Preferences of NIA Alzheimer's Disease Research Center participants regarding remote assessment during the COVID-19 pandemic.

Introduction: During the COVID-19 pandemic, in-person research study visits were moved to an online format using a variety of communication platforms (e.g., Webex and Zoom). Increased technology use among older adults allowed for greater insight regarding the remote research study visit format. Methods: A survey developed by the National Alzheimer's Coordinating Center (NACC) was distributed among 12 Alzheimer's Disease Research Centers (ADRCs). The COVID-19 Technology Accessibility Survey aimed to understand preferences of older adults regarding their research study visits and how they accessed the internet. Results: Among 12 ADRCs, 2070 responses were received (mean age: 72.8 years [standard deviation (SD) = 10.4], mean education: 16.6 years [SD = 2.6], race/ethnicity: 85% White/non-Hispanic). Among respondents, those with some form of cognitive impairment were more likely to prefer remote research study visits (mild cognitive impairment [MCI] vs. normal [odds ratio (OR) = 1.40, P = 0.02] and dementia vs. normal [OR = 1.48, P < 0.01]). Respondents with cognitive impairment were also less likely to have interest in smartphone use during at-home study visits (MCI vs. normal [OR = 0.71, P = 0.02] and dementia vs. normal [OR = 0.63, P < 0.001]). Results were similar regarding tablet use (MCI vs. normal [OR = 0.73, P = 0.04] and dementia vs. normal [OR = 0.72, P = 0.01]). Geographical location was analyzed in terms of the percentage of respondents in each region who preferred remote research study visits: West, 51%; Midwest, 34%; South, 41%; and Northeast, 57% (P < 0.0001). Discussion: Results from the study suggest that there is a growing interest in the remote research study visit format. Further studies will allow for greater understanding and development of this research format.

Mood and activity changes during the COVID-19 pandemic in rural and urban Veterans and their cohabitants.

OBJECTIVES: We aimed to examine the impact of COVID-19 pandemic-related stay-at-home orders on weekly reports of mood and activity before and during COVID-19 in a sample of older Veterans and their cohabitants. METHODS: Urban and rural Veterans and their cohabitants living in the Pacific Northwest ≥62 years old were enrolled as part of the Collaborative Aging Research Using Technology initiative (n = 100, age = 71.2 ± 6.5, 41% women). Participants reported frequency of social activities (e.g., travel away), physical illness, and mood (blue mood and loneliness) via weekly online health forms. RESULTS: A total of 2,441 weekly online health forms (OHFs) were collected from 100 participants. During the COVID-19 pandemic, blue mood (OR = 4.4, p < .0001) and loneliness (OR = 7.2, p < .0001) were significantly higher than before the pandemic, and travel away from home was significantly lower (OR = 0.5, p < .0001). Prevalence of blue mood and loneliness were not associated with rurality. CONCLUSIONS: The current study established that blue mood and loneliness were significantly more prevalent in older Veterans following COVID-19 stay-at-home orders regardless of rurality. CLINICAL IMPLICATIONS: The COVID-19 pandemic associated health precautions, while necessary to curb acute health risks, have created a unique situation that places vulnerable populations at increased risk of low mood.

Impact of potential modifications to Alzheimer's disease clinical trials in response to disruption by COVID-19: a simulation study.

BACKGROUND: The COVID-19 pandemic disrupted Alzheimer disease randomized clinical trials (RCTs), forcing investigators to make changes in the conduct of such trials while endeavoring to maintain their validity. Changing ongoing RCTs carries risks for biases and threats to validity. To understand the impact of exigent modifications due to COVID-19, we examined several scenarios in symptomatic and disease modification trials that could be made. METHODS: We identified both symptomatic and disease modification Alzheimer disease RCTs as exemplars of those that would be affected by the pandemic and considered the types of changes that sponsors could make to each. We modeled three scenarios for each of the types of trials using existing datasets, adjusting enrollment, follow-ups, and dropouts to examine the potential effects COVID-19-related changes. Simulations were performed that accounted for completion and dropout patterns using linear mixed effects models, modeling time as continuous and categorical. The statistical power of the scenarios was determined. RESULTS: Truncating both symptomatic and disease modification trials led to underpowered trials. By contrast, adapting the trials by extending the treatment period, temporarily stopping treatment, delaying outcomes assessments, and performing remote assessment allowed for increased statistical power nearly to the level originally planned. DISCUSSION: These analyses support the idea that disrupted trials under common scenarios are better continued and extended even in the face of dropouts, treatment disruptions, missing outcomes, and other exigencies and that adaptations can be made that maintain the trials' validity. We suggest some adaptive methods to do this noting that some changes become under-powered to detect the original effect sizes and expected outcomes. These analyses provide insight to better plan trials that are resilient to unexpected changes to the medical, social, and political milieu.

