Browsing by Author "Han, S. Duke"

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    The Advancing Understanding of Transportation Options (AUTO) study: design and methods of a multi-center study of decision aid for older drivers
    (BMC, 2021-05-03) Betz, Marian E.; Omeragic, Faris; Meador, Lauren; DiGuiseppi, Carolyn G.; Fowler, Nicole R.; Han, S. Duke; Hill, Linda; Johnson, Rachel L.; Knoepke, Christopher E.; Matlock, Daniel D.; Moran, Ryan; Medicine, School of Medicine
    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.
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    Impact of the COVID-19 Pandemic on Older Adult Driving in the United States
    (Sage, 2022) Betz, Marian E.; Fowler, Nicole R.; Han, S. Duke; Hill, Linda L.; Johnson, Rachel L.; Meador, Lauren; Omeragic, Faris; Peterson, Ryan A.; DiGuiseppi, Carolyn; Medicine, School of Medicine
    Objectives: To examine how the COVID-19 pandemic affected driving and health outcomes in older adults. Methods: We compared Advancing Understanding of Transportation Options (AUTO) study participants enrolled before (December 2019 to March 2020) versus during the pandemic (May 2020 to June 2021). Participants were English-speaking, licensed drivers (≥70 years) who drove weekly and had a primary care provider at a study site and ≥1 medical condition potentially associated with driving cessation. We used baseline self-reported measures on mobility and health. Results: Compared to those enrolled pre-COVID-19 (n = 61), more participants enrolled during COVID-19 (n = 240) reported driving reductions (26% vs. 70%, p < .001) and more often for personal preference (vs. medical/emotional reasons). While mean social isolation was higher during than pre-COVID-19, self-reported depression, stress, and overall health PROMIS scores did not differ significantly. Discussion: Our findings highlight the resiliency of some older adults and have implications for mitigating the negative effects of driving cessation.
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    “Is it time to stop driving?”: A Randomized Clinical Trial of an Online Decision Aid for Older Drivers
    (Wiley, 2022) Betz, Marian E.; Hill, Linda L.; Fowler, Nicole R.; DiGuiseppi, Carolyn; Han, S. Duke; Johnson, Rachel L.; Meador, Lauren; Omeragic, Faris; Peterson, Ryan A.; Matlock, Daniel D.; Medicine, School of Medicine
    Background: Many older adults face the difficult decision of when to stop driving. We sought to test whether an online driving decision aid (DDA) would improve decision quality. Methods: This prospective two-arm randomized trial enrolled English-speaking licensed drivers (age ≥70 years) without significant cognitive impairment but with ≥1 diagnosis associated with increased likelihood of driving cessation); all participants received primary care in clinics associated with study sites in three states. The intervention was the online Healthwise® DDA for older adults addressing “Is it time to stop driving?”; control was web-based information for older drivers only. The primary outcome was decision conflict as estimated by the Decisional Conflict Scale (DCS; lower scores indicate higher quality). Secondary outcomes were knowledge and decision self-efficacy about driving decisions. We examined post-randomization differences in primary and secondary outcomes by study arm using generalized linear mixed-effects models with adjustment for site and pre-randomization scores. Results: Among 301 participants (mean age: 77.1 years), 51.2% identified as female and the majority as non-Hispanic (99.0%) and White (95.3%); 98.0% lived in an urban area. Participant characteristics were similar by study arm but differed across sites. Intervention participants had a lower mean DCS score (12.3 DDA vs 15.2 control; adjusted mean ratio [AMR] 0.76, 95%CI 0.61–0.95; p=0.017). Intervention participants had higher mean knowledge scores (88.9 DDA vs 79.9 control; OR 1.13, 95%CI 1.01–1.27, p=0.038); there was no difference between groups in self-efficacy scores. The DDA had high acceptability; 86.9% of those who viewed it said they would recommend it to others in similar situations. Conclusions: The online Healthwise® DDA decreased decision conflict and increased knowledge in this sample of English-speaking, older adults without significant cognitive impairment, although most chose to continue driving. Use of such resources in clinical or community settings may support older adults as they transition from driving to other forms of mobility.
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    Relationship of Decisional Conflict About Driving Habits Between Older Adult Drivers and Their Family Members and Close Friends
    (Sage, 2024) Fowler, Nicole R.; Johnson, Rachel L.; Peterson, Ryan; Schroeder, Matthew W.; Omeragic, Faris; DiGuiseppi, Carolyn; Han, S. Duke; Hill, Linda; Betz, Marian E.; Medicine, School of Medicine
    This study examines the relationship of decisional conflict about driving habits between older adult drivers (≥70 years old) and their family members and close friends. This secondary analysis utilizes data originating from a multi-site randomized controlled trial assessing the effect of a driving decision aid (DDA) intervention. Decisional conflict about stopping or changing driving habits for drivers was measured with the Decisional Conflict Scale (DCS). Dyadic associations between drivers’ and study partners’ (SPs’) DCS scores were analyzed using an actor-partner interdependence model. Among 228 driver-SP dyads, Dyadic DCS was correlated at baseline (r = .18, p < .01), and pre-intervention DCS was associated with post-intervention DCS (p < .001 for SPs [β = .73] and drivers [β = .73]). Drivers’ baseline DCS and SPs’ post-intervention DCS were slighly correlated (β = .10; p = .036). Higher decisional conflict about driving among older drivers is frequently shared by their SPs. Shared decisional conflict may persist beyond intervening to support decision-making about driving cessation.
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    Susceptibility to Scams in Older Black and White Adults
    (Frontiers Media, 2021-07-12) Han, S. Duke; Barnes, Lisa L.; Leurgans, Sue; Yu, Lei; Stewart, Christopher C.; Lamar, Melissa; Glover, Crystal M.; Bennett, David A.; Boyle, Patricia A; Neurology, School of Medicine
    Previous reports on racial differences in scam susceptibility have yielded mixed findings, and few studies have examined reasons for any observed race differences. Older Black and White participants without dementia (N = 592) from the Minority Aging Research Study and the Rush Memory and Aging Project who completed a susceptibility to scam questionnaire and other measures were matched according to age, education, sex, and global cognition using Mahalanobis distance. In adjusted models, older Black adults were less susceptible to scams than older White adults (Beta = −0.2496, SE = 0.0649, p = 0.0001). Contextual factors did not mediate and affective factors did not moderate this association. Analyses of specific items revealed Black adults had greater knowledge of scam targeting of older adults and were less likely to pick up the phone for unidentified callers. Older Black adults are less susceptible to scams than demographically-matched older White adults, although the reasons remain unknown.