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临床试验/NCT04648735
NCT04648735已完成不适用

Driving Evaluation and Fitness for Persons With Cognitive Impairments

National Cheng Kung University0 个研究点目标入组 41 人开始时间: 2015年8月1日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
41
主要终点
driving evaluation

研究概览

简要总结

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.

详细描述

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.

研究设计

研究类型
Interventional
分配方式
Non Randomized
干预模型
Parallel
主要目的
Other
盲法
Double (Participant, Outcomes Assessor)

盲法说明

the participant and the outcome assessor were both blind to the design.

入排标准

年龄范围
50 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • 未提供

排除标准

  • 未提供

结局指标

主要结局

driving evaluation

时间窗: 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.

control of speed

时间窗: 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.

control of steering wheel

时间窗: 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

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Ling-Hui Chang

Associate Professor

National Cheng Kung University

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