Longitudinal Research on Aging Drivers (Longroad): Study Design and Methods

G, Li

doi:10.1093/geroni/igx004.4597

Cited by 4 publications

(4 citation statements)

References 46 publications

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“…Family members’ views on their parent’s driving were largely elicited using questions with response scales of 1 to 5 or 1 to 7. Items about driving importance, ability, and safety were adapted from previous research with older drivers (Li et al, 2017; Molnar et al, 2014). Items on challenging driving tasks were derived from Croston et al (2009) and used a 3-point scale ( not at all, somewhat, very challenging ).…”

Section: Methodsmentioning

confidence: 99%

Older Drivers and Their Future Mobility: Views and Involvement of Their Adult Children

2019

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In car-dependent societies like New Zealand, getting the right balance between mobility and safety could improve outcomes for older people but will require changes to policy and practice. Driving cessation is a major life transition with many impacts, and adult children are frequently involved in both the transition to non-driving and maintaining mobility afterward. This cross-sectional study ( N = 675) sought perspectives of family members of drivers aged 65 or older enrolled in a longitudinal study. Most (94%) were adult children, two thirds were women, and 19% were moderately to extremely anxious about their parent’s driving. Loss of independence, driving’s role in identity, and reluctance to rely on family were recognized as important barriers to driving cessation. Most (80%) felt that families, as well as older drivers, would be adversely affected by driving cessation. Families identified accessible local information and services, alternative transport, and community-based programs for drivers and families as assistance most needed.

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Section: Methodsmentioning

confidence: 99%

Older Drivers and Their Future Mobility: Views and Involvement of Their Adult Children

2019

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“…The completely anonymous design of the data collection may limit some of this bias, as there was no identifying information collected. Although large side-of-road observational studies ( 32 , 33 ), and naturalistic driving studies using in-car monitoring systems ( 34 – 36 ) can objectively examine DD behaviors and avoid this bias, surveys such as done in this study that rely on self-reported data are less expensive and allow for large sample sizes. Additionally, this survey format allows for exploration of older adult drivers’ perceptions of their own driving behavior.…”

Section: Discussion Of Resultsmentioning

confidence: 99%

Distracted Driving Behaviors and Beliefs among Older Adults

Hill

Baird

Engelberg

et al. 2018

Transportation Research Record: Journal of the Transportation R

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Distracted driving, and especially cell phone use, is a prevalent contributor to crashes. Older drivers have an increased risk of committing safety errors while driving, especially with distraction. The objective of this study was to characterize phone-related distractions in older drivers (age > 65) and identify intervention strategies likely to reduce cell distraction. A 64-question survey was offered online and on paper. A distracted driving scale (DDS) was created by summing responses on 11 distracted driving questions related to phone use (possible score range 0 to 44). Linear regression was performed to identify variables associated with a higher DDS score. A total of 363 older drivers completed the survey; the mean age was 73 and 56% were female. 60% of older adults reported using their cell phone while driving at least some of the time. Participants perceived their own ability as capable or very capable when driving and using: handheld phone (40%); hands-free phone (78%); other tasks (38%) while driving. 32% of older adults who drive minors reported driving while distracted. 30% of those who work felt obligated to take work-related calls. Variables associated with distracted driving include younger age, driving more miles, perceived hands-free skill, smart phone ownership, and being employed or self-employed. State laws and potential loss of insurance coverage with distracted driving were cited as effective penalties. Older adults are engaging in distracted driving, including with minors in the car. Education, state laws, and altering insurance coverage may mitigate this behavior.

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“…The AUTO study is the first large-scale trial in the United States for a decision aid for driving retirement among older adults. Its randomized design allows examination of the effect of a decision aid on both immediate and longterm outcomes, its multi-site recruitment will improve generalizability, and its longitudinal follow-up will complement existing observational studies of driving behaviors among older adults, like the LongROAD study and Candrive/Ozcandrive (Li et al 2017a;Marshall et al 2013).…”

Section: Discussionmentioning

confidence: 99%

The Advancing Understanding of Transportation Options (AUTO) study: design and methods of a multi-center study of decision aid for older drivers

et al. 2021

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Background Decision-making about when to stop driving for older adults involves assessment of driving risk, availability of support or resources, and strong emotions about loss of independence. Although the risk of being involved in a fatal crash increases with age, driving cessation can negatively impact an older adult’s health and well-being. Decision aids can enhance the decision-making process by increasing knowledge of the risks and benefits of driving cessation and improve decision quality. The impact of decision aids regarding driving cessation for older adults is unknown. Methods The Advancing Understanding of Transportation Options (AUTO) study is a multi-site, two-armed randomized controlled trial that will test the impact of a decision aid on older adults’ decisions about changes in driving behaviors and cessation. AUTO will enroll 300 drivers age ≥ 70 years with a study partner (identified by each driver); the dyads will be randomized into two groups (n = 150/group). The decision aid group will view the web-based decision aid created by Healthwise at baseline and the control group will review information about driving that does not include evidence-based elements on risks and benefits and values clarification about driving decisions. The AUTO trial will compare the effect of the decision aid, versus control, on a) immediate decision quality (measured by the Decisional Conflict Scale; primary outcome); b) longitudinal psychosocial outcomes at 12 and 24 months (secondary outcomes); and c) longitudinal driving behaviors (including reduction or cessation) at 12 and 24 months (secondary outcomes). Planned stratified analyses will examine the effects in subgroups defined by cognitive function, decisional capacity, and readiness to stop driving. Discussion The AUTO study is the first large-scale randomized trial of a driving decision aid for older adults. Results from this study will directly inform clinical practice about how best to support older adults in decision-making about driving. Trial registration ClinicalTrials.gov: NCT04141891. Registered on October 28, 2019. Located at https://clinicaltrials.gov/ct2/show/NCT04141891

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Longitudinal Research on Aging Drivers (Longroad): Study Design and Methods

Cited by 4 publications

References 46 publications

Older Drivers and Their Future Mobility: Views and Involvement of Their Adult Children

Older Drivers and Their Future Mobility: Views and Involvement of Their Adult Children

Distracted Driving Behaviors and Beliefs among Older Adults

The Advancing Understanding of Transportation Options (AUTO) study: design and methods of a multi-center study of decision aid for older drivers

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