Cognitive Tests and Determining Fitness to Drive in Dementia: A Systematic Review

Serial Trichotomization to Determine Fitness to Drive: Results From a Cohort of Clients Referred to a Neurology Program

IMPORTANCE

Determining cognitive fitness to drive is challenging. A previous study used serial trichotomization with five cognitive tests to determine whether drivers should continue driving, undergo further evaluation, or stop driving.

OBJECTIVE

To examine agreement between serial trichotomization and fitness-to-drive determinations made by occupational therapists.

DESIGN

Drivers referred for cognitive screens completed all tests used in the previous study. Occupational therapists provided fitness-to-drive recommendations (safe, indeterminate, or unsafe) using all clinical information available. We examined the agreement between the tests' results (using cut points from the previous study) and occupational therapists' recommendations.

SETTING

Outpatient neurology program at a chronic care and rehabilitation hospital.

PARTICIPANTS

279 clients (M age  = 66.35 yr; SD = 13.25).

OUTCOMES AND MEASURES

Tests included the Trail Making Tests A and B, the Clock Drawing Test (CDT), the Montreal Cognitive Assessment, and the Motor-Free Visual Perception Test, using a road test as the gold standard. The previous study used dual cut points with 100% sensitivity and specificity to reduce false positives and false negatives.

RESULTS

Weighted κs ranged from .03 (95% confidence interval [CI] [-.01, .08]) for the CDT to .54 (95% CI [.46, .62]) for the Trail Making Test, Part B. Although the agreement between serial trichotomization and the final recommendations was moderate (κ = .59; 95% CI [.50, .67]), serial trichotomization appeared useful for identifying unsafe drivers.

CONCLUSIONS AND RELEVANCE

These results remind us of the variability inherent in stand-alone cognitive tests, even within a serial trichotomization framework, and the importance of clinical judgement and road tests in decision making about driving. Plain-Language Summary: It can be challenging for occupational therapists to accurately determine a client's cognitive fitness to drive. Many occupational therapists lack the time, have limited training, or do not have access to comprehensive driving evaluation tools. A serial testing approach can support occupational therapists in assessing a client's cognitive fitness to drive. This study used an approach based on a series of five cognitive tests to determine whether a client should continue driving, undergo further evaluation, or stop driving. The series of tests were used to classify drivers as safe, indeterminate, or unsafe. In principle, a driver would take the second test only if the driver was classified as indeterminate on the basis of first test, and so on. By applying the tests in sequence, few drivers should remain classified as indeterminate at the end of the series of tests. This serial approach has the potential to streamline the decision-making process for occupational therapists by classifying the more extreme unsafe cases while still providing an accurate assessment of cognitive fitness to drive.

Mild cognitive impairment, Alzheimer's disease dementia, and predictors of driving cessation: A 7-year longitudinal prospective study

BackgroundPatients with dementia face driving difficulties and, at some point, cease driving.ObjectiveWe sought to identify predictors of driving cessation among patients with mild cognitive impairment (MCI) or mild Alzheimer's disease dementia (AD).MethodsWe enrolled in this longitudinal study patients with MCI, AD (Clinical Dementia Rating < 2) and cognitively normal (NC) individuals. At baseline evaluation, participants underwent a neurological, neuropsychological and driving simulator assessment. Re-evaluations after 48 and 84 months included a structured interview with the patients and their caregiver. Primary endpoints were driving cessation, death and progression to dementia.Results109 individuals were included (32 NC, mean age 65.8 years/47 MCI, mean age 69.1 years/30 AD, mean age 72.8 years). Dangerous driving events during follow-up were referred for 45% and 59% of MCI and AD patients, respectively. 18 MCI (38%, mean time to cease 35 months) and 25 AD (83%, mean time to cease 15 months) patients ceased driving during follow-up. 36% of MCI patients progressed to dementia during follow-up. Cox Regression multivariate analysis revealed age (Hazard Ratio-HR 1.080), semantic verbal fluency-SVF (HR 0.822) and Tandem Walking Test modified with simultaneous reverse number counting-mTWT (HR 1.099) as significant predictors of driving cessation. Simulator accident probability reached statistical significance only in the univariate model (HR 1.040).ConclusionsAge, SVF and mTWT are significant predictors of driving cessation among MCI and AD patients. Driving simulator may be a promising component of driving evaluation. Large-scale studies are prerequisite for the implementation of a multi-disciplinary driving fitness evaluation protocol.

Brain tumors and fitness to drive: A review and multi-disciplinary approach

Background

Patients with brain tumors and their families often inquire about driving safety. Currently, there is no consensus regarding fitness-to-drive (FTD) for patients with central nervous system tumors. Our paper aims to provide a multi-disciplinary perspective to address this issue.

Methods

We performed a literature review for brain tumors and driving. Additionally, we solicited input from experts in tumor-related epilepsy, ophthalmology, neuropsychology, occupational therapy, and driving simulators.

Results

We qualitatively analyzed 14 published articles. FTD determination varies internationally and regionally in most developed nations. Significant motor weakness and major cognitive impairment clearly prevent patients from driving. There are specialized tests for motor, vision, and cognitive correlates important to driving, but driving simulators and on-the-road tests provide the most comprehensive assessments. FTD for patients with seizures is dependent on region-specific laws that take into account the duration of seizure-free intervals and history of motor vehicular crashes.

Conclusions

We recommend a symptom-based approach that highlights the importance of interdisciplinary assessment to ensure that brain tumor patients have the minimum operational skills required to drive. It is crucial to document seizure control, visual acuity impairment, and visual field deficits because these factors usually become the default basis in practice to determine if driving privileges can be maintained. Appropriately, timed assessment of cognitive function may provide pertinent information to determine FTD. Formalized testing with practical driving evaluation may eventually be necessary in patients who have hemiparesis, hemiplegia, hemineglect, homonymous visual field loss, or any form of cognitive dysfunction to determine FTD.

LiveDrive AI: A Pilot Study of a Machine Learning-Powered Diagnostic System for Real-Time, Non-Invasive Detection of Mild Cognitive Impairment

Alzheimer's disease (AD) represents a significant global health issue, affecting over 55 million individuals worldwide, with a progressive impact on cognitive and functional abilities. Early detection, particularly of mild cognitive impairment (MCI) as an indicator of potential AD onset, is crucial yet challenging, given the limitations of current diagnostic biomarkers and the need for non-invasive, accessible tools. This study aims to address these gaps by exploring driving performance as a novel, non-invasive biomarker for MCI detection. Using the LiveDrive AI system, equipped with multimodal sensing (MMS) technology and a driving performance assessment strategy, the proposed work analyzes the predictive capacity of driving patterns in indicating cognitive decline. Machine learning models, trained on an expert-annotated in-house dataset, were employed to detect MCI status from driving performance. Key findings demonstrate the feasibility of using nuanced driving features, such as velocity and acceleration during turning, as indicators of cognitive decline. This approach holds promise for integration into smartphone or car applications, enabling real-time, continuous cognitive health monitoring. The implications of this work suggest a transformative step towards scalable, real-world solutions for early AD diagnosis, with the potential to improve patient outcomes and disease management.

Smart Driving Technology for Non-Invasive Detection of Age-Related Cognitive Decline

Alzheimer's disease (AD) and Alzheimer's Related Dementias (ADRD) are projected to affect 50 million people globally in the coming decades. Clinical research suggests that Mild Cognitive Impairment (MCI), a precursor to dementia, offers a critical window of opportunity for lifestyle interventions to delay or prevent the progression of AD/ADRD. Previous research indicates that lifestyle changes, including increased physical exercise, reduced caloric intake, and mentally stimulating activities, can reduce the risk of MCI. Early detection of MCI is challenging due to subtle and often unnoticed cognitive decline and is traditionally monitored through infrequent clinical tests. In this research, the Smart Driving System, a novel, unobtrusive, and economical technology to detect early stages of neurodegenerative diseases, is presented. The system comprises a multi-modal biosensing array (MMS) and AI algorithms, including driving performance and driver's biometrics, offering insights into a driver's cognitive function. This publication is the first work reported towards the ultimate goal of developing the Smart Driving Device and App, integrating it into vehicles, and validating its effectiveness in detecting MCI through comprehensive pilot studies.

