Time from diagnosis to institutionalization and death in people with dementia

Relationship between sleep, physical fitness, brain microstructure, and cognition in healthy older adults: A pilot study

BACKGROUND

There is a critical need for neuroimaging markers of brain integrity to monitor effects of modifiable lifestyle factors on brain health. This observational, cross-sectional study assessed relationships between brain microstructure and sleep, physical fitness, and cognition in healthy older adults.

METHODS

Twenty-three adults aged 60 and older underwent whole-brain multi-shell diffusion imaging, comprehensive cognitive testing, polysomnography, and exercise testing. Neurite Orientation Dispersion and Density Imaging (NODDI) was used to quantify neurite density (NDI) and orientation dispersion (ODI). Diffusion tensor imaging (DTI) was used to quantify axial diffusivity (AxD), fractional anisotropy (FA), mean diffusivity (MD), and radial diffusivity (RD). Relationships between sleep efficiency (SE), time and percent in N3 sleep, cognitive function, physical fitness (VO2 peak) and the diffusion metrics in regions of interest and the whole brain were evaluated.

RESULTS

Higher NDI in bilateral white and gray matter was associated with better executive functioning. NDI in the right anterior cingulate and adjacent white matter was positively associated with language skills. Higher NDI in the left posterior corona radiata was associated with faster processing speed. Physical fitness was positively associated with NDI in the left precentral gyrus and corticospinal tract. N3 % was positively associated with NDI in the left caudate and right pre- and postcentral gyri. Higher ODI in the left putamen and adjacent white matter was associated with better executive function.

CONCLUSION

NDI and ODI derived from NODDI are potential neuroimaging markers for associations between brain microstructure and modifiable risk factors in aging. If these associations are observable in clinical samples, NODDI could be incorporated into clinical trials assessing the effects of modifiable risk factors on brain integrity in aging and neurodegenerative diseases.

Lessons learned from the development of a national registry on dementia care and support based on linked national health and administrative data

Introduction

This paper provides insight into the development of the Dutch Dementia Care and Support Registry and the lessons that can be learned from it. The aim of this Registry was to contribute to quality improvement in dementia care and support.

Methods

This paper describes how the Registry was set up in four stages, reflecting the four FAIR principles: the selection of data sources (Findability); obtaining access to the selected data sources (Accessibility); data linkage (Interoperability); and the reuse of data (Reusability).

Results

The linkage of 16 different data sources, including national routine health and administrative data appeared to be technically and legally feasible. The linked data in the Registry offers rich information about (the use of) care for persons with dementia across various healthcare settings, including but not limited to primary care, secondary care, long-term care and medication use, that cannot be obtained from single data sources.

Conclusions

A key lesson learned is that in order to reuse the data for quality improvement in practice, it is essential to involve healthcare professionals in setting up the Registry and to guide them in the interpretation of the data.

Time Path of Weight Status Before and After Incident Dementia

Objectives: Identifying whether obesity is a risk factor for dementia is complicated by the possibility of weight change as dementia evolves. This article investigates an extended time path of body mass index (BMI) before and after incident dementia in a nationally representative sample. Methods: Using the Health and Retirement Study (2000-2016), we examine (1) the longitudinal relationship between BMI and incident dementia and (2) heterogeneity in the BMI trajectory by initial BMI level. Results: Weight loss begins at least one decade before incident dementia, then accelerates in the years immediately preceding dementia onset and continues after incident dementia. Those with higher levels of BMI at baseline experienced a much greater decline relative to those with a normal weight. Discussion: Our results help explain the contradicting findings in the literature regarding the relationship between obesity and dementia and highlight the need for using extended longitudinal data to understand dementia risk.

Prevalence and Determinants of Diagnosed Dementia: A Registry Linkage Study Linking Diagnosis of Dementia in the Population-Based HUNT Study to Registry Diagnosis of Dementia in Primary Care and Hospitals in Norway

Background

A timely diagnosis of dementia can be beneficial for providing good support, treatment, and care, but the diagnostic rate remains unknown and is probably low.

Objective

To determine the dementia diagnostic rate and to describe factors associated with diagnosed dementia.

Methods

This registry linkage study linked information on research-based study diagnoses of all-cause dementia and subtypes of dementias, Alzheimer's disease, and related dementias, in 1,525 participants from a cross-sectional population-based study (HUNT4 70+) to dementia registry diagnoses in both primary-care and hospital registries. Factors associated with dementia were analyzed with multiple logistic regression.

Results

Among those with research-based dementia study diagnoses in HUNT4 70+, 35.6% had a dementia registry diagnosis in the health registries. The diagnostic rate in registry diagnoses was 19.8% among home-dwellers and 66.0% among nursing home residents. Of those with a study diagnosis of Alzheimer's disease, 35.8% (95% confidence interval (CI) 32.6-39.0) had a registry diagnosis; for those with a study diagnosis of vascular dementia, the rate was 25.8% (95% CI 19.2-33.3) and for Lewy body dementias and frontotemporal dementia, the diagnosis rate was 63.0% (95% CI 48.7-75.7) and 60.0% (95% CI 43.3-75.1), respectively. Factors associated with having a registry diagnosis included dementia in the family, not being in the youngest or oldest age group, higher education, more severe cognitive decline, and greater need for help with activities of daily living.

Conclusions

Undiagnosed dementia is common, as only one-third of those with dementia are diagnosed. Diagnoses appear to be made at a late stage of dementia.

Identifying Predictors of Nursing Home Admission by Using Electronic Health Records and Administrative Data: Scoping Review

Background

Among older adults, nursing home admissions (NHAs) are considered a significant adverse outcome and have been extensively studied. Although the volume and significance of electronic data sources are expanding, it is unclear what predictors of NHA have been systematically identified in the literature via electronic health records (EHRs) and administrative data.

Objective

This study synthesizes findings of recent literature on identifying predictors of NHA that are collected from administrative data or EHRs.

Methods

The PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines were used for study selection. The PubMed and CINAHL databases were used to retrieve the studies. Articles published between January 1, 2012, and March 31, 2023, were included.

Results

A total of 34 papers were selected for final inclusion in this review. In addition to NHA, all-cause mortality, hospitalization, and rehospitalization were frequently used as outcome measures. The most frequently used models for predicting NHAs were Cox proportional hazards models (studies: n=12, 35%), logistic regression models (studies: n=9, 26%), and a combination of both (studies: n=6, 18%). Several predictors were used in the NHA prediction models, which were further categorized into sociodemographic, caregiver support, health status, health use, and social service use factors. Only 5 (15%) studies used a validated frailty measure in their NHA prediction models.

Conclusions

NHA prediction tools based on EHRs or administrative data may assist clinicians, patients, and policy makers in making informed decisions and allocating public health resources. More research is needed to assess the value of various predictors and data sources in predicting NHAs and validating NHA prediction models externally.

Advance Care Planning in the Netherlands

The Dutch health care system fosters a strong public health sector offering accessible generalist care including generalist palliative care. General practitioners are well positioned to conduct ACP, for example, to continue or initiate conversations after hospitalization. However, research shows that ACP conversations are often ad hoc and in frail patients, ACP is often only initiated when admitted to a nursing home by elderly care physicians who are on the staff. Tools that raise awareness of triggers to initiate ACP, screening tools, information brochures, checklists and training have been developed and implemented with funding by national programs which currently focus on implementation projects rather than or in addition to, research. The programs commonly require educational deliverables, patient and public involvement and addressing diversity in patient groups. A major challenge is how to implement ACP systematically and continuously across sectors and disciplines in a way that supports a proactive yet person-centered approach rather than an approach with an exclusive focus on medical procedures. Digital solutions can support continuity of care and communication about care plans. Solutions should fit a culture that prefers trust-based, informal deliberative approaches. This may be supported by involving disciplines other than medicine, such as nursing and spiritual caregiving, and public health approaches.

