The driving competence of 90-year-old drivers: from a hospital-based driving clinic

Determinants of driving among oldest-old Australian women

This study examined predictors of driving among oldest-old Australian women in their late 80s in accordance with the World Health Organization's healthy aging framework. The study used data from the 1921-26 cohort of the Australian Longitudinal Study on Women's Health, wave-6 (n = 4025). The result of the multivariable logistic regression showed providing care, living alone, volunteering, living in rural/outer regional Australia, having higher educational attainment, and social interactions were associated with driving. The findings indicate driving should not be dismissed based on age alone. Policymakers need to also consider social roles, driving environment and context with the goals of healthy aging.

Cognitive Reserve and Driving-Related Cognitive Abilities in a Sample of Oldest Old Drivers Undergoing Assessment of Fitness to Drive

This study examines the relationship between age, cognitive reserve (CR), and driving-related cognitive abilities in a sample of oldest old drivers undergoing evaluation of fitness to drive. Structural equation modeling was used to investigate the associations between age, CR, and performances to a standardized set of cognitive tests assessing fitness to drive. Education and work complexity were used as proxy measures of CR. The results showed both measures of CR, but not age, were significantly associated with higher general intelligence. Education also predicted higher decision speed, and decision speed partly mediated the effect of education on general intelligence. These findings suggest that over age of 80 years old, CR was a better predictor of driving-related cognitive abilities than age. Education was associated with better performance across different cognitive domains including processing speed.

The Impact of Advanced Age on Driving Safety in Adults with Medical Conditions

BACKGROUND

Adults aged 85 and older, often referred to as the oldest-old, are the fastest-growing segment of the population. The rapidly increasing number of older adults with chronic and multiple medical conditions poses challenges regarding their driving safety.

OBJECTIVE

To investigate the effect of advanced age on driving safety in drivers with medical conditions.

METHODS

We categorized 3,425 drivers with preexisting medical conditions into four age groups: middle-aged (55-64 years, n = 1,386), young-old (65-74 years, n = 1,013), old-old (75-84 years, n = 803), or oldest-old (85 years and older, n = 223). All underwent a formal driving evaluation. The outcome measures included fitness to drive recommendation by the referring physician, comprehensive fitness to drive decision from an official driving evaluation center, history of motor vehicle crashes (MVCs), and history of traffic violations.

RESULTS

The oldest-old reported more cardiopulmonary and visual conditions, but less neurological conditions than the old-old. Compared to the middle-aged, the oldest-old were more likely to be considered unfit to drive by the referring physicians (odds ratio [OR] = 4.47, 95% confidence interval [CI] 2.20-9.10) and by the official driving evaluation center (OR = 2.74, 95% CI 1.87-4.03). The oldest-old reported more MVCs (OR = 2.79, 95% CI 1.88-4.12) compared to the middle-aged.

CONCLUSION

Advanced age adversely affected driving safety outcomes. The oldest-old are a unique age group with medical conditions known to interfere with safe driving. Driving safety strategies should particularly target the oldest-old since they are the fastest-growing group and their increased frailty is associated with severe or fatal injuries due to MVCs.

Clinical Utility of the Trail-Making Test as a Predictor of Driving Performance in Older Adults

OBJECTIVES

To assess the clinical utility of the Trail-Making Tests (TMTs) as screens for impaired road-test performance.

DESIGN

Secondary analyses of three data sets from previously published studies of impaired driving in older adults using comparable road test designs and outcome measures.

SETTING

Two academic driving specialty clinics.

PARTICIPANTS

Older drivers (N = 392; 303 with cognitive impairment, 89 controls) from Rhode Island and Missouri.

MEASUREMENTS

Standard operating characteristics were evaluated for the TMT Part A (TMT-A) and Part B (TMT-B), as well as optimal upper and lower test cut-points that could be useful in defining groups of drivers with indeterminate likelihood of impaired driving who would most benefit from further screening or on-road testing.

RESULTS

Discrimination remained high (>70%) when cut-points for the TMTs derived from Rhode Island data were applied to Missouri data, but calibration was poor (all P < .01). TMT-A provided the best utility for determining a range of scores (68-90 seconds) for which additional road testing would be indicated in general practice settings. A high frequency of cognitively impaired participants unable to perform the TMT-B test within the allotted time limited the utility of the test (>25%). Mere inability to complete the test in a reasonable time frame (e.g., TMT-A > 48 seconds or TMT-B > 108 seconds) may still be a useful tool in separating unsafe from safe or marginal drivers in such samples.

CONCLUSION

The TMTs (particularly TMT-A) may be useful as screens for driving impairment in older drivers in general practice settings, where most people are still safe drivers, but more-precise screening measures need to be analyzed critically in a variety of clinical settings for testing cognitively impaired older drivers.

Car drivers with dementia: Different complications due to different etiologies?

OBJECTIVE

Older drivers with dementia are an at-risk group for unsafe driving. However, dementia refers to various etiologies and the question is whether dementias of different etiology have similar effects on driving ability.

METHODS

The literature on the effects of dementia of various etiologies on driving ability is reviewed. Studies addressing dementia etiologies and driving were identified through PubMed, PsychINFO, and Google Scholar.

RESULTS AND CONCLUSIONS

Early symptoms and prognoses differ between dementias of different etiology. Therefore, different etiologies may represent different likelihoods with regard to fitness to drive. Moreover, dementia etiologies could indicate the type of driving problems that can be expected to occur. However, there is a great lack of data and knowledge about the effects of almost all etiologies of dementia on driving. One could hypothesize that patients with Alzheimer's disease may well suffer from strategic difficulties such as finding a route, whereas patients with frontotemporal dementia are more inclined to make tactical-level errors because of impaired hazard perception. Patients with other dementia etiologies involving motor symptoms may suffer from problems on the operational level. Still, the effects of various etiologies of dementias on driving have thus far not been studied thoroughly. For the detection of driving difficulties in patients with dementia, structured interviews with patients but also their family members appear crucial. Neuropsychological assessment could support the identification of cognitive impairments. The impact of such impairments on driving could also be investigated in a driving simulator. In a driving simulator, strengths and weaknesses in driving behavior can be observed. With this knowledge, patients can be advised appropriately about their fitness to drive and options for support in driving (e.g., compensation techniques, car adaptations). However, as long as no valid, reliable, and widely accepted test battery is available for the assessment of fitness to drive, costly on-road test rides are inevitable. The development of a fitness-to-drive test battery for patients with dementia could provide an alternative for these on-road test rides, on condition that differences between dementia etiologies are taken into consideration.