Can executive functions of the brain predict official driving test success?

Human factors, including the level of cognitive functioning, are the most influential factors in road traffic crashes. Among cognitive abilities, executive functions (EFs) of the brain play a pivotal role in driving performance and outcomes, including crash numbers. The current study was aimed to explore, for the first time, the ability of EF tests to predict success on the official driving tests in applicants of driving license in Iran. We administered a relevant set of commonly used EF tests, including a computerized Stroop test and six tests from the Delis-Kaplan Executive Function System (D-KEFS) and the Behavioral Assessment of the Dysexecutive Syndrome (BADS), to 87 healthy new drivers applying for a driver's license (Mage = 25.9 years, SD = 8.2; 43 female). We also administered a series of demographic and psychological questionnaires. The data regarding the participants' official driving tests were extracted from the official records. To determine the relations of the EF tests with success on the driving tests, several correlation and regression analyses were conducted. Most of the EF measures had significant correlations with the road test success, while having no significant relations with the theory test success. Moreover, in our regression analyses, The EF measures predicted success on the official driving road test, but not success on the driving theory test, even after controlling for the effects of previous unlicensed driving experience and stress symptoms. The results demonstrate the predictability of the driving road test success from executive functioning.

Ecological validity of executive function tests in predicting driving performance

Almost all of our everyday activities depend on executive function (EF) skills. In line with the increasing attention to the ecological validation of neuropsychological assessment and intervention methods, this study aimed to explore the ecological validity of a relevant set of widely used EF tests, mostly from well-known paradigms of EF assessment, in predicting driving ability. Ninety-six healthy novice drivers (Mage = 26.2 years, SD = 8.4; 48 female) completed four stages of our data collection including psychological, EF, and driving assessments. For the psychological assessment, validated measures of sensation-seeking, risk-taking, personality traits, ADHD symptoms, depression, anxiety, and stress were administered. For the EF assessment, selected tests from the Delis-Kaplan Executive Function System (D-KEFS: Trail Making, Design Fluency, and Tower) and the Behavioral Assessment of the Dysexecutive Syndrome (BADS: Key Search, Zoo Map, and Modified Six Elements) along with a computerized Stroop test were administered. For the driving assessment, we used a simulated driving test comprising of 14 key dimensions of driving skills. Several correlations and multiple regression analyses were conducted. Significant correlations were found between all the EF measures and driving performance. Moreover, the EF measures predicted the driving ability over and above the effects of previous driving experience and the psychological variables. These results provide supporting evidence for the ecological validity of the EF tests in predicting driving performance. The incorporation of assessment and intervention targeting multiple domains of EF into driving rehabilitation and education programs could be a focus of future research.

Piloting the Coffs Harbour Executive Functioning Screen (CHEFS): An off-road tool to predict fitness to drive

Mental processes responsible for goal-oriented behavior - executive functioning (EF) - include working memory, flexible thinking, and cognitive control. A reliable and valid assessment of EF can inform appropriate interventions and decisions to drive. We investigated the feasibility and validity of a short, iPad-administered EF screening tool in a non-clinical sample: the Coffs Harbour Executive Functioning Screen (CHEFS). Participants (N = 55) completed the CHEFS alongside a neuropsychological assessment of EF used to assess fitness to drive. Discriminant function analysis (DFA) showed that the CHEFS correctly classified 87% of participants to normative clinical ranges on the Verbal Fluency Test. The results suggest that CHEFS is a novel, easily administered tool for assessing EF in a non-clinical sample. DFA is an appropriate within-tool analysis to support the widespread administration of a screening tool to determine fitness to drive and classify patient referral needs. Further assessment is required to determine CHEFS reliability and validity with a broader range of participants varying in neuropsychological functioning, age, ethnicity, test experience, and compared to on-road driving performance.

Visual dysfunction in dementia with Lewy bodies

PURPOSE OF REVIEW

To review the literature on visual dysfunction in dementia with Lewy bodies (DLB), including its mechanisms and clinical implications.

RECENT FINDINGS

Recent studies have explored novel aspects of visual dysfunction in DLB, including visual texture agnosia, mental rotation of 3-dimensional drawn objects, and reading fragmented letters. Recent studies have shown parietal and occipital hypoperfusion correlating with impaired visuoconstruction performance. While visual dysfunction in clinically manifest DLB is well recognized, recent work has focused on prodromal or mild cognitive impairment (MCI) due to Lewy body pathology with mixed results. Advances in retinal imaging have recently led to the identification of abnormalities such as parafoveal thinning in DLB. Patients with DLB experience impairment in color perception, form and object identification, space and motion perception, visuoconstruction tasks, and illusions in association with visual cortex and network dysfunction. These symptoms are associated with visual hallucinations, driving impairment, falls, and other negative outcomes.

Australian medical practitioners' perspectives about current practice relating to fitness to drive assessment for older people with dementia and mild cognitive impairment: A qualitative study

OBJECTIVES

To describe the perspectives of Australian medical practitioners about current practice, and the potential benefit of tools and resources to support fitness to drive assessment for older people with dementia and mild cognitive impairment (MCI).

METHODS

Semi-structured interviews with 22 medical practitioners from cognitive/memory clinics, hospitals, general practice and driving fitness assessment services in Australia. Reflexive thematic analysis was conducted.

RESULTS

Two overarching themes were generated: (1) Uncomfortable decisions, describing feelings of discomfort expressed by practitioners about making fitness to drive recommendations, with two subthemes: (a) 'Feeling uncertain' and (b) 'Sticking your neck on the line'; and (2) Easing the discomfort, describing participants' desire for tools/resources to support practitioners to increase comfort with fitness to drive recommendations, with two subthemes: (a) 'Seeking certainty' and (b) 'Focusing on the process' conveying two different perspectives about how this may be achieved. There was a desire for a new in-office assessment tool capable of accurately predicting fitness to drive outcomes and views that an evidence-based clinical pathway could improve practitioners' confidence in decision-making.

CONCLUSIONS

Perceptions of discomfort relating to fitness to drive assessment of older people with dementia and MCI exist amongst medical practitioners from health-care settings across Australia. In the absence of a well-validated in-office assessment tool, practitioners may benefit from an evidence-based clinical pathway to guide driving recommendations.

Transition from driving to driving-cessation: experience of older persons and caregivers: a descriptive qualitative design

BACKGROUND

For some older persons, driving is essential to maintain their daily activities and engagement with society. Unfortunately, some will have to stop driving, as they age. Driving-cessation is an important transition for older persons and caregivers, well known to cause significant challenges and consequences. This study aimed to describe the experience of older persons and caregivers in the transition from driving to ceasing to drive.

METHODS

Within a descriptive qualitative design, semi-structured interviews were undertaken with older persons (n = 8) and caregivers (n = 6) from the city of Québec (Quebec, Canada), from November 2020 to March 2021. Using an inductive approach, the qualitative data was analyzed with the content analysis method.

RESULTS

Some older persons had never thought they might someday lose their driver's license. The process of legislative assessment was unknown by almost all older persons and caregivers. The process was therefore very stressful for the research participants. Driving-cessation is a difficult transition that is associated with loss of independence, freedom, spontaneity, and autonomy. Qualitative analysis of data showed different factors that positively or negatively influence the experience of ceasing to drive, such as the older person's ownership of the decision, the presence of a network of friends and family, and self-criticism. There was significant impact related to driving-cessation for caregivers, such as assuming the entire burden of travel, psychologically supporting older persons in their grief, and navigating the driver's licensing system.

CONCLUSIONS

These study results could help organizations and healthcare professionals to better accompany and support older drivers and caregivers in the transition from driving to driving-cessation.

TRIAL REGISTRATION

None.

Feasibility of Identifying Factors Related to Alzheimer's Disease and Related Dementia in Real-World Data

A comprehensive view of factors associated with AD/ADRD will significantly aid in studies to develop new treatments for AD/ADRD and identify high-risk populations and patients for prevention efforts. In our study, we summarized the risk factors for AD/ADRD by reviewing existing meta-analyses and review articles on risk and preventive factors for AD/ADRD. In total, we extracted 477 risk factors in 10 categories from 537 studies. We constructed an interactive knowledge map to disseminate our study results. Most of the risk factors are accessible from structured Electronic Health Records (EHRs), and clinical narratives show promise as information sources. However, evaluating genomic risk factors using RWD remains a challenge, as genetic testing for AD/ADRD is still not a common practice and is poorly documented in both structured and unstructured EHRs. Considering the constantly evolving research on AD/ADRD risk factors, literature mining via NLP methods offers a solution to automatically update our knowledge map.

