Abstract:Depending on the type and stage of dementia, residents may have different needs for space to move, sensory stimuli, and social contact. In order to meet these different needs, confining residents to a dementia special care unit to the top floor should be avoided unless it is carefully designed, providing sufficient freedom of movement and connection with the outside world.
“…This is both due to its multicollinearity with other variables such as temperature and season, but also to the fact that most facilities are indoors, making this factor less influential on the behavior of residents. Our analysis confirms that accommodating residents with dementia on the top floor should only occur when strictly necessary (e.g., to prevent patients exiting from dementia special care units), adopting thoughtfully designed solutions, as Van Hecke et al state in [7].…”
Section: Assessing Patients Sociability: the Relational Indexsupporting
confidence: 76%
“…Spatial solutions, especially those focused on accessibility, play an important role in promoting socialization between patients. Van Hecke et al [7] state that when AD patients are not allowed to leave a dementia special care unit, it is important to provide sufficient freedom of movement and social interaction within the unit, including access to private outdoor space. This freedom of movement is crucial for patients walking through the unit without a specific destination.…”
This paper aims at understanding the social behavior of people with dementia through the use of technology, specifically by analyzing localization data of patients of an Alzheimer’s assisted care home in Italy. The analysis will allow to promote social relations by enhancing the facility’s spaces and activities, with the ultimate objective of improving residents’ quality of life. To assess social wellness and evaluate the effectiveness of the village areas and activities, this work introduces measures of sociability for both residents and places. Our data analysis is based on classical statistical methods and innovative machine learning techniques. First, we analyze the correlation between relational indicators and factors such as the outdoor temperature and the patients’ movements inside the facility. Then, we use statistical and accessibility analyses to determine the spaces residents appreciate the most and those in need of enhancements. We observe that patients’ sociability is strongly related to the considered factors. From our analysis, outdoor areas result less frequented and need spatial redesign to promote accessibility and attendance among patients. The data awareness obtained from our analysis will also be of great help to caregivers, doctors, and psychologists to enhance assisted care home social activities, adjust patient-specific treatments, and deepen the comprehension of the disease.
“…This is both due to its multicollinearity with other variables such as temperature and season, but also to the fact that most facilities are indoors, making this factor less influential on the behavior of residents. Our analysis confirms that accommodating residents with dementia on the top floor should only occur when strictly necessary (e.g., to prevent patients exiting from dementia special care units), adopting thoughtfully designed solutions, as Van Hecke et al state in [7].…”
Section: Assessing Patients Sociability: the Relational Indexsupporting
confidence: 76%
“…Spatial solutions, especially those focused on accessibility, play an important role in promoting socialization between patients. Van Hecke et al [7] state that when AD patients are not allowed to leave a dementia special care unit, it is important to provide sufficient freedom of movement and social interaction within the unit, including access to private outdoor space. This freedom of movement is crucial for patients walking through the unit without a specific destination.…”
This paper aims at understanding the social behavior of people with dementia through the use of technology, specifically by analyzing localization data of patients of an Alzheimer’s assisted care home in Italy. The analysis will allow to promote social relations by enhancing the facility’s spaces and activities, with the ultimate objective of improving residents’ quality of life. To assess social wellness and evaluate the effectiveness of the village areas and activities, this work introduces measures of sociability for both residents and places. Our data analysis is based on classical statistical methods and innovative machine learning techniques. First, we analyze the correlation between relational indicators and factors such as the outdoor temperature and the patients’ movements inside the facility. Then, we use statistical and accessibility analyses to determine the spaces residents appreciate the most and those in need of enhancements. We observe that patients’ sociability is strongly related to the considered factors. From our analysis, outdoor areas result less frequented and need spatial redesign to promote accessibility and attendance among patients. The data awareness obtained from our analysis will also be of great help to caregivers, doctors, and psychologists to enhance assisted care home social activities, adjust patient-specific treatments, and deepen the comprehension of the disease.
