BACKGROUND: Assisted living (AL) is an increasingly common residential setting for persons with dementia; yet concerns exist about sub-optimal care of this population in AL given its lower levels of staffing and services. Our objectives were to (i) examine associations between AL setting (dementia care vs. other), COVID-19 pandemic waves, and prevalent antipsychotic, antidepressant, anti-dementia, benzodiazepine, and anticonvulsant drug use among residents with dementia/cognitive impairment, and (ii) explore associations between resident and home characteristics and prevalent medication use.
METHODS: We conducted a population-based, repeated cross-sectional study using linked clinical and health administrative databases for all publicly funded AL homes in Alberta, Canada, examined between January 2018 - December 2021. The quarterly proportion of residents dispensed a study medication was examined for each setting and period (pandemic vs. comparable historical [2018/2019 combined]) focusing on four pandemic waves (March-May 2020, September 2020-February 2021, March-May 2021, September-December 2021). Log-binomial GEE models estimated prevalence ratios (PR) for period (pandemic vs. historical periods), setting (dementia care vs. other) and period-setting interactions, adjusting for resident (age, sex) and home (COVID-19 cases, health region, ownership) characteristics.
RESULTS: On March 1, 2020, there were 2,779 dementia care and 3,013 other AL residents (mean age 83, 69% female) with dementia/cognitive impairment. Antipsychotic use increased during waves 2-4 in both settings, but this was more pronounced in dementia care than other AL during waves 3 and 4 (e.g., adjusted [adj]PR 1.20, 95% CI 1.14-1.27 vs. adjPR 1.09, 95% CI 1.02-1.17, interaction p = 0.023, wave 3). Both settings showed a statistically significant but modest increase in antidepressant use and decrease in benzodiazepine use. For dementia care AL residents only, there was a statistically significant increase in gabapentinoid use during several waves (e.g., adjPR 1.32, 95% CI 1.10-1.59, wave 3). Other than a modest decrease in prevalent anti-dementia drug use for both settings in wave 2, no other significant pandemic effects were observed.
CONCLUSIONS: The persistence of the pandemic-associated increase in antipsychotic and antidepressant use in AL residents coupled with a greater increase in antipsychotic and gabapentinoid use for dementia care settings raises concerns about the attendant risks for residents with cognitive impairment.

Digital health has added numerous promising solutions to enhance the health and wellness of people with neurocognitive disorders (NCDs) and their informal caregivers. (1) Background: It is important to obtain a comprehensive view of currently available technologies, their outcomes, and conditions of success to inform recommendations regarding digital health solutions for people with NCDs and their caregivers. This environmental scan was performed to identify the features of existing digital health solutions relevant to the targeted population. This work reviews currently available digital health solutions and their related characteristics to develop a decision support tool for older adults living with mild or major neurocognitive disorders and their informal caregivers. This knowledge will aid the development of a decision support tool to assist older adults and their informal caregivers in their search for adequate digital health solutions according to their needs and preferences based on trustable information. (2) Methods: We conducted an environmental scan to identify digital health solutions from a systematic review and targeted searches in the grey literature covering the regions of Canada and Europe. Technological tools were scanned based on a preformatted extraction grid. We assessed their relevance based on selected attributes and summarized the findings. (3) Results: We identified 100 available digital health solutions. The majority (56%) were not specific to NCDs. Only 28% provided scientific evidence of their effectiveness. Remote patient care, movement tracking, and cognitive exercises were the most common purposes of digital health solutions. Most solutions were presented as decision aid tools, pill dispensers, apps, web, or a combination of these platforms. (4) Conclusions: This environmental scan allowed for identifying current digital health solutions for older adults with mild or major neurocognitive disorders and their informal caregivers. Findings from the environmental scan highlight the need for additional approaches to strengthen digital health interventions for the well-being of older adults with mild and major NCDs and their informal and formal healthcare providers.

In the face of escalating non-fatal fall-related expenses and an aging population, innovative solutions in assisted living facilities (ALFs) are imperative. This study evaluates the implementation of a remote-surveillance technology (AUGi) across three diverse ALFs, emphasizing its impact on falls and falls with injury across sites. Utilizing comprehensive data collection, AUGi facilitated an average reduction of 64% in falls (p < 0.01) and falls with injury (p = 0.05), a statistically and clinically significant difference. The technology\'s success in enhancing nurse surveillance, providing prompt notifications, and reducing falls underscores its potential to transform ALF care dynamics. This pioneering approach not only fosters better staff-patient interactions but also provides a foundation for future advancements in clinical decision support systems, offering hope for mitigating falls in ALFs.

