Structural characteristics of specialised living units for people with dementia: a cross-sectional study in German nursing homes

Palm, Rebecca; Bartholomeyczik, Sabine; Roes, Martina; Holle, Bernhard

doi:10.1186/1752-4458-8-39

Cited by 19 publications

(34 citation statements)

References 26 publications

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“…An advantage of this explorative analysis is that it delivers a cluster solution that ts the data. In the previously published results, eight possible types were de ned a priori, of which only ve types could be achieved in the data [19].…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, speci c questionnaires were developed and tested. The details of the questionnaire development are described in depth elsewhere [18,19].…”

Section: Data Collectionmentioning

confidence: 99%

“…For the present study, we evaluated the same variables for the structural characteristics of the living units that were used in the previously published results [19]. These are variables for structural characteristics such as the organization of meal services, size of the living unit, interior design, architectural characteristics, sta ng, etc.…”

Section: Variables and Measurementsmentioning

confidence: 99%

“…Based on these structural characteristics, eight types of different living units could have been de ned a priori, but only these ve types could be realized in the data. Therefore, in the absence of a typology for DSCUs and traditional care units, we de ned the following types of living units [19] Observing these ve types, we expected that large segregated living units with extra funding (LSLU II) would have better staff resources, accommodate residents with more severe symptoms of dementia, provide a milieu that is more dementia-friendly and perform better with respect to national guidelines in the care of people with dementia and challenging behavior in comparison with the other types of living units. Hence, we also expected to nd differences among the living units with respect to the residents' care outcomes.…”

Section: Introductionmentioning

confidence: 99%

“…On this basis, we have included many additional characteristics for type formation in the current study. To achieve this, we have oriented toward our previous results, because they indicate that the types de ned a priori are associated with a variety of other structural characteristics [19], implying that there are more complex relationships that can be considered for the development of living unit types. These are structural characteristics of the living units, which are de ned by variables relating to sta ng, such as "Special quali cation of head nurse in psychogeriatric care", and by variables relating to spatial conditions, such as "Architectural segregation from other units".…”

Section: Introductionmentioning

confidence: 99%

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Empirical development of a typology on residential long-term care units in Germany - results of an exploratory multivariate data analysis

Bergmann

Ströbel

Holle

et al. 2020

Preprint

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Background: Organizational health care research focuses on describing structures and processes in organizations and investigating their impact on the quality of health care. In the setting of residential long-term care, this effort includes the examination and description of structural differences among the organizations (e.g., nursing homes). The objective of the analysis is to develop an empirical typology of living units in nursing homes that differ in their structural characteristics. Methods: Data from the DemenzMonitor Study were used. The DemenzMonitor is an observational study carried out in a convenience sample of 103 living units in 51 nursing homes spread over 11 German federal states. Characteristics of living units were measured by 19 variables related to staffing, work organization, building characteristics and meal preparation. Multiple correspondence analysis (MCA) and agglomerative hierarchical cluster analysis (AHC) are suitable to create a typology of living units. Both methods are multivariate and explorative. We present a comparison with a previous typology (created by a nonexplorative and nonmultivariate process) of the living units derived from the same data set.Results: The MCA revealed differences among the living units, which are defined in particular by the size of the living unit (number of beds), the additional qualifications of the head nurse, the living concept and the presence of additional financing through a separate benefit agreement. We identified three types of living units; these clusters occur significantly with a certain combination of characteristics. In terms of content, the three clusters can be defined as: "house community", "dementia special care units” and "usual care". Conclusion: A typology is useful to gain a deeper understanding of the differences in the care structures of residential long-term care organizations. In addition, the study provides a practical recommendation on how to apply the results, enabling housing units to be assigned to a certain type. The typology can be used as a reference for definitions.

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Section: Discussionmentioning

confidence: 99%

“…Therefore, speci c questionnaires were developed and tested. The details of the questionnaire development are described in depth elsewhere [18,19].…”

Section: Data Collectionmentioning

confidence: 99%

Section: Variables and Measurementsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Empirical development of a typology on residential long-term care units in Germany - results of an exploratory multivariate data analysis

Bergmann

Ströbel

Holle

et al. 2020

Preprint

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Preferences for Living Arrangements in Dementia: A Discrete Choice Experiment

Speckemeier,

Abels,

Höfer

et al. 2023

PharmacoEconomics Open

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Background Dementia affects about 55 million people worldwide. Demographic change and shifting lifestyles challenge the organization of dementia care. A discrete choice experiment (DCE) was conducted to elicit preferences for living arrangements in dementia in urban and rural regions of Germany. Methods Preliminary work included review of previous literature and focus groups. The DCE consists of seven attributes (group size, staff qualifications, organization of care, activities offered, support of religious practice, access to garden, consideration of food preferences) with three levels each. Individuals from the general population between the ages of 50 and 65 years were identified through population registration offices in three rural municipalities and one urban area, and 4390 individuals were approached via postal survey. A hierarchical Bayesian mixed logit model was estimated and interactions with sociodemographic characteristics were investigated. Results A total of 428 and 412 questionnaires were returned by rural and urban respondents, respectively. Access to a garden was perceived as the most important attribute (average importance 36.0% in the rural sample and 33.4% in the urban sample), followed by consideration of food preferences (15.8%, 17.8%), staff qualification (14.6%, 15.3%), care organization (11.4%, 12.3%), group size (12.2%, 11.1%), and range of activities (8.0%, 10.1%). The attribute relating to religious practice was given the least importance (2.1%, 0%). Preferences vary according to gender, age, religious beliefs, experience as an informal caregiver, and migrant background. Conclusion Heterogeneous preferences for living arrangements for people with dementia were identified. The expansion of concepts with access to natural environments for persons with dementia might be a viable option for the formal care market in Germany. Further research is needed to meet the challenges of setting up and designing innovative living arrangements for people with dementia. Preferences vary by gender, age, religious beliefs, experience as an informal caregiver, and migrant background. Supplementary Information The online version contains supplementary material available at 10.1007/s41669-023-00452-9.

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Methodological approaches in analysing observational data: A practical example on how to address clustering and selection bias

Trutschel

Palm

Holle

et al. 2017

International Journal of Nursing Studies

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Structural characteristics of specialised living units for people with dementia: a cross-sectional study in German nursing homes

Cited by 19 publications

References 26 publications

Empirical development of a typology on residential long-term care units in Germany - results of an exploratory multivariate data analysis

Empirical development of a typology on residential long-term care units in Germany - results of an exploratory multivariate data analysis

Preferences for Living Arrangements in Dementia: A Discrete Choice Experiment

Methodological approaches in analysing observational data: A practical example on how to address clustering and selection bias

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