Grant: Summer Program in Aging

Driving safety among older adults with cognitive impairments, such as mild cognitive impairment (MCI) and dementia, is a growing public health challenge that directly impacts both individual independence and community safety. Driving, which relies on the integration of sensory, motor, and cognitive functions, becomes increasingly challenging with age, leading to a higher incidence of motor vehicle injuries-the second leading cause of unintentional death in older adults (Martin et al., 2011). Yet, being able to drive is key to staying independent and managing everyday life (Gilhotra et al., 2001). This project aims to develop a data-driven approach to enhance driving safety among older adults with cognitive impairments using a GPS-based Driving Monitoring System (DMS). The study will employ a cross-sectional design with 60 participants aged 65 and older from two Canadian sites (Calgary and Toronto), including three groups: healthy older adults, those with MCI, and those with mild dementia. Over eight weeks, the DMS will continuously collect real-time, driving data, allowing for an objective assessment of driving behaviour, complemented by baseline clinical and cognitive evaluations. This study will leverage machine learning models and newly developed algorithms to classify cognitive impairment levels based on driving patterns and assess the usability and acceptability of the DMS among participants. This approach aims to uncover specific behavioural markers associated with cognitive decline to better understand the different stages of dementia. By providing continuous, objective data, the DMS reduces reliance on subjective self-reports and limited clinical assessments, offering insights into driving behaviours that may indicate a cognitive decline. The outcomes of this research could significantly improve current clinical practices, providing a valuable tool for healthcare professionals to make more informed decisions regarding driving safety in older adults.