Determinants of received care time among Finnish home care clients and assisted living facility residents: a time-motion study.

BACKGROUND: Ageing populations and care workforce shortages across Europe are causing challenges for care services for older people. Therefore, it is paramount that limited care resources are allocated optimally, based on the clients' care needs. Multiple functioning-related factors have been identified that determine the amount of care time clients receive, while organizational and other factors remain largely unexplored. The aim was to examine how various individual and organizational factors are associated with clients' received care time in different care settings. METHODS: Cross-sectional observational study design with data from time and motion study, registers, and surveys was used. In total, 1477 home care clients and 1538 residents from assisted living facilities with 24/7 service participated, from 61 Finnish care units. Linear mixed-effect modeling was used to examine the association between individual and organizational-level variables and received care time. RESULTS: Physical functioning was the strongest predictor of received care time in both care settings. In home care, greater pain, more unstable health, and higher team autonomy were associated with increased care time. In assisted living, depressive mood and higher staffing level of the organization were associated with care time. Clients who received informal care also received significantly more care time from nurses in both care settings. CONCLUSIONS: Physical functioning was the main driver of received care time. Interventions that maintain or improve physical functioning can help restrain the growing need of care resources, although it is important to ensure that each client receives care according to their holistic care needs.

Associations between specialized dementia care, COVID-19 and central nervous system medication use in assisted living: a population-based repeated cross-sectional study.

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.

Participants' baseline characteristics and feedback of the nature-based social intervention "friends in nature" among lonely older adults in assisted living facilities in finland: a randomised controlled trial of the RECETAS EU-project.

BACKGROUND: Loneliness is common among older adults in institutional settings. It leads to adverse effects on health and wellbeing, for which nature contact with peers in turn may have positive impact. However, the effects of nature engagement among older adults have not been studied in randomised controlled trials (RCT). The "Friends in Nature" (FIN) group intervention RCT for lonely older adults in Helsinki assisted living facilities (ALFs) aims to explore the effects of peer-related nature experiences on loneliness and health-related quality of life (HRQoL). In this study we aim describe the participants' baseline characteristics of the RCT, feasibility of FIN intervention and intervention participants' feedback on the FIN. METHODS: Lonely participants were recruited from 22 ALFs in Helsinki area, Finland, and randomised into two groups: 1) nature-based social intervention once a week for nine weeks (n = 162) and 2) usual care (n = 157). Demographics, diagnoses and medication use were retrieved from medical records, and baseline cognition, functioning, HRQoL, loneliness and psychological wellbeing were assessed. Primary trial outcomes will be participants' loneliness (De Jong Giervald Loneliness Scale) and HRQoL (15D). RESULTS: The mean age of participants was 83 years, 73% were female and mean Minimental State Examination of 21 points. The participants were living with multiple co-morbidities and/or disabilities. The intervention and control groups were comparable at baseline. The adherence with intervention was moderate, with a mean attendance of 6.8 out of the nine sessions. Of the participants, 14% refused, fell ill or were deceased, and therefore, participated three sessions or less. General subjective alleviation of loneliness was achieved in 57% of the intervention participants. Of the respondents, 96% would have recommended a respective group intervention to other older adults. Intervention participants appreciated their nature excursions and experiences. CONCLUSIONS: We have successfully randomised 319 lonely residents in assisted living facilities into a trial about the effects of nature experiences in a group-format. The feedback from participants was favourable. The trial will provide important information about possibilities of alleviating loneliness with peer-related nature-based experiences in frail residents. TRIAL REGISTRATION: ClinicalTrials.gov, ID: NCT05507684. Registration 19/08/2022.

Stakeholder needs assessment for developing ageing in place solutions - a qualitative study.

BACKGROUND: Ageing in place is a common desire among older adults and people in need of care. Accessible housing and ambient assisted living (AAL) technologies can help to live independently at home. However, they cannot replace the human support network of informal caregivers, healthcare professionals and social workers. The needs of these stakeholders should be considered and analysed in order to develop user-friendly and acceptable (digital) solutions for ageing in place while supporting human support networks in fulfilling their roles. This paper presents the first step for a comprehensive multi-level needs analysis within the framework of an user-centered design thinking approach. METHODS: Guideline-based interviews were conducted with healthcare professionals, social workers and an informal caregiver to collect data about the needs of older adults as well as people in need of care, and their human support networks. RESULTS: The call for more information that is easier to find is a common desire of the three groups. There is agreement on system-based communication and orientation problems, the existence of physical and psychological stress exacerbated by a lack of human resources, the desire for personalised care, the need to feel safe and supported in emergencies, and the need for advice and help with administrative tasks. Overall, the needs of one group are closely linked to those of the other. CONCLUSION: Stakeholder selection and diversity are decisive for findings about ageing in place. The overlaps between the stakeholders' needs offer chances and challenges at the same time for the development of user-friendly, acceptable (digital) solutions and products that support ageing in place.

