scholarly journals Do Daytime Activity, Mood at Bedtime and Unit Tumult Predict Nighttime Sleep Quality of Long-Term Care Residents?

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 882-883
Author(s):  
Murad Taani ◽  
Christine Kovach

Abstract Sleep quality declines in old age and is particularly poor for long-term care (LTC) residents with dementia. Compromised sleep quality is associated with severe cognitive and neuropsychiatric symptoms, agitation, aggressiveness, and poor quality of life. Based on the premise that stressors can have a cumulative effect on people with dementia throughout the day that contributes to negative consequences later in the day, we examined if daytime activity, mood, and unit tumult were associated with sleep quality. A convenience sample of 53 LTC residents with dementia participated in this correlational study. Objective sleep quality and activity variables were measured using Actigraphy, and mood was measured by the Observed Emotion Rating Scale. Unit tumult was defined as events in the residents living area that are deviations from the typical day (i.e., census changes, being cared for by a certified nursing assistant from a temporary staffing agency, and lower than usual staffing level). Comorbid illness and level of dementia were control variables. Half of the sample had a sleep efficiency that was less than .85 and were awake for more than 90 minutes at night. Comorbid illness, negative mood at bedtime, and daytime activity level accounted for 26.1% of the variance in total sleep minutes. Census changes and the use of temporary agency staff were associated with poor total sleep time and sleep efficiency. Findings suggest that daytime activity, mood at bedtime, and unit tumult should be considered when designing and testing interventions to improve sleep quality among LTC residents with dementia.

Healthcare ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 22
Author(s):  
Murad H. Taani ◽  
Christine R. Kovach

Based on the premise that stressors can have a cumulative effect on people with dementia throughout the day that contributes to negative consequences later in the day, we examined if daytime activity, unit tumult, and mood were associated with sleep quality. A convenience sample of 53 long-term care (LTC) residents participated in this correlational study. Objective sleep quality was measured using actigraphy, and comorbid illness and level of dementia were control variables. Half of the sample had a sleep efficiency that was less than 80% and was awake for more than 90 min at night. Comorbid illness, negative mood at bedtime, and daytime activity level accounted for 26.1% of the variance in total sleep minutes. Census changes and the use of temporary agency staff were associated with poor sleep. Findings suggest daytime activity, mood at bedtime, and unit tumult should be considered when designing and testing interventions to improve sleep quality.


Author(s):  
Da Eun Kim ◽  
Ju Young Yoon

Long-term care residents often experience sleep disturbances as they are vulnerable to a variety of physical, psychosocial, and environmental factors that contribute to sleep disturbances. However, few studies have examined the combined impact of multiple factors on sleep among long-term care residents. This study aimed to identify the factors that influence sleep efficiency and sleep quality based on a modified senescent sleep model. A total of 125 residents were recruited from seven long-term care facilities in South Korea. Sleep patterns and sleep quality were collected using 3-day sleep logs and the Minimal Insomnia Screening Scale for Korean adults (KMISS), respectively. The mean sleep efficiency was 84.6% and the mean score on sleep quality was 15.25. A multiple linear regression analysis showed that greater dependence in activities of daily living (ADL), higher pain, and light at night were related to lower sleep efficiency. Higher pain and fatigue, less activity time, noise and light at night, and lower nighttime staffing levels were related to poorer sleep quality. This study highlights that psychosocial and environmental factors as well as physical factors could influence sleep for long-term care residents. Our findings could be foundational evidence for multi-faceted sleep intervention program development in long-term care settings.


2016 ◽  
Vol 1 (15) ◽  
pp. 64-67
Author(s):  
George Barnes ◽  
Joseph Salemi

The organizational structure of long-term care (LTC) facilities often removes the rehab department from the interdisciplinary work culture, inhibiting the speech-language pathologist's (SLP's) communication with the facility administration and limiting the SLP's influence when implementing clinical programs. The SLP then is unable to change policy or monitor the actions of the care staff. When the SLP asks staff members to follow protocols not yet accepted by facility policy, staff may be unable to respond due to confusing or conflicting protocol. The SLP needs to involve members of the facility administration in the policy-making process in order to create successful clinical programs. The SLP must overcome communication barriers by understanding the needs of the administration to explain how staff compliance with clinical goals improves quality of care, regulatory compliance, and patient-family satisfaction, and has the potential to enhance revenue for the facility. By taking this approach, the SLP has a greater opportunity to increase safety, independence, and quality of life for patients who otherwise may not receive access to the appropriate services.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yi-chang Chen ◽  
Keh-chung Lin ◽  
Chen-Jung Chen ◽  
Shu-Hui Yeh ◽  
Ay-Woan Pan ◽  
...  