BACKGROUND: Poor quality of care and patient safety, adverse patient outcomes, high rates of burnout and turnover, and increased job dissatisfaction are all linked to uncontrolled stress among nurses. Unmanaged nurse stress can lead to disorganized thinking, decreased ability to focus and concentrate, and can put patients at risk. The purpose of the integrative review was to determine the effects of a mindfulness-based stress reduction (MBSR) program to reduce the perceived stress levels of nurses.
METHODS: Included was a search of databases using key search terms and inclusion and exclusion criteria. Relevant peer-reviewed articles within the last five years were appraised to identify similarities and differences. This paper discusses the implications of unresolved stress on nurses and patients they care for including quality and safety of patient care, cost of nurse turnover rates related to stress, and poor work efficiency.
CONCLUSIONS: Literature results suggest that implementation of a mindfulness-based stress reduction (MBSR) program leads to a reduction in perceived stress levels among nurses resulting in improved patient outcomes, increased job satisfaction, and reduction of organizational costs associated with the hiring and onboarding process.
UNASSIGNED: It is the conclusion of this integrative review that implementation of a MBSR program leads to improvements in stress reduction and indirectly positively impacts patient outcomes. It is recommended that organizations implement a formal eight-week mindfulness-based stress reduction program.
UNASSIGNED: There are no conflicts of interest or financial gains for the recommendations for MBSR implementation resources. These resources are solely provided for additional learning and implementation purposes. There are both free resources and for purchase resources available that guides implementation and operationalization of the MBSR program.

Duchenne muscular dystrophy (DMD) is a disease that primarily affects males and causes a gradual loss of muscle strength. This results in a deterioration of motor skills and functional mobility, which can impact the performance of various occupations. Individuals with DMD often rely heavily on caregivers to assist with daily activities, which can lead to caregiver burden. A case study was conducted to explore and describe potential variations in the performance of a young adult diagnosed with DMD and his caregivers resulting from the integration of smart speakers (SS)-controlled Internet of Things (IoT) devices in the home environment. The study also examined the potential of SS as an environment control unit (ECU) and analysed variations in caregiver burden. Smart devices and SS were installed in the most frequently used spaces, namely, the bedroom and living room. The study employed WebQDA software to perform content analysis and Microsoft Excel to calculate the scores of the structured instruments. The implementation of the IoT-assisted environment compensated for previously physical tasks, resulting in a slight increase in independent performance and reduced demands on caregivers.

OBJECTIVE: Self-compassion is a healthy way of responding to challenges that may help long-term care professional caregivers (ie, nursing assistants and personal care aides) cope with stress, but its use may vary in important ways. This study explored the relationships between self-compassion and caregiver demographic characteristics, anxiety and depressive symptoms, and job satisfaction in a large racially/ethnically diverse sample of professional caregivers.
METHODS: Cross-sectional self-report questionnaire.
METHODS: A total of 391 professional caregivers, including nursing assistants and personal care aides from 10 nursing homes and 3 assisted living communities in New York, California, and North Carolina.
METHODS: Professional caregivers were invited to complete an online questionnaire regarding stress and coping. Self-compassion was measured using the Self-Compassion for Youth Scale; anxiety and depressive symptoms were assessed using standardized screeners; and job satisfaction was assessed via an item used in a national survey. Self-compassion scores were represented by total scores and individual subscale scores. Analysis of variance was used to examine differences in self-compassion scores based on demographic characteristics, and correlation coefficients were used to explore relationships between self-compassion and mental health symptoms and job satisfaction.
RESULTS: Significant differences were found in self-compassion based on age, race/ethnicity, place of birth, and education. In general, older caregivers, caregivers with higher education, and caregivers born outside the United States had the highest self-compassion, whereas White caregivers had the lowest self-compassion. Self-compassion was negatively associated with anxiety and depressive symptoms and positively associated with job satisfaction.
CONCLUSIONS: Professional caregivers\' use of self-compassion to cope with challenges may depend on characteristics and life experiences influenced by their sociocultural background. Given the link between self-compassion and lower mental health symptoms and higher job satisfaction, it may be helpful to design and implement interventions with these differences in mind.

OBJECTIVE: A better understanding of factors associated with assisted living admission and discharge practices can help identify communities that are more likely to allow residents to age in place. This study examined how state regulations and assisted living organizational characteristics related to community admission and discharge practices for bathing, getting out of bed, and feeding.
METHODS: Using data from a representative sample of 250 assisted living communities in seven states and a database of assisted living state regulations, we employed multilevel logistic regression models to examine regulatory and organizational correlates of assisted living community admission and discharge practices for 3 activities of daily living (bathing, getting out of bed, and feeding).
RESULTS: States\' regulations were not associated with assisted living community admission and discharge practices. However, assisted living communities above the median in the number of personal care staff members per resident were 17% (95% confidence interval [CI]: 6.5%, 27.1%) more likely to admit residents who needed assistance with feeding and 25.4% (95% CI: -37.7, -13.2) less likely to discharge these residents. For-profit communities were more likely to admit residents with bathing and feeding limitations.
CONCLUSIONS: Organizational characteristics (e.g., for-profit affiliation, staffing levels) may, in part, drive admission and discharge practices, especially related to different care needs. The ability to house residents with advanced care needs may be influenced more by the organizational resources available to care for these residents than by states\' admission and discharge regulations.