Medication and Road Test Performance Among Cognitively Healthy Older Adults

Importance

Older adults are increasingly prescribed medications that have adverse effects. Prior studies have found a higher risk of motor vehicle crashes to be associated with certain medication use.

Objective

To determine whether specific medication classes were associated with performance decline as assessed by a standardized road test in a community sample of cognitively healthy older adults, to evaluate additional associations of poor road test performance with comorbid medical conditions and demographic characteristics, and to test the hypothesis that specific medication classes (ie, antidepressants, benzodiazepines, sedatives or hypnotics, anticholinergics, antihistamines, and nonsteroidal anti-inflammatory drugs or acetaminophen) would be associated with an increase in risk of impaired driving performance over time.

Design, Setting, and Participants

This was a prospective cohort study of 198 cognitively healthy adults 65 years and older with a valid driver's license who were followed up annually, with rolling enrollment. Data were collected from participants in St Louis, Missouri, and neighboring Illinois who were enrolled in the Knight Alzheimer's Disease Research Center. Data were collected from August 28, 2012, to March 14, 2023, and analyzed from April 1 to 25, 2023. Participants with healthy cognition, defined as a Clinical Dementia Rating score of 0 at baseline and subsequent visits, who had available clinical, neuropsychological, road tests, and self-reported medication data were included.

Exposure

Potentially driver-impairing medication use.

Main Outcomes and Measures

The primary outcome measure was performance on the Washington University Road Test (pass or marginal/fail). Multivariable Cox proportional hazards models were used to evaluate associations between potentially driver-impairing medication use and road test performance.

Results

Of the 198 included adults (mean [SD] baseline age, 72.6 [4.6] years; 87 female [43.9%]), 70 (35%) received a marginal/fail rating on the road test over a mean (SD) follow-up of 5.70 (2.45) years. Any use of antidepressants (adjusted hazard ratio [aHR], 2.68; 95% CI, 1.69-4.71), serotonin and norepinephrine reuptake inhibitors (aHR, 2.68; 95% CI, 1.54-4.64), sedatives or hypnotics (aHR, 2.70; 95% CI, 1.40-5.19), or nonsteroidal anti-inflammatory drugs (aHR, 2.72; 95% CI, 1.31-5.63) was associated with an increase in risk of receiving a marginal/fail rating on the road test compared with control individuals. Conversely, participants taking lipid-lowering agents had a lower risk of receiving a marginal/fail rating compared to control individuals. There were no statistically significant associations found between anticholinergic or antihistamines and poor performance.

Conclusions and Relevance

In this prospective cohort study, specific medication classes were associated with an increase in risk of poor road test performance over time. Clinicians should consider this information and counsel patients accordingly when prescribing these medications.

On the importance of working memory in the driving safety field: A systematic review

In recent years, many studies have used poor cognitive functions to explain risk safety differences among drivers. Working memory is a cognitive function with information storage and attentional control that plays a crucial role in driver information processing. Furthermore, it is inextricably linked to parameters such as driving performance, driving eye movements and driving neurophysiology, which have a significant impact on drivers' risky behavior and crash risk. In particular, crash risk is a serious risk to social safety and economic development. For this reason, it is necessary to understand how risk-related working memory affects driving so that pre-driving safety pre-training programs and in-vehicle safety assistance systems for driving can be developed accordingly, contributing to the development of semi-autonomous vehicles and even autonomous vehicles. In this paper, a systematic search of the literature over the past 23 years resulted in 78 articles that met the eligibility criteria and quality assessment. The results show that higher working memory capacity, as measured neuropsychologically, is associated with more consistent and safer driving-related parameters for drivers (e.g., lane keeping) and may be related to pupil dilation during risk perception while driving, which is associated with driving outcomes (tickets, pull-overs, penalty points and fines,and driving accidents) is closely related to the perceived usefulness of the human-machine interface, reaction time, standard deviation of steering wheel corners, etc. when the autonomous driving takes over. In addition, higher working memory load interference was associated with more inconsistent and unsafe driving-related parameters (including but not limited to eye movements, electrophysiology, etc.), with higher working memory load being associated with easier driver concentration on the road, faster heart rate, lower heart rate variability, and lower oxyhemoglobin (OxyHb) and deoxyhemoglobin (DeoxyHb). Only a limited number of studies have simultaneously investigated the relationship between working memory capacity, working memory load and driving, showing an interaction between working memory capacity and working memory load on lane change initiation and lane change correctness, with working memory capacity acting as a covariate that mediated the effect of working memory load on braking reaction time. In addition, working memory-related cognitive training had a transfer effect on improving driving ability. Overall, working memory capacity determines the upper limit of the number of working memory attention resources, while working memory load occupies part of the working memory attention resources, thus influencing information perception, decision judgment, operational response, and collision avoidance in driving. Future effective interventions for safe driving can be combined with capacity training and load alerting. These findings contribute to our understanding of the role of working memory in driving and provide new insights into the design of driver safety training programs and automated driving personalized in-vehicle safety systems and roadside devices such as signage.

Driving Assessment for Persons with Dementia: How and when?

Dementia is a progressive neurodegenerative disease leading to deterioration in cognitive and physical skills. Driving is an important instrumental activity of daily living, essential for independence. However, this is a complex skill. A moving vehicle can be a dangerous tool in the hand of someone who cannot maneuver it properly. As a result, the assessment of driving capacity should be part of the management of dementia. Moreover, dementia comprises of different etiologies and stages consisting of different presentations. As a result, this study aims to identify driving behaviors common in dementia and compare different assessment methods. A literature search was conducted using the PRISMA checklist as a framework. A total of forty-four observational studies and four meta-analyses were identified. Study characteristics varied greatly with regards to methodology, population, assessments, and outcome measures used. Drivers with dementia performed generally worse than cognitively normal drivers. Poor speed maintenance, lane maintenance, difficulty managing intersections and poor response to traffic stimuli were the most common behaviors in drivers with dementia. Naturalistic driving, standardized road assessments, neuropsychological tests, participant self-rating and caregiver rating were the most common driving assessment methods used. Naturalistic driving and on-road assessments had the highest predictive accuracy. Results on other forms of assessments varied greatly. Both driving behaviors and assessments were influenced by different stages and etiologies of dementia at varying degrees. Methodology and results in available research are varied and inconsistent. As a result, better quality research is required in this field.

Clinical Tests Predicting On-Road Performance in Older Drivers with Cognitive Impairment

Background. The Trail Making Test Part B (Trails B) and Useful Field of View® (UFOV) can predict on-road outcomes in drivers with cognitive impairment (CI); however, studies have not included drivers referred for comprehensive driving evaluations (CDEs), who typically have more severe CI. Purpose. We determined the predictive ability of Trails B and UFOV on pass/fail on-road outcomes in drivers with CI (Montreal Cognitive Assessment <26) referred for CDEs. Method. Retrospective data collection from two driving assessments centers (N  =  100, mean age  =  76.2  ±  8.8 years). Findings. The Trails B (area under the curve [AUC]  =  .70) and UFOV subtests 2 (AUC  =  .73) and 3 (AUC  =  .76) predicted pass/fail outcomes. A cut-point ≥467 ms on UFOV subtest 3 better-predicted pass/fail outcomes with 78.9% sensitivity and 73.5% specificity. In comparison, a cut-point ≥3.58 min on Trails B had lower sensitivity (73.7%) and specificity (61.8%). Implications. The UFOV subtest 3 may be more useful than the Trails B for predicting pass/fail outcomes in drivers with more severe CI referred for CDEs.

