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. 2018 Dec 6:6:339.
doi: 10.3389/fpubh.2018.00339. eCollection 2018.

Construction and Validation of the 21 Item Fitness-to-Drive Screening Measure Short-Form

Affiliations

Construction and Validation of the 21 Item Fitness-to-Drive Screening Measure Short-Form

Sherrilene Classen et al. Front Public Health. .

Erratum in

Abstract

Introduction: The Fitness-to-Drive Screening Measure is a free online screening tool that detects at-risk older drivers, however, it's 20 min administration time may render the 54-item tool less than optimal for clinical use. Thus, this study constructed and validated a 21-item FTDS Short-Form (FTDS-SF). Method: This mixed methods study used 200 proxy rater responses and older driver on-road assessments. We conducted a Rasch analysis to examine information at the level of the item and used content validity index scores to select items. Using a receiver operator characteristics curve we determined the concurrent validity of the FTDS-SF to on-road outcomes. Results: Twenty-one items were selected for the FTDS-SF. The area under the curve = 0.72, indicated the FTDS-SF predicted on-road outcomes with acceptable accuracy. Still, 68 drivers were misclassified. Conclusion: The FTDS-SF may reduce administration time, while still yielding acceptable psychometric properties. Yet, caution needs to be executed in clinical decision making as the measure is overly specific.

Keywords: aging; automobile driving; decision support system; fitness to drive; proxy raters.

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Figures

Figure 1
Figure 1
Flowchart of the procedures for constructing the Fitness-to-Drive Screening Measure Short-Form. FTDS, Fitness-to-Drive Screening measure; SE, Standard error; CVI, Content validity index.
Figure 2
Figure 2
ROC curve for the fitness-to-drive screening measure short-form. AUC = 0.72, p < 0.05, CI 95% [0.62–0.82], sensitivity = 0.71, specificity = 0.65, positive predictive value = 0.27, and negative predictive value = 0.92.

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