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

Medhizadah, Shabnam; Classen, Sherrilene; Johnson, Andrew M.

doi:10.1177/1539449217741136

Cited by 3 publications

(5 citation statements)

References 15 publications

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“…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. To overcome this issue, our research team recommended decreasing the completion time of the FTDS by reducing the number of items, thus, the FTDS underwent item reduction (26). Using classical test theory rather than item response theory, the 54-item FTDS was reduced to a 32-item version.…”

Section: Introductionmentioning

confidence: 99%

“…Using classical test theory rather than item response theory, the 54-item FTDS was reduced to a 32-item version. Validity testing of the 32-item FTDS indicated excellent concurrent validity with the 54-item FTDS ( r = 0.99) (26). ROC curve results indicated the 32-item version could correctly discriminate between drivers who passed or failed the on-road assessment (AUC = 0.75, p < 0.05, 95% CI [0.65, 0.84]; Medhizadah, Classen, & Johnson, submitted).…”

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%

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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“…A shorter FTDS has been proposed and constructed to overcome the lengthy (and potentially problematic) completion time. The psychometric properties of the 32-item measure look promising as it correlates well with the original FTDS measure (Medhizadah et al, 2018). Establishing the validity of the 32-item FTDS will be the first step toward empirically establishing the measure's potential to differentiate between older drivers who would pass or fail an on-road assessment.…”

Section: Introductionmentioning

confidence: 98%

“…These researchers suggested that decreasing the time needed to complete the measure may potentially increase the utility of the FTDS. Medhizadah et al (2018) constructed a shorter 32-item FTDS that may decrease completion time and potentially increase utilization of the FTDS as per its original intent. This 32-item FTDS demonstrated excellent factorial validity (as illustrated by an exploratory factor analysis) and internal consistency reliability for each factor (Cronbach's alpha = 0.96, 0.88, 0.88).…”

Section: Introductionmentioning

confidence: 99%

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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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Effect of Fitness-To-Drive and Metacognition on Road Traffic Injury Among Older Taxi Drivers: Hierarchical Modeling

Laosee,

Sritoomma,

Rattanapan

et al. 2024

J Appl Gerontol

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Age-related cognitive and somatic motor skills changes have been linked to impaired driving abilities. Taxi drivers play an important role in providing public transportation services and security. This study aimed to examine the level of fitness-to-drive (FTD) and identify the predictors of self-reported traffic injury among the older taxi drivers. Taxi drivers 60 years and older in Bangkok and the metropolitan area were enrolled. Hierarchical regression models were carried out to examine the effects of demographics, FTD, and metacognition towards self-reported road traffic injury. Totally, 46.1% of the respondents were classified as at-risk drivers. Drivers with alcohol consumption and low risk perception toward road safety were more likely to experience road traffic injury. Regular assessment of physical and psychometric capacity among older taxi drivers could provide another empirical basis to improve public safety transport.

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

Cited by 3 publications

References 15 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

Effect of Fitness-To-Drive and Metacognition on Road Traffic Injury Among Older Taxi Drivers: Hierarchical Modeling

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