The Clinical Usefulness of the Practice Resource for Driving after Stroke (PReDAS)

Occupational Therapists (OTs) have identified a critical need for organized, evidence-based resources to approach driving post-stroke. The Practice Resource for Driving After Stroke (PReDAS) is a resource to support the clinical reasoning and practice of health professionals for addressing driving in acute stroke care. The purpose of this pilot study is to evaluate the usefulness of the PReDAS to support clinician and patient decision-making about return to driving after stroke/Transient Ischemic Attack (TIA) in the acute care hospital setting. OTs, physicians, and patients diagnosed with stroke/TIA were surveyed regarding their experience with the PReDAS in acute care. Patient participants were also contacted for a follow-up questionnaire. OT, physician and patient stakeholders reported the PReDAS was useful to support decision-making for driving. The majority of patients recalled information provided in acute care and abstained from driving as advised. This study provides preliminary support for the clinical usefulness of the PReDAS.

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

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.

Driving Ability Evaluation and Rehabilitation for People With Alzheimer's Disease and Related Dementias

Worldwide, it is estimated that around 50 million older adults have Alzheimer's disease and related dementias (ADRD). Cognitive deficits associated with ADRD may affect a driver's perception and decision-making and potentially cause safety concerns. Despite much research, there lacks a comprehensive cognitive evaluation to determine the driving capability of a person with ADRD and it is unclear what are the most effective training and interventions that help to enhance driving performance for these individuals. The purpose of this article is to conduct a comprehensive literature survey to review and summarize studies of driving performance evaluation and intervention for people with ADRD and discuss perspectives for future studies. Although many studies have investigated the correlations between driving behaviors and cognitive performances for people with ADRD, it remains unclear how driving behaviors and cognitive performances are associated with psychophysiological measures. We discussed the need to develop regular driving evaluation and rehabilitation protocol for people with ADRD. We also highlighted the potential benefit to combine driving tests with psychophysiological measures to assist in characterizing personalized cognitive evaluation in the behavioral evaluation process.

Speedometer-reading performance of senior drivers with cognitive impairment: a comparison of analogue and digital speedometers

BACKGROUND

With the deterioration of cognitive functions, the capability to obtain information with speed, one of the essential elements needed to perform safe driving, may be impacted. We aimed to compare the legibility of analogue and digital speedometers for senior drivers with cognitive impairment, and examined the demographic, cognitive, and driving-related variables that predict their speedometer-reading performance.

METHODS

A total of 50 senior drivers with cognitive impairment were investigated and asked to complete an office-based speedometer-reading test using an iPad. Two general types of speedometers (analogue and digital) were tested in this study.

RESULTS

The age of the participants ranged from 61 to 92 years (mean (SD), 79.10 (6.973)), and 29 were male. The mean (SD) score of the Mini-Mental State Examination was 22.48 (6.089). The median (Q_L , Q_U ) scores of the analogue and digital speedometer-reading tests were 4 (4, 5.25) and 6 (6), respectively. Based on the result of the Wilcoxon signed-rank test, the score of the digital speedometer-reading test was significantly higher than that of the analogue one (Z = 4.399, P < 0.001). The results of multiple linear regression analyses show that the scores of the Mini-Mental State Examination (β = 0.358, P = 0.025), and the trail-making test-A (β = -0.443, P = 0.006) predicted the digital speedometer-reading performance, and they together explain 54.7% of the total variance.

CONCLUSIONS

A digital speedometer was found to be easier for absolute value reading for senior drivers with cognitive impairment, compared to an analogue speedometer. Senior drivers with subjective cognitive decline may also have impairments in obtaining the speed information through an analogue speedometer. General cognitive function and attention may influence the speed-reading performance on the digital speedometer.

Exploring the effect of glaucomatous visual field defects of current drivers on a neuropsychological test battery

PURPOSE

This study explores the effect of glaucomatous visual field defects on several neuropsychological tests that are often used in research and in clinical settings.

METHODS

Nineteen glaucoma patients and nineteen healthy participants, which are current drivers and older than 65 years old were included. All participants completed the Montreal Cognitive Assessment (MoCA), the Trail Making Test (TMT), the Benton Visual Retention Test (BVRT), the Snellgrove Maze Task (SMT) and the Digit Span Test (DST). All participants were also tested on contrast sensitivity and near and far visual acuity. For the glaucoma patients, visual field tests were downloaded from hospital servers.

RESULTS

On the MoCA test, glaucoma patients scored lower than the healthy group, but not significantly. On the MoCA-Blind, the difference was statistically significant. Glaucoma patients also had lower percentile scores on the TMT, with a significant difference in the TMT-A, but this difference largely disappeared in the calculated TMT B-A index, which isolates the cognitive component. The BVRT and SMT showed no significant differences between both groups. In the only non-visual test, the DST, glaucoma patients outperformed the healthy group. Glaucoma severity did not influence results, except for the BVRT on which the moderate/severe group has better scores.

CONCLUSION

Using visual items might lead to conclusions about cognition when it should be one about vision. Therefore, careful selection of tests is needed when examining cognition in glaucoma patients.

Driving Performance in Older Adults: Current Measures, Findings, and Implications for Roadway Safety

Background and Objectives

Over 10,000 people a day turn 65 in the United States. For many older adults, driving represents an essential component of independence and is one of the most important factors in overall mobility. Recent survey studies in older adults suggest that up to 60% of older adult drivers with mild cognitive impairment, and up to 30% with dementia, continue to drive. The purpose of this review is to provide a comprehensive and detailed resource on the topics of cognition and driving for clinicians, researchers, and policymakers working on efforts related to older adult drivers.

Research Design and Methods

Publications on PubMed and Medline and discussions with experts working in geriatrics, technology, driving policy, psychology, and diverse aspects of driving performance were utilized to inform the current review.

Results

Research indicates that there is a complex and inverse correlation between multiple cognitive measures, driving performance, and risky driving behaviors. The fragmented nature of available peer-reviewed literature, and a reliance on correlative data, do not currently allow for the identification of the temporal and reciprocal nature of the interplay between cognition and driving endpoints.

Discussion and Implications

There are currently no widely accepted definitions, conceptual models, or uniform set of analyses for conducting geriatric research that is focused on driving. Establishing conventions for conducting research that harmonizes the fields of geriatrics, cognition, and driving research is critical for the development of the evidence base that will inform clinical practice and road safety policy.

Mild cognitive impairment and fitness to drive: An audit of practice in a driving specialist clinic in Australia

OBJECTIVE

To describe current practice and outcomes relating to fitness to drive for people with mild cognitive impairment (MCI) attending a specialist driving clinic.

METHODS

Retrospective medical record audit from a driving fitness assessment clinic at a tertiary medical centre, South Australia, from 2015 to 2019.

RESULTS

Of 100 notes audited, n = 40 had a documented diagnosis of MCI and n = 60 had subjective cognitive concerns characteristic of MCI. Participants mean age was 80.0 years (SD 6.7), and mean Mini-Mental State Examination score was 26.1 (SD 2.1). Medical practitioners completed a comprehensive initial assessment relating to medical fitness to drive, considering scores from a cognitive assessment battery and non-cognitive factors (driving history, current driving needs, vision, physical abilities and collateral from family). After the initial assessment, most participants (84%) were referred for a practical on-road assessment, before receiving a final driving recommendation. Over half of participants continued driving (51%), most with conditions, while 35% ceased driving. Outcomes for the remaining 14% are unknown as we were unable to determine whether the practical assessment (11%) or lessons (3%) were completed.

CONCLUSIONS

Driving outcomes for people with MCI with questionable driving capabilities are variable, with both cognitive and non-cognitive factors important in guiding medical fitness to drive recommendations. There is a need for more driving clinics to provide in-depth assessment for people with MCI who demonstrate uncertain driving capabilities and improved support for decision-making in other non-driving specialist settings.

Effect of Memantine on Prolonging Safe Driving in Early AD: a Pilot Study

BACKGROUND

To determine the feasibility of conducting an RCT on the potential effectiveness of memantine hydrochloride in prolonging safe driving in mild AD.

METHODS

A placebo-controlled, double blind randomized trial was conducted. Forty-three individuals ≥60 with mild AD met screening criteria and were randomized. Driving ability was measured by a standardized on-road driving test. Outcomes were driving capacity at 6 and 12 months and completion of the 12-month intervention.

RESULTS

Of 43 participants randomized, 59% of the memantine group and 52% of the placebo group completed the on-road test at 12 months (p = .66). All 13 memantine group participants maintained their driving status at 12 months, whereas only 8 of the 11 placebo group participants did (p = .040, OR = 4.45).

