Driving exposure, patterns and safety critical events for older drivers with and without mild cognitive impairment: Findings from a naturalistic driving study

Feng, Ying Ru; Meuleners, Lynn; Stevenson, Mark; Heyworth, Jane; Murray, Kevin; Fraser, Michelle; Maher, Sean

doi:10.1016/j.aap.2020.105965

Cited by 11 publications

(9 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, the strong predictive validity showed that these three driving errors can be used together or individually to predict fail outcomes in older drivers with CI. These findings are consistent with prior studies, which show that older drivers with CI/dementia with losses in memory can become worried, confused, or get lost while driving in more challenging situations than healthy controls, which can contribute to adjustment to stimuli, lane maintenance, and speed regulation errors, as well as more critical events or dangerous situations ( Barco et al, 2015 ; Davis et al, 2018 ; R. L. Davis & Ohman, 2017 ; R. L. Davis & Owens, 2021 ; Feng et al, 2021 ; Paire-Ficout et al, 2018 ). Given the strong predictive validity found in our study, driving assessors should prioritize adjustment to stimuli, lane maintenance, and speed regulation errors when assessing fitness to drive in older drivers with CI/dementia.…”

Section: Discussionsupporting

confidence: 92%

See 1 more Smart Citation

Driving Errors Predicting Pass/Fail On-Road Assessment Outcomes Among Cognitively Impaired Older Drivers

Krasniuk

Mychael

Crizzle

2022

OTJR: Occupation, Participation and Health

View full text Add to dashboard Cite

Older drivers with cognitive impairment (CI)/dementia make significantly more driving errors than healthy controls; however, whether driving errors are predictive of pass/fail outcomes in older drivers with CI/dementia are unclear. This study determined the driving errors that predicted failing an on-road assessment in drivers with CI. We retrospectively collected comprehensive driving evaluation data of 80 participants (76.1 ± 9.3 years) from an Ontario driving assessment center. Adjustment to stimuli (area under the curve [AUC] = 0.88), lane maintenance (AUC = 0.84), and speed regulation errors (AUC = 0.85) strongly predicted pass/fail outcomes. Worse performance on the Trails B (time) and Useful Field of View® (Subtest 2, Subtest 3, and risk index) were significantly correlated with adjustment to stimuli ( p < .05), lane maintenance ( p < .05), and speed regulation errors ( p < .05). Adjustment to stimuli, lane maintenance, and speed regulation errors may be critical indicators of failing an on-road assessment in older drivers with CI. Prioritizing these errors may help identify at-risk drivers.

show abstract

Section: Discussionsupporting

confidence: 92%

“…L. Davis & Ohman, 2017; R. L. Davis & Owens, 2021; Feng et al, 2021; Paire-Ficout et al, 2018). Given the strong predictive validity found in our study, driving assessors should prioritize adjustment to stimuli, lane maintenance, and speed regulation errors when assessing fitness to drive in older drivers with CI/dementia.…”

Section: Discussionmentioning

confidence: 99%

Driving Errors Predicting Pass/Fail On-Road Assessment Outcomes Among Cognitively Impaired Older Drivers

Krasniuk

Mychael

Crizzle

2022

OTJR: Occupation, Participation and Health

View full text Add to dashboard Cite

show abstract

“…The 29 studies of kinematic driving data from drivers with chronic conditions can be broadly categorized as: (1) feasibility testing of kinematic driving data collection in the context of chronic conditions 13,25,26 ; (2) comparing standardized on‐road or simulation assessments with kinematic driving behavior in naturalistic settings 15,27,28 ; (3) characterizing driving behavior effects associated with chronic conditions 2,14,16,18–24,29–35 ; or (4) predicting symptoms or disease classification from kinematic driving data 17,36–40 . The median duration of driving data collection was 1.8 months (mode = 2 weeks).…”

Section: Resultsmentioning

confidence: 99%

Driving among individuals with chronic conditions: A systematic review of applied research using kinematic driving sensors

