Co-designing with people with dementia (PwD) can uncover their needs and preferences, which have been often overlooked. It is difficult for PwD to understand designers and express themselves in a conventional co-design session. This study aims to evaluate the effects of involving PwD in design research on both PwD and the design process; to identify the trends of involving PwD in design research; to extract tools, recommendations, and limitations of involving PwD from reviewed studies to update the recommendations on how to co-design with PwD. A scoping review was carried out within the electronic databases PubMed and Scopus, and eight research questions were proposed, in order to gain specific knowledge on the involvement of PwD in design research. Twenty-six studies met the inclusion criteria, and 32 sessions were evaluated. Beneficial effects on both PwD and the design process were reported. The number of studies involving PwD in the moderate and severe stages of dementia has increased. Based on the review, an update of the existing tools and recommendations for co-designing with PwD is provided and a list of limitations of involving PwD is presented. The review shows that involving PwD in design research is beneficial for both the PwD and the design process, and there is a shift towards involving people who are in the moderate and severe stages of dementia. The authors propose that multidisciplinary meetings and case studies should be carried out to evaluate and refine the list of tools and recommendations as well as the list of limitations generated in this review.

Non-pharmacological interventions for Behavioral and Psychological Symptoms of Dementia (BPSD) have been developed; however, a systematic review on the effectiveness of this type of intervention from a perspective of ergonomics is lacking. According to ergonomics, the capabilities of Persons with Dementia (PwD) should be considered in the interventions for the outcomes to be reliable. We aimed to systematically review the non-pharmacological interventions for BPSD in nursing home residents with an additional assessment criterion based on ergonomics, specifically, capability consideration. The electronic databases MEDLINE, EMBASE, and PsycINFO were searched for non-pharmacological interventions treating BPSD in nursing homes. The interventions were categorized according to the capabilities of PwD required to participate. Study quality was assessed by National Health and Medical Research Council (NHMRC) evidence hierarchy and the capability consideration. Sixty-four clinical trials met the inclusion criteria; 41 trials reported a significant reduction in at least one BPSD symptom; 20 trials reported no significant reduction in BPSD symptoms; three trials reported adverse effects after the intervention. Interventions were categorized into sensory-, cognition-, and movement-oriented. Capabilities of PwD were not considered in 28 trials, especially for sensory capabilities. The majority of the clinical trials reported a significant reduction in BPSD. The quality of evidence for nonpharmacological interventions in these trials is low due to the lack of capability consideration, data inhomogeneity, and inadequate study design and reporting. Future studies should focus on improving the quality of evidence by including capability consideration and examining if a relationship between capability consideration and effectiveness of non-pharmacological interventions exists.

Background: While community-level interventions for promoting active ageing have received increasing attention and there is a trend to leverage technology to support traditional physical or social interventions, little hands-on guidance exists for designing these integral interventions. This study aimed to examine the interventions reported in the literature guided by Community-Based Participatory Research (CBPR) principles. The goal is to extract insights that inform future practices in co-designing integral interventions for active ageing. Methods: The systematic review focused on community-level interventions promoting active ageing that integrated physical, social, and digital elements, i.e., integral interventions. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed. The included interventions were analysed abductively based on the CBPR principles. Results: A total of 13 studies were included, and 24 design considerations were generated under eight categories. Further reflection identified the interrelated nature of these design considerations and pinpointed the gaps in current research. This study highlights the urgency and importance of sharing recruitment methods and resource allocation details, recording and reporting collaboration specifics, and disseminating findings to stakeholders beyond academia. Conclusions: This study offers valuable insights and practical guidance to researchers and practitioners developing community-level integral interventions for active ageing. The findings also serve as a starting point for accumulating knowledge and practice in co-designing integral interventions for active ageing at the community level. The next crucial phase involves evaluating these design considerations within real-world cases to assess their applicability and identify potential areas for improvement.

Background and Objectives: Researchers from different fields are increasingly interested in incorporating technology into community-based interventions that promote active aging. Yet, there lacks a comprehensive understanding of technology roles, posing challenges for designers seeking to maximize the intended impacts of such interventions. This systematic review aims to fill the gap by examining existing community-based interventions that integrate digital technologies to promote active aging. Research Design and Methods: Thirteen studies were screened, with a total of 14 interventions examined, following the PRISMA Guideline. Results: The challenges in designing and operating community-based interventions, the roles of technology in the interventions, and the caveats of utilizing technology during the process were identified. The review emphasizes the importance of overcoming challenges in community-based interventions and leveraging technology to enhance the intended impacts. Discussion and Implications: The findings underscore the need to understand technology’s nuanced roles in community-based interventions for active aging. The article provides a starting point for accumulating knowledge and practice in utilizing technology to navigate the challenges and opportunities encountered in such interventions. It also sheds light on a notable gap: the lack of innovative and strategic approaches that harness digital interventions appropriately in community-based interventions. This emphasizes a crucial requirement for guidelines to assist designers, policymakers, and community staff in integrating technology appropriately into community-based interventions or implementing interventions that incorporate digital technologies at the community level.

Background: Care personalization is key to the well-being of people with dementia according to person-centered care. With the development of the internet of things, a large quantity of personal data can be collected securely and reliably, which has the potential to facilitate care personalization for people with dementia. Yet, there are limited assistive technologies developed for this purpose, and the user acceptance of assistive technologies is low in nursing homes. Therefore, through a data-enabled design approach, a digital platform was developed for helping the care team in a nursing home to personalize dementia care, specifically in the management of behavioral and psychological dementia symptoms. Objective: This study aimed to evaluate the digital platform in a real-life context with potential users from the following two aspects: (1) to explore if the digital platform could help with generating insights on the current state of each person with dementia and (2) to gather feedback on the digital platform from the care team. Methods: The digital platform was deployed in the nursing home for 7 weeks and the data collected were visualized and presented to the care team via the digital platform. The visualizations were analyzed by the researchers for pattern detection. Meanwhile, the care team was asked to examine the visualizations and were interviewed for the following: (1) if any insights and actions were generated from the examination, (2) the usefulness of the digital platform, and (3) the improvements they would like to see. Results: The data collected on the digital platform demonstrated its potential for pattern detection. Insights were generated by the care team and categorized into “client level,” “ward level,” and “team level.” The corresponding actions taken by the care team were classified into “investigation” and “implementation.” User acceptance varied across the care team, and three aspects of improvement for the digital platform were identified. Conclusions: By evaluating the digital platform, this study gained insights on applying data-enabled design for personalizing dementia care; besides, it offers future researchers some recommendations on how to integrate assistive technologies in the nursing home context.

Personalisation is a crucial element in providing person-centred care for people with dementia. This paper presents the development and evaluation of a design toolkit to facilitate the work of designers and healthcare professionals in personalising dementia care. This toolkit, named “Know-me”, was grounded in the findings of Ergonomics in Aging, Co-design, and Data-enabled Design, derived from literature review and from the field during a four-year doctorate project. “Know-me” was designed to be easily accessible, flexible, and engaging, providing concrete and hands-on guidance for designers and healthcare professionals to use in designing for personalised dementia care. A proof-of-concept evaluation of the “Know-me” toolkit was conducted via student projects on design for dementia care. During this process, we found that “Know-me” could be adapted flexibly so that the care team could use some of the tools by themselves. A feature-by-feature comparison of the “Know-me” toolkit with similar state-of-the-art toolkits was conducted, and based upon this, the strengths and weaknesses of the “Know-me” toolkit are discussed. This preliminary study indicates that the “Know-me” toolkit is a helpful addition to the current pool of toolkits on designing for dementia care.