CONCLUSIONS

Results provide the framework for designing a rigorous multisite clinical trial of memantine effect on maintaining driving capacity in mild AD.

Driving Performance and Its Correlation with Neuropsychological Tests in Senior Drivers with Cognitive Impairment in Japan

BACKGROUND

With the rapid aging of the population, the issue of driving by dementia patients has been causing increasing concern worldwide.

OBJECTIVE

To investigate the driving difficulties faced by senior drivers with cognitive impairment and identify the specific neuropsychological tests that can reflect specific domains of driving maneuvers.

METHODS

Senior drivers with cognitive impairment were investigated. Neuropsychological tests and a questionnaire on demographic and driving characteristics were administered. Driving simulator tests were used to quantify participants' driving errors in various domains of driving.

RESULTS

Of the 47 participants, 23 current drivers, though they had better cognitive functions than 24 retired drivers, were found to have impaired driving performance in the domains of Reaction, Starting and stopping, Signaling, and Overall (wayfinding and accidents). The parameters of Reaction were significantly related to the diagnosis, and the scores of MMSE, TMT-A, and TMT-B. As regards details of the driving errors, "Sudden braking" was associated with the scores of MMSE (ρ= -0.707, p < 0.01), BDT (ρ= -0.560, p < 0.05), and ADAS (ρ= 0.758, p < 0.01), "Forgetting to use turn signals" with the TMT-B score (ρ= 0.608, p < 0.05), "Centerline crossings" with the scores of MMSE (ρ= -0.582, p < 0.05) and ADAS (ρ= 0.538, p < 0.05), and "Going the wrong way" was correlated with the score of CDT (ρ= -0.624, p < 0.01).

CONCLUSION

Different neuropsychological factors serve as predictors of different specific driving maneuvers segmented from driving performance.

Assessment of cognitive screening tests as predictors of driving cessation: A prospective cohort study of a median 4-year follow-up

BACKGROUND

Assessing fitness to drive and predicting driving cessation remains a challenge for primary care physicians using standard screening procedures. The objective of this study was to prospectively evaluate the properties of neuropsychological screening tests, including the Trail Making Test (TMT), Clock Drawing Test (CDT), Montreal Cognitive Assessment (MoCA), Useful Field of View (UFOV), and Timed Up and Go (TUG) test, in predicting driving cessation for health reasons in drivers older than 70 years of age.

DESIGN AND METHODS

This prospective cohort study, with a median follow-up of 4 years for drivers of 70 years old or older with an active driving license in Switzerland, included 441 participants from a driving refresher course dedicated to volunteer senior drivers. Cases were drivers reported in the national driving registry who lost their license following a health-related accident, who were reported as unfit to drive by their physician or voluntarily ceased driving for health reasons. Survival analysis was used to measure the hazard ratio of driving cessation by adjusting for age and sex and to evaluate the predictive value of combining 3 or more positive tests in predicting driving cessation during a 4-year follow-up.

RESULTS

A total of 1738 person-years were followed-up in the cohort, with 19 (4.3%) having ceased driving for health reasons. We found that participants with a TMT-A < 54 sec and TMT-B < 150 sec at baseline had a significantly lower cumulative hazard of driving cessation in 4 years than those with slower performance (adjusted HR 3, 95% CI: 1.16-7.78, p = 0.023). Participants who performed a CDT ≥ 5 had a significantly lower cumulative hazard of driving cessation (adjusted HR 2.89, 95% CI: 1.01-7.71, p = 0.033). Similarly, an MoCA score ≥ 26, TUG test <12 sec or a UFOV of low risk showed a lower but not significant cumulative risk at a median follow-up of 4 years. When using tests as a battery, those with three or more positive tests out of five were 3.46 times more likely to cease driving (95% CI: 1.31-9.13, p = 0.012).

CONCLUSIONS

The CDT and the TMT may predict driving cessation in a statistically significant way, with a better performance than the UFOV and MoCA tests during a median 4-year follow-up. Combining tests may increase the predictability of driving cessation. Although our results are consistent with current evidence, they should be interpreted with precaution; more than 95% of the participants above the set threshold were able to continue driving for 4 years without any serious incident.

Brief executive-function assessment tool: A new cognitive impairment screening tool for alcohol and other drug services

Accurate screening for cognitive impairment in alcohol and other drug (AOD) services would help to identify individuals who may need supports to obtain the greatest benefit from substance use disorder (SUD) treatment. At present there is no screening measure that has been developed specifically to detect cognitive impairment in a SUD population. This study examines the psychometric properties of the Brief Executive-function Assessment Tool (BEAT), which was specifically designed for this purpose. This study involving 501 individuals with SUD and 145 normal control participants established internal consistency (n = 646; 0.734), interrater (n = 60; 0.994), and test-retest reliability (n = 177; 0.845), and construct (all correlations p ≤ 0.05), and criterion (n = 467; ANCOVA p < 0.001) validity. Test operating characteristics (n = 500; 87% sensitivity, 71% specificity, 21% PPP, and 99% NPP) were also established relative to an independent criterion variable made up of three established performance-based neuropsychological tests. Findings support the reliability and validity of the BEAT as a screening measure of executive function impairment with high sensitivity and a low rate of false negatives.

Mandarin version of dementia and driving decision aid (DDDA): Development and stakeholder evaluation in Taiwan

BACKGROUND

Dementia causes cognitive and memory difficulties which can reduce the driving safety of the individuals. The decision-making process for driving retirement is challenging, and yet limited guidance is available.

OBJECTIVES

This article reports the development of the Taiwanese version of dementia and driving decision aid (DDDA) and the evaluation from stakeholders through a dementia and driving education programme.

METHODS

A multi-method approach was adopted using a pre-test, post-test survey and focus group interviews. A total of 154 healthcare professionals, family caregivers and people with dementia participated education programme, and 12 experts attended the focus group discussion. The survey included demographics, knowledge, confidence, competence and awareness of using DDDA. Participants completed a survey prior and immediately after the education programme. We translated a 32-page interactive DDDA booklet from the original English version to Mandarin. The education programme consisted of three-hour dementia and driving education module delivered both face-to-face and online.

RESULTS

The majority of participants described the booklet as balanced (91.7%) with the information presented in a 'good' or 'excellent' manner (93.4%). Most participants (85.3%) felt that DDDA helps them in making decisions about driving. Five themes were extracted from the focus group interview: (1) approach targeted to people with dementia, (2) specific content and additional information, (3) culturally appropriate modification, (4) having the right to drive and (5) booklet dissemination. The knowledge, confidence, competence and awareness of using the DDDA increased significantly (p < 0.001) after the education programmes.

CONCLUSION

We anticipate that use of the DDDA booklet will raise awareness of this social and health issue among the general public and facilitate collaborations with clinicians, municipalities and related organisations in providing a decision-making resource material for those with people living with dementia and their families. This study was not a clinical trial and the focus of this study was development and evaluation of the DDDA booklet. As mentioned in the methods section, participants were invited to attend the education program and provided their thoughts on the DDDA booklet based on their satisfaction level. Moreover, the education program was a one-day, workshop type program. This study was neither "prospectively assigns human participants or groups of humans to one or more health-related interventions" nor "to evaluate the effects on health outcomes", according to the definition of clinical trial by WHO. Therefore, we did not consider this study was a clinical trial.

IMPLICATIONS FOR PRACTICE

There is an urgent need for supporting people with dementia and their families to negotiate the complex decision-making involved in deciding to change their approach to driving. The DDDA booklet can fill an important gap in service delivery to people with dementia who are adjusting to life without driving.

'We're not doing it to be nasty': Caregivers' ethical dilemmas in negotiating driving safety with older adults

The purpose of this research was to investigate how informal caregivers of older adults cope with and negotiate driving safety when their loved one is no longer safe to drive. Fifteen informal caregivers of an older adult living at home took part in the present study. Participants cared for individuals with a range of health conditions that significantly impaired driving safety, including dementia, Parkinson's disease, macular degeneration, and stroke. A thematic analysis of participants' accounts identified the complex interpersonal, social, and organisational context they encountered when their loved one did not recognise or acknowledge limitations in their ability to drive. This analysis highlights the ethical dilemma at the heart of caregivers' experiences and identifies stake and blame as key considerations in the development of sensitive and effective policies and practices.

