The Brain Health Diplomat's Toolkit: supporting brain health diplomacy leaders in Latin America and the Caribbean.

Maintaining and improving brain health, one of the most critical global challenges of this century, necessitates innovative, interdisciplinary, and collaborative strategies to address the growing challenges in Latin America and the Caribbean. This paper introduces Brain Health Diplomacy (BHD) as a pioneering approach to bridge disciplinary and geographic boundaries and mobilize resources to promote equitable brain health outcomes in the region. Our framework provides a toolkit for emerging brain health leaders, equipping them with essential concepts and practical resources to apply in their professional work and collaborations. By providing case studies, we highlight the importance of culturally sensitive, region-specific interventions to address unique needs of vulnerable populations. By encouraging dialogue, ideation, and cross-sector discussions, we aspire to develop new research, policy, and programmatic avenues. The novel BHD approach has the potential to revolutionize brain health across the region and beyond, ultimately contributing to a more equitable global cognitive health landscape.

The Tele-STELLA protocol: Telehealth-based support for families living with later-stage Alzheimer's disease.

AIMS: We aim to establish the feasibility and acceptability of the Tele-STELLA (Support via Telehealth: Living and Learning with Advancing Alzheimer's Disease and Related Dementias) intervention. We will also assess the efficacy of the intervention in reducing the frequency of behavioural symptoms of dementia as well as family Care Partner reactivity to the symptoms. DESIGN: This is a multi-component, quasi-experimental study that focuses on facilitating effective management of behavioural symptoms that occur in the later stages of dementia. METHODS: Family Care Partners (n = 124) for persons with Alzheimer's disease will participate in two 8-week videoconferencing components that address behavioural symptoms-in both the persons with Alzheimer's disease and their Care Partners. In the first component ('Nova'), Care Partners work with one nurse for an hour/week for 4 weeks, then they join a small group for another 4 weeks. In the second component ('Constellation'), Care Partners work in a larger group to hone skills and knit supportive relationships. Behavioural symptom frequency and Care Partner reactivity to the behaviours will be measured prior to, during and after the intervention. The study is funded by the United States National Institute on Aging (R01AG067546); funding was initiated as on February, 2021. DISCUSSION: Tele-STELLA fills a gap in current videoconference-based psychoeducational interventions in that it offers real-time interaction with nurses and peers. The intervention was designed with feedback by pilot participants. This study will assess Tele-STELLA in its current, novel format; thus, preparing it for a larger, future randomized controlled trial. IMPACT: Tele-STELLA addresses symptoms that occur in the later stages of dementia, providing families with tools to facilitate effective behavioural management. Because Tele-STELLA is implemented via videoconferencing, it targets Care Partners who face barriers to support, such as cost and transportation. TRIAL REGISTRATION: This trial is registered with ClinicalTrials.gov (#NCT04627662).

The Collaborative Aging Research Using Technology Initiative: An Open, Sharable, Technology-Agnostic Platform for the Research Community.

INTRODUCTION: Future digital health research hinges on methodologies to conduct remote clinical assessments and in-home monitoring. The Collaborative Aging Research Using Technology (CART) initiative was introduced to establish a digital technology research platform that could widely assess activity in the homes of diverse cohorts of older adults and detect meaningful change longitudinally. This paper reports on the built end-to-end design of the CART platform, its functionality, and the resulting research capabilities. METHODS: CART platform development followed a principled design process aiming for scalability, use case flexibility, longevity, and data privacy protection while allowing sharability. The platform, comprising ambient technology, wearables, and other sensors, was deployed in participants' homes to provide continuous, long-term (months to years), and ecologically valid data. Data gathered from CART homes were sent securely to a research server for analysis and future data sharing. RESULTS: The CART system was created, iteratively tested, and deployed to 232 homes representing four diverse cohorts (African American, Latinx, low-income, and predominantly rural-residing veterans) of older adults (n = 301) across the USA. Multiple measurements of wellness such as cognition (e.g., mean daily computer use time = 160-169 min), physical mobility (e.g., mean daily transitions between rooms = 96-155), sleep (e.g., mean nightly sleep duration = 6.3-7.4 h), and level of social engagement (e.g., reports of overnight visitors = 15-45%) were collected across cohorts. CONCLUSION: The CART initiative resulted in a minimally obtrusive digital health-enabled system that met the design principles while allowing for data capture over extended periods and can be widely used by the research community. The ability to monitor and manage health digitally within the homes of older adults is an important alternative to in-person assessments in many research contexts. Further advances will come with wider, shared use of the CART system in additional settings, within different disease contexts, and by diverse research teams.

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data.

An end-to-end suite of technologies has been established for the unobtrusive and continuous monitoring of health and activity changes occurring in the daily life of older adults over extended periods of time. The technology is aggregated into a system that incorporates the principles of being minimally obtrusive, while generating secure, privacy protected, continuous objective data in real-world (home-based) settings for months to years. The system includes passive infrared presence sensors placed throughout the home, door contact sensors installed on exterior doors, connected physiological monitoring devices (such as scales), medication boxes, and wearable actigraphs. Driving sensors are also installed in participants' cars and computer (PC, tablet or smartphone) use is tracked. Data is annotated via frequent online self-report options that provide vital information with regard to the data that is difficult to infer via sensors such as internal states (e.g., pain, mood, loneliness), as well as data referent to activity pattern interpretation (e.g., visitors, rearranged furniture). Algorithms have been developed using the data obtained to identify functional domains key to health or disease activity monitoring, including mobility (e.g., room transitions, steps, gait speed), physiologic function (e.g., weight, body mass index, pulse), sleep behaviors (e.g., sleep time, trips to the bathroom at night), medication adherence (e.g., missed doses), social engagement (e.g., time spent out of home, time couples spend together), and cognitive function (e.g., time on computer, mouse movements, characteristics of online form completion, driving ability). Change detection of these functions provides a sensitive marker for the application in health surveillance of acute illnesses (e.g., viral epidemic) to the early detection of prodromal dementia syndromes. The system is particularly suitable for monitoring the efficacy of clinical interventions in natural history studies of geriatric syndromes and in clinical trials.