Remote Assessment Preferences of NIA Alzheimer’s Disease Research Center Participants During COVID-19 Pandemic

Background In a progressively technology-infused world, older adults are becoming accustomed to the digitization of research participation. During the COVID-19 pandemic, it became necessary to conduct remote study visits typically carried out over the telephone or using video calling programs (e.g. Zoom). Methods The National Alzheimer’s Coordinating Center developed a COVID-19 Technology Accessibility Survey to determine preferred types of study visits for study participants and to understand how this older population accesses the internet. Results Seven Alzheimer Disease Research Centers collected 1282 survey responses (mean age: ±71.8 years, mean education: 16.5±2.5 years, race/ethnicity: 86% White/non-Hispanic). In respondents aged 65-80, internet access was endorsed by 73% regarding smartphones, 61% for laptops, and 46% for tablets. Interest in wearable devices was expressed by 21% of respondents and interest in smart homes by 6%. Study visit preference among this age group was 42% in favor of in-person, 25% via phone, and 33% via video. In respondents aged >80 internet access was endorsed by 47% regarding smartphones, 47% for laptops, and 34% for tablets. Interest in wearable devices was expressed by 9% of respondents and interest in smart homes by 3%. Study visit preference among this age group was 38% in favor of in-person, 34% via phone, and 29% via video. Discussion In light of the COVID-19 pandemic, the survey suggests many study participants are interested in remote visits. Significant age group differences are present regarding internet access. Further studies are required to increase the understanding of the efficacy of this research visit format.

Financial Impacts of the COVID-19 Pandemic on U.S. Older Adults: Assessing Pandemic-induced Job and Income Loss

The COVID-19 pandemic has greatly impacted the economic security of millions of older adults. Job loss and reductions in personal income were significant in 2020 stemming from pandemic-induced shutdowns that temporarily closed large swaths of the U.S. economy. Yet, the specific financial impacts of the pandemic on older adults, including family care partners, are not well understood. To understand the COVID-19 pandemic’s effects on the health and financial well-being of older adults, we gathered data from the Research via Internet of Technology and Experience (RITE) Study, a longitudinal survey panel providing data from thousands of participants of various ages and backgrounds in the U.S. on their use of healthcare and technology (N=1,365). We measured by population strata including age, sex, and education and other characteristics including caregiver status. Adults between 20-40 years of age experienced the highest rate of job loss and reduction in wages (33%) as a result of the pandemic, while adults aged >70 years experienced the lowest rate (12.5%). However, adults aged 50-60 and 60-70 also experienced relatively high levels of job loss at (28.4% and 25.7%, respectively). Behavior changes and disruptions to typical routines to avoid COVID-19 infections may have contributed to job and personal income loss amongst Individuals aged 50-60 and 60-70. However, these findings suggest potentially high levels of economic insecurity amongst individuals who continue to work into late-life. These results may help policymakers understand how to better tailor interventions and policies to mitigate economic insecurity, particularly for populations disproportionately impacted by the pandemic.

Type and frequency of social contacts associated with low mood before and during the COVID-19 pandemic in older adults: I-CONECT project.

BACKGROUND: Social isolation is a risk factor for dementia, but the underlying mechanism is not well understood. It is possible that lack of social contacts negatively affects emotional well-being, which leads to cognitive decline. To shed light on this potential mediation mechanism, we examined changes in type and frequency of social contacts and their effects on mood using data collected before and during the COVID-19 pandemic among socially isolated older adults aged 75 and older. METHOD: The data come from an ongoing randomized controlled trial, the Internet-Based Conversational Engagement Clinical Trial (I-CONECT, ClinicalTirals.gov: NCT02871921). One hundred forty-six participants (age=81.0±4.5, 71.9% women) who were in the trial both before and during the pandemic and whose data were available as of November of 2020 were included in the current analysis. Weekly health questionnaires administered on all participants regardless of treatment assignments were collected before and during the COVID-19 pandemic. Low mood ("Blueness") was self-reported as feeling downhearted or blue for three or more days in the past week (YES/NO). Social contacts were self-reported by amount of time they had interacted, with whom (family; friends; others), and via which modalities (in-person; phone/video call; text/email). RESULT: A total of 4,774 weeks of survey data were analyzed (3,047 before COVID 19). The weekly average time spent in-person, on phone/video call, and via text/email were 282, 113, and 44 minutes, respectively. During the COVID-19 pandemic, participants on average spent 82 minutes less in total social contact per week (in-person: reduced 123 minutes, video/call: increased 28 minutes, text/email: increased 13 minutes per week). Generalized estimating equation model revealed that in-person family contact was associated with less blueness regardless of the pandemic (OR=0.91, p=0.04). There was a COVID*text/email time with friends interaction (OR=0.68, p=0.03), suggesting that during the COVID-19 pandemic, an increase of 1 hour of texting/emailing with friends per week was associated with 32% decrease in experiencing blueness three or more days per week. CONCLUSION: In-person family time is beneficial for mental health. While in-person contacts become less frequent during the COVID-19 pandemic, increased text/email time with friends becomes an alternative to maintain mental health for socially isolated older adults.

