The Survey for Memory, Attention, and Reaction Time (SMART): Development and Validation of a Brief Web-Based Measure of Cognition for Older Adults.

INTRODUCTION: Brief, Web-based, and self-administered cognitive assessments hold promise for early detection of cognitive decline in individuals at risk for dementia. The current study describes the design, implementation, and convergent validity of a fWeb-based cognitive assessment tool, the Survey for Memory, Attention, and Reaction Time (SMART), for older adults. METHODS: A community-dwelling sample of older adults (n = 69) was included, classified as cognitively intact (n = 44) or diagnosed with mild cognitive impairment (MCI, n = 25). Participants completed the SMART at home using their computer, tablet, or other Internet-connected device. The SMART consists of 4 face-valid cognitive tasks available in the public domain assessing visual memory, attention/processing speed, and executive functioning. Participants also completed a battery of standardized neuropsychological tests, a cognitive screener, and a daily function questionnaire. Primary SMART outcome measures consisted of subtest completion time (CT); secondary meta-metrics included outcomes indirectly assessed or calculated within the SMART (e.g., click count, total CT, time to complete practice items, and time of day the test was completed). RESULTS: Regarding validity, total SMART CT, which includes time to complete test items, practice items, and directions, had the strongest relationship with global cognition (ß = -0.47, p < 0.01). Test item CT was significantly greater for the MCI group (F = 5.20, p = 0.026). Of the SMART tasks, the executive functioning subtests had the strongest relationship with cognitive status as compared to the attention/processing speed and visual memory subtests. The primary outcome measures demonstrated fair to excellent test-retest reliability (intraclass correlation coefficient = 0.50-0.76). CONCLUSIONS: This study provides preliminary evidence for the use of the SMART protocol as a feasible, reliable, and valid assessment method to monitor cognitive performance in cognitively intact and MCI older adults.

Technology and Dementia: The Future is Now.

BACKGROUND: Technology has multiple potential applications to dementia from diagnosis and assessment to care delivery and supporting ageing in place. OBJECTIVES: To summarise key areas of technology development in dementia and identify future directions and implications. METHOD: Members of the US Alzheimer's Association Technology Professional Interest Area involved in delivering the annual pre-conference summarised existing knowledge on current and future technology developments in dementia. RESULTS: The main domains of technology development are as follows: (i) diagnosis, assessment and monitoring, (ii) maintenance of functioning, (iii) leisure and activity, (iv) caregiving and management. CONCLUSIONS: The pace of technology development requires urgent policy, funding and practice change, away from a narrow medical approach, to a holistic model that facilitates future risk reduction and prevention strategies, enables earlier detection and supports implementation at scale for a meaningful and fulfilling life with dementia.

Ability and Willingness to Participate in Dementia Clinical Research: A Qualitative Study.

BACKGROUND AND OBJECTIVE: Dementia clinical research studies have difficulty recruiting and enrolling participants and their study partners. Through convening and working with a community advisory board and the incorporation of the perspectives of people living with dementia and caregivers, this study utilized a community-engaged approach to identify factors affecting dementia clinical research participation. METHODS: In this qualitative study, 24 participants (12 people living with dementia and 12 caregivers), half of whom participated in dementia clinical research, were interviewed. Deductive and inductive approaches to thematic analysis were conducted to identify themes. RESULTS: Ten themes were organized into two categories. Factors affecting ability to participate include symptom recognition and diagnosis, knowledge of opportunities, ineligibility/disenrollment, time/distance, caregiver burden, and online searches for study opportunities. Factors affecting willingness to participate include helping others, living life to the fullest, caregiver support, and taking study drugs. CONCLUSIONS: When combined with a reframing of factors affecting dementia clinical research enrollment within the context of ability and willingness to participate, these findings may be useful for elucidating factors and developing strategies to enhance participation in clinical research and advance efforts dedicated to finding effective treatments for dementia.

Caregiving in Older Adults; Experiences and Attitudes toward Smart Technologies.

(1) Background: The development of assistive technologies has become a key solution to reduce caregiver burden. The objective of this study was to survey caregivers on perceptions and beliefs about the future of modern technology in caregiving. (2) Methods: Demographics and clinical caregiver characteristics were collected via an online survey along with the perceptions and willingness to adopt technologies to support caregiving. Comparisons were made between those who considered themselves caregivers and those who never did. (3) Results: 398 responses (mean age 65) were analyzed. Health and caregiving status of the respondents (e.g., schedule of care) and of the care recipient were described. The perceptions and willingness to use technologies were generally positive without significant differences between those who ever considered themselves as caregivers and those who never did. The most valued features were the monitoring of falls (81%), medication use (78%), and changes in physical functioning (73%). For caregiving support, the greatest endorsements were reported for one-on-one options with similar scores for both online and in-person alternatives. Important concerns were expressed about privacy, obtrusiveness, and technological maturity. (4) Conclusions: Online surveys as a source of health information on caregiving may be an effective guide in developing care-assisting technologies receiving end users' feedback. Caregiver experience, whether positive or negative, was correlated to health habits such as alcohol use or sleep. This study provides insight on caregivers' needs and perceptions regarding caregiving according to their socio-demographic and health status.