Mukherjee,

McDonald,

Kesler

et al. 2024

J American Geriatrics Society

View full text Add to dashboard Cite

BackgroundKinematic driving data studies are a novel methodology relevant to health care, but prior studies have considerable variance in their methods, populations, and findings suggesting a need for critical analysis and appraisal for feasibility and methodological guidelines.MethodsWe assessed kinematic driving studies of adults with chronic conditions for study feasibility, characteristics, and key findings, to generate recommendations for future study designs, and to identify promising directions for applications of kinematic driving data. PRISMA was used to guide the review and searches included PubMed, CINAHL, and Compendex. Of 379 abstract/titles screened, 49 full‐text articles were reviewed, and 29 articles met inclusion criteria of analyzing trip‐level kinematic driving data from adult drivers with chronic conditions.ResultsThe predominant chronic conditions studied were Alzheimer's disease and related Dementias, obstructive sleep apnea, and diabetes mellitus. Study objectives included feasibility testing of kinematic driving data collection in the context of chronic conditions, comparisons of simulation with real‐world kinematic driving behavior, assessments of driving behavior effects associated with chronic conditions, and prognostication or disease classification drawn from kinematic driving data. Across the studies, there was no consensus on devices, measures, or sampling parameters; however, studies showed evidence that driving behavior could reliably differentiate between adults with chronic conditions and healthy controls.ConclusionsVehicle sensors can provide driver‐specific measures relevant to clinical assessment and interventions. Using kinematic driving data to assess and address driving measures of individuals with multiple chronic conditions is positioned to amplify a functional outcome measure that matters to patients.

show abstract

“…This cross-sectional naturalistic driving study examining speeding events in older drivers is part of a larger prospective cohort study examining the association between cognitive ability and driving. [26][27][28] Speeding events, which were measured using an in-vehicle monitoring device over a two-week period, were examined in 35 older drivers with suspected MCI, defined by the Montreal Cognitive Assessment (MoCA), and 36 older drivers with no cognitive impairment.…”

Section: Methodsmentioning

confidence: 99%

The Impact of Cognition and Gender on Speeding Behaviour in Older Drivers with and without Suspected Mild Cognitive Impairment

Feng¹,

Meuleners²,

Stevenson

et al. 2021

CIA

Self Cite

View full text Add to dashboard Cite

Purpose Mild cognitive impairment and gender can impact different aspects of driving performance and behaviour in older drivers. However, there is little evidence on how these may affect naturalistic speeding behaviour. Therefore, the aim of this study was to examine the relationship between speeding events and cognitive status for older male and female drivers. Participants and Methods A naturalistic driving study collected objective driving information over a two-week period using an in-vehicle monitoring device from 36 older drivers with suspected mild cognitive impairment and 35 older drivers without cognitive impairment. The outcome of interest examined was the number of speeding events, defined as travelling 5+ km/h over the posted speed limit for at least a minute. Results The majority of participants (n=58, 81.69%) did not have a speeding event during the two-week monitoring period. Twenty-three speeding events were recorded among seven drivers with suspected mild cognitive impairment and six drivers without cognitive impairment. The majority of speeding events (82.61%) were by older male drivers and occurred in 60km/h and 70km/h speed zones. The results of the two negative binomial regression models found that in older male drivers, suspected mild cognitive impairment (IRR=7.45, 95% CI=1.53–36.15, p=0.01) was associated with a significantly higher rate of speeding events, while increasing age was associated with a lower rate of speeding events (IRR=0.80, 95% CI=0.64–1.00, p=0.04). For older female drivers, there were no factors significantly associated with the rate of speeding events. Conclusion While the overall number of speeding events were infrequent, suspected mild cognitive impairment was associated with a significant increase in the rate of speeding events for older male drivers, but not for older female drivers. Speeding interventions and injury prevention policy strategies may need to be targeted differently for male and female drivers with mild cognitive impairment.

show abstract

Driving exposure, patterns and safety critical events for older drivers with and without mild cognitive impairment: Findings from a naturalistic driving study

Cited by 11 publications

References 52 publications

Driving Errors Predicting Pass/Fail On-Road Assessment Outcomes Among Cognitively Impaired Older Drivers

Driving Errors Predicting Pass/Fail On-Road Assessment Outcomes Among Cognitively Impaired Older Drivers

Driving among individuals with chronic conditions: A systematic review of applied research using kinematic driving sensors

The Impact of Cognition and Gender on Speeding Behaviour in Older Drivers with and without Suspected Mild Cognitive Impairment

Contact Info

Product

Resources

About