Injury Severity Levels and Associated Factors among Road Traffic Accident Victims Referred to Emergency Departments of Selected Public Hospitals in Addis Ababa, Ethiopia: The Study Based on Haddon Matrix

Baru, Ararso (2017) Injury Severity Levels and Associated Factors among Road Traffic Accident Victims Referred to Emergency Departments of Selected Public Hospitals in Addis Ababa, Ethiopia: The Study Based on Haddon Matrix. Masters thesis, Addis Ababa University.

[img] PDF (Injury Severity Levels and Associated Factors among Road Traffic Accident Victims Referred To Emergency Departments of Selected Public Hospitals in Addis Ababa, Ethiopia: The Study Based On Haddon Matrix)
Ararso Baru.pdf - Accepted Version
Restricted to Repository staff only

Download (956kB) | Request a copy

Abstract

Background: Globally, approximately about 1.25 million people die annually from road traffic accident (RTA). Moreover, about 20 to 50 million people sustain nonfatal injuries as a result of road traffic crashes. Evidence from global safety report shows that, the trend of road traffic injury in developed countries is decreasing while accident trend in developing countries including Ethiopia is notably increasing. This trend will go further owing to increased motor vehicle ownership and use associated with economic growth in developing countries. Objective: to determine injury severity of Road Traffic accident and associated factors among victims referred to selected public hospitals of Addis Ababa based on Haddon Matrix. Methods and Materials; the study was conducted in public health facilities of Addis Ababa, Ethiopia from March 1 to May 10, 2017. Hospital based descriptive cross sectional study design were implemented to select 363 victims using systematic random sampling method. Interviewer administered structured questionnaire were used to collect the data while Kampala trauma score II were applied to measure injury severity of RTA victims. The collected data was cleaned and entered into Epidata version 3.1 and exported to SPSS Ver.21 for analysis. Multiple logistic regression models were used to indicate the association between variable. Results; A total of 363 individual sustained road traffic injuries were included to the study. The prevalence of severe injury among road traffic accident victims was 36.4%. Victims type AOR 0.42(95% CI; 0.20-0.88), helmet use AOR 4.7(95%CI; 1.04-21.09), presence of multiple injury AOR 3.88(95% CI; 2.26-6.65), vehicle type AOR2.14(95% CI; 1.01-4.52), Vehicle occupant seating place AOR3.9(1.18-12.080),crash type AOR 0.48(95% CI; 0.24-0.93), lighting condition AOR 1.93(95% CI; 1.01-3.65), availability of traffic signals and tools AOR1.95(95% CI; 1.18-3.24), tight traffic police control AOR 0.49(95% CI; 0.27-0.88) and person extricate the victims AOR 0.33(95% CI; 0.13-0.83)were factors significantly associated with injury severity level. Conclusion and Recommendation; Results reported in this paper suggest the need for immediate and pragmatic steps to be taken to curb the wanton destruction of lives that are occurring on the roads. In particular, there is urgent need to introduce road safety interventions to address this public health hazard that is claiming the lives of economically productive age group.

Item Type: Thesis (Masters)
Uncontrolled Keywords: Road traffic accident, injury severity, Haddon Matrix, Ethiopia
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management
R Medicine > R Medicine (General)
R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Divisions: Africana
Depositing User: Vincent Mpoza
Date Deposited: 29 Jun 2018 13:25
Last Modified: 29 Jun 2018 13:25
URI: http://thesisbank.jhia.ac.ke/id/eprint/6339

Actions (login required)

View Item View Item