Risk Factors for Road Traffic Injuries among Different Road Users in the Gambia

Prevalence and factors associated with ever had road traffic accidents among drivers in Hargeisa city, Somaliland, 2022

Road traffic accidents (RTAs) are a major cause of morbidity in Somaliland. This study aimed to determine the prevalence and factors associated with traffic-related incidents in Hargeisa city. A cross-sectional study was conducted between January and March 2022, utilizing a mixed approach involving quantitative and qualitative research approaches. Key informant interviews were conducted with 15 government officials, and structured questionnaires were administered to 387 drivers. Cluster sampling and purposive sampling were employed to select drivers and government officials, respectively. Data collection was performed using the Kobo Collect application, followed by cleaning and analysis using IBM SPSS version 25. Descriptive statistics, binary logistic regression, and chi-square tests were utilized for data analysis. The findings revealed an increasing trend of RTAs in Somaliland over the past 11 years (2011-2021). Moreover, the prevalence of RTAs in the past two years alone was determined to be 28.17% (CI: 23.67, 32.63). Factors significantly associated with RTAs in the research area included the type of vehicle, particularly Minibus (AOR = 3.249, CI: 1.022, 10.322) and Vitz (AOR = 2.325, CI: 1.092, 5.494), encountering aggressive behavior from other drivers (AOR = 1.790, CI: 1.013, 3.162), vehicles less than 4 years (AOR = 0.446, CI: 0.258, 0.771), traffic law violations (AOR = 2.726, CI: 1.296, 5.735), and the presence of traffic campaigns (AOR = 0.465, CI: 0.236, 0.917). The study recommends increasing awareness of RTAs among drivers and pedestrians, regular vehicle maintenance checks, enforcement of traffic laws, and increased police presence in road management to reduce fatalities associated with RTAs.

Effect of different helmet types in head injuries: a case-control study in northern Ghana

BACKGROUND

Motorcycle helmet use is low in Ghana and many helmets are non-standard. There are limited data on the effectiveness of the different helmet types in use in the real-world circumstances of low-income and middle-income countries. This study assessed the effect of different helmet types on risk of head injury among motorcycle crash victims in northern Ghana.

METHODS

A prospective unmatched case-control study was conducted at the Tamale Teaching Hospital (TTH). All persons who had injuries from a motorcycle crash within 2 weeks of presentation to TTH were consecutively sampled. A total of 349 cases, persons who sustained minor to severe head injury, and 363 controls, persons without head injury, were enrolled. A semistructured questionnaire was used to interview patients and review their medical records. Multivariable logistic regression was used to estimate odds for head injury.

RESULTS

After adjusting for confounders, the odds of head injuries were 93% less in motorcyclists with full-face helmet (FFH) (adjusted OR, AOR 0.07, 95% CI 0.04 to 0.15) or open-face helmet (OFH) (AOR 0.07, 95% CI 0.04, 0.13), compared with unhelmeted motorcyclists. Half-coverage helmets (HCH) were less effective (AOR 0.41, 95% CI 0.18 to 0.92). With exception of HCH, the AORs of head injury for the different types of helmets were lower in riders (FFH=0.06, OFH=0.05 and HCH=0.47) than in pillion riders (FFH=0.11, OFH=0.12 and HCH=0.35).

CONCLUSION

Even in this environment where there is a high proportion of non-standard helmets, the available helmets provided significant protection against head injury, but with considerably less protection provided by HCHs.

Factors associated with head injury among survivors of motorcycle crashes: a case-control study in northern Ghana

Introduction

the increasing use of motorcycles in northern Ghana is associated with a high incidence of motorcycle crashes and resultant head injuries. This study sought to determine factors associated with head injuries among survivors of motorcycle crashes in northern Ghana.

Methods

a prospective unmatched case-control study was conducted at the Tamale Teaching Hospital (TTH). A total of 326 cases (victims who suffered a head injury with or without other injuries) and 294 controls (persons who suffered various injuries except for head injury) from motorcycle crashes were consecutively sampled at TTH from December 15, 2019, to May 15, 2020. A semi-structured questionnaire was used to interview patients in addition to medical records review. Factors associated with head injury were examined using multivariable logistic regression at p<0.05 and a 95% confidence interval.

