The landscape of inequalities in dementia across Europe: First insights from the INTERDEM taskforce.

BACKGROUND: Getting a diagnosis of dementia does not equate to equitable access to care. People with dementia and unpaid carers face many barriers to care, which can vary within, and across, different countries and cultures. With little evidence across different countries, the aim of this scoping exercise was to identify the different and similar types of inequalities in dementia across Europe, and provide recommendations for addressing these. METHODS: We conducted a brief online survey with INTERDEM and INTERDEM Academy members across Europe, and with members of Alzheimer Europe's European Working Group of People with Dementia and Carers in February and March 2023. Members were asked about whether inequalities in dementia care existed within their country; if yes, to highlight three key inequalities. Responses on barriers were coded into groups, and frequencies of inequalities were calculated. Highlighted inequalities were discussed and prioritised at face-to-face and virtual consensus meetings in England, Ireland, Italy, and Poland, involving people with dementia, unpaid carers, health and social care providers, and non-profit organisations. RESULTS: Forty-nine academics, PhD students, people with dementia and unpaid carers from 10 countries (Belgium, Denmark, Germany, Greece, Ireland, Italy, Poland, Malta, Netherlands, UK) completed the survey. The most frequently identified inequalities focused on unawareness and lack of information, higher level system issues (i.e. lack of communication among care professionals), lack of service suitability, and stigma. Other barriers included workforce training and knowledge, financial costs, culture and language, lack of single-point-of-contact person, age, and living location/postcode lottery. There was general consensus among people living dementia and care providers of unawareness as a key barrier in different European countries, with varied priorities in Ireland depending on geographical location. CONCLUSIONS: These findings provide a first insight on dementia inequalities across Europe, generate cross-country learnings on how to address these inequalities in dementia, and can underpin further solution-focused research that informs policy and key decision makers to implement changes.

Intersectionality and its relevance for research in dementia care of people with a migration background.

BACKGROUND: Despite the care and support needs of migrants affected by dementia differing from the population of the country where they live now, most European countries do not provide specific strategies to address migration in their national dementia plans. The concept of intersectionality provides an innovative approach to dementia care perspectives and methodologies. OBJECTIVE: The aim is to define intersectionality and to provide examples of applying the concept to dementia care research, focusing on people with a migration background. METHODS: This article was conceptualized and discussed during virtual INTERDEM taskforce meetings in 2020/2021, while discussing identified literature on intersectionality, migration, and dementia care research. RESULTS: Using an intersectionality framework allows understanding of a person's lived experience by considering the dimensionality, co-occurrence and interlocking of factors (e.g., sex/gender, socioeconomic status, ethnicity, migration status, geographic location/place). CONCLUSION: Intersectionality can be applied as a conceptual and methodological approach to identify and address gaps in perspectives and in (dementia care) research to overcome the threat of ignorance, exclusion and discrimination.

Sociodemographic aspects and health care-related outcomes: a latent class analysis of informal dementia care dyads.

BACKGROUND: Studies revealed the importance to assess dementia care dyads, composed of persons with dementia and their primary informal caregivers, in a differentiated way and to tailor support services to particular living and care circumstances. Therefore, this study aims first to identify classes of dementia care dyads that differ according to sociodemographic, care-related and dementia-specific characteristics and second, to compare these classes with regard to healthcare-related outcomes. METHODS: We used data from the cross-sectional German DemNet-D study (n = 551) and conducted a latent class analysis to investigate different classes of dementia care dyads. In addition, we compared these classes with regard to the use of health care services, caregiver burden (BIZA-D), general health of the informal caregiver (EQ-VAS) as well as quality of life (QoL-AD) and social participation (SACA) of the person with dementia. Furthermore, we compared the stability of the home-based care arrangements. RESULTS: Six different classes of dementia care dyads were identified, based on best Bayesian Information Criterion (BIC), significant likelihood ratio test (p <  0.001), high entropy (0.87) and substantive interpretability. Classes were labelled as "adult child parent relationship & younger informal caregiver", "adult child parent relationship & middle aged informal caregiver", "non family relationship & younger informal caregiver", "couple & male informal caregiver of older age", "couple & female informal caregiver of older age", "couple & younger informal caregiver". The classes showed significant differences regarding health care service use. Caregiver burden, quality of life of the person with dementia and stability of the care arrangement differed also significantly between the classes. CONCLUSION: Based on a latent class analysis this study indicates differences between classes of informal dementia care dyads. The findings may give direction for better tailoring of support services to particular circumstances to improve healthcare-related outcomes of persons with dementia and informal caregivers.

Putting primary prevention of dementia on everybody's agenda.

Many publications on dementia start by outlining the current estimated number of people with dementia and how that figure is going to double (in Western societies) or even quadruple (in developing countries) in the coming decades as a result of increasing life expectancy (in itself a good development). Dementia is therefore a huge challenge to society, both in terms of providing good care for persons living with dementia and their family caregivers, as well as in searching for curative solutions. Both these challenges are complex. Fortunately, recent research indicates primary prevention to be a promising additional strategy in the dementia quest. Now that epidemiological research robustly shows the link between lifestyle and risk of dementia, new challenges emerge, such as how to increase public awareness about brain health, how to develop and implement strategies to promote brain healthy lifestyles and how to avoid increasing health inequalities. Interdem, the pan-European network of researchers on Psychosocial Interventions in Dementia, strongly welcomes this new strategy and consequently established a taskforce on primary prevention. In this position paper, we outline what we see as main building blocks of primary prevention of dementia.

Multicenter Resting State Functional Connectivity in Prodromal and Dementia Stages of Alzheimer's Disease.

BACKGROUND: Alterations of intrinsic networks from resting state fMRI (rs-fMRI) have been suggested as functional biomarkers of Alzheimer's disease (AD). OBJECTIVE: To determine the diagnostic accuracy of multicenter rs-fMRI for prodromal and preclinical stages of AD. METHODS: We determined rs-fMRI functional connectivity based on Pearson's correlation coefficients and amplitude of low-frequency fluctuation in people with subjective cognitive decline, people with mild cognitive impairment, and people with AD dementia compared with healthy controls. We used data of 247 participants of the prospective DELCODE study, a longitudinal multicenter observational study, imposing a unified fMRI acquisition protocol across sites. We determined cross-validated discrimination accuracy based on penalized logistic regression to account for multicollinearity of predictors. RESULTS: Resting state functional connectivity reached significant cross-validated group discrimination only for the comparison of AD dementia cases with healthy controls, but not for the other diagnostic groups. AD dementia cases showed alterations in a large range of intrinsic resting state networks, including the default mode and salience networks, but also executive and language networks. When groups were stratified according to their CSF amyloid status that was available in a subset of cases, diagnostic accuracy was increased for amyloid positive mild cognitive impairment cases compared with amyloid negative controls, but still inferior to the accuracy of hippocampus volume. CONCLUSION: Even when following a strictly harmonized data acquisition protocol and rigorous scan quality control, widely used connectivity measures of multicenter rs-fMRI do not reach levels of diagnostic accuracy sufficient for a useful biomarker in prodromal stages of AD.