Examining pain, function, behavioral symptoms and associations with engagement in meaningful activity for residents with dementia in assisted living.

OBJECTIVES: The purpose of this study was to examine factors associated with engagement in meaningful activity among residents with dementia in assisted living. We hypothesized that greater functional independence, less pain, and lower behavioral and psychological symptom severity would be associated with higher engagement in meaningful activity after controlling for residents' age, gender, comorbidities, and cognition. Understanding factors associated with engagement in meaningful activity can help to inform strategies for optimizing engagement among residents with dementia in assisted living. METHOD: This descriptive study used baseline data from a randomized controlled trial, Meaningful Activity for Managing Behavioral Symptoms of Distress (MAC-4-BSD). Linear regression was used to examine factors associated with engagement in meaningful activity. RESULTS: A total of 71 residents from 5 assisted living settings were included in the sample. Most participants were female (n = 52, 73%), White (n = 62, 87%), and mean age was 85 years old (SD = 8.2). Controlling for age, gender, comorbidities, and cognition, pain was significantly associated with engagement in meaningful activity (b= -2.09, p < 0.05). There were no associations found between function and behavioral symptoms with engagement in meaningful activity. CONCLUSION: Findings from this study show that pain is a significant factor that is negatively associated with residents' engagement in meaningful activity. Ongoing research is needed to help improve pain management for residents with dementia in assisted living and support their engagement in meaningful activity.

Measuring older adults' wellbeing when transitioning into assisted living facilities: a confirmatory factor analysis of the Mueller assessment of transition (MAT).

OBJECTIVES: Older adults' wellbeing during the transition into an assisted living facility (ALF) is not well understood and may influence their wellbeing. The Mueller Assessment of Transition (MAT) was created to measure the impact of transition on older adults' wellbeing. Early developmental testing of the MAT revealed a hypothesized model with two constructs (adjustment strategies and constraints to wellbeing). Therefore, the purpose of this study was to confirm the factor structure of the MAT with a representative sample of older adults transitioning into ALFs. METHODS: In a nationwide sample, 108 older adult participants completed the MAT to measure wellbeing when relocating into ALFs. Confirmatory factor analysis (CFA) assessed the structural validity of the MAT. Internal consistency was evaluated, and chi-square tests of association for regional differences in MAT scores were also conducted. RESULTS: The CFA produced strong fit indices to confirm the hypothesized 2-factor (constraints to wellbeing and adjustment strategies) model of the MAT. Cronbach's alpha for the internal consistency was 0.784 and chi-square test indicated no significant regional differences. CONCLUSION: The MAT was established as a valid and reliable standardized assessment. Implications for using the MAT as a tool to measure older adults' wellbeing and future research are discussed.

Real-Time Prediction of Resident ADL Using Edge-Based Time-Series Ambient Sound Recognition.

To create an effective Ambient Assisted Living (AAL) system that supports the daily activities of patients or the elderly, it is crucial to accurately detect and differentiate user actions to determine the necessary assistance. Traditional intrusive methods, such as wearable or object-attached devices, can interfere with the natural behavior of patients and may lead to resistance. Furthermore, non-intrusive systems that rely on video or sound data processed by servers or the cloud can generate excessive data traffic and raise concerns about the security of personal information. In this study, we developed an edge-based real-time system for detecting Activities of Daily Living (ADL) using ambient noise. Additionally, we introduced an online post-processing method to enhance classification performance and extract activity events from noisy sound in resource-constrained environments. The system, tested with data collected in a living space, achieved high accuracy in classifying ADL-related behaviors in continuous events and successfully generated user activity logs from time-series sound data, enabling further analyses such as ADL assessments. Future work will focus on enhancing detection accuracy and expanding the range of detectable behaviors by integrating the activity logs generated in this study with additional data sources beyond sound.

Emergency Detection in Smart Homes Using Inactivity Score for Handling Uncertain Sensor Data.