Assessing fitness to drive in older adults: Validation and extension of an economical screening tool

OBJECTIVES

Due to demographic change, the number of older drivers with impaired driving skills will increase in the next decades. The current study aimed at the validation and extension of the screening tool Safety Advice For Elderly drivers (SAFE) that allows a cost-efficient assessment of driving-related risk factors in older drivers.

METHOD

Seventy-four older drivers aged ≥65 years (M = 77 years) recruited from the general population were included in this prospective observational study. Receiver operating characteristic curve (ROC) and hierarchical logistic regression analyses were utilized to examine whether the SAFE and further evidence-based driving-related factors may allow the differentiation between fit and unfit older drivers assessed in standardized on-road driving assessments.

RESULTS

ROC analyses revealed significant diagnostic accuracy of the number of SAFE risk factors in differentiating between fit and unfit older drivers (AUC = 0.71). A stepwise logistic regression model revealed that adding further evidence-based risk factors into the SAFE clearly improved diagnostic accuracy (AUC = 0.85).

DISCUSSION

The current study shows that the risk assessed by the SAFE predicts on-road driving fitness in older adults. However, the results also suggest a need for a modification of the SAFE by the inclusion of additional evidence-based risk factors. With sensitivity and specificity scores of about 90 % and 75 %, this modified version may be more suitable for clinical use.

A Frontal Neuropsychological Profile in Fitness to Drive

Traffic accidents are a global concern due to the elevated mortality rates of both drivers and pedestrians. The World Health Organization declared 2011-2020 as the Decade of Action for Road Safety, endorsing initiatives to reduce traffic-related deaths. Yet, despite these incentives, fatal accidents still occur. Different studies have linked deficits in executive functions to risky driving attitudes and crashes. The present study focuses on demographic, cognitive and personality factors, related to the prefrontal cortex, that are characteristic of drivers prone to risky behavior behind the wheel. The penalty Points System was used to classify drivers as "safe", with no point loss over a two-year period, or "risky", with full point loss during the same interval. A neuropsychological assessment of prefrontal cognitive functions was carried out on each group to identify variables associated with safe and risky behavior. Neuropsychological indexes were obtained from a continuous performance task without cue (Simple Attention), a continuous performance task with cue (Conditioned Attention), the Tower of Hanoi test and the Neurologically-related Changes in Personality Inventory (NECHAPI). A Discriminant Analysis (DA) found that education level, reaction times in Simple and Conditioned Attention, learning errors in the Tower of Hanoi and vulnerability in the personality test, best predicted whether drivers were likely to be in the safe or risky group. Finally, a cross-validation analysis performed on the same sample correctly classified 87.5% of the drivers. These data suggest that prefrontal dysfunction contributes to risky behavior behind the wheel. The inclusion of cognitive programs to identify and train drivers with this propensity could reduce risky driving, and consequently, save lives on the road.

The Medical Referral Process and Motor-Vehicle Crash Risk for Drivers with Dementia

Cognitive and physical impairment can occur with dementia and reduce driving ability. In the United States, individual states have procedures to refer and evaluate drivers who may no longer be fit to drive. The license review process is not well understood for drivers with dementia. This study uses comprehensive data from the Iowa Department of Transportation to compare the referral process for drivers with and without dementia from January 2014 through November 2019. The likelihood of failing an evaluation test was compared between drivers with and without dementia using logistic regression. The risk of motor-vehicle crash after referral for review of driving ability was compared using a Cox proportional hazard model. Analysis controlled for the age and sex of the referred driver. Drivers with dementia performed worse on all tests evaluated except the visual screening test. After the referral process, the risk of crash was similar between those with and without dementia. Drivers with dementia were denied their license more frequently than referred drivers without dementia. However, drivers with dementia who successfully kept their license as a result of the license review process were not at an increased risk of crash compared to other referred drivers.

Overview of High Yield Geriatrics Assessment for Clinic and Hospital

Geriatric assessment is a comprehensive, multifaceted, and interdisciplinary evaluation of medical, socioeconomic, environmental, and functional concerns unique to older adults; it can be focused or broadened according to the needs of the patient and the concerns of clinical providers. Herein, the authors present a high-yield framework that can be used to assess older adult patients across a variety of settings.

Driving-Related Adverse Events in the Elderly Men: A Population-Based Prospective Cohort Study

OBJECTIVE

This study estimated the incidence of driving-related adverse events and examined the association of cognitive function with the risk of future driving-related adverse events in the elderly Korean male population.

METHODS

We analyzed 1,172 male drivers aged 60 years or older in the Korean Longitudinal Study on Cognitive Aging and Dementia (KLOSCAD). Using the data from Korean National Police Agency, we classified the participants into three groups: safe driving (drove for 2 years after baseline without a traffic accident or repeated violations), driving cessation (stopped driving), and risky driving (one or more traffic accidents or repeated violations). We estimated the incidences of driving cessation and risky driving, and examined the effect of cognitive function on their risks.

RESULTS

The incidence of driving cessation and risky driving in the Korean male drivers aged 60 years or older was 19.3 and 69.9 per 1,000 person-years respectively and increased in the late 80s. Drivers with better baseline Word List Memory Test scores showed less risky driving (OR=0.94, p=0.039).

CONCLUSION

Driving-related adverse events increased in late 80s, and better memory function was protective against these events.

Feasibility and Validity of a Low-Cost Racing Simulator in Driving Assessment after Stroke

There is a myriad of methodologies to assess driving performance after a stroke. These include psychometric tests, driving simulation, questionnaires, and/or road tests. Research-based driving simulators have emerged as a safe, convenient way to assess driving performance after a stroke. Such traditional research simulators are useful in recreating street traffic scenarios, but are often expensive, with limited physics models and graphics rendering. In contrast, racing simulators developed for motorsport professionals and enthusiasts offer high levels of realism, run on consumer-grade hardware, and can provide rich telemetric data. However, most offer limited simulation of traffic scenarios. This pilot study compares the feasibility of research simulation and racing simulation in a sample with minor stroke. We determine that the racing simulator is tolerated well in subjects with a minor stroke. There were correlations between research and racing simulator outcomes with psychometric tests associated with driving performance, such as the Trails Making Test Part A, Snellgrove Maze Task, and the Motricity Index. We found correlations between measures of driving speed on a complex research simulator scenario and racing simulator lap time and maximum tires off track. Finally, we present two models, using outcomes from either the research or racing simulator, predicting road test failure as linked to a previously published fitness-to-drive calculator that uses psychometric screening.

Standardized on-road tests assessing fitness-to-drive in people with cognitive impairments: A systematic review

Objective

The on-road assessment is the gold standard because of its ecological validity. Yet existing instruments are heterogeneous and little is known about their psychometric properties. This study identified existing on-road assessment instruments and extracted data on psychometric properties and usability in clinical settings.

Method

A systematic review identified studies evaluating standardized on-road evaluation instruments adapted for people with cognitive impairment. Published articles were searched on PubMed, CINHAL, PsycINFO, Web of Science, and ScienceDirect. Study quality and the level of evidence were assessed using the COSMIN checklist. The collected data were synthetized using a narrative approach. Usability was subjectively assessed for each instrument by extracting information on acceptability, access, cost, and training.

Results

The review identified 18 published studies between 1994 and 2016 that investigated 12 different on-road evaluation instruments: the Performance-Based Driving Evaluation, the Washington University Road Test, the New Haven, the Test Ride for Practical Fitness to Drive, the Rhode Island Road Test, the Sum of Manoeuvres Score, the Performance Analysis of Driving Ability, the Composite Driving Assessment Scale, the Nottingham Neurological Driving Assessment, the Driving Observation Schedule, the Record of Driving Errors, and the Western University’s On-road Assessment. Participants were mainly male (64%), between 48 and 80 years old, and had a broad variety of cognitive disorders. Most instruments showed reasonable psychometric values for internal consistency, criterion validity, and reliability. However, the level of evidence was poor to support any of the instruments given the low number of studies for each.

