The complementary utility of cognitive testing and the medication management ability assessment in older adults.

OBJECTIVE: Older adults are susceptible to cognitive declines that may limit independence. Though neuropsychologists opine about risk of functional decline, the degree to which cognitive testing and in-office simulations approximate everyday behavior is unclear. We assessed the complementary utility of cognitive testing and the face-valid Medication Management Ability Assessment (MMAA) to predict medication management among older adults. METHOD: This was a retrospective study of 234 older adults (age = 72 ± 7.7 years; 59% women) who completed the MMAA during outpatient neuropsychological evaluations. Based on comprehensive clinical assessment, most participants (n = 186) were independent in medication management, while 48 received assistance. Demographically adjusted composite scores were derived for attention/processing speed (A/PS), executive functioning (EF), visuospatial/constructional ability (VC), language, and memory domains. Univariate differences in cognition were examined across Assisted versus Independent groups. Logistic regression assessed which cognitive domains independently predicted group status. The incremental value of the MMAA was assessed, holding uniquely associated cognitive test scores constant. RESULTS: Those receiving assistance with medication management performed worse across all neurocognitive domains and the MMAA compared with independent counterparts. EF was the only unique cognitive predictor of medication management status. When modeled alone, EF and MMAA performance correctly classified 79.5% and 80.8% of cases, respectively. When modeled together, both were independently associated with medication management status and correctly classified 83.3% of cases. CONCLUSIONS: EF uniquely predicted medication management status beyond other cognitive domains. The MMAA provided complementary predictive utility. Concurrent interpretation of executive functioning and MMAA performance is advised when assessing older adults suspected of medication mismanagement. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Video feedback intervention for cognitively impaired older drivers: A randomized clinical trial.

INTRODUCTION: This clinical trial aimed to determine whether in-car video feedback about unsafe driving events (UDE) to cognitively impaired older drivers and family members leads to a reduction in such driving behaviors. METHODS: We randomized 51 cognitively impaired older drivers to receive either (1) a weekly progress report with recommendations and access to their videos, or (2) video monitoring alone without feedback over 3 months. RESULTS: UDE frequency/1000 miles was reduced by 12% in feedback (rate ratio [RR] = 0.88, 95% confidence interval [CI] = .58-1.34), while remaining constant with only monitoring (RR = 1.01, 95% CI = .68-1.51). UDE severity/1000 miles was reduced by 37% in feedback (RR = 0.63, 95% CI = .31-1.27), but increased by 40% in monitoring (RR = 1.40, 95% CI = .68-2.90). Cognitive impairment moderated intervention effects (P = .03) on UDE frequency. DISCUSSION: Results suggest the potential to improve driving safety among mild cognitively impaired older drivers using a behavior modification approach aimed at problem behaviors detected in their natural driving environment.

Evaluation of Naturalistic Driving Behavior Using In-Vehicle Monitoring Technology in Preclinical and Early Alzheimer's Disease.

Cognitive impairment is a significant risk factor for hazardous driving among older drivers with Alzheimer's dementia, but little is known about how the driving behavior of mildly symptomatic compares with those in the preclinical, asymptomatic phase of Alzheimer's disease (AD). This study utilized two in-car technologies to characterize driving behavior in symptomatic and preclinical AD. The goals of this pilot study were to (1) describe unsafe driving behaviors in individuals with symptomatic early AD using G-force triggered video capture and (2) compare the driving habits of these symptomatic AD drivers to two groups of cognitively normal drivers, those with and those without evidence of cerebral amyloidosis (CN/A+ and CN/A-) using a global positioning system (GPS) datalogger. Thirty-three drivers (aged 60+ years) were studied over 3 months. G-force triggered video events captured instances of near-misses/collisions, traffic violations, risky driver conduct, and driving fundamentals. GPS data were sampled every 30 s and all instances of speeding, hard braking, and sudden acceleration were recorded. For the early AD participants, video capture identified driving unbelted, late response, driving too fast for conditions, traffic violations, poor judgment, and not scanning intersections as the most frequently occurring safety errors. When evaluating driving using the GPS datalogger, hard breaking events occurred most frequently on a per trip basis across all three groups. The CN/A+ group had the lowest event rate across all three event types with lower instances of speeding. Slower psychomotor speed (Trail Making Part A) was associated with fewer speeding events, more hard acceleration events, and more overall events. GPS tracked instances of speeding were correlated with total number of video-captured near-collisions/collisions and driving fundamentals. Results demonstrate the utility of electronic monitoring to identify potentially unsafe driving events in symptomatic and preclinical AD. Results suggest that drivers with preclinical AD may compensate for early, subtle cognitive changes by driving more slowly and cautiously than healthy older drivers or those with cognitive impairment. Self-regulatory changes in driving behavior appear to occur in the preclinical phase of AD, but safety concerns may not arise until symptoms of cognitive impairment emerge and the ability to self-monitor declines.