Dementia care navigation: Building toward a common definition, key principles, and outcomes

INTRODUCTION

As the complexity of medical treatments and patient care systems have increased, the concept of patient navigation is growing in both popularity and breadth of application. Patient navigators are trained personnel whose role is not to provide clinical care, but to partner with patients to help them identify their needs and goals and then overcome modifiable patient-, provider-, and systems-level barriers. Due to its high incidence, duration, and medical-social complexity, dementia is an ideal candidate for a patient-centric health care delivery model such as care navigation.

METHODS

The Alzheimer's Association formed an expert workgroup of researchers in the field of dementia care navigation to identify evidence-based guidelines.

RESULTS

Recognizing the unique and challenging needs of persons living with dementia and their care partners, several U.S. dementia care navigation programs have been developed and assessed in recent years. Collectively these programs demonstrate that persons living with dementia and their care partners benefit from dementia care navigation. Improved care system outcomes for the person living with dementia include reduced emergency department visits, lower hospital readmissions, fewer days hospitalized, and shorter delays in long-term care placement. Well-being is also increased, as there is decreased depression, illness, strain, embarrassment, and behavioral symptoms and increased self-reported quality of life. For care partners, dementia navigation resulted in decreased depression, burden, and unmet needs.

DISCUSSION

This article presents principles of dementia care navigation to inform existing and emerging dementia care navigation programs.

Highlights

Several U.S. dementia care navigation programs have demonstrated outcomes for persons living with dementia, care partners, and health systems.The Alzheimer's Association formed an expert workgroup of researchers in the field of dementia care navigation to create a shared definition and identify evidence-based guidelines or principles.These outlined principles of dementia care navigation can inform existing and emerging dementia care navigation programs.

Time-Varying Use of Proton Pump Inhibitors and Cognitive Impairment and Dementia: A Real-World Analysis from Germany

BACKGROUND

Cumulative evidence of dementia risk in patients taking proton pump inhibitors (PPIs) is still inconclusive, probably due to a variety of study designs.

OBJECTIVE

This study aimed to compare how the association between dementia risk and use of PPIs differs by different outcome and exposure definitions.

METHODS

We conceptualized a target trial using claims data with 7,696,127 individuals aged 40 years or older without previous dementia or mild cognitive impairment (MCI) from the Association of Statutory Health Insurance Physicians in Bavaria. Dementia was defined as either including or excluding MCI to compare how the results alter by different outcome definitions. We used weighted Cox models to estimate the PPI initiation effect on dementia risk and weighted pooled logistic regression to assess the effect of time-varying use versus non-use during 9 years of study period, including 1 year of wash-out period (2009-2018). The median follow-up time of PPI initiators and non-initiators was 5.4 and 5.8 years, respectively. We also evaluated the association between each PPI agent (omeprazole, pantoprazole, lansoprazole, esomeprazole, and combined use) and dementia risk.

RESULTS

A total of 105,220 (3.6%) PPI initiators and 74,697 (2.6%) non-initiators were diagnosed with dementia. Comparing PPI initiation with no initiation, the hazard ratio (HR) for dementia was 1.04 [95% confidence interval (CI) 1.03-1.05]. The HR for time-varying PPI use versus non-use was 1.85 (1.80-1.90). When MCI was included in the outcome, the number of outcomes increased to 121,922 in PPI initiators and 86,954 in non-initiators, but HRs remained similar, showing 1.04 (1.03-1.05) and 1.82 (1.77-1.86), respectively. Pantoprazole was the most frequently used PPI agent. Although the estimated HRs for the time-varying use effect of each PPI showed different ranges, all agents were associated with an increased dementia risk. A total of 105,220 (3.6%) PPI initiators and 74,697 (2.6%) non-initiators were diagnosed with dementia. Comparing PPI initiation with no initiation, the hazard ratio (HR) for dementia was 1.04 [95% confidence interval (CI) 1.03-1.05]. The HR for time-varying PPI use versus non-use was 1.85 (1.80-1.90). When MCI was included in the outcome, the number of outcomes increased to 121,922 in PPI initiators and 86,954 in non-initiators, but HRs remained similar, showing 1.04 (1.03-1.05) and 1.82 (1.77-1.86), respectively. Pantoprazole was the most frequently used PPI agent. Although the estimated HRs for the time-varying use effect of each PPI showed different ranges, all agents were associated with an increased dementia risk.A total of 105,220 (3.6%) PPI initiators and 74,697 (2.6%) non-initiators were diagnosed with dementia. Comparing PPI initiation with no initiation, the hazard ratio (HR) for dementia was 1.04 [95% confidence interval (CI) 1.03-1.05]. The HR for time-varying PPI use versus non-use was 1.85 (1.80-1.90). When MCI was included in the outcome, the number of outcomes increased to 121,922 in PPI initiators and 86,954 in non-initiators, but HRs remained similar, showing 1.04 (1.03-1.05) and 1.82 (1.77-1.86), respectively. Pantoprazole was the most frequently used PPI agent. Although the estimated HRs for the time-varying use effect of each PPI showed different ranges, all agents were associated with an increased dementia risk.A total of 105,220 (3.6%) PPI initiators and 74,697 (2.6%) non-initiators were diagnosed with dementia. Comparing PPI initiation with no initiation, the hazard ratio (HR) for dementia was 1.04 [95% confidence interval (CI) 1.03-1.05]. The HR for time-varying PPI use versus non-use was 1.85 (1.80-1.90). When MCI was included in the outcome, the number of outcomes increased to 121,922 in PPI initiators and 86,954 in non-initiators, but HRs remained similar, showing 1.04 (1.03-1.05) and 1.82 (1.77-1.86), respectively. Pantoprazole was the most frequently used PPI agent. Although the estimated HRs for the time-varying use effect of each PPI showed different ranges, all agents were associated with an increased dementia risk.A total of 105,220 (3.6%) PPI initiators and 74,697 (2.6%) non-initiators were diagnosed with dementia. Comparing PPI initiation with no initiation, the hazard ratio (HR) for dementia was 1.04 [95% confidence interval (CI) 1.03-1.05]. The HR for time-varying PPI use versus non-use was 1.85 (1.80-1.90). When MCI was included in the outcome, the number of outcomes increased to 121,922 in PPI initiators and 86,954 in non-initiators, but HRs remained similar, showing 1.04 (1.03-1.05) and 1.82 (1.77-1.86), respectively. Pantoprazole was the most frequently used PPI agent. Although the estimated HRs for the time-varying use effect of each PPI showed different ranges, all agents were associated with an increased dementia risk.A total of 105,220 (3.6%) PPI initiators and 74,697 (2.6%) non-initiators were diagnosed with dementia. Comparing PPI initiation with no initiation, the hazard ratio (HR) for dementia was 1.04 [95% confidence interval (CI) 1.03-1.05]. The HR for time-varying PPI use versus non-use was 1.85 (1.80-1.90). When MCI was included in the outcome, the number of outcomes increased to 121,922 in PPI initiators and 86,954 in non-initiators, but HRs remained similar, showing 1.04 (1.03-1.05) and 1.82 (1.77-1.86), respectively. Pantoprazole was the most frequently used PPI agent. Although the estimated HRs for the time-varying use effect of each PPI showed different ranges, all agents were associated with an increased dementia risk.A total of 105,220 (3.6%) PPI initiators and 74,697 (2.6%) non-initiators were diagnosed with dementia. Comparing PPI initiation with no initiation, the hazard ratio (HR) for dementia was 1.04 [95% confidence interval (CI) 1.03-1.05]. The HR for time-varying PPI use versus non-use was 1.85 (1.80-1.90). When MCI was included in the outcome, the number of outcomes increased to 121,922 in PPI initiators and 86,954 in non-initiators, but HRs remained similar, showing 1.04 (1.03-1.05) and 1.82 (1.77-1.86), respectively. Pantoprazole was the most frequently used PPI agent. Although the estimated HRs for the time-varying use effect of each PPI showed different ranges, all agents were associated with an increased dementia risk.A total of 105,220 (3.6%) PPI initiators and 74,697 (2.6%) non-initiators were diagnosed with dementia. Comparing PPI initiation with no initiation, the hazard ratio (HR) for dementia was 1.04 [95% confidence interval (CI) 1.03-1.05]. The HR for time-varying PPI use versus non-use was 1.85 (1.80-1.90). When MCI was included in the outcome, the number of outcomes increased to 121,922 in PPI initiators and 86,954 in non-initiators, but HRs remained similar, showing 1.04 (1.03-1.05) and 1.82 (1.77-1.86), respectively. Pantoprazole was the most frequently used PPI agent. Although the estimated HRs for the time-varying use effect of each PPI showed different ranges, all agents were associated with an increased dementia risk.A total of 105,220 (3.6%) PPI initiators and 74,697 (2.6%) non-initiators were diagnosed with dementia. Comparing PPI initiation with no initiation, the hazard ratio (HR) for dementia was 1.04 [95% confidence interval (CI) 1.03-1.05]. The HR for time-varying PPI use versus non-use was 1.85 (1.80-1.90). When MCI was included in the outcome, the number of outcomes increased to 121,922 in PPI initiators and 86,954 in non-initiators, but HRs remained similar, showing 1.04 (1.03-1.05) and 1.82 (1.77-1.86), respectively. Pantoprazole was the most frequently used PPI agent. Although the estimated HRs for the time-varying use effect of each PPI showed different ranges, all agents were associated with an increased dementia risk.