Conclusion

Despite the social and health consequences of decisions taken using these instruments, little is known about the value of a single evaluation and the ability of instruments to identify expected changes. None of the identified on-road evaluation instruments seem currently adapted for clinical settings targeting rehabilitation and occupational priorities rather than road security alone.

Study registration

PROSPERO registration number CRD42018103276.

The impact of driving cessation for people with dementia - An integrative review

At the point of diagnosis of dementia many people will be driving and go on to experience the significant life transition from driver to non-driver. Driving plays an important role in society enhancing independence, quality of life and general health and well-being. Hence cessation from driving can be a very difficult life transition to make. The aim of this integrative review was to summarise what is known about the impact and experience for people with dementia and their carers in the 'post-cessation' phase of retiring from driving. Thematic analysis utilised themes identified in previous life transition research focusing on driving cessation and these included processes, influences, emotions, roles and programmes. Analysis revealed a lack of formal processes to follow in surrendering one's licence and that the medical professions and multi-disciplinary teams should take more responsibility for the legal processes of driving cessation and supporting individuals at the point of and following this disclosure. People with dementia and their carers experience a significant impact upon their life roles and considerable emotional and psychological consequences. The review also suggested that there are a variety of influences affecting the life transition period from driver to non-driver such as family support and access to alternative forms of transport and that there is a need for development for interventions/programmes to support individuals with dementia post-driving cessation.

Reliability and Validity of a Method for Assessment of Executive Functions in Drivers

The quality of drivers’ performance is one of the crucial components related to road safety. One of the key cognitive characteristics related to the ability to drive safely are executive functions. The main goal of the presented research is to propose a new method (Trace-route task) for assessment of executive functions in drivers. The present article discusses the results of two consecutive studies. Study one aims to determine the validity and reliability of the method used and includes 134 participants, equally divided in two groups—people with disturbances in executive functions and people from the general population. Study two aims to assess the ability of the method to distinguish drivers with risky behavior. It includes 1440 participants divided in two groups—people with and without actual risky driving behavior. The results from the studies show that people with different neurological or psychiatric diseases and drivers with different road violations demonstrate worse planning ability, working memory, decision making, and cognitive flexibility. This data show that the trace-route task method is a valid and reliable instrument for assessing executive functions and has the ability to distinguish people with risky driving behavior from those who drive safely. This study reveals that the proposed method can be used for implementation in the area of traffic psychology.

Driver safety in patients with primary brain tumors

BACKGROUND

Operating a motor vehicle involves multiple cognitive and sensorimotor faculties. Neurological conditions pose driving risk, but this has not been examined in patients with primary brain tumors.

METHODS

Sixty-four patients with primary brain tumors (32 left hemisphere; 69% glioblastoma) completed the Cognitive Behavioral Driver's Inventory (CBDI). A subset also completed broader cognitive testing. Patient characteristics, CBDI measures, and broader neuropsychological test scores were compared between Passing and Nonpassing groups. Follow-up logistic regression analyses identified patient characteristics and CBDI measures predictive of Pass/Nonpass outcome. Point-biserial correlations determined associations between neuropsychological tests and CBDI outcome.

RESULTS

Sixty-nine percent of patients were classified as passing the CBDI. Nonpassing patients were older and more likely to have WHO grade IV and temporal lobe tumors. Age was the most salient predictor of CBDI performance. CBDI measures of speeded visual search and set-shifting, speeded response inhibition, vigilance and freedom from distractibility, and basic visual scanning speed were predictive of Pass/Nonpass outcome. Neuropsychological tests of memory in particular, but also speeded visual scanning and discrimination, executive function, basic visual attention, visuoconstruction, and manual dexterity (dominant hand), were associated with CBDI outcome.

CONCLUSIONS

A sizeable proportion of patients with primary brain tumors appear at risk of driving difficulty, particularly those with higher-grade tumors and of older age. Memory, visual attention, and executive difficulties appear to contribute most to driving safety risk as determined by the CBDI. These results highlight the importance of driving safety screening in this population.

Semi-Autonomous Vehicles as a Cognitive Assistive Device for Older Adults

Losing the capacity to drive due to age-related cognitive decline can have a detrimental impact on the daily life functioning of older adults living alone and in remote areas. Semi-autonomous vehicles (SAVs) could have the potential to preserve driving independence of this population with high health needs. This paper explores if SAVs could be used as a cognitive assistive device for older aging drivers with cognitive challenges. We illustrate the impact of age-related changes of cognitive functions on driving capacity. Furthermore, following an overview on the current state of SAVs, we propose a model for connecting cognitive health needs of older drivers to SAVs. The model demonstrates the connections between cognitive changes experienced by aging drivers, their impact on actual driving, car sensors’ features, and vehicle automation. Finally, we present challenges that should be considered when using the constantly changing smart vehicle technology, adapting it to aging drivers and vice versa. This paper sheds light on age-related cognitive characteristics that should be considered when developing future SAVs manufacturing policies which may potentially help decrease the impact of cognitive change on older adult drivers.

Cognitive prerequisites for fitness to drive: Norm values for the TMT, UFOV and NorSDSA tests

Background: Fitness-to-drive assessment is a growing area for occupational therapists. There are few off-road tests specially developed to assess fitness to drive, and several cognitive tests have no age-specific norms.Aims/objectives: The aim was to identify and describe age-related norm values for the Trail Making Test, Nordic Stroke Driver Screening Assessment and Useful Field of View test, and to study inter-correlation between test results.Materials and methods: The sample included 410 volunteers; 149 men and 261 women, mean age 52 ± 16.8 years. Commonly used off-road tests were used: TMT A and B, UFOV and NorSDSA.Results: Normative data for the specific subtests and total score for NorSDSA and UFOV are provided and presented in four age groups. Age correlated with the results for most of the subtests.Conclusions: Off-road cognitive test scores are necessary and valuable for occupational therapists in their contribution to the final decision on continued driving. In clinical practice, it can be difficult to interpret cognitive test results when working with driving assessments. Age-based norm values are suggested to be a way to provide clinicians with a benchmark against which scores can be compared.Significance: Age-based norms can guide occupational therapists working with fitness to drive.

Driving Cessation and Cognitive Dysfunction in Patients with Mild Cognitive Impairment

Although driving by adults with cognitive impairment is an important public health concern, little is known about the indicators of driving cessation in patients with mild cognitive impairment (MCI). We aimed to investigate the prevalence of driving cessation in patients with MCI and the predictive value of cognitive performances for driving cessation. Patients with MCI were recruited in the Seoul National University Bundang Hospital; they met following inclusion criteria. Age range of 51–80 years, Clinical Dementia Rating scale score of 0.5, and ever car drivers including former and current drivers. All participants underwent comprehensive standardized cognitive assessments and information on driving status was obtained via an interview using a systematic questionnaire. The median age of the 135 participants was 72 years, and 54 participants (40%) were women; 93 patients (68.9%) were current drivers and 42 (31.1%) were former drivers. In univariate analysis, former drivers showed poorer performances in digit span backward and categorical fluency tests than current drivers. In multivariate logistic regression analysis, a poor digit span backward test score was significantly related with driving cessation (odds ratio: 0.493, 95% confidence interval: 0.258–0.939). In patients with MCI, poor performance in the digit span backward test, which represents impaired working memory capacity, was associated with a higher probability of driving cessation.

The MMSE should not be the sole indicator of fitness to drive in mild Alzheimer's dementia

Since Alzheimer’s disease may affect driving performance, patients with Alzheimer’s disease are assessed on fitness to drive. On-road driving assessments are widely used, and attempts have also been made to develop strategies to assess fitness to drive in a clinical setting. Preferably, a first indication of fitness to drive is obtained quickly after diagnosis using a single test such as the Mini-Mental State Examination (MMSE). The aim of this study is to investigate whether the MMSE can be used to predict whether patients with Alzheimer’s disease will pass or fail an on-road driving assessment. Patients with Alzheimer’s disease (n = 81) participated in a comprehensive fitness-to-drive assessment which included the MMSE as well as an on-road driving assessment [PLoS One 11(2):e0149566, 2016]. MMSE cutoffs were applied as suggested by Versijpt and colleagues [Acta Neurol Belg 117(4):811–819, 2017]. All patients with Alzheimer’s disease who scored below the lower cutoff (MMSE ≤ 19) failed the on-road driving assessment. However, a third of the patients with Alzheimer’s disease who scored above the upper cutoff (MMSE ≥ 25) failed the on-road driving assessment as well. We conclude that the MMSE alone has insufficient predictive value to correctly identify fitness to drive in patients with very mild-to-mild Alzheimer’s disease implicating the need for comprehensive assessments to determine fitness to drive in a clinical setting.