WeCareAdvisor, an Online Platform to Help Family Caregivers Manage Dementia-Related Behavioral Symptoms: an Efficacy Trial in the Time of COVID-19.

Dementia-related behavioral and psychology symptoms (BPSD) are undertreated and have negative consequences. However, families do not have access to disease information, tailored problem-solving  and effective management strategies, and with COVID-19, are more socially isolated and distressed. To address this dementia care gap, we describe a Phase III efficacy trial testing an online platform, WeCareAdvisor, and design modifications necessitated by COVID-19. WeCareAdvisor provides caregivers with disease information, daily tips, and a systematic approach for describing behaviors, investigating underlying causes, creating tailored strategies, and evaluating their effectiveness (DICE). The trial will enroll 326 caregivers nationwide, randomly assign them to immediately receive WeCareAdvisor (treatment), or a 3-month waitlist (control) and evaluate short (1- and 3-month) and long-term (6-month) outcomes for caregiver distress with and confidence managing BPSD, and BPSD occurrences. We will also evaluate utilization patterns with different prompting conditions: high-intensity (telephone and email reminders), low-intensity (email reminders), or no reminders to use WeCareAdvisor. COVID-19 necessitated design modifications resulting in greater inclusivity of caregivers from diverse races, ethnicities, and geographic areas. Key modifications include shifting from in-home, in-person interviewing to telephone; adjusting tool functionality from operating on a grant-funded iPad to caregivers' personal internet-capable devices; and expanding recruitment from one metropolitan area to nationwide. Study modifications necessitated by COVID-19 facilitate national outreach, easier tool adoption, and enable more diverse caregivers to participate. This study addresses a critical dementia care need, and design modifications may shorten timeline from efficacy testing to commercialization.

Evaluation of Shared Experiences Among Patients and Providers Following Behavioral Health Integration in Primary Care.

Behavioral health integration (BHI) changes the paradigm of primary care delivery by integrating behavioral healthcare into primary care. Thus, BHI likely alters the shared experiences of both patients and providers in an interrelated manner; however, their experiences are usually evaluated separately. The purpose of this study was to analyze these shared experiences together within patient-provider pairs in integrated clinics. First, patient interviews were conducted using semi-structured interview guides and transcripts were analyzed for major themes of patient experience. Next, providers named in patient interviews were interviewed around these same themes. Thematic analysis was performed on 18 transcripts (11 patients, 7 providers). Common themes included BHI experience, pain management, feeling heard by providers, and health care experiences. Areas of alignment included positive perception of BHI, an absence of long-term care, and a desire to share decision-making. Pain management was a persistent area of conflict, and the differing experiences were consistent with a change in the psychodynamic patient-provider model. This conflict highlights a gap in BHI and a need for provider education about psychodynamic relationship models.

Using Geographic Information Systems (GIS) for Targeted National Recruitment of Community-Dwelling Caregivers Managing Dementia-Related Behavioral and Psychological Symptoms: A Recruitment Approach for a Randomized Clinical Trial.

Over 16 million caregivers of people living with dementia require support in a range of issues, including self-care, disease education, and guidance for how to manage behavioral and psychological symptoms of dementia (BPSD). Non-pharmacological interventions are needed to address these areas, and online applications have been shown to be safe and effective. To ensure the efficacy of such interventions, racially, ethnically, geographically, and socioeconomically diverse participants must be recruited to increase the generalizability of study outcomes. This protocol paper describes a recruitment plan using Geographic Information Systems (GIS) to reach a representative sample of caregivers across the United States for a national Phase III clinical study. Using publicly available census data from the American Community Survey (ACS), combined with location data for local aging resources such as Area Agencies on Aging (AAA), recruitment will be derived from data analysis conducted in ESRI ArcGIS v10.7.1. Datasets including age, gender, income, and education will be assessed nationally at the county and census tract spatial scale in a nine-step process to develop recruitment priority areas containing high concentrations of eligible participants living in the community. Overall, the current protocol will demonstrate the value of GIS in tailoring targeted outreach strategies to recruit community-dwelling populations through local resource institutions. This novel approach may have far-reaching implications in future recruitment initiatives and help to secure racially/ethnically diverse samples.

Behavioral Health Integration and Outcomes that Matter to Patients: a Longitudinal Mixed-Methods Observational Study.