CONCLUSION

Our large study supports existing evidence that PPI use is related to an increased risk of dementia.

Classifying Polypharmacy According to Pharmacotherapeutic and Clinical Risks in Older Adults: A Latent Class Analysis in Quebec, Canada

INTRODUCTION

The simplistic definition of polypharmacy, often designated as the concomitant use of five medications or more, does not distinguish appropriate from inappropriate polypharmacy. Classifying polypharmacy according to varying levels of health risk would help optimise medication use.

OBJECTIVE

We aimed to characterise different types of polypharmacy among older adults and evaluate their association with mortality and institutionalisation.

METHODS

Using healthcare databases from the Quebec Integrated Chronic Disease Surveillance System, we selected a community-based random sample of the population ≥ 66 years old covered by the public drug plan. Categorical indicators used to describe polypharmacy included number of medications, potentially inappropriate medications (PIMs), drug-drug interactions, enhanced surveillance medications, complex route of administration medications, anticholinergic cognitive burden (ACB) score and use of blister cards. We used a latent class analysis to subdivide participants into distinct groups of polypharmacy. Their association with 3-year mortality and institutionalisation was assessed with adjusted Cox models.

RESULTS

In total, 93,516 individuals were included. A four-class model was selected with groups described as (1) no polypharmacy (46% of our sample), (2) high-medium number of medications, low risk (33%), (3) medium number of medications, PIM use with or without high ACB score (8%) and (4) hyperpolypharmacy, complex use, high risk (13%). Using the class without polypharmacy as the reference, all polypharmacy classes were associated with 3-year mortality and institutionalisation, with the most complex/inappropriate classes denoting the highest risk (hazard ratio [HR] [95% confidence interval]: class 3, 70-year-old point estimate for mortality 1.52 [1.30-1.78] and institutionalisation 1.86 [1.52-2.29]; class 4, 70-year-old point estimate for mortality 2.74 [2.44-3.08] and institutionalisation 3.11 [2.60-3.70]).

CONCLUSIONS

We distinguished three types of polypharmacy with varying pharmacotherapeutic and clinical appropriateness. Our results highlight the value of looking beyond the number of medications to assess polypharmacy.

Nurses' support needs in providing high-quality palliative care to persons with dementia in the hospital setting: A cross-sectional survey study

BACKGROUND

Since dementia is an irreversible progressive disease characterized by a decline in mental functions and overall health, a palliative care approach is recommended. Nevertheless, many persons with dementia experience burdensome hospitalizations in end-of-life care. Their quality of life during hospitalization can be improved by palliative nursing care that suits their fragile health.

AIM

To explore hospital nurses' perceived support needs while providing high-quality palliative care for persons with dementia and to identify differences between nurses in different ward types and at different educational levels.

DESIGN

Cross-sectional, multicenter survey study.

METHOD

Between January 2021 and April 2021, a convenience sample of Dutch hospital nurses received a web-based questionnaire on the topics of palliative caregiving, communication, collaboration, and hospital admissions. The data were analyzed using descriptive statistics.

RESULTS

The survey was completed by 235 nurses. The most frequently endorsed support needs were "communicating with persons with severe dementia" (58.3%), "appointing a permanent contact person in the care for persons with dementia" (53.6%), and "dealing with family disagreement in end-of-life care" (53.2%). If nurses had more time to provide care, 66.4% of them would prioritize providing personal attention. Most support needs identified by nurses were similar.

CONCLUSION

A heterogeneous group of nurses demonstrates overall similar support needs in providing palliative care for persons with dementia and their families in the hospital setting.

CLINICAL RELEVANCE

Nursing practices should implement dementia-friendly interventions to improve the quality of dementia care in the hospital.

Family caregivers' experience of communication with nursing home staff from admission to end of life during the COVID-19 pandemic: A qualitative study employing a transitional perspective

OBJECTIVES

Family caregivers' (FCs) caregiving in nursing home (NH) moves across 3 main phases: transitioning relatives to long-term care, worsening of a relative's conditions, and end of life; each phase brings specific challenges that FCs must confront. Moreover, during the COVID-19 pandemic, strict mandatory visitor restrictions affected communication modalities. This study explored FCs' experience of communication with NH staff during the COVID-19 pandemic from admission to end of life.

METHODS

A descriptive qualitative study with inductive content analysis was performed in 7 Italian NHs from May to June 2021. NH managers purposively identified 25 FCs at different phases of their caregiving trajectory: transitional (i.e., admission in the previous 8 weeks, n = 8), deterioration-in-condition (i.e., acknowledged changes in care needs of their relative after trigger events, n = 10), and end-of-life phase (i.e., death expected in the next weeks or a few months, n = 7), who were interviewed.

RESULTS

Regardless the phase of caregiving trajectory, what mattered most to FCs was the opportunity to have regular and sensitive discussions with health-care professionals. The need of in-person communication increased nearing death. The COVID-19 pandemic enhanced FCs' need to interact with health-care professionals they trusted. Knowledge of residents' preferences mitigated FCs' turbulent emotions throughout the overall caregiving trajectory.

SIGNIFICANCE OF RESULTS

Findings suggest that in-person contacts should be prioritized and facilitated when possible, particularly at the end of life; nonetheless, meaningful communication can occur also through remote modalities. Investments in training health-care professionals about effective long-distance communication and supportive skills can help trusting relationships to be established. Open discussions about residents' care preferences should be encouraged.