Abstract Background Joint contractures, which affect activity, participation, and quality of life, are common complications of neurological conditions among elderly residents in long-term care facilities. This study examined the reliability and validity of the Chinese version of the PaArticular Scales in a population with joint contractures. Methods A cross-sectional study design was used. The sample included elderly residents older than 64 years with joint contractures in an important joint who had lived at one of 12 long-term care facilities in Taiwan for more than 6 months (N = 243). The Chinese version of the PaArticular Scales for joint contractures was generated from the English version through five stages: translation, review, back-translation, review by a panel of specialists, and a pretest. Test-retest reliability, internal consistency reliability, construct validity, and criterion validity were evaluated, and the results were compared with those for the World Health Organization Quality of Life scale and the World Health Organization Disability Assessment Schedule. Results The Chinese version of the PaArticular Scales had excellent reliability, with a Cronbach α coefficient of 0.975 (mean score, 28.98; standard deviation, 17.34). An exploratory factor analysis showed three factors and one factor with an eigenvalue > 1 that explained 75.176 and 62.83 % of the total variance in the Activity subscale and Participation subscale, respectively. The subscale-to-total scale correlation analysis showed Pearson correlation coefficients of 0.881 for the Activity subscale and 0.843 for the Participation subscale. Pearson’s product-moment correlation revealed that the correlation coefficient (r) between the Chinese version of the PaArticular Scales and the World Health Organization Disability Assessment Schedule was 0.770, whereas that for the World Health Organization Quality of Life scale was − 0.553; these values were interpreted as large coefficients. Conclusions The underlying theoretical model of the Chinese version of the PaArticular Scales functions well in Taiwan and has acceptable levels of reliability and validity. However, the Chinese version must be further tested for applicability and generalizability in future studies, preferably with a larger sample and in different clinical domains.


2020 ◽  
Vol 32 (S1) ◽  
pp. 15-16
Author(s):  
William E. Reichman ◽  
L. Bradford Perkins ◽  
Hilde Verbeek

