Literature DB >> 33221660

Assessing fitness to drive in older adults: Validation and extension of an economical screening tool.

Philipp Schulz1, Thomas Beblo2, Stefan Spannhorst3, Sebastian Boedeker4, Stefan H Kreisel5, Martin Driessen4, Kirsten Labudda6, Max Toepper4.   

Abstract

OBJECTIVES: Due to demographic change, the number of older drivers with impaired driving skills will increase in the next decades. The current study aimed at the validation and extension of the screening tool Safety Advice For Elderly drivers (SAFE) that allows a cost-efficient assessment of driving-related risk factors in older drivers.
METHOD: Seventy-four older drivers aged ≥65 years (M = 77 years) recruited from the general population were included in this prospective observational study. Receiver operating characteristic curve (ROC) and hierarchical logistic regression analyses were utilized to examine whether the SAFE and further evidence-based driving-related factors may allow the differentiation between fit and unfit older drivers assessed in standardized on-road driving assessments.
RESULTS: ROC analyses revealed significant diagnostic accuracy of the number of SAFE risk factors in differentiating between fit and unfit older drivers (AUC = 0.71). A stepwise logistic regression model revealed that adding further evidence-based risk factors into the SAFE clearly improved diagnostic accuracy (AUC = 0.85). DISCUSSION: The current study shows that the risk assessed by the SAFE predicts on-road driving fitness in older adults. However, the results also suggest a need for a modification of the SAFE by the inclusion of additional evidence-based risk factors. With sensitivity and specificity scores of about 90 % and 75 %, this modified version may be more suitable for clinical use.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Assessment tools; Driving fitness; Older drivers; Risk factors; SAFE

Mesh:

Year:  2020        PMID: 33221660     DOI: 10.1016/j.aap.2020.105874

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  2 in total

1.  Driving-Related Cognitive Abilities: Evaluating Change over Time in a Sample of Older Adults Undergoing an Assessment Regarding Fitness to Drive.

Authors:  Stefania Balzarotti; Eleonora Pagani; Ilaria Telazzi; Martina Gnerre; Federica Biassoni
Journal:  Int J Environ Res Public Health       Date:  2022-10-06       Impact factor: 4.614

2.  Strong evidence for age as the single most dominant predictor of medically supervised driving test-mini mental status test outcomes provide only weak but significant moderate additional predictive value.

Authors:  Yannik Isler; Simon Schwab; Regula Wick; Stefan Lakämper
Journal:  BMC Geriatr       Date:  2022-03-24       Impact factor: 3.921

  2 in total

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