Results

the prevalence of head injury was 53.03% among of 660 survivors of motorcycle crashes. The majority of the patients were young males aged 15-44 years. The rate of helmet use was lower in cases (12.88%) than in controls (57.82%) (p<0.001). Factors associated with head injury were not wearing helmet (AOR= 9.80, 95% CI: 6.22, 15.43), male (AOR=1.75, 95% CI: 1.07, 2.85), student (AOR=0.38, 95% CI: 0.16, 0.91), and alcohol use within 24 hours (AOR=0.17, 95% CI: 0.04, 0.70).

Conclusion

non-use of helmet and male gender significantly increased the risk of head injury risk in this study. Alcohol use and being a student were associated with lower odds of head injuries. Motorcycle safety efforts in the study area should emphasize helmet promotion.

Macro-level literature analysis on pedestrian safety: Bibliometric overview, conceptual frames, and trends

Due to the high volume of documents in the pedestrian safety field, the current study conducts a systematic bibliometric analysis on the researches published before October 3, 2021, based on the science-mapping approach. Science mapping enables us to present a broad picture and comprehensive review of a significant number of documents using co-citation, bibliographic coupling, collaboration, and co-word analysis. To this end, a dataset of 6311 pedestrian safety papers was collected from the Web of Science Core Collection database. First, a descriptive analysis was carried out, covering whole yearly publications, most-cited papers, and most-productive authors, as well as sources, affiliations, and countries. In the next steps, science mapping was implemented to clarify the social, intellectual, and conceptual structures of pedestrian-safety research using the VOSviewer and Bibliometrix R-package tools. Remarkably, based on intellectual structure, pedestrian safety demonstrated an association with seven research areas: "Pedestrian crash frequency models", "Pedestrian injury severity crash models", "Traffic engineering measures in pedestrians' safety", "Global reports around pedestrian accident epidemiology", "Effect of age and gender on pedestrians' behavior", "Distraction of pedestrians", and "Pedestrian crowd dynamics and evacuation". Moreover, according to conceptual structure, five major research fronts were found to be relevant, namely "Collision avoidance and intelligent transportation systems (ITS)", "Epidemiological studies of pedestrian injury and prevention", "Pedestrian road crossing and behavioral factors", "Pedestrian flow simulation", and "Walkable environment and pedestrian safety". Finally, "autonomous vehicle", "pedestrian detection", and "collision avoidance" themes were identified as having the greatest centrality and development degrees in recent years.

Estimating the health burden of road traffic injuries in Malawi using an individual-based model

BACKGROUND

Road traffic injuries are a significant cause of death and disability globally. However, in some countries the exact health burden caused by road traffic injuries is unknown. In Malawi, there is no central reporting mechanism for road traffic injuries and so the exact extent of the health burden caused by road traffic injuries is hard to determine. A limited number of models predict the incidence of mortality due to road traffic injury in Malawi. These estimates vary greatly, owing to differences in assumptions, and so the health burden caused on the population by road traffic injuries remains unclear.

METHODS

We use an individual-based model and combine an epidemiological model of road traffic injuries with a health seeking behaviour and health system model. We provide a detailed representation of road traffic injuries in Malawi, from the onset of the injury through to the final health outcome. We also investigate the effects of an assumption made by other models that multiple injuries do not contribute to health burden caused by road accidents.

RESULTS

Our model estimates an overall average incidence of mortality between 23.5 and 29.8 per 100,000 person years due to road traffic injuries and an average of 180,000 to 225,000 disability-adjusted life years (DALYs) per year between 2010 and 2020 in an estimated average population size of 1,364,000 over the 10-year period. Our estimated incidence of mortality falls within the range of other estimates currently available for Malawi, whereas our estimated number of DALYs is greater than the only other estimate available for Malawi, the GBD estimate predicting and average of 126,200 DALYs per year over the same time period. Our estimates, which account for multiple injuries, predict a 22-58% increase in overall health burden compared to the model ran as a single injury model.

CONCLUSIONS

Road traffic injuries are difficult to model with conventional modelling methods, owing to the numerous types of injuries that occur. Using an individual-based model framework, we can provide a detailed representation of road traffic injuries. Our results indicate a higher health burden caused by road traffic injuries than previously estimated.