Research on behavioral health integration (BHI) often explores outcomes for quality and cost, but less is known about impacts of integration work on key patient experience outcomes. A mixed-methods longitudinal study of BHI was conducted in 12 primary care clinics in Oregon to assess how adoption of key integration practices including integrated staffing models, integrated care trainings for providers, and integrated data sharing impacted a set of patient experience outcomes selected and prioritized by an advisory panel of active patients. Results showed that adopting key aspects of integration was not associated with improved patient experience outcomes over time. Patient interviews highlighted several potential reasons why, including an overemphasis by health systems on the structural aspects of integration versus the experiential components and potential concerns among patients about stigma and discrimination in the primary care settings where integration is focused.

Feasibility of In-Home Sensor Monitoring to Detect Mild Cognitive Impairment in Aging Military Veterans: Prospective Observational Study.

BACKGROUND: Aging military veterans are an important and growing population who are at an elevated risk for developing mild cognitive impairment (MCI) and Alzheimer dementia, which emerge insidiously and progress gradually. Traditional clinic-based assessments are administered infrequently, making these visits less ideal to capture the earliest signals of cognitive and daily functioning decline in older adults. OBJECTIVE: This study aimed to evaluate the feasibility of a novel ecologically valid assessment approach that integrates passive in-home and mobile technologies to assess instrumental activities of daily living (IADLs) that are not well captured by clinic-based assessment methods in an aging military veteran sample. METHODS: Participants included 30 community-dwelling military veterans, classified as healthy controls (mean age 72.8, SD 4.9 years; n=15) or MCI (mean age 74.3, SD 6.0 years; n=15) using the Clinical Dementia Rating Scale. Participants were in relatively good health (mean modified Cumulative Illness Rating Scale score 23.1, SD 2.9) without evidence of depression (mean Geriatrics Depression Scale score 1.3, SD 1.6) or anxiety (mean generalized anxiety disorder questionnaire 1.3, SD 1.3) on self-report measures. Participants were clinically assessed at baseline and 12 months later with health and daily function questionnaires and neuropsychological testing. Daily computer use, medication taking, and physical activity and sleep data were collected via passive computer monitoring software, an instrumented pillbox, and a fitness tracker watch in participants' environments for 12 months between clinical study visits. RESULTS: Enrollment began in October 2018 and continued until the study groups were filled in January 2019. A total of 201 people called to participate following public posting and focused mailings. Most common exclusionary criteria included nonveteran status 11.4% (23/201), living too far from the study site 9.4% (19/201), and having exclusionary health concerns 17.9% (36/201). Five people have withdrawn from the study: 2 with unanticipated health conditions, 2 living in a vacation home for more than half of the year, and 1 who saw no direct benefit from the research study. At baseline, MCI participants had lower Montreal Cognitive Assessment (P<.001) and higher Functional Activities Questionnaire (P=.04) scores than healthy controls. Over seven months, research personnel visited participants' homes a total of 73 times for technology maintenance. Technology maintenance visits were more prevalent for MCI participants (P=.04) than healthy controls. CONCLUSIONS: Installation and longitudinal deployment of a passive in-home IADL monitoring platform with an older adult military veteran sample was feasible. Knowledge gained from this pilot study will be used to help develop acceptable and effective home-based assessment tools that can be used to passively monitor cognition and daily functioning in older adult samples.

Strategies for Addressing the Challenges of Patient-Centered Medical Home Implementation: Lessons from Oregon.

BACKGROUND: Patient-centered medical homes (PCMHs) are at the forefront of the transformation of primary care as part of health systems reform. Despite robust literature describing implementation challenges, few studies describe strategies being used to overcome these challenges. This article addresses this gap through observations of exemplary PCMHs in Oregon, where the Oregon Health Authority supports and recognizes Patient-Centered Primary Care Homes (PCPCH). METHODS: Twenty exemplary PCPCHs were selected using program scores, with considerations for diversity in clinic characteristics. Between 2015 and 2016, semistructured interviews and focus groups were completed with 85 key informants. RESULTS: Clinics reported similar challenges implementing the PCPCH model, including shifting patterns of care use, fidelity to the PCPCH model, and refining care processes. The following ten implementation strategies emerged: expanding access through care teams, preventing unnecessary emergency department visits through patient outreach, improved communication and referral tracking with outside providers, prioritization of selected program metrics, implementing patient-centered practices, developing continuous improvement capacity through committees and "champions," incorporating preventive services and chronic disease management, standardization of workflows, customizing electronic health records, and integration of mental health. CONCLUSION: Clinic leaders benefited from understanding the local context in which they were operating. Despite differences in size, ownership, geography, and population, all clinic leaders were observed to be proponents of strategies commonly associated with a "learning organization": systems thinking, personal mastery, mental models, shared vision, and team. Clinics can draw on their own characteristics, use state resources, and look to established PCMHs to build the evidence base for implementation in primary care.