“…7,20 These may be as diverse as having access to the required land and resources to perform agricultural activities, as demonstrated by the Green Farm and Dementia Villages models, 11,13 to outdoor patios that may be adjacent to a cottage-style residence, 21 to rooftop terraces on multistory facilities. 22 If outdoor access is not possible, it is recommended that windows face the outdoors and plentiful natural light be incorporated. 22 Finally, these LTC facilities are commonly embedded within existing residential neighbourhoods among houses, Based on jurisdiction of publication, unless otherwise stated� b Many publications did not report on a specific small house model, but rather reported from a generic perspective such as "small-scale," "house-like," "household," and "small house�" parks, schools, shopping, and so forth, to affirm that residents are still valued members of society.…”
Section: Designmentioning
confidence: 99%
“…22 If outdoor access is not possible, it is recommended that windows face the outdoors and plentiful natural light be incorporated. 22 Finally, these LTC facilities are commonly embedded within existing residential neighbourhoods among houses, Based on jurisdiction of publication, unless otherwise stated� b Many publications did not report on a specific small house model, but rather reported from a generic perspective such as "small-scale," "house-like," "household," and "small house�" parks, schools, shopping, and so forth, to affirm that residents are still valued members of society. 4,5,11,22 Although these additional characteristics support the residential-like character of the small house model, practical restraints, such as space or budgets, often may dictate what design aspects are ultimately implemented.…”
The small house model of long-term care (LTC) is identified internationally by several model names. Although some differences exist between the characteristics of these models (e.g., number of residents, degree of resident freedom, facility design), there are 3 recurring components: functional units with a small group of residents, replication of familiar domestic routines, and some form of decentralized staff.
The key philosophic difference between the small house model and the traditional LTC model is the heavy focus on person-centred care. This approach to care in the small house model is firmly rooted in freedom of choice and autonomy for the residents.
Small house models eliminate the strict delineation of roles; staff at all levels are included in the decision-making process. Self-managed and universal work teams are prominent features of the small house model. Frontline staff with strong interpersonal skills are essential for successful implementation.
No strong trend emerges from the literature with respect to the impact of the small house model on resident-centred outcomes compared with more traditional models of LTC. This is likely due to lack of consistency in the outcomes that are measured and variability among the different small house models. This finding is consistent with other reviews on the topic.
Literature exploring the Canadian experience with small house models is limited. The majority of identified studies used data from the US or European jurisdictions, which potentially limits its generalizability to the Canadian context.
“…Previous research highlights that both visual and physical access to outdoor spaces are important for older people to experience freedom and movement ( Orr et al, 2016 ), including those with dementia ( Van Hecke et al, 2018 ). Natural landscapes and gardens have a well-known therapeutic potential ( Motealleh et al, 2019 ) and are core features of a healing environment that ensures older people’s emotional ( Blake & Mitchell, 2016 ), mental ( Corazon et al, 2019 ), physical, social, psychological, and cognitive health and well-being ( Uwajeh et al, 2019 ; Whear et al, 2014 ).…”
This study aims to identify and synthesize qualitative research regarding residents’ experiences of gardens while living in nursing homes and residential care facilities. To provide an optimal nursing environment inspired by nature, we need to derive knowledge from the residents’ perspective. An interpretive meta-synthesis approach, a meta-ethnography, was chosen for this study. Altogether, six articles representing three continents and comprising 124 participants were included. The six articles that fulfilled the inclusion criteria were analyzed and synthesized according to Noblit & Hare’s seven phases of meta-ethnography and the recent eMERGe guidelines. Four themes were identified: (1) The garden—a place to feel a connection with life, (2) the garden—a place to sense and find comfort, (3) the garden—a place to feel healthy and alive, and (4) the garden—a place to relate past and present. An overarching metaphor, “human flourishing with dignity,” offers a deeper understanding of the meaning of the garden for older people in nursing homes and residential care. This meta-ethnography provides a reflective, systematic, data-driven synthesis based on literature spanning ten years. Rather than simply relying on retelling, the narration of experiences according to the primary researcher’s descriptions and interpretations results in new knowledge. The significance of gardens for older people’s health and well-being needs to be given greater attention and space in nursing practice, education, and health policies.
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