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The epidemiology of road traffic accidents and associated factors among drivers in Dilla Town, Southern Ethiopia

BACKGROUND: Data on the magnitude of road traffic accidents (RTAs) were mostly obtained through police records and hospital registration data. However, insufficient data reporting masked the gravity of the problem, and little attention was paid to the magnitude and correlation of road traffic accide...

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Autores principales: Hareru, Habtamu Endashaw, Negassa, Belay, Kassa Abebe, Reta, Ashenafi, Eden, Zenebe, Getachew Assefa, Debela, Berhanu Gidisa, Ashuro, Zemachu, Eshete Soboksa, Negasa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9686279/
https://www.ncbi.nlm.nih.gov/pubmed/36438205
http://dx.doi.org/10.3389/fpubh.2022.1007308
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author Hareru, Habtamu Endashaw
Negassa, Belay
Kassa Abebe, Reta
Ashenafi, Eden
Zenebe, Getachew Assefa
Debela, Berhanu Gidisa
Ashuro, Zemachu
Eshete Soboksa, Negasa
author_facet Hareru, Habtamu Endashaw
Negassa, Belay
Kassa Abebe, Reta
Ashenafi, Eden
Zenebe, Getachew Assefa
Debela, Berhanu Gidisa
Ashuro, Zemachu
Eshete Soboksa, Negasa
author_sort Hareru, Habtamu Endashaw
collection PubMed
description BACKGROUND: Data on the magnitude of road traffic accidents (RTAs) were mostly obtained through police records and hospital registration data. However, insufficient data reporting masked the gravity of the problem, and little attention was paid to the magnitude and correlation of road traffic accidents from the driver's perspective. Therefore, this study aimed to assess the prevalence of RTA and related factors among drivers. METHODS: A community-based cross-sectional study involving 316 drivers was conducted in Southern Ethiopia. The participants were chosen using a systematic random sample technique, and the data were obtained using an interview-administered structured questionnaire. To analyze the data, SPSS software (version 20) was employed. In addition to descriptive statistics, binary logistic regression analysis was also employed to find factors connected to traffic accidents. RTA factors were considered statistically significant if they had a P-value of 0.05 or below in the multivariate analysis. RESULT: The RTA among drivers was 126 (39.9%) (95% confidence interval (CI): 34.2–45.6%) in the previous year. The following factors were associated with RTA: vehicle maintenance (AOR = 0.11, 95% CI: 0.09, 0.96), media utilization (AOR = 0.38, 95% CI: 0.18, 0.65), participation in driving-related training (AOR = 0.73, 95% CI: 0.28, 0.91), punishment for prior traffic violations (AOR = 0.56, 95% CI: 0.47, 0.83), and risky driving behavior (AOR = 7.89, 95% CI: 3.22, 12.38). CONCLUSION: Two-fifths of the drivers were involved in a traffic accident. Risky driving behaviors, vehicle maintenance, media usage, attending driving-related training in the previous 2 years, and prior experience with traffic police punishment or warning were all strongly linked to road traffic accidents. In light of these statistics, the Federal Ministry of Transport of Ethiopia and other stakeholders should support making it mandatory for drivers to check their vehicles' safety, provide them with safety training, raise awareness about vehicle maintenance and risky driving behaviors, and enforce strict penalties for traffic violations.
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spelling pubmed-96862792022-11-25 The epidemiology of road traffic accidents and associated factors among drivers in Dilla Town, Southern Ethiopia Hareru, Habtamu Endashaw Negassa, Belay Kassa Abebe, Reta Ashenafi, Eden Zenebe, Getachew Assefa Debela, Berhanu Gidisa Ashuro, Zemachu Eshete Soboksa, Negasa Front Public Health Public Health BACKGROUND: Data on the magnitude of road traffic accidents (RTAs) were mostly obtained through police records and hospital registration data. However, insufficient data reporting masked the gravity of the problem, and little attention was paid to the magnitude and correlation of road traffic accidents from the driver's perspective. Therefore, this study aimed to assess the prevalence of RTA and related factors among drivers. METHODS: A community-based cross-sectional study involving 316 drivers was conducted in Southern Ethiopia. The participants were chosen using a systematic random sample technique, and the data were obtained using an interview-administered structured questionnaire. To analyze the data, SPSS software (version 20) was employed. In addition to descriptive statistics, binary logistic regression analysis was also employed to find factors connected to traffic accidents. RTA factors were considered statistically significant if they had a P-value of 0.05 or below in the multivariate analysis. RESULT: The RTA among drivers was 126 (39.9%) (95% confidence interval (CI): 34.2–45.6%) in the previous year. The following factors were associated with RTA: vehicle maintenance (AOR = 0.11, 95% CI: 0.09, 0.96), media utilization (AOR = 0.38, 95% CI: 0.18, 0.65), participation in driving-related training (AOR = 0.73, 95% CI: 0.28, 0.91), punishment for prior traffic violations (AOR = 0.56, 95% CI: 0.47, 0.83), and risky driving behavior (AOR = 7.89, 95% CI: 3.22, 12.38). CONCLUSION: Two-fifths of the drivers were involved in a traffic accident. Risky driving behaviors, vehicle maintenance, media usage, attending driving-related training in the previous 2 years, and prior experience with traffic police punishment or warning were all strongly linked to road traffic accidents. In light of these statistics, the Federal Ministry of Transport of Ethiopia and other stakeholders should support making it mandatory for drivers to check their vehicles' safety, provide them with safety training, raise awareness about vehicle maintenance and risky driving behaviors, and enforce strict penalties for traffic violations. Frontiers Media S.A. 2022-11-10 /pmc/articles/PMC9686279/ /pubmed/36438205 http://dx.doi.org/10.3389/fpubh.2022.1007308 Text en Copyright © 2022 Hareru, Negassa, Kassa Abebe, Ashenafi, Zenebe, Debela, Ashuro and Eshete Soboksa. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Hareru, Habtamu Endashaw
Negassa, Belay
Kassa Abebe, Reta
Ashenafi, Eden
Zenebe, Getachew Assefa
Debela, Berhanu Gidisa
Ashuro, Zemachu
Eshete Soboksa, Negasa
The epidemiology of road traffic accidents and associated factors among drivers in Dilla Town, Southern Ethiopia
title The epidemiology of road traffic accidents and associated factors among drivers in Dilla Town, Southern Ethiopia
title_full The epidemiology of road traffic accidents and associated factors among drivers in Dilla Town, Southern Ethiopia
title_fullStr The epidemiology of road traffic accidents and associated factors among drivers in Dilla Town, Southern Ethiopia
title_full_unstemmed The epidemiology of road traffic accidents and associated factors among drivers in Dilla Town, Southern Ethiopia
title_short The epidemiology of road traffic accidents and associated factors among drivers in Dilla Town, Southern Ethiopia
title_sort epidemiology of road traffic accidents and associated factors among drivers in dilla town, southern ethiopia
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9686279/
https://www.ncbi.nlm.nih.gov/pubmed/36438205
http://dx.doi.org/10.3389/fpubh.2022.1007308
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