ong-term effects of Advanced Driver Assistence Systems (ADAS) on driving performance of older drivers with and without mild cognitive or physical impairments: A driving simulator study

Phase 2

Recruiting

Conditions: mild cognitive impairment
very mild dementia
10012272
10028037

Registration Number: NL-OMON36501

Lead Sponsor: Europese Commissie

Brief Summary: Not available

Detailed Description: Not available

Recruitment & Eligibility

Status: Recruiting

Sex: Not specified

Target Recruitment: 36

Inclusion Criteria

Inclusion criteria (general)
- Age between 65 years and 80 years
- Valid driver*s license
- More than 20 000 km of total driving experience
- Still driving regularly (driving at least once a week for the last year)
Inclusion criteria (PD or MCI)
- Diagnosis of Parkinson*s disease with mild to moderate symptomatology (Hoehn and Yahr 1-2)
- Diagnosis of Mild Cognitive Impairment or very mild dementia (CDR < 1)

Exclusion Criteria

- Mild to moderate dementia (CDR >= 1)
- Sensitivity to simulator sickness/ motion sickness
- Other serious disorders (except PD and MCI) that interfere with driving (stroke, schizophrenia)
- Visual acuity less than 0.6
- Visual field less than 120° on the horizontal dimension

Study & Design

Study Type: Interventional

Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
<p>Objective scores derived from driving performance in driving simulator, main<br /><br>study parameters are the number of crashes and traffic conflicts (near crashes)<br /><br>and a compound score for hindrance to other traffic based on the deviation of<br /><br>the speed from the optimal speed for the various road and traffic situations.<br /><br>Secondary parameters are the average and standard deviation of lateral position<br /><br>on straight sections and around intersections. Norm violations are also<br /><br>investigated as well as workload, acceptance, and trust in the system.</p><br>

Secondary Outcome Measures

Name	Time	Method
<p>Secondary parameters are the average and standard deviation of lateral position<br /><br>on straight sections and around intersections. Norm violations are also<br /><br>investigated as well as workload, acceptance, and trust in the system.</p><br>