Many older drivers are at higher risk of traffic crashes because of diseases, medications, and aging-related impairments, but no single clinical or demographic attribute accurately predicts future crashes. Existing screening tools require special examinations, equipment, or family presence; apply only to cognitively impaired drivers; or are too lengthy for busy settings. Clinical decision rules provide a model for brief older driver screening by clinicians because they are developed from research rather than expert consensus and typically have simple scoring systems. To inform development of a decision rule for older driver screening, the current study sought to identify health- and driving-related questions associated with self-reported adverse driving events (ADEs) using only simple questions Corrected by Erratum (http://dx.doi.org/10.1111/jgs.12127), Vol. 60, Issue 12, 2386.
Samenvatting