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. 2023 Dec 1;78(12):2348-2355.
doi: 10.1093/gerona/glad044.

Candrive-Development of a Risk Stratification Tool for Older Drivers

Affiliations

Candrive-Development of a Risk Stratification Tool for Older Drivers

Shawn Marshall et al. J Gerontol A Biol Sci Med Sci. .

Abstract

Background: Assessing an older adult's fitness-to-drive is an important part of clinical decision making. However, most existing risk prediction tools only have a dichotomous design, which does not account for subtle differences in risk status for patients with complex medical conditions or changes over time. Our objective was to develop an older driver risk stratification tool (RST) to screen for medical fitness-to-drive in older adults.

Methods: Participants were active drivers aged 70 and older from 7 sites across 4 Canadian provinces. They underwent in-person assessments every 4 months with an annual comprehensive assessment. Participant vehicles were instrumented to provide vehicle and passive Global Positioning System (GPS) data. The primary outcome measure was police-reported, expert-validated, at-fault collision adjusted per annual kilometers driven. Predictor variables included physical, cognitive, and health assessment measures.

Results: A total of 928 older drivers were recruited for this study beginning in 2009. The average age at enrollment was 76.2 (standard deviation [SD] = 4.8) with 62.1% male participants. The mean duration for participation was 4.9 (SD = 1.6) years. The derived Candrive RST included 4 predictors. Out of 4 483 person-years of driving, 74.8% fell within the lowest risk category. Only 2.9% of person-years were in the highest risk category where the relative risk for at-fault collisions was 5.26 (95% confidence interval = 2.81-9.84) compared to the lowest risk group.

Conclusions: For older drivers whose medical conditions create uncertainty regarding their fitness-to-drive, the Candrive RST may assist primary health care providers when initiating a conversation about driving and to guide further evaluation.

Keywords: Driving issues; Geriatric assessment; Primary care.

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Conflict of interest statement

M.B. was supported by a Canada Research Chair in Aging and Health during the development phase of this study. G.N. was supported by the George, Margaret and Gary Hunt Family Chair in Geriatric Medicine, University of Toronto, received a grant from the Canadian Consortium on Neurodegeneration in Aging and served as Chair for the Canadian Institutes of Health Research Institute on Aging Advisory Board. M.J.R. was supported by the Sunnybrook Psychiatry Partnership, received grants or contracts from the Canadian Institute of Health Research, Canadian Consortium of Neurodegeneration and Aging, and Centre for Brain Health Innovation, participated on a Data Safety Monitoring Board for a study on multiple sclerosis and exercise, and served as Program Director for Geriatric Psychiatry at the University of Toronto. M.M.P. received grants or contracts from the Social Sciences and Humanities Research Council, Natural Science and Engineering Research Council, Aging Gracefully across Environments using Technology to Support Wellness, Engagement and Long Life Networks of Centres of Excellence Inc., Canadian Institutes of Health Research, New Horizons for Seniors Program, Winnipeg Foundation, Riverview Health Centre Foundation, Mitacs, University Research Grants Program and served as Chair of the Board for Transportation Options Network for Seniors in Manitoba. S.K. served as a Board Member of the Association of the Advancement of Automotive Medicine. The other authors declare no conflict.

Figures

Figure 1.
Figure 1.
Flow diagram for variable selection for Candrive risk stratification tool from the Candrive prospective older driver study. MOCA = Montreal Cognitive Assessment; MVPT-3 = motor-free visual perception test-3; RST = risk stratification tool.
Figure 2.
Figure 2.
Nomogram using objective variables (at-fault collisions). MOCA = Montreal Cognitive Assessment.
Figure 3.
Figure 3.
Risk stratification tool categories demonstrating relative risk of at-fault collision adjusted for kilometers driven on older drivers.

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