Older Driver Self-Screening Based on Health Concerns. Volume 1, Technical Report
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Summary
This technical report details the development and validation of a Web-based self-screening instrument designed to help older drivers assess how health concerns affect their driving abilities. The project was motivated by the growing population of older adults and the limitations of existing self-screening tools, which often focused on medical diagnoses rather than the specific symptoms and functional declines that impair driving. The authors aimed to create a tool that links the severity of health concerns—such as visual deficits, cognitive issues, and physical limitations—to critical driving skills, providing individualized feedback to promote safer driving decisions. The instrument, named SAFER Driving (Self-Awareness and FEedback for Responsible Driving), was developed through a multi-stage process involving an extensive literature review, an expert panel of geriatric and transportation specialists, and focus groups with older drivers. The final tool assesses 27 health concerns across cognitive, motor, and visual domains and links them to 15 critical driving skills. Users answer questions about symptom severity, and an algorithm generates tailored feedback, including recommendations for behavioral changes, further medical evaluation, and vehicle modifications. To evaluate the tool, researchers conducted a study with 68 older adult drivers in Southeastern Michigan. Participants completed the self-screening instrument and were subsequently assessed via clinical tests and on-road driving evaluations. The evaluation focused on user perceptions of usefulness and self-awareness, while validation involved statistically comparing self-screening scores with clinical and on-road performance metrics. The results indicated that the instrument was both useful and valid. More than three-fourths of participants reported increased awareness of how declines in driving-related abilities affect safety, and over 90% found the information a useful reminder. Notably, more than one-third of subjects discovered previously unknown changes in their condition. High percentages of users reported intentions to adopt safer behaviors, with 42% planning to change driving habits, 33% planning to take a refresher course, and 53% planning to consult a doctor. Furthermore, self-screening scores were significantly correlated with clinical evaluation scores and on-road driving performance, confirming the tool’s validity. The authors conclude that SAFER Driving is an effective, free, and publicly available resource for helping older drivers make informed decisions about their mobility.
Key finding
Self-screening instrument scores were significantly correlated with clinical evaluation and on-road driving performance scores.
Methodology
mixed_methods
Sample size: 68
Provenance
The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed. Discovered via bulk_ingest_rosap on 2026-05-23 (6 acquisition events logged).
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | rosap | — | — | 2 | 2026-05-23 |
| archive | success | — | — | — | 1 | 2026-05-23 |
| extract | success | cached | — | — | 2 | 2026-06-10 |
| clean | success | — | — | — | 1 | 2026-06-01 |
| chunk | success | — | — | — | 1 | 2026-06-01 |
| embed | success | — | — | — | 1 | 2026-06-02 |
| enrich | success | — | — | — | 1 | 2026-05-23 |
| promote | success | — | — | — | 1 | 2026-05-23 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 3 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 19 | 2026-06-11 |
| verify | success | — | — | — | 2 | 2026-06-10 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.
Topics
Ranked by relevance to this paper. Hover a topic for its definition.
- fitness to drive assessment
- older drivers
- older driver retraining
- mci dementia driving
- dbq psychometrics
- age related perceptual decline
Information type
What kind of knowledge this paper contributes, grouped by family — independent of topic (what it is about) and method (how it was studied).
- Applied Guidance: countermeasure evaluation
- Empirical Findings: observational prevalence
- Methodological Resource: validation psychometrics