In an aging society, the need for efficient emergency detection systems in smart homes is becoming increasingly important. For elderly people living alone, technical solutions for detecting emergencies are essential to receiving help quickly when needed. Numerous solutions already exist based on wearable or ambient sensors. However, existing methods for emergency detection typically assume that sensor data are error-free and contain no false positives, which cannot always be guaranteed in practice. Therefore, we present a novel method for detecting emergencies in private households that detects unusually long inactivity periods and can process erroneous or uncertain activity information. We introduce the Inactivity Score, which provides a probabilistic weighting of inactivity periods based on the reliability of sensor measurements. By analyzing historical Inactivity Scores, anomalies that potentially represent an emergency can be identified. The proposed method is compared with four related approaches on seven different datasets. Our method surpasses existing approaches when considering the number of false positives and the mean time to detect emergencies. It achieves an average detection time of approximately 05:23:28 h with only 0.09 false alarms per day under noise-free conditions. Moreover, unlike related approaches, the proposed method remains effective with noisy data.

Unobtrusive Cognitive Assessment in Smart-Homes: Leveraging Visual Encoding and Synthetic Movement Traces Data Mining.

The ubiquity of sensors in smart-homes facilitates the support of independent living for older adults and enables cognitive assessment. Notably, there has been a growing interest in utilizing movement traces for identifying signs of cognitive impairment in recent years. In this study, we introduce an innovative approach to identify abnormal indoor movement patterns that may signal cognitive decline. This is achieved through the non-intrusive integration of smart-home sensors, including passive infrared sensors and sensors embedded in everyday objects. The methodology involves visualizing user locomotion traces and discerning interactions with objects on a floor plan representation of the smart-home, and employing different image descriptor features designed for image analysis tasks and synthetic minority oversampling techniques to enhance the methodology. This approach distinguishes itself by its flexibility in effortlessly incorporating additional features through sensor data. A comprehensive analysis, conducted with a substantial dataset obtained from a real smart-home, involving 99 seniors, including those with cognitive diseases, reveals the effectiveness of the proposed functional prototype of the system architecture. The results validate the system's efficacy in accurately discerning the cognitive status of seniors, achieving a macro-averaged F1-score of 72.22% for the two targeted categories: cognitively healthy and people with dementia. Furthermore, through experimental comparison, our system demonstrates superior performance compared with state-of-the-art methods.

The Impact of Dual-Tasks and Disease Severity on Posture, Gait, and Functional Mobility among People Living with Dementia in Residential Care Facilities: A Pilot Study.

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.

A Robust Deep Feature Extraction Method for Human Activity Recognition Using a Wavelet Based Spectral Visualisation Technique.

Human Activity Recognition (HAR), alongside Ambient Assisted Living (AAL), are integral components of smart homes, sports, surveillance, and investigation activities. To recognize daily activities, researchers are focusing on lightweight, cost-effective, wearable sensor-based technologies as traditional vision-based technologies lack elderly privacy, a fundamental right of every human. However, it is challenging to extract potential features from 1D multi-sensor data. Thus, this research focuses on extracting distinguishable patterns and deep features from spectral images by time-frequency-domain analysis of 1D multi-sensor data. Wearable sensor data, particularly accelerator and gyroscope data, act as input signals of different daily activities, and provide potential information using time-frequency analysis. This potential time series information is mapped into spectral images through a process called use of 'scalograms', derived from the continuous wavelet transform. The deep activity features are extracted from the activity image using deep learning models such as CNN, MobileNetV3, ResNet, and GoogleNet and subsequently classified using a conventional classifier. To validate the proposed model, SisFall and PAMAP2 benchmark datasets are used. Based on the experimental results, this proposed model shows the optimal performance for activity recognition obtaining an accuracy of 98.4% for SisFall and 98.1% for PAMAP2, using Morlet as the mother wavelet with ResNet-101 and a softmax classifier, and outperforms state-of-the-art algorithms.

"Qualitative evaluation of a digital software solution for documentation and training in 24-hour home care".

Owing to its cost-efficiency, 24-hour home care is increasing and represents a cornerstone in the care of elder people in Austria. A software solution to support 24-hour caregivers in their daily routine was developed facilitating a user-centered design process. It includes electronic documentation, an e-learning platform, emergency management, and a communication tool. To evaluate the usability and acceptance of the developed software solution, a qualitative survey including focus groups (FG), a group interview (GI), and a usability walkthrough (UW) were conducted. This paper describes the findings of the qualitative survey which indicate that the e-learning platform as well as the e-documentation support 24-hour caregivers in their daily work with their clients. Participants with less technical affinity needed support to use the tool proficiently. 24-hour caregivers appreciate the fact that the solution unites all the needed information in one place.

A Mixed Methods Feasibility Study of Machine-Based Resistance Training With Prefrail Older Adults in Residential Care: The Keeping Active in Residential Elderly Trial II.

