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Fit2Drive: Screening Older Drivers with Cognitive Concerns.

Ruth Tappen1, David Newman1, Monica Rosselli2

  • 1Christine E. Lynn College of Nursing, Florida Atlantic University, Boca Raton, FL, USA.

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|June 6, 2024
PubMed
Summary
This summary is machine-generated.

A new algorithm, Fit2Drive, accurately predicts older drivers' driving ability using cognitive tests. This tool can help identify drivers needing further evaluation for road safety.

Keywords:
Alzheimer's diseasedementiadriving cessationolder driverscreening

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Area of Science:

  • Gerontology
  • Neuroscience
  • Psychometrics

Background:

  • Older drivers face increased risks on the road.
  • Cognitive decline can impair driving ability.
  • Predictive screening tools are needed for in-office use.

Purpose of the Study:

  • To identify the most effective combination of cognitive tests for predicting driving ability.
  • To develop a parsimonious screening measure for in-office administration.
  • To assess the diagnostic accuracy of a novel predictive algorithm.

Main Methods:

  • A psychometric study involving 412 older drivers.
  • Comparison of cognitive tests (MMSE, Trail Making Tests A & B, Clock Test, Hopkins Verbal Learning Test, Driving Health Inventory) with on-road driving evaluations.
  • Development of a predictive algorithm (Fit2Drive) using logistic regression and receiver operating characteristic curves.

Main Results:

  • Trail Making Test B time was highly correlated with on-road performance (r = -0.713).
  • The Fit2Drive algorithm, combining Trail Making Test B and Mini-Mental State Exam (MMSE) scores, achieved a high predictive accuracy (Area Under Curve = 0.915).
  • The algorithm demonstrated 91.5% predictive accuracy for passing the on-road evaluation.

Conclusions:

  • The Fit2Drive algorithm shows significant potential for accurately screening older drivers' fitness to drive.
  • This tool could facilitate early identification of at-risk drivers in clinical settings.
  • Further rigorous testing is needed to confirm its utility in routine patient consultations.