Utility and usability of brief, remote, and self-administered cognitive assessment for older adults with intact cognition and mild cognitive impairment: A novel approach to increase access during the COVID-19 pandemic

Background Given the COVID-19 pandemic and necessary restrictions on older adults? in-person clinical and research exposure, there is an urgent need for validated cognitive measures that can be self-administered remotely in the home to expand the reach of cognitive assessment. The current presentation describes the implementation, validity, and usability of the Survey for Memory, Attention, and Reaction Time (SMART) assessment protocol that has been deployed in longitudinal cohort studies of older adults for over two years. Method Participants were 69 older adults classified as cognitively intact (n=44) or mild cognitive impairment (MCI;n=25). The SMART was sent to participants via email once per month. Participants completed SMART using their computer (n=55), tablet (n=10), or smart phone (n=4). The SMART consists of four face-valid cognitive tasks available in the public domain assessing visual memory, attention, processing speed, and executive functioning. Participants also completed a neuropsychological battery and self- and informant-rated measures of everyday cognition. Primary SMART outcomes consisted of subtest completion time;secondary meta-metrics included outcomes indirectly calculated within the SMART (e.g., click count, total completion time). Analyses were based on initial SMART administration. Result Stepwise logistic regression analyses indicated that the SMART executive functioning subtasks (Trails B Completion Time (p=.05) and Stroop Click Count (p=.02)) were the strongest predictors of cognitive status (MCI vs. cognitively intact). Longer Total Completion Time (i.e., worse performance) on the SMART was correlated with reduced global cognition and lower self- and informant-rated perceptions of everyday cognition (p<.05). The SMART was rated as highly usable (M=21.8 out of 25), with no difference in MCI and cognitively intact group scores. Over a three-month period, 87% of participants completed the SMART within the first three days of receiving it, with 100% completion following a reminder call. Conclusion This study provides preliminary support for remote, self-administered cognitive assessment of cognitively intact and MCI older adults using the SMART. Given the prevalence of executive functioning deficits among non-amnestic MCI presentations, the SMART may prove particularly valuable for increasing access to cognitive assessment for diverse, heterogenous older adults with increased vascular risk factors, medical comorbidities, and health disparities.

Can changes in social contact (frequency and mode) mitigate low mood before and during the COVID-19 pandemic? The I-CONECT project.

BACKGROUND/OBJECTIVES: The coronavirus disease 2019 (COVID-19) global outbreak allowed a natural experiment to observe how older adults changed social patterns and how it affected their emotional well-being. We studied the frequency and modes of social contact and their effects on older adults' mood before and during the COVID-19 pandemic. DESIGN: Phone-based surveys were administered weekly before and during the COVID-19 pandemic. SETTING: Participants were recruited from Portland, Oregon, and Detroit, Michigan. PARTICIPANTS: Older adults ≥75 years old (n = 155, age = 81.0 ± 4.5, 72.3% women) were included in a randomized controlled trial, the Internet-Based Conversational Engagement Clinical Trial (I-CONECT). MEASUREMENTS: Low mood was self-reported as feeling downhearted or blue for three or more days in the past week. Social contact was self-reported by the amount of time spent in interactions, with whom (family, friends, others), and via which modes (in-person, phone/video call, text/email/letter). RESULTS: A total of 5525 weeks of data were derived from 155 participants. Before the COVID-19 pandemic, average social interaction time spent in-person, on phone/video call, and via text/email/letter was 406, 141, and 68 min/week, respectively. During the COVID-19 pandemic, time spent in-person was reduced by 135 min/week, while time spent via phone/video call and writing increased by 33 and 26 mins/week, respectively. In-person family contact was associated with less low mood regardless of the pandemic (odds ratio = 0.92, p < 0.05). There was a COVID-19 × text/email/letter with friends interaction (odds ratio = 0.77, p = 0.03), suggesting that during the COVID-19 pandemic, an increase of 1 h of writing with friends per week was associated with a 23% decrease in the likelihood of experiencing low mood. CONCLUSION: The lost in-person time relating to COVID-19 restrictions tended to be partially compensated for with increased calls and writing time, although overall social interaction time decreased. During the COVID-19 pandemic, at least two types of social interactions (writing to friends and in-person family time) showed promise for mitigating low mood for older adults with limited social resources.

