Understanding the factors of road crash severity in Benin: a matched case-control study.

Background: In Benin, due to the unavailability of comprehensive data on road crashes, road safety policies are mainly based on partial statistics provided by the police. These remain unreliable in terms of injury severity and risk factors. This study aims to determine the factors influencing the severity of injuries after a road crash in Benin. Methods: The present nested case-control study, matched for age and sex, was based on a hospital cohort of road crash victims set up in five hospitals in Benin between July 2019 and January 2020. A sample of severely injured patients according to the Abbreviated Injury Scale (cases) was compared to non-severely injured patients (controls). Results: The severe crash occurred mainly during the night between 8 p.m. and midnight (36.2% of cases vs. 24.4% of controls) and on main roads (57.8% of cases vs. 34.7% of controls). Factors associated with injury severity were the time of the crash: night between 8 p.m. and midnight [Adjusted Odd Ratio (AOR): 2.1; CI 95%: 1.4-3.2], major roads (national interstate roads and national roads) (AOR: 2.8; CI 95%: 2.0-4.0) and non-work-related travel (AOR: 1.8; CI 95%: 1.2-2.7). Conclusions: Factors associated with road crash severity in Benin were night-time, main roads, and non-work related travel. Raising user awareness about compliance with traffic rules and improving public lighting, especially along main roads could help reduce the number of serious injuries.

Prevalence of fatigue while driving among two-wheeled vehicle drivers and associated factors: Exploratory approach from secondary analysis based on hospital data, Benin.

Fatigue while driving is one of the risk factors of road crashes. It's still poorly considered in interventions because of insufficient literature. In addition, the literature on this issue doesn't focus on two-wheelers, the most frequent users in the Benin context. The study examined the prevalence of fatigue while driving among two-wheeled vehicle drivers and the related factors. It's a secondary baseline data analysis from a cohort of road crash victims recruited from five hospitals in Benin. Data were collected from July 2019 to January 2020. Patients who identified themselves as drivers during the accident were included. Data on individual characteristics, including fatigue status in the moments preceding the collision, and other risk factors and environmental settings, were extracted. We used multivariate logistic regression. Among the respondents, 12.20% (95% CI=10.20-14.53) reported fatigue in the moments preceding the collision. The odds of fatigue while driving were significantly higher in male drivers (aOR=3.60; 95% CI=1.08-11.98), during professional trips (aOR=2.09; 95% CI=1.30-3.37), in non-helmet wearers (aOR=1.85; 95% CI=1.09-3.13), in users of stimulants (aOR=3.13; 95% CI=1.50-6.54), in those with a history of chronic diseases (aOR=1.95; 95% CI=1.16-3.27), at dusk (aOR=4.22; 95% CI=2.22-8.02), at night (aOR=6.90; 95% CI=3.95-12.05), and on Inter-State National Roads (aOR=2.01; 95% CI=1.18-3.43). Fatigue is a risk factor for road crashes in Benin, associated with other risk factors that highlight particularly vulnerable profiles and groups. Integrating prevention policies based on these cumulative risk factors will result in efficiency improvements.

Implementation of a model of awareness-raising for taxi motorcyclists in Benin in relation to helmet use: protocol for a quasi-experimental study.

BACKGROUND: In the large cities of Benin, motorcycle taxi drivers, mainly between the ages of 20 and 40, are particularly exposed to accidents due to their profession. User awareness, along with legislative reforms and enforcement measures, would reduce the incidence of crashes and injuries. This study aims to test the effectiveness of an awareness-raising model regarding helmet use for motorcycle taxi drivers. METHODS: This is a quasi-experimental study that will take place in the cities of Parakou (intervention group) and Porto Novo (control group). Over a three-month period, a package of awareness-raising activities will be implemented in the intervention area, targeting a group of motorcycle taxi drivers. The messages to be developed for awareness-raising will focus on the most frequently influencing factors, as identified by the baseline collection. These key messages will be disseminated through various tools and communication channels (banners, motorcycle stickers and motorcycle taxi uniforms, interactive sessions). Data will be collected prospectively via a self-reported questionnaire and observation, carried out before the intervention, at the end, and 6 months later. The data will relate to knowledge, attitudes and practices regarding helmet use. The analysis will compare the indicators between the groups, as well as between the pre- and post-intervention phase. The KoboCollect software will be used for data entry and processing, and Stata 15 will be used for data analysis. Chi-square or Fisher, Student's or Kruskal-Wallis tests will be used for the comparisons. The difference-in-difference method will be used to determine the specific effect of the awareness activities. DISCUSSION: This study will assess the contribution of awareness messages to changing the behaviour of motorcycle taxi drivers by determining the specific effect of the intervention.