Enhancing Minds in Motion® as a virtual program delivery model for people living with dementia and their care partners.

The Alzheimer Society of Ontario's Minds in Motion (MiM) program improves physical function and well-being of people living with dementia (PLWD) and their care partners (CP) (Regan et al., 2019). With the COVID-19 pandemic, there was an urgent need to transition to a virtual MiM that was similarly safe and effective. The purpose of this mixed methods study is to describe the standardized, virtual MiM and evaluate its acceptability, and impact on quality of life, and physical and cognitive activity of participants. Survey of ad hoc virtual MiM practices and a literature review informed the design of the standardized MiM program: 8 weeks of weekly 90-minute sessions that included 45-minutes of physical activity and 45-minutes of cognitive stimulation in each session. Participants completed a standardized, virtual MiM at one of 6 participating Alzheimer Societies in Ontario, as well as assessments of quality of life, physical and cognitive activity, and program satisfaction pre- and post-program. In all, 111 PLWD and 90 CP participated in the evaluation (average age of 74.6±9.4 years, 61.2% had a college/university degree or greater, 80.6% were married, 48.6% of PLWD and 75.6% of CP were women). No adverse events occurred. MiM participants rated the program highly (average score of 4.5/5). PLWD reported improved quality of life post-MiM (p = <0.01). Altogether, participants reported increased physical activity levels (p = <0.01) and cognitive activity levels (p = <0.01). The virtual MiM program is acceptable, safe, and effective at improving quality of life, cognitive and physical activity levels for PLWD, and cognitive and physical activity levels among CP.

Implementing the National Heart, Lung, and Blood Institute's Strategic Vision in the Division of Cardiovascular Sciences-2022 Update.

Spurred by the 2016 release of the National Heart, Lung, and Blood Institute's Strategic Vision, the Division of Cardiovascular Sciences developed its Strategic Vision Implementation Plan-a blueprint for reigniting the decline in cardiovascular disease (CVD) mortality rates, improving health equity, and accelerating translation of scientific discoveries into better cardiovascular health (CVH). The 6 scientific focus areas of the Strategic Vision Implementation Plan reflect the multifactorial nature of CVD and include (1) addressing social determinants of CVH and health inequities, (2) enhancing resilience, (3) promoting CVH and preventing CVD across the lifespan, (4) eliminating hypertension-related CVD, (5) reducing the burden of heart failure, and (6) preventing vascular dementia. This article presents an update of strategic vision implementation activities within Division of Cardiovascular Sciences. Overarching and cross-cutting themes include training the scientific workforce and engaging the extramural scientific community to stimulate transformative research in cardiovascular sciences. In partnership with other NIH Institutes, Federal agencies, industry, and the extramural research community, Division of Cardiovascular Sciences strategic vision implementation has stimulated development of numerous workshops and research funding opportunities. Strategic Vision Implementation Plan activities highlight innovative intervention modalities, interdisciplinary systems approaches to CVD reduction, a life course framework for CVH promotion and CVD prevention, and multi-pronged research strategies for combatting COVID-19. As new knowledge, technologies, and areas of scientific research emerge, Division of Cardiovascular Sciences will continue its thoughtful approach to strategic vision implementation, remaining poised to seize emerging opportunities and catalyze breakthroughs in cardiovascular sciences.

National Heart, Lung, and Blood Institute: Social Determinants of Health Research, Fiscal Year 2008-2020.

INTRODUCTION: Social determinants of health influence the prevention, treatment, and progression of chronic diseases, including heart, lung, blood, and sleep diseases and conditions. Healthy People 2020 classifies Social Determinants of Health into 5 subcategories: (1) Neighborhood and Built Environment, (2) Education, (3) Economic Stability, (4) Social and Community Context, and (5) Health and Health Care. This study's goal is to characterize the National Heart, Lung, and Blood Institute's Fiscal Year 2008-2020 funding in overall Social Determinants of Health research and in the Healthy People 2020 subcategories. METHODS: The Social Determinants of Health Research, Condition, and Disease Categorization code was used to identify funded grants in this area. Natural language processing methods further categorized grants into the 5 Healthy People 2020 Social Determinants of Health subcategories. RESULTS: There were 915 (∼4.3%) social determinants of health‒funded grants from 2008 to 2020 representing $1,034 billion in direct costs. Most grants were relevant to cardiovascular diseases (n=653), with a smaller number relevant to lung diseases (n=186), blood diseases (n=47), and translational and implementation science (n=29). Grants fit multiple Social Determinants of Health subcategories with the majority identified as Health and Health Care (62%) and Economic Stability (61%). The number of National Heart, Lung, and Blood Institute social determinants of health grants awarded increased by 127% from Fiscal Year 2008 to Fiscal Year 2020. CONCLUSIONS: This study identifies Social Determinants of Health grants funded by the National Heart, Lung, and Blood Institute during 2008‒2020. Enhancing the understanding of these determinants and developing effective interventions will ultimately help to advance the mission of the National Heart, Lung, and Blood Institute.

A model of survival following pre-hospital cardiac arrest based on the Victorian Ambulance Cardiac Arrest Register.

AIMS: This study describes the epidemiology of sudden cardiac arrest patients in Victoria, Australia, as captured via the Victorian Ambulance Cardiac Arrest Register (VACAR). We used the VACAR data to construct a new model of out-of-hospital cardiac arrest (OHCA), which was specified in accordance with observed trends. PATIENTS: All cases of cardiac arrest in Victoria that were attended by Victorian ambulance services during the period of 2002-2005. RESULTS: Overall survival to hospital discharge was 3.8% among 18,827 cases of OHCA. Survival was 15.7% among 1726 bystander witnessed, adult cardiac arrests of presumed cardiac aetiology, presenting in ventricular fibrillation or ventricular tachycardia (VF/VT), where resuscitation was attempted. In multivariate logistic regression analysis, bystander CPR, cardiac arrest (CA) location, response time, age and sex were predictors of VF/VT, which, in turn, was a strong predictor of survival. The same factors that affected VF/VT made an additional contribution to survival. However, for bystander CPR, CA location and response time this additional contribution was limited to VF/VT patients only. There was no detectable association between survival and age younger than 60 years or response time over 15min. CONCLUSION: The new model accounts for relationships among predictors of survival. These relationships indicate that interventions such as reduced response times and bystander CPR act in multiple ways to improve survival.