Physical activity is an effective, proactive intervention to reduce or reverse frailty and functional decline. However, uncertainty exists about the feasibility and impact of resistance training on multidimensional health in prefrail older adults in residential care. This mixed methods feasibility study assessed practicability with limited efficacy testing on health and functional outcomes. Eleven prefrail older adults participated in a 6-week progressive resistance training protocol three times per week. The intervention and measures were found to be appropriate and acceptable by those who completed the trial, with participants self-reporting improved well-being, mood, and function. Analysis identified several barriers to recruitment, including prior commitments, seasonal impact, and session timing, and offered potential solutions with further recommendations for program refinement prior to a definitive randomized controlled trial. These findings add to our understanding of prefrail older adults' preferences regarding participation in physical activity research and the perceived benefits of resistance training. This trial was registered with ClinicalTrials.gov: NCT03141879.

Healthy and Happy? An Ethical Investigation of Emotion Recognition and Regulation Technologies (ERR) within Ambient Assisted Living (AAL).

Ambient Assisted Living (AAL) refers to technologies that track daily activities of persons in need of care to enhance their autonomy and minimise their need for assistance. New technological developments show an increasing effort to integrate automated emotion recognition and regulation (ERR) into AAL systems. These technologies aim to recognise emotions via different sensors and, eventually, to regulate emotions defined as "negative" via different forms of intervention. Although these technologies are already implemented in other areas, AAL stands out by its tendency to enable an inconspicuous 24-hour surveillance in the private living space of users who rely on the technology to maintain a certain degree of independence in their daily activities. The combination of both technologies represents a new dimension of emotion recognition in a potentially vulnerable group of users. Our paper aims to provide an ethical contextualisation of the novel combination of both technologies. We discuss different concepts of emotions, namely Basic Emotion Theory (BET) and the Circumplex Model of Affect (CMA), that form the basis of ERR and provide an overview over the current technological developments in AAL. We highlight four ethical issues that specifically arise in the context of ERR in AAL systems, namely concerns regarding (1) the reductionist view of emotions, (2) solutionism as an underlying assumption of these technologies, (3) the privacy and autonomy of users and their emotions, (4) the tendency of machine learning techniques to normalise and generalise human behaviour and emotional reactions.

The relationship between perceived engagement in meaningful activity and behavioral and psychological symptoms of dementia among assisted living residents.

The purpose of this study is to assess the relationship between engagement in meaningful activities and behavioral and psychological symptoms of dementia (BPSD), including agitation, apathy, irritability, and depression among 71 assisted living (AL) residents with moderate to severe dementia. This secondary analysis used baseline data from a randomized controlled trial, Meaningful Activity for Managing Behavioral Symptoms of Distress (MAC-4-BSD) in five AL communities. The Engagement in Meaningful Activities Scale and the Neuropsychiatric Inventory Questionnaire were completed. Logistic regression was used to compare those with and without each BPSD symptom of interest on engagement in meaningful activities while controlling for age, sex, and cognitive impairment. On average, participants were 85 years old, white, females. Perceived engagement in meaningful activities was significantly associated with decreased odds of having agitation (OR=0.94, 95 % CI [.88-0.99]) but not with apathy, depression, or irritability. Engagement in meaningful activities may help reduce agitation among AL residents.

Effects of mindfulness-based stress reduction programs on Nurses' perceived stress levels.

INTRODUCTION: 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. RESEARCH METHODOLOGY: 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. RESULTS AND DISCUSSION: 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. CONCLUSIONS AND FURTHER RECOMMENDATIONS: 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. MBSR IMPLEMENTATION RESOURCES: 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.

Effect of a digital two-dimensional animation program on attitude toward walking aids, performance, and fall avoidance behaviors among older adults in assisted living facilities.

The study investigated the impact of a two-dimensional animation program on attitudes towards walking aids, performance, and fall avoidance behaviors among older adults in assisted living facilities. A quasi-experimental pretest-posttest control group study was conducted on 128 older adults aged 60 years and above. The intervention group showed more favorable attitudes towards walking aids, improved cane and walker use, and reduced fall concerns. The 2D animation program proved to be an innovative teaching strategy that positively influenced attitudes, performance, and fall-related concerns among elderly residents. Integration into care settings could enhance mobility, reduce fall risks, and contribute to overall well-being.

The Impact of Assisted Living Organizational Structure and Process Characteristics on Staff Absence During COVID-19.

