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Updated: Jun 8, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Increasing self-awareness among older drivers: the role of self-screening
Lisa J Molnar1, David W Eby, Paula S Kartje
1University of Michigan Transportation Research Institute (UMTRI) and Michigan Center for Advancing Safe Transportation throughout the Lifespan (M-CASTL), 2901 Baxter Road, Ann Arbor, MI 48109-2150, USA. ljmolnar@umich.edu
Introduction:
Self-screening by older drivers has shown considerable promise for increasing self-awareness about functional abilities associated with safe driving. The purpose of this study was to improve upon existing self-screening instruments by focusing entirely on "health concerns" that affect driving - that is, the symptoms that people experience due to medical conditions and the medications used to treat them - rather than the medical conditions or medications themselves.
Method:
A computer-based, easy-to-use self-screening instrument for older drivers was developed to provide individualized feedback intended to increase self-awareness about declines in driving-related abilities, as well as suggestions for behavioral changes or safety tips to maintain safe driving, further evaluation from a physician/health professional, and vehicle modifications to help compensate for driving-related declines.
Results:
This paper describes the development of the self-screening instrument and summarizes findings relative to increasing self-awareness among older drivers. This research represents an important first step in improving self-awareness among older drivers through self-screening.
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