Dementia is a globally growing problem, which is putting pressure on public services, including those in Nordic countries, to offer care to everyone in need. Contemporary approaches to dementia care are evolving from institutional and medical solutions to more human-centred, community-based, and emotion-oriented, which positively impacts the well-being of persons with dementia. Principles of ageing-in-place and the benefits of living at home are strongly emphasised in research. Although cognitive health and memories are associated with the physical environment and architecture and design can play a powerful role in supporting independent living, public system in Finland remains traditional, focused on providing institutional care. Architecture drives the care system and acts as a barrier to delivering ageing-in-place rather than a resource. The architectural and service models for serving seniors with dementia require transformation. This article proposes applying the emerging concept of service architecture to the design of environments for ageing-in-place and transforming care systems with a user-centred systemic approach to spaces, community, and service design. It explores opportunities for co-creation with users with dementia and other stakeholders and describes a new system of services linked with new spatial programming. The architectural solution is a network of spaces, including those for living, care, and connection. Its elements and their design were defined through case studies conducted in Finnish municipalities involved in research. New spatial and service programming, designed with the service architecture concept, has the potential to change the paradigm, transform systems of care, and enable seniors experiencing memory decline to remain in their homes.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.3233/SHTI240970 | DOI Listing |
Alzheimers Dement
December 2024
Alzheimer's Disease Neuroimaging Initiative, http://adni.loni.usc.edu/, CA, USA.
Background: Assessing tau accumulation in early affected areas like the lateral entorhinal cortex (EC) and inferior temporal gyrus (ITG) enables early prediction of disease progression and cognitive decline. However, positron emission tomography (PET) imaging poses radiation exposure and cost concerns. This research aims to develop a deep learning model predicting tau positivity in these regions using MRI.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
The Jackson Laboratory, Bar Harbor, ME, USA.
Background: The genetic etiology of late-onset Alzheimer's disease (LOAD) is complex, with over 75 identified loci contributing to disease risk. Recent efforts of the MODEL-AD consortia have yielded several dozen mouse strains harboring variation designed to model LOAD risk alleles. Given the complex genetic architecture of LOAD, developing animal models that combine multiple risk alleles is likely essential to improving the fidelity of these models to human disease.
View Article and Find Full Text PDFFront Digit Health
December 2024
Department of Health Technologies, TalTech, Tallinn, Estonia.
Introduction: Ecosystem-centered healthcare innovations, such as digital health platforms, patient-centric records, and mobile health applications, depend on the semantic interoperability of health data. This ensures efficient, patient-focused healthcare delivery in a mobile world where citizens frequently travel for work and leisure. Beyond healthcare delivery, semantic interoperability is crucial for secondary health data use.
View Article and Find Full Text PDFInt J Health Plann Manage
January 2025
Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, UK.
Health care is changing rapidly. Hospitals are, and will remain, an essential setting to deliver it. We discuss how to maximise the benefits of hospitals in the future in different geographic and health system settings, highlighting a series of cross-cutting issues.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Horticulture, Karaj Branch, Islamic Azad University, Karaj, Iran.
In maize breeding, enhancing yield through genetic insights is crucial yet challenged by the complex interplay of agronomic traits. This study utilized a diallel mating design involving nine advanced early maize lines to dissect the genetic architecture underlying key agronomic traits and their impact on yield. Over two consecutive years (2018-2019 and 2019-2020), 36 hybrids derived from these lines were grown across two locations, Karaj, Alborz, Iran and Kermanshah (2019-2020), Iran, in a randomized complete block design with three replications.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!