Office-Based Assessment of At-Risk Driving in Older Adults With and Without Cognitive Impairment

Robert A Stern; Linda M Abularach; Daniel R Seichepine; Michael L Alosco; Brandon E Gavett; Yorghos Tripodis

doi:10.1177/0891988716666378

Office-Based Assessment of At-Risk Driving in Older Adults With and Without Cognitive Impairment

Robert A Stern, Linda M Abularach, Daniel R Seichepine, Michael L Alosco, Brandon E Gavett, Yorghos Tripodis

Research output: Contribution to journal › Article › peer-review

15 Citations (Scopus)

Abstract

BACKGROUND: A multitest approach is optimal for the identification of at-risk driving among older adults. This study examined the predictive validity of a combination of office-based screening tests for on-road driving performance in older adults with and without mild cognitive impairment (MCI)/dementia.

METHODS: Forty-four normal control, 20 participants with MCI, and 20 participants with dementia completed a battery of office-based assessments. On-road driving evaluation classified participants as not at-risk (n = 65) or at-risk drivers (n = 19).

RESULTS: Logistic regression revealed age and 2 tests of visual attention abilities (Useful Field of View [UFOV] Divided Attention and Neuropsychological Assessment Battery [NAB] Driving Scenes) best predicted at-risk drivers ( C statistic = 0.90); no cutoff score had both sensitivity and specificity >80%.

CONCLUSIONS: Future research on larger and more clinically representative neurological samples will improve understanding of the utility of the UFOV Divided Attention and NAB Driving Scenes in detecting at-risk older adult drivers in the clinic.

Original language	English
Pages (from-to)	352-360
Number of pages	9
Journal	Journal of Geriatric Psychiatry and Neurology
Volume	29
Issue number	6
DOIs	https://doi.org/10.1177/0891988716666378
Publication status	Published - 1 Nov 2016
Externally published	Yes

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title = "Office-Based Assessment of At-Risk Driving in Older Adults With and Without Cognitive Impairment",

abstract = "BACKGROUND: A multitest approach is optimal for the identification of at-risk driving among older adults. This study examined the predictive validity of a combination of office-based screening tests for on-road driving performance in older adults with and without mild cognitive impairment (MCI)/dementia.METHODS: Forty-four normal control, 20 participants with MCI, and 20 participants with dementia completed a battery of office-based assessments. On-road driving evaluation classified participants as not at-risk (n = 65) or at-risk drivers (n = 19).RESULTS: Logistic regression revealed age and 2 tests of visual attention abilities (Useful Field of View [UFOV] Divided Attention and Neuropsychological Assessment Battery [NAB] Driving Scenes) best predicted at-risk drivers ( C statistic = 0.90); no cutoff score had both sensitivity and specificity >80%.CONCLUSIONS: Future research on larger and more clinically representative neurological samples will improve understanding of the utility of the UFOV Divided Attention and NAB Driving Scenes in detecting at-risk older adult drivers in the clinic.",

author = "Stern, {Robert A} and Abularach, {Linda M} and Seichepine, {Daniel R} and Alosco, {Michael L} and Gavett, {Brandon E} and Yorghos Tripodis",

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doi = "10.1177/0891988716666378",

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AU - Stern, Robert A

AU - Abularach, Linda M

AU - Seichepine, Daniel R

AU - Alosco, Michael L

AU - Gavett, Brandon E

AU - Tripodis, Yorghos

PY - 2016/11/1

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N2 - BACKGROUND: A multitest approach is optimal for the identification of at-risk driving among older adults. This study examined the predictive validity of a combination of office-based screening tests for on-road driving performance in older adults with and without mild cognitive impairment (MCI)/dementia.METHODS: Forty-four normal control, 20 participants with MCI, and 20 participants with dementia completed a battery of office-based assessments. On-road driving evaluation classified participants as not at-risk (n = 65) or at-risk drivers (n = 19).RESULTS: Logistic regression revealed age and 2 tests of visual attention abilities (Useful Field of View [UFOV] Divided Attention and Neuropsychological Assessment Battery [NAB] Driving Scenes) best predicted at-risk drivers ( C statistic = 0.90); no cutoff score had both sensitivity and specificity >80%.CONCLUSIONS: Future research on larger and more clinically representative neurological samples will improve understanding of the utility of the UFOV Divided Attention and NAB Driving Scenes in detecting at-risk older adult drivers in the clinic.

AB - BACKGROUND: A multitest approach is optimal for the identification of at-risk driving among older adults. This study examined the predictive validity of a combination of office-based screening tests for on-road driving performance in older adults with and without mild cognitive impairment (MCI)/dementia.METHODS: Forty-four normal control, 20 participants with MCI, and 20 participants with dementia completed a battery of office-based assessments. On-road driving evaluation classified participants as not at-risk (n = 65) or at-risk drivers (n = 19).RESULTS: Logistic regression revealed age and 2 tests of visual attention abilities (Useful Field of View [UFOV] Divided Attention and Neuropsychological Assessment Battery [NAB] Driving Scenes) best predicted at-risk drivers ( C statistic = 0.90); no cutoff score had both sensitivity and specificity >80%.CONCLUSIONS: Future research on larger and more clinically representative neurological samples will improve understanding of the utility of the UFOV Divided Attention and NAB Driving Scenes in detecting at-risk older adult drivers in the clinic.

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JF - Journal of Geriatric Psychiatry and Neurology

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ER -

Office-Based Assessment of At-Risk Driving in Older Adults With and Without Cognitive Impairment

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