Involvement of Road Users from the Productive Age Group in Traffic Crashes in Saudi Arabia: An Investigative Study Using Statistical and Machine Learning Techniques

Road traffic crashes (RTCs) are a major problem for authorities and governments worldwide. They incur losses of property, human lives, and productivity. The involvement of teenage drivers and road users is alarmingly prevalent in RTCs since traffic injuries unduly impact the working-age group (15–44 years). Therefore, research on young people’s engagement in RTCs is vital due to its relevance and widespread frequency. Thus, this study focused on evaluating the factors that influence the frequency and severity of RTCs involving adolescent road users aged 15 to 44 in fatal and significant injury RTCs in Al-Ahsa, Saudi Arabia. In this study, firstly, descriptive analyses were performed to justify the target age group analysis. Then, prediction models employing logistic regression and CART were created to study the RTC characteristics impacting the target age group participation in RTCs. The most commonly observed types of crashes are vehicle collisions, followed by multiple-vehicle and pedestrian crashes. Despite its low frequency, the study area has a high severity index for RTCs, where 73% of severe RTCs include individuals aged 15 to 44. Crash events with a large number of injured victims and fatalities are more likely to involve people in the target age range, according to logistic regression and CART models. The CART model also suggests that vehicle overturn RTCs involving victims in the target age range are more likely to occur as a result of driver distraction, speeding, not giving way, or rapid turning. As compared with the logistic regression model, the CART model was more convenient and accurate for understanding the trends and predicting the involvement probability of the target age group in RTCs; however, this model requires a higher processing time for its development.

Provision of Care Following Road Traffic Injuries in a District in South India: A Qualitative Analysis of Stakeholder Perspective

Introduction:

It is essential to explore ways to prevent and reduce the severity of injuries in road crashes. This study attempts at getting a ground-level understanding of perspectives surrounding road traffic injury among various stakeholders.

Materials and Methods:

In-depth interviews and focused group discussions were conducted over a period of 6 months among traffic police, toll booth operators, road transport officers, nurses, and intensive care specialists. The transcribed data were coded and analyzed, and a percentage of final themes as well as codes were drawn.

Results:

The common reasons cited for delay in transport of accident victims were fear regarding medicolegal issues among the first responders (36.9%) and delay in ambulance (41.5%). 26.1% agreed that time delay in transport can be reduced by generating awareness. Teaching first aid to the general public is essential as opined by 75% of nursing staff and 66.7% of emergency physicians. Documentation procedures (15.4%), long waiting hours (10.2%), and out-of-pocket expenditure and financial constraints (10.2%) were the commonly cited reasons for problems faced by patient bystanders.

Conclusions:

Creating awareness and improving access to ambulance were the two essential recommendations to prevent delay in prehospital care. Majority of the care providers and patient bystanders agreed that improving insurance coverage is essential to reduce financial constraints.

Characteristics and outcomes following motorized and non-motorized vehicular trauma in a resource-limited setting

INTRODUCTION

Despite the ubiquity of motorized vehicular transport, non-motorized transportation continues to be common in sub-Saharan Africa.

METHODS

We performed a retrospective analysis of trauma patients presenting to Kamuzu Central Hospital in Malawi from February 2008 to May 2018. Demographic and clinical variables including injury characteristics and outcomes were collected. We performed bivariate and multivariate logistic regression to determine predictors of mortality following non-motorized vehicular trauma.

RESULTS

This study included 36,412 patients involved in vehicular road injuries. Patients in the non-motorized group had a preponderance of men (84% versus 73%, p<0.01). The proportion of patients with Glasgow Coma Scale > 8 was slightly higher in the non-motorized group (99% versus 98%, p<0.01), though injury severity did not differ significantly between the two groups. A higher proportion in the motorized group had the most severe injury of contusions and abrasions (56% versus 50%, p<0.01). In contrast, the non-motorized group had a higher proportion of orthopedic injuries (24% versus 16%, p<0.01). The crude mortality rate was 4.51% and 2.15% in the motorized and non-motorized groups, respectively. After controlling for demographic factors and injury severity, the incidence rate ratio of mortality did not differ significantly between motorized and non-motorized trauma groups (IRR 0.91, p=0.35).

CONCLUSIONS

Non-motorized vehicular trauma remains a significant proportion of morbidity and mortality resulting from road traffic injuries. The injury severity and incidence rate ratio of mortality did not differ between motorized and non-motorized trauma groups. Health care providers should not underestimate the severity of injuries from non-motorized trauma.