The Internet-Based Conversational Engagement Clinical Trial (I-CONECT) in Socially Isolated Adults 75+ Years Old: Randomized Controlled Trial Protocol and COVID-19 Related Study Modifications.

Background: Increasing social interactions through communication technologies could offer a cost-effective prevention approach that slows cognitive decline and delays the onset of Alzheimer's disease. This paper describes the protocol of an active project named "Internet-based conversational engagement clinical trial (I-CONECT)" (ClinicalTrials.gov: NCT02871921). The COVID-19 pandemic related protocol modifications are also addressed in the current paper. Methods: I-CONECT is a multi-site, assessor-blind, randomized controlled behavioral intervention trial (RCT). We aim to randomize 320 socially isolated adults 75+ years old [160 Caucasian and 160 African American participants, 50:50 split between those with normal cognition and mild cognitive impairment (MCI)] recruited from the community to either the video chat intervention group or the control group (1:1 allocation). Those in the video chat group receive a computer and Internet service for the duration of the study, which they use to video chat with study staff for 30 min/day 4×/week for 6 months (high dose), and then 2×/week for an additional 6 months (maintenance dose). Both video chat and control groups have a brief (about 10 min) telephone check-in with study staff once per week. The primary outcome is the change in global cognitive function measured by Montreal Cognitive Assessment (MoCA) from baseline to 6 months. Secondary outcomes include changes in cognition in memory and executive function domains, emotional well-being measured by NIH Toolbox emotional battery, and daily functional abilities assessed with the Revised Observed Tasks of Daily Living (OTDL-R). Eligible participants have MRIs at baseline and 6 months. Participants contribute saliva for genetic testing (optional consent), and all video chats, weekly check-in calls and neuropsychological assessment sessions are recorded for speech and language analysis. The pandemic halted research activities and resulted in protocol modifications, including replacing in-person assessment with remote assessment, remote deployment of study equipment, and revised targeted sample size. Discussion: This trial provides user-friendly hardware for the conversational-based intervention that can be easily provided at participants' homes. The trial aspires to use age and culture-specific conversational materials and a related platform developed in this trial for enhancing cognitive reserve and improving cognitive function.

Older Adults' Daily Activity and Mood Changes Detected During the COVID-19 Pandemic Using Remote Unobtrusive Monitoring Technologies.

BACKGROUND AND OBJECTIVES: The coronavirus disease 2019 (COVID-19) pandemic has limited older adults' access to in-person medical care, including screenings for cognitive and functional decline. Remote, technology-based tools have shown recent promise in assessing changes in older adults' daily activities and mood, which may serve as indicators of underlying health-related changes (e.g., cognitive decline). This study examined changes in older adults' driving, computer use, mood, and travel events prior to and following the COVID-19 emergency declaration using unobtrusive monitoring technologies and remote online surveys. As an exploratory aim, the impact of mild cognitive impairment (MCI) on these changes was assessed. RESEARCH DESIGN AND METHODS: Participants were 59 older adults (41 cognitively intact and 18 MCI) enrolled in a longitudinal aging study. Participants had their driving and computer use behaviors recorded over a 5-month period (75 days pre- and 76 days post-COVID emergency declaration) using unobtrusive technologies. Measures of mood, overnight guests, and frequency of overnight travel were also collected weekly via remote online survey. RESULTS: After adjusting for age, gender, and education, participants showed a significant decrease in daily driving distance, number of driving trips, highway driving, and nighttime driving, post-COVID-19 as compared to pre-COVID-19 (p < .001) based on generalized estimating equation models. Further, participants spent more time on the computer per day post-COVID-19 (p = .03). Participants endorsed increases in blue mood (p < .01) and loneliness (p < .001) and decreases in travel away from home and overnight visitors (p < .001) from pre- to post-COVID-19. Cognitive status did not impact these relationships. DISCUSSION AND IMPLICATIONS: From pre- to post-COVID-19 emergency declaration, participants drove and traveled less, used their computer more, had fewer overnight visitors, and reported greater psychological distress. These results highlight the behavioral and psychological effects of stay-at-home orders on older adults who are cognitively intact and those with MCI.

When Going Digital Becomes a Necessity: Ensuring Older Adults' Needs for Information, Services, and Social Inclusion During COVID-19.

Older adults are in triple jeopardy during COVID-19: compared with younger people, older adults are (1) more likely to develop serious conditions and experience higher mortality; (2) less likely to obtain high quality information or services online; and (3) more likely to experience social isolation and loneliness. Hybrid solutions, coupling online and offline strategies, are invaluable in ensuring the inclusion of vulnerable populations. Most of these solutions require no new inventions. Finding the financial resources for a rapid, well-coordinated implementation is the biggest challenge. Setting up the requisite support systems and digital infrastructure is important for the present and future pandemics.