Plasma extracellular vesicles reveal early molecular differences in amyloid positive patients with early-onset mild cognitive impairment

In the clinical course of Alzheimer's disease (AD) development, the dementia phase is commonly preceded by a prodromal AD phase, which is mainly characterized by reaching the highest levels of Aβ and p-tau-mediated neuronal injury and a mild cognitive impairment (MCI) clinical status. Because of that, most AD cases are diagnosed when neuronal damage is already established and irreversible. Therefore, a differential diagnosis of MCI causes in these prodromal stages is one of the greatest challenges for clinicians. Blood biomarkers are emerging as desirable tools for pre-screening purposes, but the current results are still being analyzed and much more data is needed to be implemented in clinical practice. Because of that, plasma extracellular vesicles (pEVs) are gaining popularity as a new source of biomarkers for the early stages of AD development. To identify an exosome proteomics signature linked to prodromal AD, we performed a cross-sectional study in a cohort of early-onset MCI (EOMCI) patients in which 184 biomarkers were measured in pEVs, cerebrospinal fluid (CSF), and plasma samples using multiplex PEA technology of Olink^© proteomics. The obtained results showed that proteins measured in pEVs from EOMCI patients with established amyloidosis correlated with CSF p-tau¹⁸¹ levels, brain ventricle volume changes, brain hyperintensities, and MMSE scores. In addition, the correlations of pEVs proteins with different parameters distinguished between EOMCI Aβ( +) and Aβ(-) patients, whereas the CSF or plasma proteome did not. In conclusion, our findings suggest that pEVs may be able to provide information regarding the initial amyloidotic changes of AD. Circulating exosomes may acquire a pathological protein signature of AD before raw plasma, becoming potential biomarkers for identifying subjects at the earliest stages of AD development.

A Situation-Specific Theory of End-of-Life Communication in Nursing Homes

High-quality end-of-life communication between healthcare professionals (HCPs), patients and/or their family caregivers (FCs) improves quality of life and reduces non-beneficial care at the end of life. Nursing homes (NHs) are among the contexts at the forefront of these conversations. Having a solid theoretical basis for the role of end-of-life communication in NHs in transitioning to palliative-oriented care can offer indications for research, practice, education, and policy related to geropalliative care. This study aimed to develop a situation-specific theory of end-of-life communication in NHs by refining an existing theory. A four-step integrative approach was employed that included: (1) checking the assumptions for theorization; (2) exploring the phenomenon through multiple sources; (3) theorizing; and (4) reporting. All elements of the existing end-of-life communication theory in NHs were confirmed: end-of-life communication improved the understanding of FCs about their relatives' health conditions, shared decision-making, and reflections on the desired preferences of residents/FCs for care at the end of life. Furthermore, the family environment affected the burden of FCs in the decision-making process. Finally, time and resource constraints, regulations, visitation restrictions due to the COVID-19 pandemic, and social and cultural values influenced the quality and timing of communication. The study findings confirmed the impact of the political, historical, social, and cultural context on end-of-life communication, thus providing the basis for a situation-specific theory.

Long-term care use among people living with dementia: a retrospective register-based study from Sweden

BACKGROUND

Although many people with dementia need progressive support during their last years of life little is known to what extent they use formal long-term care (LTC). This study investigates the use of LTC, including residential care and homecare, in the month preceding death, as well as the number of months spent in residential care, among Swedish older decedents with a dementia diagnosis, compared with those without a dementia diagnosis.

METHODOLOGY

This retrospective cohort study identified all people who died in November 2019 in Sweden aged 70 years and older (n = 6294). Dementia diagnoses were collected from the National Patient Register (before death) and the National Cause of Death Register (death certificate). The use of LTC was based on the Social Services Register and sociodemographic factors were provided by Statistics Sweden. We performed regression models (multinomial and linear logistic regression models) to examine the association between the utilization of LTC and the independent variables.

RESULTS

Not only dementia diagnosis but also time spent with the diagnosis was crucial for the use of LTC in the month preceding death, in particular residential care. Three out of four of the decedents with dementia and one fourth of those without dementia lived in a residential care facility in the month preceding death. People who were diagnosed more recently were more likely to use homecare (e.g., diagnosis for 1 year or less: home care 29%, residential care 56%), while the predicted proportion of using residential care increased substantially for those who had lived longer with a diagnosis (e.g., diagnosis for 7 + years: home care 11%, residential care 85%). On average, people with a dementia diagnosis stayed six months longer in residential care, compared with people without a diagnosis.

CONCLUSIONS

People living with dementia use more LTC and spend longer time in residential care than those without dementia. The use of LTC is primarily influenced by the time with a dementia diagnosis. Our study suggests conducting more research to investigate differences between people living with different dementia diagnoses with co-morbidities.

End-of-life care for people with dementia on a green care farm during the COVID-19 pandemic: a qualitative study

OBJECTIVE

Green care farms combine agriculture production with health-related, social and educational services. In the Netherlands, they form an alternative to traditional nursing homes for people with dementia. Green care farms that offer 24-hour care, also offers end-of-life care. To date, little is known about end-of-life care for people with dementia on green care farms. This study aimed to explore the experiences of healthcare workers and family caregivers with end-of-life care for people with dementia who died on a green care farm.

DESIGN

An explorative, descriptive qualitative design with a phenomenological approach.

SETTING AND PARTICIPANTS

A purposive sample of 15 participants - seven healthcare workers and eight family caregivers - from three green care farms in the Netherlands.

METHODS

Semi-structured, in-depth interviews were conducted to explore participants' experiences with end-of-life care, including topics such as advance care planning, the influence of COVID-19, and bereavement support. Transcripts were thematically analysed using Braun and Clarke's approach.

RESULTS

Four main themes were extracted: 1) tailored care and attention for the individual resident, 2) reciprocal care relationships between healthcare workers and family caregivers, 3) compassionate care and support in the dying phase, and 4) the influence of COVID-19 on end-of-life care.

CONCLUSION AND IMPLICATIONS

The overall experience of the healthcare workers and family caregivers was that end-of-life care offered on green care farms is person-centred and compassionate and is tailored to the person with dementia and their family caregivers. Despite the COVID-19 pandemic, healthcare workers and family caregivers were satisfied with end-of-life care on the green care farms. Green care farms may offer a valuable alternative care setting for people with dementia in their last phase of life. More research is needed to investigate green care farms'benefits compared to other, more traditional settings.

Informal care-givers' attitudes towards medical assistance in dying for persons with dementia

Medical assistance in dying (MAID) is legal in Canada but cannot be accessed through an advance request. Some data suggest that informal care-givers of persons with dementia support the legalisation of advance requests for MAID. Opponents argue that care-givers' support is due to society's failure to address their well-documented burden and unmet needs. To our knowledge, this assumption has never been tested. To fill this knowledge gap, we conducted a survey among 204 Canadian informal care-givers of persons with dementia to (a) elicit their attitudes towards allowing no longer competent adults to access MAID through an advance request, and (b) test the hypothesis that attitudes are in part driven by the level of burden experienced by care-givers and unmet needs for support. Attitudes were elicited with a clinical vignette involving a woman with Alzheimer's disease who requests MAID while still competent, or through an advance request for the time after she would lose decisional capacity. Informal care-givers' support for MAID ranged from 60 per cent in the scenario where the person is still competent and likely has several more years to live, to 87 per cent when she is depicted as no longer competent, in severe distress and close to death. Quality-of-life considerations and the value of self-determination were key arguments in support of legalising advance requests for MAID. Using multivariable logistic regression, we found no evidence that burden and unmet support needs influence attitudes towards advance requests for MAID, after controlling for other determinants. These findings contribute new insights into people's attitudes towards the sensitive issue of whether MAID should be extended to persons with dementia-induced decisional incapacity.

How good are medical and death records for identifying dementia?

INTRODUCTION

Retrospective studies using administrative data may be an efficient way to assess risk factors for dementia if diagnostic accuracy is known.

METHODS

Within-individual clinical diagnoses of Alzheimer's disease (AD) and all-cause dementia in ambulatory (outpatient) surgery, inpatient, Medicare administrative records and death certificates were compared with research diagnoses among participants of Cache County Study on Memory, Health, and Aging (CCSMHA) (1995-2008, N = 5092).