This symposium will review the latest data on the influence of environmental design and its attributes on the cognitive and psychological wellbeing of older adults living with dementia. The presenters will cover the myriad ways in which the physical environment of care can adapt to the changing demands of older adults with sensory, motor and cognitive deficits and foster optimal functioning and quality of life. The role of emerging technologies will also be reviewed as they complement the contribution of the design of the physical environment to the wellbeing of older adults with cognitive impairment. Information will be offered through a review of the existing research literature as well as case studies that illustrate the impact of environmental modification on fostering wellbeing and minimizing the emergence of the behavioral and psychological symptoms of dementia. The presenters will represent and integrate sensibilities that have emerged from the fields of architecture, cognitive neuroscience and psychology.How the Principles of the Culture Change Movement Inform Environmental Design and the Application of Technology in the Care of Older Adults Living with DementiaWilliam E. ReichmanThe culture change movement informs a number of principles that have been applied to more contemporary design concepts for the congregate care of older adults living with dementia. This talk will review the core tenets of the Culture Change Movement as exemplified by the Greenhouse, Dementia Village and other innovative models of congregate long-term care. Specific reference will be made to how these tenets have been operationalized around the world into the design of programming and the creation of residential care environments that foster a better quality of life for older adults and an enhanced work environment for care providers. This talk will also include the emerging role of technologies that complement innovative design of the environment and which foster optimized social and recreational functioning of older adults living with dementia.A Better Life Through a Better Nursing Home DesignL. Bradford PerkinsOver the last 20 years there has been extensive experimentation related to the role of the environment in the housing, care and treatment of persons with Alzheimer’s and other age related dementias. Prior to that time the typical housing and care environment was a locked unit in a skilled nursing or other restrictive senior living facility. In 1991 the Presbyterian Association on Aging in Western Pennsylvania opened Woodside Place on its Oakmont campus. This small 36 bed facility was designed to incorporate the latest research and care experience with persons suffering from these issues. This one small project, as well as the long post occupancy research led by Carnegie Mellon University, clearly demonstrated that individuals with Alzheimer’s and related forms of dementia could lead a healthier, happier, higher quality of life in a more residential, less restrictive environment. Not everything in this pioneering project worked, and five generations of living and care models have followed that have refined the ideas first demonstrated by Woodside Place. Bradford Perkins, whose firm designed Woodside Place and over 100 other related projects, will discuss what was learned from Woodside Place as well as the five generations of projects (and post occupancy research) that followed.Innovative dementia care environments as alternatives for traditional nursing homes: evidence and experiences from the NetherlandsHilde VerbeekKey goals of the dementia care environment focus on increasing autonomy, supporting independence and trying to enable one’s own lifestyle for as long as possible. To meet these goals, innovative, small-scale and homelike care environments have been developed that have radically changed the physical, social and organizational aspects of long-term care in the Netherlands. This presentation discusses various Dutch models that have implemented small-scale and homelike care environments, including green care farms, dementia village and citizen initiatives. The models reflect a common care concept, focusing on residents’ remaining strengths, providing opportunity for choice and aiming to sustain a sense of self and control. A small number of residents (usually 6 to 8) live together in a homelike environment and nursing staff are part of the household. Residents are encouraged to participate in daily household activities, emphasizing normalization of daily life with person-centred care. The physical environment resembles an archetypal home. This talk presents the scientific evidence on the impact and effects of these small-scale, homelike models on residents, their family caregivers and staff. Furthermore, the presentation will highlight working approaches and how these initiatives have positively influenced routine care across the long-term care spectrum.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 185-185
Author(s):  
Rachel McPherson ◽  
Barbara Resnick ◽  
Elizabeth Galik

Abstract Communication and interactions are an integral part of care in long-term care settings. Resident variables, such as race and gender, shape communication and interaction between staff and residents. The Quality of Interactions Schedule (QuIS) was developed to measure the quality of verbal and nonverbal interactions among nursing staff and older adults initially for those in acute care and later used as well in a variety of long term care settings. A quantified measurement of the quality of interactions between residents and staff was created to quantify the QuIS. The purpose of this study was to describe the gender and racial differences in scored quality of interactions. Data for the present study was based on baseline data from the Evidence Integration Triangle for Behavioral and Psychological Symptoms of Dementia (EIT-4-BPSD) implementation study. A total of 535 residents from 55 settings were included in the analyses. An analysis of covariance was conducted to determine a difference in QuIS scores between males and females while controlling for age. The second model tested for differences in QuIS scores between blacks and whites while controlling for age and gender. There was not a statistically significant difference in QuIS scores between male and female residents. There was a significant difference in QuIS scores between those who were black versus white, such that those who were black received more positive interactions from staff than those who were white. Future work should focus on a deeper examination of resident factors and staff factors that may influence these interactions.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 960-960
Author(s):  
Sara Luck ◽  
Katie Aubrecht

Abstract Nursing home facilities are responsible for providing care for some of the most vulnerable groups in society, including the elderly and those with chronic medical conditions. In times of crisis, such as COVID-19 or other pandemics, the delivery of ‘regular’ care can be significantly impacted. In relation to COVID-19, there is an insufficient supply of personal protective equipment (PPE) to care for residents, as PPE not only protects care staff but also residents. Nursing homes across the United States and Canada have also taken protective measures to maximize the safety of residents by banning visitors, stopping all group activities, and increasing infection control measures. This presentation shares a research protocol and early findings from a study investigating the impact of COVID-19 on quality of care in residential long-term care (LTC) in the Canadian province of New Brunswick. This study used a qualitative description design to explore what contributes to quality of care for residents living in long-term care, and how this could change in times of crisis from the perspective of long-term care staff. Interviews were conducted with a broad range of staff at one LTC home. A semi-structured interview guide and approach to thematic analysis was framed by a social ecological perspective, making it possible to include the individual and proximal social influences as well as community, organizations, and policy influencers. Insights gained will improve the understanding of quality of care, as well as potential barriers and facilitators to care during times of crisis.


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