Driving Evaluation and Fitness for Persons With Cognitive Impairments

December 2, 2020 updated by: Ling-Hui Chang, National Cheng Kung University

Driving is an important activity for older adults because it frequently relates to personal independence and wellbeing. This study compared the driving behaviors of older drivers with normal cognition and with MCI in unfamiliar driving situations and difficult maneuvers, and explored the practice effect on driving performance of drivers with MCI.

This study used an observational, cross-section research design.

Study Overview

Detailed Description

Driving is an important activity for older adults because it is frequently related to personal independence, mobility, social interaction, wellbeing, and confidence. Dementia can impair older adults' driving. The current consensus is that people with moderate or severe dementia are too cognitively impaired to drive safely. Persons with Mild Cognitive Impairment (MCI), often considered a transitional state to dementia, and those with mild dementia can still potentially drive, although some require further evaluation to determine the driver's fitness to drive. Extensive research has been devoted to the development of fitness-to-drive assessments. However, very limited attention has been paid to whether the driving skills of drivers with MCI can improve and thus potentially prolong the driver's safe-driving years.

MCI is a common neurodegenerative disease in older adults, with a prevalence of 16-20%. It is estimated that 20-40% of the MCI population will progress to dementia. Despite the potential driving concerns, it should be noted that over 50% of people with MCI are considered safe drivers. Because un-warranted driving cessation may lead to depression, functional decline, and even increases in the family's care burden, researchers have guarded against the premature revocation of driving rights.

Recent studies exploring the driving behaviors of drivers with MCI have shown inconsistent results. For example, increasing difficulties and unsafe behaviors in driving can be considered early warning signs of possible cognitive impairment. There may be a connection between specific cognitive skills (such as flexibility of visual attention and executive functioning) and poorer driving performance on specific tasks, such as car-following and road-tracking. Drivers with MCI may encounter difficulties at intersections with stop signs or critical light changes, and with headway, driving speed, reaction time, and lateral control. However, the above studies were usually conducted with driving simulators.

Only a few studies have investigated the on-road driving performance of drivers with MCI. Wadley, et al. compared drivers with MCI to drivers with normal cognition on a standardized route with various driving maneuvers frequently encountered in daily life. The results showed "less than optimal" performance, such as statistically significant poor performances in overall driving skills, especially in lane control and left turns. Driving can become increasingly difficult, for the cognitive capacities of older drivers with MCI are likely to deteriorate over time.

Recent evidence has suggested that cognitive training can slow or even reverse the cognitive impairments associated with MCI. Cognition intervention have shown positive improvements in the immediate and delayed memory functions of persons with MCI after intervention. However, advances in cognitive training for persons with MCI have yet to be applied to driver rehabilitation.

Driving rehabilitation includes both screening for unsafe drivers and the provision of individually-tailored interventions for clients with disabilities or those with a recent health event. Older drivers with cognitive impairments, such as dementia, are frequently the focus of driver screening. The current literature on driving training or retraining, however, has focused on other client populations, such as stroke, traumatic head injuries, and spinal cord injuries, and excluded those with cognitive impairments or not included screening for cognitive impairments. Even though systematic reviews by Korner-Bitensky et al. (2009) and Unsworth et al. (2014) support that driver rehabilitation improves the on-road driving performance of older drivers, older drivers with MCI are rarely considered targets for driver re-training. This finding is surprising because the driving skills of drivers with MCI can be compromised. Drivers with MCI can potentially benefit most from driving re-education, yet few studies have discussed issues related to driving training of older drivers with MCI.

In short, it is imperative to maintain the independence of persons with cognitive impairments for as long as possible. Without intervention, the driving competence of persons with MCI is likely to deteriorate as the disease and age progress. This study is to explore this possibility by examining how drivers with MCI perform as compared to drivers with normal cognition when negotiating a new route and whether learning effects would manifest if the drivers were given opportunities to practice.

Study Type

Interventional

Enrollment (Actual)

41

Phase

  • Not Applicable

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

50 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Description

Inclusion criteria

  • age of at least 50 years
  • possession of a valid driving license and driving experience for at least 15 years
  • regular driving habit, defined as at least once a week, and
  • no reported significant driving issues

Exclusion Criteria

  • reported health conditions that could potentially compromise driving competence, such as stroke, Parkinson's disease or other neuromuscular diseases
  • visual impairments without correction, or
  • physical impairments found in physical function assessments

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Other
  • Allocation: Non-Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Double

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Drivers with cognitive impairments
The participants firstly completed a questionnaire of driving history and perceived driving competence, followed with a clinical physical and cognitive-perceptual assessment battery conducted by an occupational therapist to note any potential deficits that might affect driving performance. The participants, on a separate visit, completed three practice runs of a closed-circuit standardized course that included 8 driving maneuvers, followed by an on-road driving in the community fir 30 minutes.