RESULTS

Combining all sources of clinical health data increased sensitivity for identifying all-cause dementia (71%) and AD (48%), while maintaining relatively high specificity (81% and 93%, respectively). Medicare claims had the highest sensitivity for case identification (57% and 40%, respectively).

DISCUSSION

Administrative health data may provide a less accurate method than a research evaluation for identifying individuals with dementing disease, but accuracy is improved by combining health data sources. Assessing all-cause dementia versus a specific cause of dementia such as AD will result in increased sensitivity, but at a cost to specificity.

Development of multivariable prediction models for institutionalization and mortality in the full spectrum of Alzheimer’s disease

Background

Patients and caregivers express a desire for accurate prognostic information about time to institutionalization and mortality. Previous studies predicting institutionalization and mortality focused on the dementia stage. However, Alzheimer’s disease (AD) is characterized by a long pre-dementia stage. Therefore, we developed prediction models to predict institutionalization and mortality along the AD continuum of cognitively normal to dementia.

Methods

This study included SCD/MCI patients (subjective cognitive decline (SCD) or mild cognitive impairment (MCI)) and patients with AD dementia from the Amsterdam Dementia Cohort. We developed internally and externally validated prediction models with biomarkers and without biomarkers, stratified by dementia status. Determinants were selected using backward selection (p<0.10). All models included age and sex. Discriminative performance of the models was assessed with Harrell’s C statistics.

Results

We included n=1418 SCD/MCI patients (n=123 died, n=74 were institutionalized) and n=1179 patients with AD dementia (n=413 died, n=453 were institutionalized). For both SCD/MCI and dementia stages, the models for institutionalization and mortality included after backward selection clinical characteristics, imaging, and cerebrospinal fluid (CSF) biomarkers. In SCD/MCI, the Harrell’s C-statistics of the models were 0.81 (model without biomarkers: 0.76) for institutionalization and 0.79 (model without biomarker: 0.76) for mortality. In AD-dementia, the Harrell’s C-statistics of the models were 0.68 (model without biomarkers: 0.67) for institutionalization and 0.65 (model without biomarker: 0.65) for mortality. Models based on data from amyloid-positive patients only had similar discrimination.

Conclusions

We constructed prediction models to predict institutionalization and mortality with good accuracy for SCD/MCI patients and moderate accuracy for patients with AD dementia. The developed prediction models can be used to provide patients and their caregivers with prognostic information on time to institutionalization and mortality along the cognitive continuum of AD.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13195-022-01053-0.

Junior medical doctors' decision making when using advance care directives to guide treatment for people with dementia: a cross-sectional vignette study

Background

Junior medical doctors have a key role in discussions and decisions about treatment and end-of-life care for people with dementia in hospital. Little is known about junior doctors’ decision-making processes when treating people with dementia who have advance care directives (ACDs), or the factors that influence their decisions. To describe among junior doctors in relation to two hypothetical vignettes involving patients with dementia: (1) their legal compliance and decision-making process related to treatment decisions; (2) the factors influencing their clinical decision-making; and (3) the factors associated with accurate responses to one hypothetical vignette.

Method

A cross-sectional survey of junior doctors, including trainees, interns, registrars and residents, on clinical rotation in five public hospitals located in one Australian state. The anonymous, investigator-developed survey was conducted between August 2018 and June 2019. Two hypothetical vignettes describing patients with dementia presenting to hospital with an ACD and either: (1) bacterial pneumonia; or (2) suspected stroke were presented in the survey. Participants were asked to indicate whether they would commence treatment, given the ACD instructions described in each vignette.

Results

Overall, 116 junior doctors responded (35% consent rate). In Vignette 1, 58% of respondents (n = 67/116) selected the legally compliant option (i.e. not commence treatment). Participants who chose the legally compliant option perceived ‘following patient wishes’ (n = 32/67; 48%) and ‘legal requirements to follow ACDs’ (n = 32/67; 48%) as equally important reasons for complying with the ACD. The most common reason for not selecting the legally compliant option in Vignette 1 was the ‘ACD is relevant in my decision-making process, but other factors are more relevant’ (n = 14/37; 38%). In Vignette 2, 72% of respondents (n = 83/116) indicated they would commence treatment (i.e. not follow the ACD) and 18% (n = 21/116) selected they would not commence treatment. (i.e. follow the ACD). Similar reasons influenced participant decision-making in Vignette 2, a less legally certain scenario.

Conclusions

There are critical gaps in junior doctors’ compliance with the law as it relates to the implementation of ACDs. Despite there being differences in relation to the legal answer and its certainty, clinical and ethical factors guided decision-making over and above the law in both vignettes. More education and training to guide junior doctors’ clinical decision-making and ensure compliance with the law is required.

Can dementia become the most prevalent disease at the time of death in Germany? Projections up to the year 2060 for the five most important diseases at the time of death

Data on the burden of disease in the last years of life are an important basis for health policy decisions and the allocation of health care resources. Since dementia is one of the most expensive diseases, we ask the question whether dementia will ever be the most common disease at the time of death in older people? While international cause-of-death statistics report the underlying cause of death, dementia patients generally die from complications or sequelae. Instead of using causes of death, we identified the five most prevalent disease categories at age 70 and older at the time of death using German health claims data from 2004 to 2007 and 2014–2017, and combined their prevalence rates with the estimated number of deaths at age 70 and older up to the year 2060. We developed two scenarios, first, to represent the impact of population aging and increasing life expectancy. Second, to additionally examine the impact of morbidity trends among those who died. We found that dementia was already the most prevalent disease at the time of death among German women aged 70 years and older in 2014–2017, while it was still in fifth place among German men. Population aging and increasing life expectancy will result in dementia ranking first among women and second among men if the morbidity profile at the time of death remains constant. Extrapolating the observed time trends into the projections, cancer will be the most prevalent disease at the time of death for both sexes. Dementia will be second for women, and third for men after IHD. In addition to projections of causes of death, we also need projections of diseases at the time of death to better prepare for the needs of people in their final stages of life.

The Multidimensional Prognostic Index Predicts Mortality in Older Outpatients with Cognitive Decline

Since the heterogeneity of the growing group of older outpatients with cognitive decline, it is challenging to evaluate survival rates in clinical shared decision making. The primary outcome was to determine whether the Multidimensional Prognostic Index (MPI) predicts mortality, whilst assessing the MPI distribution was considered secondary. This retrospective chart review included 311 outpatients aged ≥65 years and diagnosed with dementia or mild cognitive impairment (MCI). The MPI includes several domains of the comprehensive geriatric assessment (CGA). All characteristics and data to calculate the risk score and mortality data were extracted from administrative information in the database of the Alzheimer’s Center and medical records. The study population (mean age 76.8 years, men = 51.4%) was divided as follows: 34.1% belonged to MPI category 1, 52.1% to MPI category 2 and 13.8% to MPI category 3. Patients with dementia have a higher mean MPI risk score than patients with MCI (0.47 vs. 0.32; p < 0.001). The HRs and corresponding 95% CIs for mortality in patients in MPI categories 2 and 3 were 1.67 (0.81−3.45) and 3.80 (1.56−9.24) compared with MPI category 1, respectively. This study shows that the MPI predicts mortality in outpatients with cognitive decline.

