One of the aims of the Candrive Prospective Older Driver Study was to prospectively identify older drivers who were medically at risk for driving. 928 active older drivers were recruited across 7 Canadian sites and followed up to 7 years. The primary outcome was at-fault collision. Using Generalized Estimating Equations univariate analysis revealed 81 variables with a significance of p<0.1. Multivariate analysis of objective variables with adjustment for driving exposure resulted in a model where 6 variables including MVPT correct responses (p=0.008), previously being pulled over by police (p=0.023), previous crash involvement (p=0.006), left rapid foot taps (p=0.024), left wrist extension strength (p=0.020) and overall calmness (p=0.023) significantly contributed to identifying medically at risk older drivers. With further ongoing analysis these variables will assist in deriving an objective risk stratification tool that can be used by clinicians in an outpatient clinic setting.
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