Drive
Conditions
Brief summary
Drivers aged 65+ depend on their car(s) to get to the places and see the people that are important to them. Losing a license in later life has been linked to higher rates of loneliness, depression, and even admission to long-term care; a fact that is particularly relevant when considering the impact of the COVID-19 pandemic. While drivers in this age group are among the safest on the road, they have one of the highest risks of collision when distance driven is considered and are more likely to be seriously injured or killed. Motor vehicle crashes and falls are the top causes of injury-related hospitalizations in seniors. Through a partnership with older adults, driving instructors, and health professionals, we developed the Refreshing Older Adult Driving Skills (ROADSkills) program. This program uses a Global Positioning System (GPS) device that can be placed in people's cars, which can track their real-world, everyday driving patterns, including speeding and hard braking, alongside video data of their behind-the-wheel behaviour. Using this data, a personalized video will be created using information captured by the device in the older driver's car. This study will determine if the older drivers who receive this video feedback perform better than those who do not receive such feedback. Because this is the first time a study will use this type of behavioural intervention, we are interested in hearing from older drivers about their experience of participating in the study. The findings will help us to design a larger, national study of the ROADSkills program in Canada.
Interventions
BEHAVIORALHealthy Aging
Participants in active comparator arm of the study will watch a 30-min video and receive a written brochure that provide tips for maintaining a healthy lifestyle in later life, including the importance of community mobility.
BEHAVIORALROADskills program
Participants in the intervention arm of the study will watch a 30-minute personalized video on their driving that uses information compiled from a GPS device that will be installed in their vehicle during their baseline visit.
Sponsors
Ontario Ministry of Transportation
McMaster University
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
DOUBLE (Subject, Outcomes Assessor)
Masking description
Video recordings of the on-road evaluation wil be scored by an independent (outcomes) assessor blinded to participant identity, group allocation, and whether the drive was from the baseline or after the intervention. Blinding will be enforced by randomly assigning a unique number to each video after a participant has completed their 3 months of driver monitoring. Videos will be forwarded to the rater in batches of 8-10.
Intervention model description
2-arm, parallel-group, double-blinded Randomized Controlled trial
Eligibility
Sex/Gender
ALL
Age
65 Years to 79 Years
Healthy volunteers
Yes
Inclusion criteria
* Aged 65-79 to reduce co-intervention bias, as the Ministry of Transportation has a Senior Driver Renewal program that screens drivers aged 80 and older * Hold a valid driver's license * Owner and access to insured vehicle * Speak and understand English fluently * Visited an optometrist in last two years * if corrective lens are required for driving, prescriptions should be up-to-date
Exclusion criteria
* If participated in a recent Randomized Controlled Trial that examined the effectiveness of video-based intervention, will be excluded due to potential for bias * Known serious or terminal illness or presence of contraindications for driving * Performance on cognitive screening: 1) score of \< 21 on the Montreal Cognitive Assessment (MoCA; Nasreddine et al., 2005) 2) taking longer than 180 seconds or 3 or more errors on the Trail Making Test B (Bowie & Harvey, 2006).
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| weighted electronic Driving Observation Schedule (eDOS) | 3 months | The weighted eDOS (Chen et al., 2020; Mazer et al., 2021) will be used to evaluate the behind-the-wheel performance of older drivers. The weighted eDOS accounts for route complexity where a total score is calculated, as the sum of errors weighted for its risk level. For each driving error, a weight is given (1=low risk; 2=moderate risk; 3=high risk) based on the type of error and the environment where it was made. For example, no signal at intersection with only one lane in low speed is considered a low-risk error whereas an inappropriate gap when making a left turn across more than one lane of traffic is a high-risk error. The weighted eDOS will be scored by a trained rater (blinded) using the GPS data of a 20-25- minute route. The weighted eDOS emerged from research examining the real-world driving of older drivers and has good inter-rater reliability, internal consistency and ecological validity; acceptability among older drivers was high (Koppel et al., 2016; 2017). |
Countries
Canada
Contacts
Primary ContactBrenda H Vrkljan, PhD
Outcome results
None listed