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

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...

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Main Authors: Sherrilene Classen, Shabnam Medhizadah, Sergio Romero, Mi Jung Lee
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-12-01
Series:Frontiers in Public Health
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fpubh.2018.00339/full
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spelling doaj-d010139dcf8949baace462c1f5882c5f2020-11-24T23:09:14ZengFrontiers Media S.A.Frontiers in Public Health2296-25652018-12-01610.3389/fpubh.2018.00339425038Construction and Validation of the 21 Item Fitness-to-Drive Screening Measure Short-FormSherrilene Classen0Shabnam Medhizadah1Sergio Romero2Sergio Romero3Mi Jung Lee4Department of Occupational Therapy, University of Florida, Gainesville, FL, United StatesDepartment of Occupational Therapy, University of Florida, Gainesville, FL, United StatesDepartment of Occupational Therapy, University of Florida, Gainesville, FL, United StatesCenter of Innovation on Disability & Rehabilitation Research, United States Department of Veterans Affairs, Gainesville, FL, United StatesCenter of Innovation on Disability & Rehabilitation Research, United States Department of Veterans Affairs, Gainesville, FL, United StatesIntroduction: 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.https://www.frontiersin.org/article/10.3389/fpubh.2018.00339/fullagingproxy ratersdecision support systemautomobile drivingfitness to drive
collection DOAJ
language English
format Article
sources DOAJ
author Sherrilene Classen
Shabnam Medhizadah
Sergio Romero
Sergio Romero
Mi Jung Lee
spellingShingle Sherrilene Classen
Shabnam Medhizadah
Sergio Romero
Sergio Romero
Mi Jung Lee
Construction and Validation of the 21 Item Fitness-to-Drive Screening Measure Short-Form
Frontiers in Public Health
aging
proxy raters
decision support system
automobile driving
fitness to drive
author_facet Sherrilene Classen
Shabnam Medhizadah
Sergio Romero
Sergio Romero
Mi Jung Lee
author_sort Sherrilene Classen
title Construction and Validation of the 21 Item Fitness-to-Drive Screening Measure Short-Form
title_short Construction and Validation of the 21 Item Fitness-to-Drive Screening Measure Short-Form
title_full Construction and Validation of the 21 Item Fitness-to-Drive Screening Measure Short-Form
title_fullStr Construction and Validation of the 21 Item Fitness-to-Drive Screening Measure Short-Form
title_full_unstemmed Construction and Validation of the 21 Item Fitness-to-Drive Screening Measure Short-Form
title_sort construction and validation of the 21 item fitness-to-drive screening measure short-form
publisher Frontiers Media S.A.
series Frontiers in Public Health
issn 2296-2565
publishDate 2018-12-01
description 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.
topic aging
proxy raters
decision support system
automobile driving
fitness to drive
url https://www.frontiersin.org/article/10.3389/fpubh.2018.00339/full
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