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Validation of Brief Screening Tools to Identify Impaired Driving Among Older Adults in Australia

IMPORTANCE: There is an urgent need to develop evidence-based assessments to identify older individuals who may be unsafe drivers. OBJECTIVE: To validate 8 off-road brief screening tests to predict on-road driving ability and to identify which combination of these provides the best prediction of old...

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Autores principales: Anstey, Kaarin J., Eramudugolla, Ranmalee, Huque, Md Hamidul, Horswill, Mark, Kiely, Kim, Black, Alex, Wood, Joanne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7301240/
https://www.ncbi.nlm.nih.gov/pubmed/32585021
http://dx.doi.org/10.1001/jamanetworkopen.2020.8263
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author Anstey, Kaarin J.
Eramudugolla, Ranmalee
Huque, Md Hamidul
Horswill, Mark
Kiely, Kim
Black, Alex
Wood, Joanne
author_facet Anstey, Kaarin J.
Eramudugolla, Ranmalee
Huque, Md Hamidul
Horswill, Mark
Kiely, Kim
Black, Alex
Wood, Joanne
author_sort Anstey, Kaarin J.
collection PubMed
description IMPORTANCE: There is an urgent need to develop evidence-based assessments to identify older individuals who may be unsafe drivers. OBJECTIVE: To validate 8 off-road brief screening tests to predict on-road driving ability and to identify which combination of these provides the best prediction of older adults who will not pass an on-road driving test. DESIGN, SETTING, AND PARTICIPANTS: This prognostic study was conducted between October 31, 2013, and May 10, 2017, using the criterion standard for screening tests, an on-road driving test, with analysis conducted from August 1, 2019, to April 2, 2020. A volunteer sample of older drivers was recruited from community advertisements, rehabilitation and driver assessment clinics, and an optometry clinic in Canberra and Brisbane, Australia. EXPOSURES: Off-road driver screening measures, including the Useful Field of View, DriveSafe/DriveAware, Multi-D battery, Trails B, Maze test, Hazard Perception Test, DriveSafe Intersection test, and 14-item Road Law test. MAIN OUTCOMES AND MEASURES: Classification as unsafe on a standardized 50-minute on-road driving assessment administered by a driving instructor and an occupational therapist masked to the participant’s clinical diagnosis and off-road test performance. RESULTS: A total of 560 drivers aged 63 to 94 years (mean [SD] age, 74.7 [6.2] years]; 350 [62.5%] men) were assessed. Logistic regression and receiver operating characteristic analyses indicated the area under the curve was largest for a multivariate model comprising the Multi-D, Useful Field of View, and Hazard Perception Test, with an area under the curve of 0.89 (95% CI, 0.85-0.94), sensitivity of 80.4%, and specificity of 84.1% for predicting unsafe drivers. The Multi-D battery was the most accurate individual assessment and had an area under the curve of 0.85 (95% CI, 0.79-0.90), sensitivity of 77.1%, and specificity of 82.1%. The multivariate model had sensitivity of 83.3% and specificity of 91.8% in the cognitively impaired group and sensitivity of 87.5% and specificity of 70.8% in the visually impaired group. CONCLUSIONS AND RELEVANCE: These findings suggest that off-road screening tests can reliably identify older drivers with a strong probability of failing an on-road driving test. Implementation of these measures could enable better targeting of resources for managing older driver licensing and support injury prevention strategies in this group.
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spelling pubmed-73012402020-06-22 Validation of Brief Screening Tools to Identify Impaired Driving Among Older Adults in Australia Anstey, Kaarin J. Eramudugolla, Ranmalee Huque, Md Hamidul Horswill, Mark Kiely, Kim Black, Alex Wood, Joanne JAMA Netw Open Original Investigation IMPORTANCE: There is an urgent need to develop evidence-based assessments to identify older individuals who may be unsafe drivers. OBJECTIVE: To validate 8 off-road brief screening tests to predict on-road driving ability and to identify which combination of these provides the best prediction of older adults who will not pass an on-road driving test. DESIGN, SETTING, AND PARTICIPANTS: This prognostic study was conducted between October 31, 2013, and May 10, 2017, using the criterion standard for screening tests, an on-road driving test, with analysis conducted from August 1, 2019, to April 2, 2020. A volunteer sample of older drivers was recruited from community advertisements, rehabilitation and driver assessment clinics, and an optometry clinic in Canberra and Brisbane, Australia. EXPOSURES: Off-road driver screening measures, including the Useful Field of View, DriveSafe/DriveAware, Multi-D battery, Trails B, Maze test, Hazard Perception Test, DriveSafe Intersection test, and 14-item Road Law test. MAIN OUTCOMES AND MEASURES: Classification as unsafe on a standardized 50-minute on-road driving assessment administered by a driving instructor and an occupational therapist masked to the participant’s clinical diagnosis and off-road test performance. RESULTS: A total of 560 drivers aged 63 to 94 years (mean [SD] age, 74.7 [6.2] years]; 350 [62.5%] men) were assessed. Logistic regression and receiver operating characteristic analyses indicated the area under the curve was largest for a multivariate model comprising the Multi-D, Useful Field of View, and Hazard Perception Test, with an area under the curve of 0.89 (95% CI, 0.85-0.94), sensitivity of 80.4%, and specificity of 84.1% for predicting unsafe drivers. The Multi-D battery was the most accurate individual assessment and had an area under the curve of 0.85 (95% CI, 0.79-0.90), sensitivity of 77.1%, and specificity of 82.1%. The multivariate model had sensitivity of 83.3% and specificity of 91.8% in the cognitively impaired group and sensitivity of 87.5% and specificity of 70.8% in the visually impaired group. CONCLUSIONS AND RELEVANCE: These findings suggest that off-road screening tests can reliably identify older drivers with a strong probability of failing an on-road driving test. Implementation of these measures could enable better targeting of resources for managing older driver licensing and support injury prevention strategies in this group. American Medical Association 2020-06-17 /pmc/articles/PMC7301240/ /pubmed/32585021 http://dx.doi.org/10.1001/jamanetworkopen.2020.8263 Text en Copyright 2020 Anstey KJ et al. JAMA Network Open. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the CC-BY License.
spellingShingle Original Investigation
Anstey, Kaarin J.
Eramudugolla, Ranmalee
Huque, Md Hamidul
Horswill, Mark
Kiely, Kim
Black, Alex
Wood, Joanne
Validation of Brief Screening Tools to Identify Impaired Driving Among Older Adults in Australia
title Validation of Brief Screening Tools to Identify Impaired Driving Among Older Adults in Australia
title_full Validation of Brief Screening Tools to Identify Impaired Driving Among Older Adults in Australia
title_fullStr Validation of Brief Screening Tools to Identify Impaired Driving Among Older Adults in Australia
title_full_unstemmed Validation of Brief Screening Tools to Identify Impaired Driving Among Older Adults in Australia
title_short Validation of Brief Screening Tools to Identify Impaired Driving Among Older Adults in Australia
title_sort validation of brief screening tools to identify impaired driving among older adults in australia
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7301240/
https://www.ncbi.nlm.nih.gov/pubmed/32585021
http://dx.doi.org/10.1001/jamanetworkopen.2020.8263
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