OBJECTIVE: Assisted living (AL) is a significant and growing congregate care option for vulnerable older adults designed to reduce the use of nursing homes (NHs). However, work on excess mortality in congregate care during the COVID-19 pandemic has primarily focused on NHs with only a few US studies examining AL. The objective of this study was to assess excess mortality among AL and NH residents with and without dementia or significant cognitive impairment in Alberta, Canada, during the first 2 years of the COVID-19 pandemic, relative to the 3 years before.
METHODS: Population-based, retrospective cohort study.
METHODS: Residents who lived in an AL or NH facility operated or contracted by the Provincial health care system to provide publicly funded care in Alberta between January 1, 2017, and December 31, 2021.
METHODS: We used administrative health care data, including Resident Assessment Instrument - Home Care (RAI-HC, AL) and Minimum Data Set 2.0 (RAI-MDS 2.0, NHs) records, linked with data on residents\' vital statistics, COVID-19 testing, emergency room registrations, and hospital stays. The outcome was excess deaths during COVID-19 (ie, the number of deaths beyond that expected based on pre-pandemic data), estimated, using overdispersed Poisson generalized linear models.
RESULTS: Overall, the risk of excess mortality [adjusted incidence rate ratio (95% confidence interval)] was higher in ALs than in NHs [1.20 (1.14-1.26) vs 1.10 (1.07-1.13)]. Weekly peaks in excess deaths coincided with COVID-19 pandemic waves and were higher among those with diagnosed dementia or significant cognitive impairment in both, AL and NHs.
CONCLUSIONS: Finding excess mortality within both AL and NH facilities should lead to greater focus on infection prevention and control measures across all forms of congregate housing for vulnerable older adults. The specific needs of residents with dementia in particular will have to be addressed.

Technology has a major impact on the way nurses work. Data-driven technologies, such as artificial intelligence (AI), have particularly strong potential to support nurses in their work. However, their use also introduces ambiguities. An example of such a technology is AI-driven lifestyle monitoring in long-term care for older adults, based on data collected from ambient sensors in an older adult\'s home. Designing and implementing this technology in such an intimate setting requires collaboration with nurses experienced in long-term and older adult care. This viewpoint paper emphasizes the need to incorporate nurses and the nursing perspective into every stage of designing, using, and implementing AI-driven lifestyle monitoring in long-term care settings. It is argued that the technology will not replace nurses, but rather act as a new digital colleague, complementing the humane qualities of nurses and seamlessly integrating into nursing workflows. Several advantages of such a collaboration between nurses and technology are highlighted, as are potential risks such as decreased patient empowerment, depersonalization, lack of transparency, and loss of human contact. Finally, practical suggestions are offered to move forward with integrating the digital colleague.

Gait speed and timed-up-and-go (TUG) predict cognitive decline, falls, and mortality. Dual-tasks may be useful in cognitive screening among people living with dementia (PWD), but more evidence is needed. This cross-sectional study aimed to compare single- and dual-task performance and determine the influence of dementia severity on dual-task performance and interference. Thirty PWD in two residential care facilities (Age: 81.3 ± 7.1 years; Montreal Cognitive Assessment: 10.4 ± 6.0 points) completed two trials of single- (feet apart) and dual-task posture (feet apart while counting backward), single- (walk 4 m) and dual-task gait (walk 4m while naming words), and single- (timed-up-and-go (TUG)), and dual-task functional mobility (TUG while completing a category task) with APDM inertial sensors. Dual-tasks resulted in greater sway frequency, jerk, and sway area; slower gait speed; greater double limb support; shorter stride length; reduced mid-swing elevation; longer TUG duration; reduced turn angle; and slower turn velocity than single-tasks (ps < 0.05). Dual-task performance was impacted (reduced double limb support, greater mid-swing elevation), and dual-task interference (greater jerk, faster gait speed) was related to moderate-to-severe compared to mild PWD. Moderate-to-severe PWD had poorer dynamic stability and a reduced ability to appropriately select a cautious gait during dual-tasks than those with mild PWD, indicating the usefulness of dual-tasks for cognitive screening.