The participants completed the actual driving with a licensed driving instructor on the passenger side in the car and with a dual-control, automatic-transmission car.

Each participant completed three runs of the same route. The first twos were practices to familiarize themselves with the course. The driving instructor graded them on the third run. Each trial took about 10 minutes. The participants were scored according to governmental driver test guidelines. Scoring on individual driving maneuver is weighted. Depending on the type of error, 8, 16 or 32 points were deducted from 100, for example, 32 points for getting too close to pedestrian lane, running a red light or railroad crossing, and 8 points for stopping in S-curve forward and backward. 70 or above is considered as a pass. The occupational therapists in the backseat recorded driving behaviors, including whether the driver checked rear and side mirrors, excessive sweating, distractibility, number of adjustments, etc.

Active Comparator: drivers with normal cognition
The participants firstly completed a questionnaire of driving history and perceived driving competence, followed with a clinical physical and cognitive-perceptual assessment battery conducted by an occupational therapist to note any potential deficits that might affect driving performance. The participants, on a separate visit, completed three practice runs of a closed-circuit standardized course that included 8 driving maneuvers, followed by an on-road driving in the community fir 30 minutes.

The participants completed the actual driving with a licensed driving instructor on the passenger side in the car and with a dual-control, automatic-transmission car.

Each participant completed three runs of the same route. The first twos were practices to familiarize themselves with the course. The driving instructor graded them on the third run. Each trial took about 10 minutes. The participants were scored according to governmental driver test guidelines. Scoring on individual driving maneuver is weighted. Depending on the type of error, 8, 16 or 32 points were deducted from 100, for example, 32 points for getting too close to pedestrian lane, running a red light or railroad crossing, and 8 points for stopping in S-curve forward and backward. 70 or above is considered as a pass. The occupational therapists in the backseat recorded driving behaviors, including whether the driver checked rear and side mirrors, excessive sweating, distractibility, number of adjustments, etc.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
driving evaluation
Time Frame: The participant was scored immediately after practices.
The driving evaluation follows the same format of the governmental on-road driving tests in Taiwan. The test included 8 driving maneuvers on a standardized driving course: pre-drive checks and actions before starting to drive, crosswalk crossing, railway crossing, parking in reverse, parallel parking at roadside, driving forward and backward on a curving road (S-bend), ascending and descending slope, driving around the test circuit. https://tpcmv.thb.gov.tw/english/ServicesEng/LicenseEng/LicenseTest/t03.htm The participants were scored according to governmental driving licensure exam guidelines. Scoring on individual driving maneuver is weighted. Depending on the type of error, 8, 16 or 32 points were deducted from 100, for example, 32 points for getting too close to pedestrian lane. The minimal score is 0 and the maximal score is 100. Higher scores means better performance.
The participant was scored immediately after practices.
control of steering wheel
Time Frame: during the practices
An Android smart phone (LG Nexus 5) was used to record on-road driving behaviors. The phone was equipped with a global positioning system (GPS) mobile application, J device. J device compiled the accelerator, gyroscope, and GPS data at a frequency of 50 Hz. The J device gyroscope data showed changes in driving direction, indicating whether the driver's control of the steering wheel was steady. Lower numbers in gyroscope data meant that the steering wheel was moved little, thus indicating few changes in direction or steadier hands on the steering wheel
during the practices
control of speed
Time Frame: during the practices
An Android smart phone (LG Nexus 5) was used to record on-road driving behaviors. The phone was equipped with a global positioning system (GPS) mobile application, J device (Tsao et al., 2015). J device compiled the accelerator, gyroscope, and GPS data at a frequency of 50 Hz. The J device accelerator data represented changes in the speed of the car, indicating the degree of control the driver had over the accelerator and brake; i.e., whether the driver maintained a steady speed or caused frequent changes in speed. A lower number of accelerations meant that the driver had smaller acceleration changes in a set period of time, indicating a more constant speed and thus better accelerator and brake control. A higher number of accelerations meant that the driver had larger acceleration changes in a set period of time, indicating greater variation in speed and less control of the accelerator and brake.
during the practices

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Ling-Hui Chang, Ph.D, Department of Occupational Therapy, NCKU

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

August 1, 2015

Primary Completion (Actual)

July 31, 2018

Study Completion (Actual)

July 31, 2018

Study Registration Dates

First Submitted

November 22, 2020

First Submitted That Met QC Criteria

November 28, 2020

First Posted (Actual)

December 1, 2020

Study Record Updates

Last Update Posted (Actual)

December 4, 2020

Last Update Submitted That Met QC Criteria

December 2, 2020

Last Verified

December 1, 2020

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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