Assessment of the Influence of Technology-Based Distracted Driving on Drivers' Infractions and Their Subsequent Impact on Traffic Accidents Severity

Multitasking while driving negatively affects driving performance and threatens people’s lives every day. Moreover, technology-based distractions are among the top driving distractions that are proven to divert the driver’s attention away from the road and compromise their safety. This study employs recent data on road traffic accidents that occurred in Spain and uses a machine-learning algorithm to analyze, in the first place, the influence of technology-based distracted driving on drivers’ infractions considering the gender and age of the drivers and the zone and the type of vehicle. It assesses, in the second place, the impact of drivers’ infractions on the severity of traffic accidents. Findings show that (i) technology-based distractions are likely to increase the probability of committing aberrant infractions and speed infractions; (ii) technology-based distracted young drivers are more likely to speed and commit aberrant infractions; (iii) distracted motorcycles and squad riders are found more likely to speed; (iv) the probability of committing infractions by distracted drivers increases on streets and highways; and, finally, (v) drivers’ infractions lead to serious injuries.

Age-related differences in driving behaviors among non-professional drivers in Egypt

Purpose

This study aimed to investigate whether young and old non-professional drivers in South Egypt have aberrant driving behaviors compared with their middle-aged counterparts.

Materials and methods

In this cross-sectional study, a total of 1764 non-professional drivers aged ≥ 19 years, residing in Beni-Suef in South Egypt, and having ≥ one year of driving experience were randomly selected. All drivers were asked to fill out a self-administered questionnaire, including personal information, driving habits, and the Arabic version of the Driver Behavior Questionnaire which evaluates driving violations, errors, and lapses.

Results

This study included 560 young drivers (19–25 years), 850 middle-aged drivers (26–59 years), and 354 old drivers (≥ 60 years). Compared with middle-aged drivers, young drivers reported more non-use of the seatbelt, eating while driving, and driving while feeling drowsy. Old drivers, in contrast, showed more careful driving behaviors including fewer violations, errors, and lapses and less likelihood of driving while feeling sleepy.

Conclusion

This study supports the conception that young drivers pose less careful driving habits. Initiating educational programs targeting young drivers to improve their driving habits and create a traffic safety culture in Egypt is highly warranted.

Frequency, characteristics and hospital outcomes of road traffic accidents and their victims in Guinea: a three-year retrospective study from 2015 to 2017

BACKGROUND

Road traffic accidents (RTA) remain a global public health concern in developing countries. The aim of the study was to document the frequency, characteristics and hospital outcomes of road traffic accidents in Guinea from 2015 to 2017.

METHODS

We conducted a retrospective cohort study using medical records of RTA victims from 20 hospitals and a cross-sectional study of RTA cases from eight police stations in eight districts in Guinea, West Africa. Data analysis included descriptive statistics, trends of RTA, a sequence of interrupted time-series models and a segmented ordinary least-squares (OLS) regression.

RESULTS

Police stations recorded 3,140 RTA over 3 years with an overall annual increase in RTA rates from 14.0 per 100,000 population in 2015, to 19.2 per 100,000 population in 2016 (37.1% annual increase), to 28.7 per 100,000 population in 2017 (49.5% annual increase). Overall, the injury rates in 2016 and 2017 were .05 per 100,000 population higher on average per month (95% CI: .03-.07). Deaths from RTA showed no statistical differences over the 3 years and no association of RTA trends with season was found. Overall, 27,751 RTA victims were admitted to emergency units, representing 22% of all hospitals admissions. Most victims were males (71%) and young (33%). Deaths represented 1.4% of all RTA victims. 90% of deaths occurred before or within 24 h of hospital admission. Factors associated with death were being male (p = .04), being a child under 15 years (p = .045) or an elderly person aged ≥65 years (p < .001), and having head injury or coma (p < .001).

CONCLUSIONS

RTA rates in Guinea are increasing. There is a need for implementing multisectoral RTA prevention measures in Guinea.

