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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Implementation of a community-based mature driver screening and referral program: A feasibility study
Lea Ann Fortin-McCue1, Hassan Saleheen, Jacqueline McQuay
1The Trauma Institute, Hartford Hospital/Connecticut Children's Medical Center, 80 Seymour Street, Hartford, CT 06106, USA. lfortin@ccmckids.org
Accident; Analysis and Prevention
|July 24, 2012
Summary
Implementing a community driver screening program for mature drivers (age 65+) proved feasible. The program identified significant driving impairments and high participant satisfaction, with most intending to address issues.
Area of Science:
- Gerontology
- Public Health
- Transportation Safety
Background:
- Aging population necessitates assessment of driving capabilities in mature drivers.
- Community-based programs can facilitate early detection of age-related driving impairments.
- Roadwise Review instrument offers a feasible screening tool for older drivers.
Purpose of the Study:
- To evaluate the feasibility of a community-based mature driver screening and referral program.
- To identify driving impairments in drivers aged 65 and over.
- To assess participant satisfaction and intent to address identified driving issues.
Main Methods:
- Convenience sample of 151 mature drivers (≥65 years) recruited from senior centers.
- Utilized Roadwise Review screening instrument assessing 8 driving-related abilities.
- Collected demographic, driving history, and self-reported health data via surveys.
Main Results:
- 86% of participants showed mild driving impairments; 52% had serious impairments.
- Common issues included night vision difficulties (25%) and navigation challenges (31%).
- 75% received referrals, with 74% intending to follow up; 94% would recommend the program.
Conclusions:
- Community-based mature driver screening is feasible and effective in identifying impairments.
- High participant satisfaction and intent to address issues suggest program value.
- This model supports proactive management of driving safety in older adults.

