Older drivers, medical condition, medical impairment and crash risk

Alvarez, E.; Fierro, Inmaculada · 2007 · OpenAlex-citations

DOI: 10.1016/j.aap.2007.04.001

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Summary

This study investigates the relationship between age, medical condition, mileage, and crash risk among older drivers, addressing the controversy surrounding mandatory fitness-to-drive evaluations. While older drivers are often perceived as high-risk, previous research suggests this perception is skewed by the "low mileage bias," where drivers who travel fewer kilometers have higher crash rates per unit of distance regardless of age. The authors aimed to determine if older drivers’ apparent over-involvement in accidents disappears when mileage is accounted for and to assess whether medical impairments significantly contribute to crash risk. The researchers conducted a prospective study involving 4,316 drivers attending Medical Driving Test Centres in Spain for mandatory fitness-to-drive evaluations. Participants were categorized by age (<30, 31–64, 65–74, and ≥75 years) and annual mileage (low <3,000 km, medium 3,000–14,000 km, and high >14,000 km). Data included self-reported crash involvement over the year preceding and following the assessment, as well as medical evaluations determining if drivers were "fit," "fit with restrictions," or "unfit." Statistical analyses, including multivariate analysis of variance (MANOVA), were used to examine the effects of age, mileage, and medical status on crash rates per million kilometers driven. The results confirmed that crash rates were significantly influenced by age and mileage, but not by medical restrictions. Drivers aged ≥75 had lower crash rates than younger groups when mileage was controlled. Specifically, low-mileage drivers across all age groups exhibited significantly higher crash rates than medium- and high-mileage drivers. While the prevalence of medical conditions and the likelihood of being rated "fit with restrictions" increased with age and decreased with mileage, these medical statuses did not correlate with increased crash risk. The MANOVA showed significant effects for age-range (p < 0.0001) and mileage (p < 0.0001) on crash rates, but no significant effect for medical restriction status (p > 0.05). The study concludes that older drivers are not inherently a high-risk group; their elevated crash rates are primarily driven by low annual mileage rather than age-related medical impairment. The findings suggest that mandatory, age-based fitness-to-drive evaluations are not justified for the general older population, as medical restrictions do not predict crash risk. Instead, the authors support a targeted approach focusing on identifying and assessing specific high-risk drivers, rather than subjecting all older drivers to mandatory screening. This challenges policies that rely on blanket age-based testing and highlights the importance of accounting for exposure bias in traffic safety research.

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Topics

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• novice drivers
• older drivers
• incidence prevalence
• sex gender
• licensing policy
• mci dementia driving

Information type

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• Empirical Findings: crash risk outcomes