Quality of care in assisted living communities (ALCs) is important to consumers. The coronavirus disease of 2019 (COVID-19) pandemic and associated emergency policies have posed major challenges on staff recruitment and retention. This study aimed to examine the relationship between organizational characteristics of ALCs in Florida and challenges with staff absence during COVID-19 (N = 129 ALCs). Results indicated that structures (provision of memory care services), processes of care (challenges hiring new staff, staff sent home to comply with precautions, and staff anxiety), and local COVID-19 positivity rate were significantly associated with staff absence due to fear of infection, sickness, or family responsibilities. ALC providers and state regulatory agencies should develop policies and procedures that take these issues into consideration to prepare for future emergencies and disasters. Infection control policies should reflect whether an ALC provides memory care services and inform ways to overcome potential challenges with protocols. Efforts to reduce staff anxiety and disaster-related concerns should also be considered to ensure quality of care during emergencies.

ALCs who provided memory care services had significantly greater challenges with staff absence due to fear of infection during the COVID-19 pandemic.The administrative action of sending staff home to comply with COVID-19 precautions, difficulty hiring new staff, and staff anxiety were process characteristics of ALCs associated with greater challenges with staff absence.Policymakers should consider whether an ALC provides memory care services, faces potential challenges with infection control protocols, and addresses the mental health of staff when creating and implementing infection control policies.

Medication Costs and Use of Older Americans in Assisted Living Settings: a Nationally Representative Cross-Sectional Study.

BACKGROUND: Assisted-living (AL) settings are an important residential care option for old and disabled Americans, but there are no national data characterizing medication use in AL. OBJECTIVE: To investigate medication costs and use of older adults living in the AL settings compared to those in the community, independent living, and nursing home settings. DESIGN: 2015 National Health and Aging Trends Study; nationally representative cross-sectional study. PATICIPANTS: Respondents ≥ 65 years with Medicare Part D prescription drug coverage (n = 5980, representing 32.34 million older adults). MEASURES: Total Part D medication costs; number of 30-day prescription fills; binary indicators for overall polypharmacy (≥ 5 and ≥ 10 concurrent medications), prescription fills of opioid and psychotropic medications including antipsychotics, benzodiazepines, gabapentinoids, antidepressants, and central nervous system-active (CNS-active) polypharmacy. RESULTS: Adjusting for demographics, the annual medication costs among AL residents, at $3890, were twice as high as those of their community-dwelling counterparts ($1932; p < .01). All medication outcomes except opioids were higher for older adults in AL compared to community settings. While the adjusted number of 30-day prescription fills among AL residents was slightly lower than that of nursing home residents (89.5 vs. 106.2; p < .05), AL residents experienced equivalent rates of overall polypharmacy ≥ 10 medications (30.2% vs. 23.5%), antipsychotics (30.8% vs. 27.8%), benzodiazepines (30.7% vs. 32.6%), gabapentinoids (21.2% vs. 16.1%), and CNS-active polypharmacy (26.0% vs. 36.9%; p > .05 for all). Patterns of use across settings were consistent when limited to older adults with dementia. CONCLUSIONS: Older Americans in AL experience a prescription medication burden similar to those in nursing homes. AL settings have an important opportunity to ensure their medication-related clinical services and supports match the needs of their residents.

Caregiver Involvement and Concerns with Care of Residents of Assisted Living before and during the COVID-19 Pandemic.

INTRODUCTION: Family/friend caregivers play an essential role in promoting the physical and mental health of older adults in need of care - especially during the COVID-19 pandemic and especially in assisted living (AL) homes, where resident care needs are similarly complex as in long-term care homes but fewer staffing resources and services are available. However, little research is available on caregiver involvement and concerns with care of AL residents prior to and during waves 1 and 2 of the COVID-19 pandemic. This study addressed this important knowledge gap. METHODS: This prospective cohort study used baseline and follow-up online surveys with primary caregivers to AL residents in Western Canada who were 65 years or older and had lived in the AL home for at least 3 months before Mar 1, 2020. Surveys assessed the following outcomes in the 3 months prior to and during waves 1 and 2 of the pandemic: sociodemographics, 5 ways of visiting or communicating with residents, involvement in 16 care tasks, concerns with 9 resident physical/mental health conditions, perceived lack of resident access to 7 care services, and whether caregivers felt well informed and involved with resident care. RESULTS: Based on 386 caregiver responses, in-person visits dropped significantly in wave 1 of the pandemic and so did caregiver involvement in nearly all care tasks. While these rates increased in wave 2, most did not return to pre-pandemic levels. Correspondingly, caregiver concerns (already high before the pandemic) substantially increased in wave 1 and stayed high in wave 2. These were particularly elevated among caregivers who did not feel well informed/involved with resident care. CONCLUSIONS: Restricted in-person visiting disrupted resident care and was associated with worse perceptions of resident health and well-being. Continued caregiver involvement in resident care and communication with caregivers even during lockdowns is key to mitigating these issues.