Predicting on-road driving performance and safety in healthy older adults.

Auteur(s)
Jones Ross, R.W. Cordazzo, S.T.D. & Scialfa, C.T.
Jaar
Samenvatting

This study evaluated the ability to predict the on-road driving of older drivers using a battery of laboratory-based instruments. The Roadwise Review, a brief Hazard Perception Test and several tests of vision were given to 65 cognitively healthy, licensed older drivers (M = 74 years, SD = 9 years). They also participated in a standardized driving assessment of approximately 18 km, along a mixed residential and commercial route. Results showed that raw scores on the Roadwise Review did not predict accumulated points, or automatic disqualifications, but could predict who would pass or fail the on-road evaluation. The number of serious problems (excluding head and neck flexibility) that were identified by the Roadwise Review was a significant predictor of automatic disqualifications, and a significant predictor of passing or failing the on-road assessment. The Hazard Perception Test approached significance when predicting accumulated points and was a significant predictor of automatic disqualifications, as well as pass/fail outcomes. The study concludes that the best model for predicting passing or failing the on-road assessment included the Hazard Perception Test, color vision, and, a measure of walking speed from the Roadwise Review, which yielded a sensitivity of 82% and a specificity of 69% (AROC = .80). Future work will need to determine how these tests can be used with other information (e.g., medical history) to yield better diagnoses of fitness to drive, particularly among those who are medically at risk. (Author/publisher)

Publicatie aanvragen

1 + 0 =
Los deze eenvoudige rekenoefening op en voer het resultaat in. Bijvoorbeeld: voor 1+3, voer 4 in.

Publicatie

Bibliotheeknummer
20200308 ST [electronic version only]
Uitgave

Journal of Safety Research, Vol. 51 (December 2014), p. 73-80, ref.

Onze collectie

Deze publicatie behoort tot de overige publicaties die we naast de SWOV-publicaties in onze collectie hebben.