasing vehicle service year reduced the occurrence of accidental death. Besides, the occurrence of fatal car accident in autumn season was 0.44 times less than that of in summer season. Additionally, drivers' educational level was played a crucial role in a road traffic accident. For instance, drivers whose educational level was below 12th grade were the most responsible factor for car accident deaths. What is more, it was seen that drivers who drove their vehicles could minimize the occurrence of fatal traffic accident (p-value = 0.010). CONCLUSION: In conclusion, fatal road traffic accidents happened due to drivers' lack of sufficient driving experience and low educational level. In addition, driving on weekends and driving on summer season were disclosed as responsible for fatal car accident. Moreover, drivers with younger age and those who drove a new vehicle likely caused fatal car accident. However, drivers who drive their vehicles seemed to be less responsible for fatal car accident than that of employed.