| Predicting driving performance in older adults: we are not there yet! | |
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MedLine Citation:
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PMID: 18696390 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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OBJECTIVE: We set up this study to determine the predictive value of approaches for which a statistical association with driving performance has been documented. METHODS: We determined the statistical association (magnitude of association and probability of occurrence by chance alone) between four different predictors (the Mini-Mental State Examination, Trails A test, Useful Field of View [UFOV], and a composite measure of past driving incidents) and driving performance. We then explored the predictive value of these measures with receiver operating characteristic (ROC) curves and various cutoff values. RESULTS: We identified associations between the predictors and driving performance well beyond the play of chance (p < .01). Nonetheless, the predictors had limited predictive value with areas under the curve ranging from .51 to .82. CONCLUSIONS: Statistical associations are not sufficient to infer adequate predictive value, especially when crucial decisions such as whether one can continue driving are at stake. The predictors we examined have limited predictive value if used as stand-alone screening tests. |
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Authors:
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Michel Bédard; Bruce Weaver; Peteris Darzins; Michelle M Porter |
Publication Detail:
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Type: Comparative Study; Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Traffic injury prevention Volume: 9 ISSN: 1538-957X ISO Abbreviation: Traffic Inj Prev Publication Date: 2008 Aug |
Date Detail:
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Created Date: 2008-08-12 Completed Date: 2008-10-24 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101144385 Medline TA: Traffic Inj Prev Country: United States |
Other Details:
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Languages: eng Pagination: 336-41 Citation Subset: IM |
Affiliation:
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Lakehead University, Thunder Bay, Ontario, Canada. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Accident Prevention
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statistics & numerical data Accidents, Traffic / prevention & control, statistics & numerical data* Age Factors Aged Aged, 80 and over Automobile Driver Examination / statistics & numerical data Automobile Driving / statistics & numerical data* Canada Cohort Studies Confidence Intervals Female Geriatric Assessment Humans Male Middle Aged Needs Assessment Odds Ratio Predictive Value of Tests Probability Registries Risk Factors Safety Sensitivity and Specificity Task Performance and Analysis* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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