Impact of air pollution exposure on the risk of Alzheimer's disease in China: A community-based cohort study

Alzheimer's disease (AD) is the most common type of dementia. Impact of air pollution (AP) on the risk of AD is unclear. It is unknown which air pollutants are independently associated with AD and whether fish consumption mitigated the association. We carried out a community-based cohort of 6115 participants aged ≥60 years in China to examine the association of PM_2.5, PM₁₀, CO, NO₂, SO₂ and O₃ exposure with AD, and differences in the association between people with low and high consumption of fish. The participants were randomly recruited from six counties in Zhejiang province for health survey to document socio-demographic and disease risk factors in 2014, and were followed up to diagnose AD in 2019. A total of 986 cohort members were diagnosed with AD. Based on the daily mean air pollutants monitored in 2013-2015 in the counties, participants were divided into low, middle and high AP exposure groups for subsequent analysis. The multiple adjusted odds ratio (OR) of AD in participants living with the middle and high levels of PM_2.5 exposure versus the low exposure were 1.50 (95% CI 0.90-2.50) and 3.92 (2.09-7.37). The increased ORs were also with PM₁₀ (1.74, 0.65-4.64; 3.00, 1.22-7.41) and CO (2.86, 1.32-6.20; 1.19, 0.45-3.18), but not with NO₂ (0.63, 0.17-2.27; 0.95, 0.28-3.19), SO₂ (0.44, 0.19-1.001; 1.21, 0.56-2.62), and O₃ (0.38, 0.20-0.74; 0.50, 0.21-1.21). There were no significant interaction effects of AP with fish consumption on AD. However, participants with low consumption of fish appeared to have higher ORs in PM_2.5 exposure (1.80, 1.39-2.33; 5.18, 3.93-6.82) than those high consumption (1.38, 0.78-2.47; 2.89, 1.50-5.59). Our findings of PM_2.5, PM₁₀ and CO exposure significantly increased the risk of AD and the potential mitigating effect of fish consumption on the association provide evidence for developing effective strategies for AD reduction and air pollution control.

Occurrence and Timing of Advance Care Planning in Persons With Dementia in General Practice: Analysis of Linked Electronic Health Records and Administrative Data

Background

Advance care planning (ACP) is a process of communication in which patients and family caregivers discuss preferences for future care with the healthcare team. For persons with dementia, it is crucial to timely engage in ACP. Therefore, we study ACP in dementia using electronic health record data. This study aims to determine how often ACP conversations are recorded, analyze time from dementia diagnosis until the first recorded conversation and time from the first recorded conversation to death, and analyze which factors are associated with the timing of ACP.

Methods

Electronic records of 15,493 persons with dementia in Dutch general practice between 2008 and 2016 were linked to national administrative databases. ACP conversations and indicators of health deficits to determine frailty were obtained from electronic records coded with the International Classification of Primary Care. Socio-demographic characteristics were derived from the national population registry managed by Statistics Netherlands. Date of death was derived from the Personal Records Database (2008–2018).

Results

ACP was recorded as such as 22 (95% CI, 20–23) first conversations per 1,000 person-years of follow-up. The hazard ratio (HR) for the first conversation increased every year after dementia diagnosis, from 0.01 in the first year to 0.07 in the 7th and 8th year after diagnosis. Median time from a first conversation to death was 2.57 years (95% CI, 2.31–2.82). Migrant status [non-Western vs. Western (HR 0.31, 95% CI, 0.15–0.65)] was significantly associated with a longer time from dementia diagnosis to the first conversation. Being pre-frail (HR 2.06, 95% CI, 1.58–2.69) or frail (HR 1.40, 95% CI, 1.13–1.73) vs. non-frail was significantly associated with a shorter time from dementia diagnosis to the first ACP conversation.

Conclusion

ACP conversations in Dutch general practice were rare for persons with dementia, or was rarely recorded as such. In particular among persons with a non-Western migration background and those who are non-frail, it started long after diagnosis. We advise further research into public health and practical strategies to engage persons with dementia with a non-Western migration background and non-frail persons early in the disease trajectory in ACP.

Understanding Pain and Agitation Through System Analysis Algorithms in People With Dementia. A Novel Explorative Approach by the DIGI.PAIN Study

Background

Many people with dementia (PwD) live and die with undiagnosed and untreated pain and are no longer able to report their suffering. Several pain assessment tools have been developed, tested, and implemented in clinical practice, but nursing home patients are reported to be still in pain. Clinicians and research groups worldwide are seeking novel approaches to encode the prediction, prevalence, and associations to pain in PwD.

Participants

The data in this analysis are acquired from the COSMOS study, a cluster-randomized controlled trial (2014 to 2015), aimed to improve the quality of life in nursing home patients (N = 723) through the implementation of a multicomponent intervention. We utilize baseline data of PwD (N = 219) with complete datasets of pain and agitation.

Method

Systems analysis explores the relationship between pain and agitation using the Mobilization-Observation-Behavior-Intensity-Dementia (MOBID-2) Pain Scale, Cohen-Mansfield Agitation Inventory (CMAI), and Neuropsychiatric Inventory-Nursing Home version (NPI-NH). For each patient, the individualized continuous time trajectory, and rates of change of pain and agitation are estimated. We determine the relationship between these rates by analyzing them across the entire group.

Results

We found that the new analysis method can generate individualized estimations for pain and agitation evolution for PwD, as well as their relationship. For 189 of 219 PwD, results show that whenever pain increases or decreases, agitation does too, with the same rate. The method also identifies PwD for whom pain or agitation remains constant while the other varies over time, and patients for whom agitation and pain do not change together. The algorithm is scalable to other variables and compatible with wearable devices and digital sensors.

Conclusion

We presented a new approach to clinical data analysis using systems concepts and algorithms. We found that it is possible to quantify and visualize relationships between variables with a precision only dependent on the precision of measurements. This method should be further validated, but incipient results show great potential, especially for wearable-generated continuous data.

Potential determinants of unfavourable healthcare utilisation trajectories during the last year of life of people with incident Alzheimer Disease or Related Syndromes: a nationwide cohort study using administrative data

BACKGROUND

people approaching the end-of-life frequently face inappropriate care. With Alzheimer Disease or Related Syndromes (ADRS), end-of-life is characterised by progressive decline, but this period remains difficult to identify. This leads to a lack of anticipation and sometimes with unfavourable healthcare utilisation trajectories (HUTs).

OBJECTIVE

to quantify unfavourable HUTs during the last year of life and identify their potential determinants in both community and nursing-home settings.

DESIGN

nationwide cohort study using administrative database.

SETTING

French community and nursing-home residents.

SUBJECTS

incident ADRS people identified in 2012, who died up to 31 December 2017.

METHODS

we used multidimensional clustering to identify 15 clusters of HUTs, using 11 longitudinal healthcare dimensions during the last year of life. Clusters were qualitatively assessed by pluri-disciplinary experts as favourable or unfavourable HUTs. Individual and contextual potential determinants of unfavourable HUTs were studied by setting using logistic random-effect regression models.

RESULTS

62,243 individuals died before 31 December 2017; 46.8% faced unfavourable end-of-life HUTs: 55.2% in the community and 31.8% in nursing-homes. Individual potential determinants were identified: younger age, male gender, ADRS identification through hospitalisation, shorter survival, life-limiting comorbidities, psychiatric disorders, acute hospitalisations and polypharmacy. In the community, deprivation and autonomy were identified as potential determinants. Contextual potential determinants raised mostly in the community, such as low nurse or physiotherapist accessibilities.

CONCLUSIONS

Nearly half of people with ADRS faced unfavourable HUTs during their last year of life. Individual potential determinants should help anticipate advance care planning and palliative care needs assessment. Contextual potential determinants suggest geographical disparities and health inequalities.

Palliative care for patients with advanced dementia

ABSTRACT

Dementia is currently the seventh leading cause of death and one of the major causes of disability and dependency among older adults globally. Its final stages are complicated by a multitude of problems that can cause immense suffering. This article explores the interconnection between advanced dementia and palliative care and the role of nurses in providing end-of-life care for these patients.

Palliative Care and Dementia: What All Advanced Practice Nurses Should Know

Dementia is a progressive, incurable condition that causes limitations in life and should be recognized as a life-limiting condition. Health care professionals should understand its trajectory to better manage symptoms and to provide early and ongoing advance care planning. Advanced practice registered nurses are uniquely qualified to work with patients and their families to identify care preferences and then to align treatments to them. Palliative care and hospice are important interventions that should be integrated into the management of patients with dementia. Additionally, early integration of palliative medicine can better manage symptoms and lessen the strain on loved ones.