Driving behavior and road traffic crashes among professional and nonprofessional drivers in South Egypt

Egypt has one of the highest traffic crash rates in the world. This study aims to investigate the correlates with driving behaviors and road traffic crashes (RTCs) among professional and nonprofessional drivers in South Egypt. A total of 518 drivers (203 professional and 315 nonprofessional) were interviewed and their sociodemographic characteristics, driving habits, and RTC involvement during the preceding 2 years were documented. The Arabic version of the Driver Behavior Questionnaire (DBQ) was used to assess drivers' lapses, errors, and violations. The results showed that professional drivers had more lapses (OR 3.03, 95% CI 1.54-5.96), errors (OR 2.88, 95% CI 1.44-5.76), and violations (OR 2.04, 95% CI 1.05-3.97) compared to nonprofessional drivers and female drivers were more likely to lapse than males (OR 3.18, 95% CI 1.79-5.66). RTC involvement was associated with female sex (OR 3.27, 95% CI 1.56-6.86), age < 30 years (OR 2.31, 95% CI 1.20-4.44), illiteracy (OR 1.51, 95% CI 1.02-2.23), eating while driving (OR 2.41, 95% CI 1.43-4.06), and not using seatbelt (OR 1.89, 95% CI 1.06-3.37). Driving lapses, errors, and violations did not significantly increase the risk of RTCs.

Epidemiology of Vehicle Fire Fatalities of Road Traffic Injuries in Kerman Province, Iran: A Cross-Sectional Study

BACKGROUND

Vehicle fires are one of the most important causes of fatalities in road traffic injuries (RTIs), but there are no accurate statistics about vehicle fire fatalities (VFFs) due to RTIs in Iran.

AIM

This study aimed to investigate the Epidemiology of vehicle fire fatalities (VFFs) due to road traffic injuries (RTIs) in Iran.

METHODS

In this cross-sectional study, a researcher-made checklist was used to collect the required data from the files of RTI fatalities in the Kerman Legal Medicine Organization (KLMO), or coroner's office. All reported victims of vehicle fires in the ten years from 2007 to 2017 were included in the study. The data were analysed using SPSS ver. 18, with p = 0.05 considered as the level of significance.

RESULTS

The authors found 124 cases of vehicle fire fatalities in Kerman, with a mean age of 30.45 ± 12.41, of which 50% were in the 25-49 years age group. Most frequently, the victims were Iranian (91.9%), married (66.1%), self-employed (51.6%), and urban dwellers (79.8%), and had died because of burns (91.9%). In 46.8% of cases, the victims were the driver, and in the remaining 53.2%, they were the passenger of the crashed vehicle. Most frequently, vehicle fires occurred on extra-urban roads (90.3%), during spring (35.5 %) or summer (32.3%), due to a vehicle-to-vehicle collision (66.9%), between sedans (69.9%), and at night (63.7%). Most victims died at the scene of the incident (87.9%) and had been transferred to hospital by an ambulance (71%).

CONCLUSION

This study indicated that car fires caused the death of young and middle-aged people. The authors suggest the implementation of preventative measures promoting car safety; establishing speed management; establishing laws governing driving, manufacturing and importation of vehicles; construction of safe roads; identifying accident-prone points; installing road warning signs; establishing more roadside stations; ensuring stricter police monitoring; and improving vehicle safety standards and public awareness about the risks of speeding.

Infrastructural and Human Factors Affecting Safety Outcomes of Cyclists

The increasing number of registered road crashes involving cyclists during the last decade and the high proportion of road crashes resulting in severe injuries and fatalities among cyclists constitutes a global issue for community health, urban development and sustainability. Nowadays, the incidence of many risk factors for road crashes of cyclists remains largely unexplained. Given the importance of this issue, the present study has been conducted with the aim of determining relationships between infrastructural, human factors and safety outcomes of cyclists. Objectives: This study aimed, first, to examine the relationship between key infrastructural and human factors present in cycling, bicycle-user characteristics and their self-reported experience with road crashes. And second, to determine whether a set of key infrastructural and human factors may predict their self-reported road crashes. Methods: For this cross-sectional study, a total of 1064 cyclists (38.8% women, 61.2% men; M = 32.8 years of age) from 20 different countries across Europe, South America and North America, participated in an online survey composed of four sections: demographic data and cycling-related factors, human factors, perceptions on infrastructural factors and road crashes suffered. Results: The results of this study showed significant associations between human factors, infrastructural conditions and self-reported road crashes. Also, a logistic regression model found that self-reported road crashes of cyclists could be predicted through variables such as age, riding intensity, risky behaviours and problematic user/infrastructure interactions. Conclusions: The results of this study suggest that self-reported road crashes of cyclists are influenced by features related to the user and their interaction with infrastructural characteristics of the road.