Effective Factors of Severity of Traffic Accident Traumas Based on the Haddon Matrix: a Systematic Review and Meta-analysis

Overview

Journal Ann Med Surg (Lond)

Publisher Wolters Kluwer

Specialty Medical Education

Date 2024 Mar 11

PMID 38463059

Authors

Saeed Golfiroozi

Hossein-Ali Nikbakht

Seyede Almas Fahim Yegane

Saeed Gholami Gharab

Layla Shojaie

Seyed Ahmad Hosseini

Abdolhalim Rajabi

Mousa Ghelichi-Ghojogh

Affiliations

Soon will be listed here.

Abstract

Objective: This study aims to investigate the factors affecting the severity of trauma caused by traffic accidents based on martrix Haddon; a systematic review and meta-analysis.

Methods: In this study searched five international databases in this study, including Medline/PubMed, ProQuest, Scopus, Web of Knowledge, and Google Scholar, for published articles by the end of 2022. Data were entered into the statistical program and analyses were performed using STATA 17.0 software. Odds ratio (OR) values were computed for severity accidents.

Results: Results of study showed that among the risk factors related to the host, not using helmet increased the risk of injury severity by 3.44 times compared to people who have used helmets (OR = 3.44, 95% CI: 2.27-5.00, =0.001, I=0.00%). Also, crossing over a centre divider has a protective role for the risk of injury severity compared to undertaking (OR =0.39, 95% CI: 0.20-0.75, =0.01, I=25.79%). in terms of the type of accident, accident of car-car reduces the risk of injury severity by 23% compared to accident of car-pedestrian (OR =0.77, 95% CI: 0.61-0.96, =0.02, I=0.00%).

Conclusions: It is necessary to pay attention to the intersection of human, vehicle and environmental risks and their contribution and how they interact. Based on the Haddon matrix approach, special strategies can be designed to prevent road damage. Safety standards for vehicles should also be addressed through stricter legal requirements and inspections.

References

Alemayehu M, Woldemeskel A, Olani A, Bekelcho T . Epidemiological characteristics of deaths from road traffic accidents in Addis Ababa, Ethiopia: a study based on traffic police records (2018-2020). BMC Emerg Med. 2023; 23(1):19. PMC: 9940670. DOI: 10.1186/s12873-023-00791-0. View

Mohtasham-Amiri Z, Dastgiri S, Davoudi-Kiakalyeh A, Imani A, Mollarahimi K . An Epidemiological Study of Road Traffic Accidents in Guilan Province, Northern Iran in 2012. Bull Emerg Trauma. 2016; 4(4):230-235. PMC: 5118576. View

Quddus M, Noland R, Chin H . An analysis of motorcycle injury and vehicle damage severity using ordered probit models. J Safety Res. 2002; 33(4):445-62. DOI: 10.1016/s0022-4375(02)00051-8. View

Mohan D . Road safety in less-motorized environments: future concerns. Int J Epidemiol. 2002; 31(3):527-32. DOI: 10.1093/ije/31.3.527. View

Damsere-Derry J, Ebel B, Mock C, Afukaar F, Donkor P, Kalowole T . Evaluation of the effectiveness of traffic calming measures on vehicle speeds and pedestrian injury severity in Ghana. Traffic Inj Prev. 2019; 20(3):336-342. PMC: 7141770. DOI: 10.1080/15389588.2019.1581925. View

Chang F, Li M, Xu P, Zhou H, Haque M, Huang H . Injury Severity of Motorcycle Riders Involved in Traffic Crashes in Hunan, China: A Mixed Ordered Logit Approach. Int J Environ Res Public Health. 2016; 13(7). PMC: 4962255. DOI: 10.3390/ijerph13070714. View

Benhamed A, Ndiaye A, Emond M, Lieutaud T, Boucher V, Gossiome A . Road traffic accident-related thoracic trauma: Epidemiology, injury pattern, outcome, and impact on mortality-A multicenter observational study. PLoS One. 2022; 17(5):e0268202. PMC: 9075643. DOI: 10.1371/journal.pone.0268202. View

Rice T, Peek-Asa C, Kraus J . Nighttime driving, passenger transport, and injury crash rates of young drivers. Inj Prev. 2003; 9(3):245-50. PMC: 1730980. DOI: 10.1136/ip.9.3.245. View

Vorko-Jovic A, Kern J, Biloglav Z . Risk factors in urban road traffic accidents. J Safety Res. 2006; 37(1):93-8. DOI: 10.1016/j.jsr.2005.08.009. View

10.

Taravatmanesh L, Mortazavi S, Baneshi M, Poor M, Saeedifar A, Zolala F . Epidemiology of road traffic accidents in Rafsanjan city, Iran. Electron Physician. 2018; 10(5):6859-6863. PMC: 6033124. DOI: 10.19082/6859. View

11.

Cirera E, Plasencia A, Ferrando J, Segui-Gomez M . Factors associated with severity and hospital admission of motor-vehicle injury cases in a southern European urban area. Eur J Epidemiol. 2001; 17(3):201-8. DOI: 10.1023/a:1017961921607. View

12.

Pogorzelski G, Silva T, Piazza T, Lacerda T, Spencer Netto F, Jorge A . Epidemiology, prognostic factors, and outcome of trauma patients admitted in a Brazilian intensive care unit. Open Access Emerg Med. 2018; 10:81-88. PMC: 6067629. DOI: 10.2147/OAEM.S162695. View

13.

Cummings P, McKnight B, Greenland S . Matched cohort methods for injury research. Epidemiol Rev. 2003; 25:43-50. DOI: 10.1093/epirev/mxg002. View

14.

Baru A, Azazh A, Beza L . Injury severity levels and associated factors among road traffic collision victims referred to emergency departments of selected public hospitals in Addis Ababa, Ethiopia: the study based on the Haddon matrix. BMC Emerg Med. 2019; 19(1):2. PMC: 6318925. DOI: 10.1186/s12873-018-0206-1. View

15.

Bishai D, Hyder A . Modeling the cost effectiveness of injury interventions in lower and middle income countries: opportunities and challenges. Cost Eff Resour Alloc. 2006; 4:2. PMC: 1379660. DOI: 10.1186/1478-7547-4-2. View

16.

Sundet M, Mulima G, Kajombo C, Gjerde H, Christophersen A, Young S . Adult pedestrian and cyclist injuries in Lilongwe, Malawi: a cross-sectional study. Malawi Med J. 2021; 32(4):197-204. PMC: 8364799. DOI: 10.4314/mmj.v32i4.4. View

17.

. Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2015; 386(9995):743-800. PMC: 4561509. DOI: 10.1016/S0140-6736(15)60692-4. View

18.

Nadesan-Reddy N, Knight S . The effect of traffic calming on pedestrian injuries and motor vehicle collisions in two areas of the eThekwini Municipality: a before-and-after study. S Afr Med J. 2013; 103(9):621-5. DOI: 10.7196/samj.7024. View

19.

Peterson R, Brown S . On the use of beta coefficients in meta-analysis. J Appl Psychol. 2005; 90(1):175-81. DOI: 10.1037/0021-9010.90.1.175. View

20.

Anderson R, McLean A, Farmer M, Lee B, Brooks C . Vehicle travel speeds and the incidence of fatal pedestrian crashes. Accid Anal Prev. 1997; 29(5):667-74. DOI: 10.1016/s0001-4575(97)00036-5. View