The influence of primary care quality on nursing home admissions in a multimorbid population with and without dementia in Germany: a retrospective cohort study using health insurance claims data

Background

Multimorbidity poses a challenge for high quality primary care provision for nursing care-dependent people with (PWD) and without (PWOD) dementia. Evidence on the association of primary care quality of multimorbid PWD and PWOD with the event of a nursing home admission (NHA) is missing. This study aimed to investigate the contribution of individual quality of primary care for chronic diseases in multimorbid care-dependent PWD and PWOD on the duration of ongoing residence at home before the occurrence of NHA.

Methods

We conducted a retrospective cohort study among elderly care-dependent PWD and PWOD in Germany for six combinations of chronic diseases using statutory health insurance claims data (2007–2016). Primary care quality was measured by 21 process and outcome indicators for hypertension, diabetes, depression, chronic obstructive pulmonary disease and heart failure. The primary outcome was time to NHA after initial onset of care-dependency. Multivariable Cox proportional hazard models were used to compare the time-to-event between PWD and PWOD.

Results

Among 5876 PWD and 12,837 PWOD 5130 NHA occurred. With the highest proportion of NHA for PWD with hypertension and depression and for PWOD with hypertension, diabetes and depression. Average duration until NHA ranged from 6.5 to 8.9 quarters for PWD and from 9.6 to 13.5 quarters for PWOD. Adjusted analyses show consistent associations of the quality of diabetes care with the duration of remaining in one’s own home regardless of the presence of dementia. Process indicators assessing guideline-fidelity are associated with remaining in one’s home longer, while indicators assessing complications, such as emergency inpatient treatment (HR = 2.67, 95% CI 1.99–3.60 PWD; HR = 2.81, 95% CI 2.28–3.47 PWOD) or lower-limb amputation (HR = 3.10, 95% CI 1.78–5.55 PWD; HR = 2.81, 95% CI 1.94–4.08 PWOD) in PWD and PWOD with hypertension and diabetes, increase the risk of NHA.

Conclusions

The quality of primary care provided to care-dependent multimorbid PWD and POWD, influences the time individuals spend living in their own homes after onset of care-dependency before a NHA. Health care professionals should consider possibilities and barriers of guideline-based, coordinated care for multimorbid care-dependent people. Further research on quality indicator sets that acknowledge the complexity of care for multimorbid elderly populations is needed.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-021-02731-8.

Lack of Any Caregiving for Those with Dementia

Older adults with significant cognitive impairment require help with activities of daily living. The BASIC-Cognitive Project, set in Nueces County, Texas, is a community-based study examining trends in cognition among Mexican Americans and non-Hispanic Whites. Using cross-sectional data from a cohort study, we found that at least 7% of individuals aged 65 and older with a Montreal Cognitive Assessment (MoCA) score of < 20 (or < 15 for telephone MoCA), did not receive any caregiving help. This conservative estimate highlights an important community need for those with significant cognitive impairment and has implications regarding safety and care for older adults.

Trends in quality of care and dying perceived by family caregivers of nursing home residents with dementia 2005-2019

BACKGROUND

Dementia palliative care is increasingly subject of research and practice improvement initiatives.

AIM

To assess any changes over time in the evaluation of quality of care and quality of dying with dementia by family caregivers.

DESIGN

Combined analysis of eight studies with bereaved family caregivers' evaluations 2005-2019.

SETTING/PARTICIPANTS

Family caregivers of nursing home residents with dementia in the Netherlands (n = 1189) completed the End-of-Life in Dementia Satisfaction With Care (EOLD-SWC; quality of care) and Comfort Assessment in Dying (EOLD-CAD, four subscales; quality of dying) instruments. Changes in scores over time were analysed using mixed models with random effects for season and facility and adjustment for demographics, prospective design and urbanised region.

RESULTS

The mean total EOLD-SWC score was 33.40 (SD 5.08) and increased by 0.148 points per year (95% CI, 0.052-0.244; adjusted 0.170 points 95% CI, 0.055-0.258). The mean total EOLD-CAD score was 30.80 (SD 5.76) and, unadjusted, there was a trend of decreasing quality of dying over time of -0.175 points (95% CI, -0.291 to -0.058) per year increment. With adjustment, the trend was not significant (-0.070 EOLD-CAD total score points, 95% CI, -0.205 to 0.065) and only the EOLD-CAD subscale 'Well being' decreased.

CONCLUSION

We identified divergent trends over 14 years of increased quality of care, while quality of dying did not increase and well-being in dying decreased. Further research is needed on what well-being in dying means to family. Quality improvement requires continued efforts to treat symptoms in dying with dementia.

Caring for a Relative with Dementia: Determinants and Gender Differences of Caregiver Burden in the Rural Setting

Dementia is a progressive disease that puts substantial strain on caregivers. Many persons with dementia (PwDs) receive care from a relative. Since male and female caregivers experience different issues related to stress, it is important to meet their different needs to prevent the early nursing home placement of PwDs. This study investigated the multifactorial aspects of caregiver burden and explored gender differences in caregiver burden in a rural setting. This was a cross sectional study that administered anonymous questionnaires to family caregivers of PwDs. Caregiver burden was assessed using the Burden Scale for Family Caregivers-short version. A path model was used to determine the multivariate associations between the variables. To reflect the multifaceted aspects of caregiver burden, we used Pearlin's model with its four dimensions. A total of 113 family caregivers responded to our survey. The overall burden of caregivers was moderate. According to the path model, gender differences were predictors of caregiver burden. The behaviour of the person with dementia and cohabitation had direct effects on caregiver burden. Our results suggest that the experiences of men and women caring for a PwD are different and highlight the need for tailored support in dementia care.

Factors Leading to Institutionalization among the Oldest Old: Longitudinal Findings from the AgeCoDe-AgeQualiDe Study

INTRODUCTION

Due to the strong association between old age and the need for long-term care, the number of individuals in need for care is projected to increase noticeably. The aim of this study was to examine the determinants of institutionalization among the oldest old longitudinally.

METHODS

Longitudinal data (follow-up [FU] wave 7-9) were gathered from a multicenter prospective cohort study ("Study on needs, health service use, costs and health-related quality of life in a large sample of oldest old primary care patients [85+]," AgeQualiDe). At FU wave 7, in 2014, complete measures were available for 763 individuals. The average age was 88.9 (standard deviation 2.9) years (range 85-100), and 68% were female. Sociodemographic and health-related independent variables (e.g., depressive symptoms or functioning) were included in the regression model. Institutionalization (admission to assisted living home or nursing home) was used as an outcome measure. Logistic random-effects models were used.

RESULTS

Regressions revealed that among oldest old, the odds of being institutionalized were lower for men (odds ratio [OR] = 0.03; 95% confidence interval [CI] 0.00-0.16). Institutionalization was associated with an increased age (OR = 1.27; 95% CI 1.04-1.55). Additionally, widowed individuals (ref. non-widowed) had higher odds of being institutionalized (OR = 8.95; 95% CI 1.61-49.81). Institutionalization was also associated with functional decline (OR = 0.16; 95% CI 0.11-0.23), whereas it was not significantly associated with cognitive decline, depressive symptoms, and social support.

CONCLUSION

Our findings stress the importance of gender, age, widowhood, and functional decline for institutionalization among the oldest old. Preventing or at least postponing functional decline might help to delay institutionalization as far as possible.

Dementia and Parkinson's Disease: Risk Factors for 30-Day Mortality in Nursing Home Residents with COVID-19

Background:

The COVID-19 pandemic has led to high mortality rates in nursing homes (NHs) in Europe. For adequate risk management and good prognostications, it is essential to identify mortality risk factors.

