View clinical trials related to Driving Impaired.
Filter by:Many drugs used during anesthesia can reduce alertness and therefore present potential risks when driving a vehicle (risk of accident). Some scientific societies recommend not driving for 12 to 24 hours after sedation or general anesthesia. However, there are conflicting data in the literature showing that general anesthesia in healthy volunteers does not impair driving ability as early as 2 hours after the end of anesthesia. This need not to drive requires the outpatient to have an escort. Unfortunately, some patients find it difficult to benefit from an adult escort, which can lead to last minute cancellations, absences or the need for a classic overnight hospital stay. The main objective of the study is to compare with a simulator the driving performances of patients who have benefited from deep sedation for an outpatient endoscopic digestive procedure when they have met the discharge criteria to the performances of their escorts in order to determine if the conditions are as safe to let them drive home.
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.
Insurance User Based Insurance (UBI) users will be invited to participate in a randomized control trial where they will be randomized into 1 of 4 arms: (Arm 1) standard UBI, (Arm 2) Standard UBI + Free phone mounts (Arm 3) Commitment + Habit Tips, (Arm 4) Gamification + Social Competition,(Arm 5) Contest Financial Incentives. Each successive arm will experience all of the elements that the lower-numbered arms will.
The primary objective of this study is to assess the effect of the natural course of postprandial hypoglycemia vs. a postprandial euglycaemic condition on driving performance in individuals with confirmed postprandial hyperinsulinaemic hypoglycaemia after gastric-bypass surgery.
Epidemiological studies have established a link between collisions while driving and cannabis use. With the changing legal landscape around cannabis, there is much interest in determining per se limits of cannabis while driving. The present study will evaluate driving on a driving simulator after smoking placebo or cannabis with 3 different levels of THC. THC is the active component in cannabis and blood, urine and oral fluid levels of THC will be correlated with driving impairment.
This is a randomized blinded study to assess the sedative effect of 150 mg TID tolperisone and 10 mg TID cyclobenzaprine compared to placebo on simulated driving performance and cognitive functioning in healthy adult volunteers.
This project aims to demonstrate the feasibility of a scalable behavioral intervention using smartphone-paired breathalyzers and text message aimed at reducing drinking and driving among individuals who report heavy drinking. All participants receive a smartphone breathalyzer to provide feedback on their estimated blood alcohol level. The intervention compares loss- and gain-framed messages that make the consequences of drinking and driving more salient to standard messages not to drink and drive.
Parkinson's disease (PD) impacts an individual's fitness to drive in a number of ways that increase the crash risk in this population. Current vehicle automation technologies are available, that although designed for the general public, may help drivers with PD stay on the roads longer and safer than currently possible. Using a driving simulator (a safe and cost-effective alternative with no impact on licensing for participants), this study will investigate the feasibility and preliminary efficacy of utilizing in-vehicle technology (i.e., a simulated lane change assistance system) to address critical driving errors in individuals with mild to moderate Parkinson's disease.
A) The main purposes of this study are (i) to develop a related virtual reality (VR) environment in order to judge the nighttime driving ability under mesopic and under glare conditions (ophthalmologically healthy subjects and patients with incipient to intermediate cataract, i.e. opacities of the human lens, will participate in this study), (ii) to validate the above-mentioned VR environment with respect to a related on-road driving scenario under mesopic and glare conditions, (iii) to validate clinical photopic and mesopic contrast vision tests and glare tests with respect to the prediction of nighttime driving ability, (iv) to assess the test retest reliability of clinical photopic and mesopic contrast vision tests B) Background: An intact mesopic vision and a glare sensitivity within a normal range are essential pre-requisites for safe driving at nighttime (DOG & BVA, 2011). Anderson & Holiday (1995) have shown that (simulated) opacities of the refractive media (with only minor effects on daytime visual acuity) induce a pronounced impairment of contrast sensitivity under nighttime conditions. Especially under glare conditions by the headlights of traffic on the opposite lane or by stationary street illumination, an impairment of the mesopic vision may cause traffic hazards. The prevalence of impairments of the central visual acuity, the mesopic vision and the glare sensitivity is significantly higher for subjects being involved in nighttime traffic accidents (Lachenmayr, 1998). Furthermore, these impairments occur more frequently in aged drivers and are, among others, related to an increase of age-related media opacities (Aulhorn & Harms, 1970, Babizhayev, 2003). Due to the demographic change, the relevance of nighttime driving ability is increasing in the next years since more and more aged employees will participate at the motorized traffic at night. The German Fahrerlaubnisverordnung (FEV i.e. driving license regulation) specifies pass/fail criteria with regard to mesopic vision and glare sensitivity. The luminance level during nighttime driving is usually between 0.01 and 1 cd/m^2, and therefore can be attributed to the level of mesopic vision. However, over the last years, the attempt was made to introduce photopic contrast sensitivity test to diagnose nighttime driving ability (i.e. testing of contrast vision under daytime conditions without time consuming adaptation procedures). Current research aims at investigating the relationship between contrast tests under various luminance conditions (Wilhelm et al, 2013). It is questionable, whether photopic tests are at all reliable predictors with regard to nighttime driving (Gramberg-Danielsen et al., 1984, Hertenstein et al., Graefe´s Archive of Ophthalmology, 2016).