Fitness-to-Drive Screening Measure©: Patterns and Trends for Canadian Users

Classen, Sherrilene; Medhizadah, Shabnam; Alvarez, Liliana

doi:10.15453/2168-6408.1227

Cited by 4 publications

(8 citation statements)

References 21 publications

(27 reference statements)

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“…In prior work, the FTDS (formerly called the Safe Driving Behavior Measure or SDBM) has undergone psychometric testing to indicate that it is a valid and reliable screening method for identifying at-risk older drivers (17). Using Google analytics (n.d.), the patterns and trends of FTDS users was explored and established (25). Specifically, we determined that although over 43,000 users have accessed the FTDS, they failed to spend the recommended 20 min to complete the FTDS.…”

Section: Introductionmentioning

confidence: 99%

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

Classen

Medhizadah

Romero

et al. 2018

Front. Public Health

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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.

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Section: Introductionmentioning

confidence: 99%

“…While the FTDS can detect at-risk older drivers, it is lengthy in administration (25). If we develop and implement an FTDS-SF, it will gain the FTDS wider uptake among proxies and clinicians.…”

Section: Introductionmentioning

confidence: 99%

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

Classen

Medhizadah

Romero

et al. 2018

Front. Public Health

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“…The Fitness-to-Drive Screening Measure © (FTDS) is a reliable and valid tool for identifying at-risk older drivers (Classen et al, 2015). Using Google Analytics reports, Classen et al (2016) found that numerous users are accessing the FTDS, but not completing it in its entirety which may potentially impact the measure's uptake. A shorter FTDS has been proposed and constructed to overcome the lengthy (and potentially problematic) completion time.…”

Section: Introductionmentioning

confidence: 99%

“…Despite the established reliability, validity and ability to identify at-risk older drivers, many users quit the 54-item FTDS before completing it (Classen et al, 2016). These researchers suggested that decreasing the time needed to complete the measure may potentially increase the utility of the FTDS.…”

Section: Introductionmentioning

confidence: 99%

The Concurrent Criterion Validity of the 32-Item Fitness-to-Drive Screening Measure

2019

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Background: The Fitness-to-Drive Screening Measure © (FTDS) is a free online screening tool that identifies at-risk older drivers. This tool screens for at-risk drivers using proxy rater responses (family, friends, and caregivers) to 54 driving-related items. Consumer usage analysis of the FTDS determined that reducing the time commitment to complete the 54-item FTDS might increase usability and uptake of the tool. To address this need, we used classical test theory and exploratory factor analysis to construct a 32-item version of the FTDS. This study aims to establish the concurrent criterion validity of the 32-item FTDS. Method: Two hundred older driver on-road assessments and Two hundred caregiver FTDS responses were used to generate a receiver operating characteristic (ROC) curve, in which we plotted the rate of true positives against the rate of false positives, calculated the area under the curve (AUC), and used Youden's index to identify the optimal cut-point for the 32-item FTDS. In this study, the true positive rate was the 32-item FTDS' ability to predict a fail when the older driver actually failed the on-road assessment, and the false positive rate was the the 32-item FTDS' ability to predict a pass when the older driver actually passed the on-road assessment. We computed the sensitivity, specificity, positive predictive value, negative predictive value and total number of misclassifications for the optimal cut-point. Results: The ROC curve results indicated an acceptable AUC, with a magnitude of 0.75, p < 0.05. At the optimal cut-point of 4.87, the 32-item FTDS had a sensitivity of 0.74, specificity of 0.69, positive predictive value of 0.30, negative predictive value of 0.93 and 61 (of 200) misclassifications. Conclusion: Although the 32-item FTDS met the criterion (AUC 0.75, p < 0.05.) for good concurrent criterion validity in predicting older driver on-road outcomes, it also misclassified 30% of the drivers and as such may be overly sensitive.

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“…The FTDS equips caregivers with strategies and resources for decision making related to continued driving, referral to rehabilitation, or driving cessation for the driver. Although the tool has been used quite extensively, a recent study (Classen, Medhizadah, & Alvarez, 2016) revealed that the current FTDS is not optimally used by end users and that a shorter FTDS (vs. the existing 54-item version) may potentially mitigate this problem. As such, this study's overarching objective was to reduce the number of items in the FTDS and examine the shorter FTDS' convergent validity with the 54-item FTDS.…”

Section: Introductionmentioning

confidence: 99%

Constructing the 32-item Fitness-to-Drive Screening Measure

Medhizadah

Classen

Johnson

2017

OTJR: Occupation, Participation and Health

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The Fitness-to-Drive Screening Measure (FTDS) enables proxies to identify at-risk older drivers via 54 driving-related items, but may be too lengthy for widespread uptake. We reduced the number of items in the FTDS and validated the shorter measure, using 200 caregiver responses. Exploratory factor analysis and classical test theory techniques were used to determine the most interpretable factor model and the minimum number of items to be used for predicting fitness to drive. The extent to which the shorter FTDS predicted the results of the 54-item FTDS was evaluated through correlational analysis. A three-factor model best represented the empirical data. Classical test theory techniques lead to the development of the 32-item FTDS. The 32-item FTDS was highly correlated ( r = .99, p = .05) with the FTDS. The 32-item FTDS may provide raters with a faster and more efficient way to identify at-risk older drivers.

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Fitness-to-Drive Screening Measure©: Patterns and Trends for Canadian Users

Cited by 4 publications

References 21 publications

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

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

The Concurrent Criterion Validity of the 32-Item Fitness-to-Drive Screening Measure

Constructing the 32-item Fitness-to-Drive Screening Measure

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