Objective:

This study aimed to determine whether previously identified risk factors for 30-day mortality in Dutch NH residents with COVID-19 are unique to COVID-19.

Methods:

In this cohort study, we included 1,294 NH residents with COVID-19 (cases) and 17,999 NH residents without COVID-19 (controls, from the pre-COVID-19 period). We used descriptive statistics and Cox proportional hazard models to compare mortality rates in residents with and without COVID-19, categorized by risk factors.

Results:

Cases had a more than 18 times higher hazard of death within 30 days compared to controls (HR 18, 95%CI: 16–20). For residents with COVID-19, being male, having dementia, and having Parkinson’s disease (PD) were all associated with a higher 30-day mortality (HR 1.8 versus 1.3 versus 1.7). Being male was also associated with a higher mortality (HR 1.7) in the control group, whereas having dementia and PD were not. COVID-19 symptomatology was very similar for residents with and without dementia or PD, except for delirium and malaise which was more frequent in residents with dementia.

Conclusion:

Dementia and PD were significant additional risk factors for mortality in Dutch NH residents with COVID-19, whereas male gender was not unique to residents with COVID-19. The frailty of PD and dementia in NH residents with COVID-19 are relevant to consider in prognostication, communication, and care planning with residents and their families.

Caring for Patients With Dementia at End of Life

Care of the dementia patient continues to be challenging. It is a terminal condition that many times goes undiagnosed leading to improper evidence-based interventions. Healthcare professionals (HCPs) should initiate goals of care conversations early with patients and their families in order to align treatment preferences. Early integration of palliative medicine is an important intervention that can lead to better manage symptoms and lessen the strain on loved ones. Additionally, early enrollment into hospice should be encouraged with loved ones to promote quality of life as defined by the patient.

Japanese National Dementia Plan Is Associated with a Small Shift in Location of Death: An Interrupted Time Series Analysis

Background:

Japan has one of the highest percentages of persons with dementia and hospital deaths in the world. Hospitals are often not equipped to handle the care complexity required for persons with dementia at the end of life. The National Dementia Orange plan aimed to decrease hospital deaths by expanding time in the community.

Objective:

The aim of this study is to evaluate whether the National Dementia Orange Plan is associated with a decrease in hospitals deaths for persons with dementia.

Methods:

We used quarterly, cross-sectional, national death certificate data consisting of the total Japanese dementia population 65 years and older, spanning a period from 2009 to 2016. The primary outcome was quarterly adjusted relative risk rates (aRRR) of dying in hospital, nursing home, home, or elsewhere. An interrupted time series analysis was performed to study the slope change over time. Analyses were adjusted for sex and seasonality.

Results:

149,638 died with dementia. With the implementation of the Orange Plan, death in nursing home (aRRR 1.08, [1.07–1.08], p < 0.001) and elsewhere (aRRR 1.05, [1.05–1.06], p < 0.001) increased over time compared to hospital death. No changes were found in death at home.

Conclusion:

This study provides evidence that the National Dementia Orange plan was associated with a small increase in death in nursing home and elsewhere. Hospital death remained the primary location of death. End-of-life strategies should be expanded in national dementia policies to increase aging in the community until death.

Hospital Deaths Increased After Reforms Regardless of Dementia Status: An Interrupted Time-Series Analysis

OBJECTIVES

Dying in a hospital is highly stressful for older adults and families. Persons with dementia who are hospitalized are particularly vulnerable to negative outcomes. The objective of this study is to fill an evidence gap on whether the 2015 Dutch long-term care reforms were effective in increasing deaths at home while avoiding increases in hospital deaths for the total population aged ≥65 years and by dementia status.

DESIGN

We used annual cross-sectional, nationally representative data from 2012 to 2017. We performed an interrupted time-series analyses to evaluate changes in location of death after the implementation of the Dutch long-term reforms.

SETTING AND PARTICIPANTS

Dutch population aged ≥65 years (N = 727,519) who died between 2012 and 2017 using data from Statistics Netherlands.

METHODS

The primary outcome was death in a long-term care facility (LTCF), home, hospital, or elsewhere.

RESULTS

After adjusting for seasonality and sex, we found significantly increased adjusted relative risk ratios (aRRRs) for the total older adult population having a death at home [aRRR 1.17, 95% confidence interval (CI) 1.12.-1.23] and hospital (1.09, 1.04-1.15) compared to deaths in an LTCF after the reforms. For persons with dementia (N = 81,373), hospital deaths increased (2.03, 1.37-3.01) compared with long-term care deaths after the implementation of the long-term care reforms; however, there was no change in the aRRR for death at home. For people without dementia (N = 646,146), we found increased aRRR for death at home (1.21, 1.16-1.28) and death at hospital (1.12, 1.07-1.19) vs LTCF deaths following the reforms.

CONCLUSIONS AND IMPLICATIONS

Hospital and home deaths increased for the total population. Hospital deaths increased for persons with dementia after the long-term care reforms despite evidence of negative outcomes associated with end-of-life hospitalizations. The Netherlands may have overlooked the merits of home care and LTCFs, particularly for people with dementia.

Time from dementia diagnosis to nursing-home admission and death among persons with dementia: A multistate survival analysis

Objectives

To estimate transition times from dementia diagnosis to nursing-home (NH) admission or death and to examine whether sex, education, marital status, level of cognitive impairment and dementia aetiology are associated with transition times.

Design

Markov multistate survival analysis and flexible parametric models.

Setting

Participants were recruited from the Norwegian Registry of Persons Assessed for Cognitive Symptoms (NorCog) in specialist healthcare between 2008 and 2017 and followed until August 2019, a maximum of 10.6 years follow-up time (mean 4.4 years, SD 2.2). Participants’ address histories, emigration and vital status were retrieved from the National Population Registry from time of diagnosis and linked to NorCog clinical data.

Participants

2,938 home-dwelling persons with dementia, ages 40–97 years at time of diagnosis (mean 76.1, SD 8.5).

Results

During follow-up, 992 persons (34%) were admitted to nursing-homes (NHs) and 1,556 (53%) died. Approximately four years after diagnosis, the probability of living in a NH peaked at 19%; thereafter, the probability decreased due to mortality. Median elapsed time from dementia diagnosis to NH admission among those admitted to NHs was 2.28 years (IQR 2.32). The probability of NH admission was greater for women than men due to women´s lower mortality rate. Persons living alone, particularly men, had a higher probability of NH admission than cohabitants. Age, dementia aetiology and severity of cognitive impairment at time of diagnosis did not influence the probability of NH admission. Those with fewer than 10 years of education had a lower probability of NH admission than those with 10 years or more, and this was independent of the excess mortality in the less-educated group.

Conclusion

Four years after diagnosis, half of the participants still lived at home, while NH residency peaked at 19%. Those with fewer than 10 years of education were less often admitted to NH.

Time from diagnosis to institutionalization and death in people with dementia

INTRODUCTION

Reliable estimates of time from diagnosis until institutionalization and death in people with dementia from routine nationally representative databases are lacking.

METHODS

We selected 9230 people with dementia and 24,624 matched controls from family physicians' electronic records linked with national administrative databases to analyze time until institutionalization and death and associated factors.

RESULTS

Median time from recorded diagnosis until institutionalization and until death for people with dementia was 3.9 and 5.0 years, respectively, which was considerably shorter than for controls. Once institutionalized, median time to death was longer for persons with dementia (2.5 years) than for controls (1.2 years). Older age and receiving home care were the strongest predictors of shorter time until institutionalization and death in people with dementia. Gender, cohabitation, migration status, frailty, polypharmacy, and dementia medication were other significant factors.

DISCUSSION

The estimates could help to inform patients, their families, and policymakers about probable trajectories.