Driving Ability in Alzheimer Disease Spectrum: Neural Basis, Assessment, and Potential Use of Optic Flow Event-Related Potentials

Driving requires multiple cognitive functions including visuospatial perception and recruits widespread brain networks. Recently, traffic accidents in dementia, particularly in Alzheimer disease spectrum (ADS), have increased and become an urgent social problem. Therefore, it is necessary to develop the objective and reliable biomarkers for driving ability in patients with ADS. Interestingly, even in the early stage of the disease, patients with ADS are characterized by the impairment of visuospatial function such as radial optic flow (OF) perception related to self-motion perception. For the last decade, we have studied the feasibility of event-related potentials (ERPs) in response to radial OF in ADS and proposed that OF-ERPs provided an additional information on the alteration of visuospatial perception in ADS (1, 2). Hence, we hypothesized that OF-ERPs can be a possible predictive biomarker of driving ability in ADS. In this review, the recent concept of neural substrates of driving in healthy humans are firstly outlined. Second, we mention the alterations of driving performance and its brain network in ADS. Third, the current status of assessment tools for driving ability is stated. Fourth, we describe ERP studies related to driving ability in ADS. Further, the neural basis of OF processing and OF-ERPs in healthy humans are mentioned. Finally, the application of OF-ERPs to ADS is described. The aim of this review was to introduce the potential use of OF-ERPs for assessment of driving ability in ADS.

Aiding medical professionals in fitness-to-drive screenings for elderly drivers: development of an office-based screening tool

ABSTRACTBackground:Elderly drivers are an increasing group in society. Previous research has found that functional and cognitive abilities are more important for driving abilities than biological age. In an attempt to conserve independent mobility for elderly drivers, many researchers have focused on elderly drivers diagnosed with cognitive decline (mild cognitive impairment or mild Dementia). This study is the first to focus on elderly drivers with cognitive complaints or suspected of diminished fitness to drive by an (in)formal caregiver as an at-risk group.

METHODS

The main objective of this study was to develop a fitness to drive screening tool for elderly drivers to be used in a doctor's office. Furthermore, this study investigated the additional value of driving simulator tests in the assessment of fitness to drive. Both screenings (functional abilities and driving simulator test) were benchmarked against the official Belgian fitness to drive licensing procedure.

RESULTS

One-hundred thirty-six elderly drivers participated in a functional abilities screening, a driving simulator assessment and an on-road driving test. Sixty-five percent of the sample was considered fit to drive. Visual acuity, physical flexibility, and knowledge of road signs were found to be the best predictive set of tests for the on-road fitness to drive outcome. A performance based driving simulator assessment increased predictive accuracy significantly.

CONCLUSION

The proposed screening procedure saves part of the at-risk elderly driver population from stressful and costly on-road driving evaluations. This procedure provides more information of an individual driver's specific driving parameters. This opens doors for personalized older driver training to maintain independent mobility in later life.

Adherence to guidelines when evaluating fitness-to-drive in the elderly: a practice review of Swiss physicians

OBJECTIVE We aimed to explore the extent to which general practitioners (GPs) in Western Switzerland adhere to Swiss recommendations when assessing fitness-to-drive in the elderly. METHODS A random sample of 500 GPs practicing in Vaud, Neuchatel and Jura, and all GPs certified to conduct fitness-to-drive assessments in Geneva (“experts”, n = 69) were invited to participate. They were asked how often they performed twenty procedures (recommended in Swiss guidelines developed by experts in traffic medicine) when assessing older drivers during the previous year, scored on a five-point Likert scale ranging from “never” to “always performed”. The GPs were considered to be adhering to the recommended procedure if they performed it often or always. We computed the proportion of GPs adhering to each procedure, and compared GPs with or without specialised expertise. RESULTS A total of 268 GPs completed the questionnaire (participation rate 47%). The most frequently reported procedures were asking for current medication (96%), cardiovascular (94%) and neurological diseases (91%), and screening for visual acuity impairment (93%), whereas the least frequently reported procedures were screening for cognitive impairment in drivers aged between 70 and 80 years (44%) and for mood disorder (31%), asking for a history of driving license withdrawal (38%), and interviewing close relatives (10%). Six procedures were statistically significantly more frequently performed by the experts than by the other GPs. In general, GPs reported using validated tools, except when screening for at-risk drinking and mood disorder (tools used by 26 and 28%, respectively). CONCLUSIONS Many Swiss GPs seem not to systematically follow the current Swiss recommendations. Although several important procedures appear to routinely be part of older drivers’ assessment, others are infrequently performed. Further research should identify how GPs select the recommended items to which they adhere and those they never apply, and how to facilitate the use of recommended procedures to help them decide if a person is fit, unfit or requiring further evaluation.

Driving and Patients With Dementia

Driving is a symbol of autonomy and independence, eagerly awaited during adolescence, cherished during adulthood and reluctantly rescinded during old age. It is nevertheless an individual’s privilege, not right, especially as driving may affect other drivers and pedestrians on the road. It is therefore not only the individual patient who is at stake but essentially the entire community. In this case scenario, we describe the situation that arose when a patient with multi-infarct dementia wanted to go for a drive and his son and grandson tried to convince him that he could no longer drive. What went wrong in the caregivers/patient interaction is presented. The futility of arguing with patients who have dementia is highlighted as well as the suspiciousness it may generate. Alternate actions that can be useful to avoid/avert the situation from escalating and having a catastrophic ending are discussed. Testing/evaluating patients with dementia for fitness to drive is also reviewed and a list of select resources is included.

Computer-Based Driving in Dementia Decision Tool With Mail Support: Cluster Randomized Controlled Trial

Background

Physicians often find significant challenges in assessing automobile driving in persons with mild cognitive impairment and mild dementia and deciding when to report to transportation administrators. Care must be taken to balance the safety of patients and other road users with potential negative effects of issuing such reports.

Objective

The aim of this study was to assess whether a computer-based Driving in Dementia Decision Tool (DD-DT) increased appropriate reporting of patients with mild dementia or mild cognitive impairment to transportation administrators.

Methods

The study used a parallel-group cluster nonblinded randomized controlled trial design to test a multifaceted knowledge translation intervention. The intervention included a computer-based decision support system activated by the physician-user, which provides a recommendation about whether to report patients with mild dementia or mild cognitive impairment to transportation administrators, based on an algorithm derived from earlier work. The intervention also included a mailed educational package and Web-based specialized reporting forms. Specialists and family physicians with expertise in dementia or care of the elderly were stratified by sex and randomized to either use the DD-DT or a control version of the tool that required identical data input as the intervention group, but instead generated a generic reminder about the reporting legislation in Ontario, Canada. The trial ran from September 9, 2014 to January 29, 2016, and the primary outcome was the number of reports made to the transportation administrators concordant with the algorithm.

Results

A total of 69 participating physicians were randomized, and 36 of these used the DD-DT; 20 of the 35 randomized to the intervention group used DD-DT with 114 patients, and 16 of the 34 randomized to the control group used it with 103 patients. The proportion of all assessed patients reported to the transportation administrators concordant with recommendation did not differ between the intervention and the control groups (50% vs 49%; Z=−0.19, P=.85). Two variables predicted algorithm-based reporting—caregiver concern (odds ratio [OR]=5.8, 95% CI 2.5-13.6, P<.001) and abnormal clock drawing (OR 6.1, 95% CI 3.1-11.8, P<.001).

Conclusions

On the basis of this quantitative analysis, in-office abnormal clock drawing and expressions of concern about driving from caregivers substantially influenced physicians to report patients with mild dementia or mild cognitive impairment to transportation administrators, but the DD-DT tool itself did not increase such reports among these expert physicians.

Trial Registration

ClinicalTrials.gov NCT02036099; https://clinicaltrials.gov/ct2/show/NCT02036099 (Archived by WebCite at http://www.webcitation.org/6zGMF1ky8)