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Background: Immersive technologies like virtual reality can enable clinical care that meaningfully aligns with real-world deficits in cognitive functioning. However, options in immersive 3D environments are limited, partly because of the unique challenges presented by the development of a clinical care platform. These challenges include selecting clinically relevant features, enabling tasks that capture the full breadth of deficits, ensuring longevity in a rapidly changing technology landscape, and performing the extensive technical and clinical validation required for digital interventions. Complicating development, is the need to integrate recommendations from domain experts at all stages.
Objective: The Cognitive Health Technologies team at the National Research Council Canada aims to overcome these challenges with an iterative process for the development of bWell, a cognitive care platform providing multisensory cognitive tasks for adoption by treatment providers.
Methods: The team harnessed the affordances of immersive technologies while taking an interdisciplinary research and developmental approach, obtaining active input from domain experts with iterative deliveries of the platform. The process made use of technology readiness levels, agile software development, and human-centered design to advance four main activities: identification of basic requirements and key differentiators, prototype design and foundational research to implement components, testing and validation in lab settings, and recruitment of external clinical partners.
Results: bWell was implemented according to the findings from the design process. The main features of bWell include multimodal (fully, semi, or nonimmersive) and multiplatform (extended reality, mobile, and PC) implementation, configurable exercises that pair standardized assessment with adaptive and gamified variants for therapy, a therapist-facing user interface for task administration and dosing, and automated activity data logging. bWell has been designed to serve as a broadly applicable toolkit, targeting general aspects of cognition that are commonly impacted across many disorders, rather than focusing on 1 disorder or a specific cognitive domain. It comprises 8 exercises targeting different domains: states of attention (Egg), visual working memory (Theater), relaxation (Tent), inhibition and cognitive control (Mole), multitasking (Lab), self-regulation (Butterfly), sustained attention (Stroll), and visual search (Cloud). The prototype was tested and validated with healthy adults in a laboratory environment. In addition, a cognitive care network (5 sites across Canada and 1 in Japan) was established, enabling access to domain expertise and providing iterative input throughout the development process.
Conclusions: Implementing an interdisciplinary and iterative approach considering technology maturity brought important considerations for the development of bWell. Altogether, this harnesses the affordances of immersive technology and design for a broad range of applications, and for use in both cognitive assessment and rehabilitation. The technology has attained a maturity level of prototype implementation with preliminary validation carried out in laboratory settings, with next steps to perform the validation required for its eventual adoption as a clinical tool.
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http://dx.doi.org/10.2196/26629 | DOI Listing |
Neurodegener Dis Manag
September 2025
Division of Palliative Medicine, Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.
Background: Quality of life is an important goal of care for people living with amyotrophic lateral sclerosis (ALS) and their carers. The ALS Specific Quality of Life instrument Short Form (ALSSQOL-SF) has been translated and validated in various cultural contexts, however its utility in the Malaysian cultural context has not yet been evaluated.
Methods: The quality of life of 21 patients with ALS was evaluated using the ALSSOL-SF in either the English version or translated to the Malay language.
Health Commun
September 2025
Department of Graduate Studies, Wenzhou Medical University.
This systematic review examines how wellness misinformation spreads on social media and identifies counter-strategies through the lens of social cognitive theory (SCT). Analyzing 39 studies from 2019-2024, it highlights key SCT themes - observational learning, self-efficacy, and self-regulation - as central to user behavior. Influencers and algorithm-driven content amplify unverified health claims, especially on platforms like TikTok and Twitter.
View Article and Find Full Text PDFChild Care Health Dev
September 2025
Department of Behavioral Sciences and Learning, Linköping University, Linköping, Sweden.
Objective: To describe the self-report instruments used to measure well-being in children with disabilities, investigate their psychometric quality, cognitive accessibility and alignment with Keyes's operationalization of well-being, including emotional, psychological and social aspects.
Methods: MEDLINE, ProQuest, PubMed and CINAHL were searched for articles published from 2011 to March 2023, identifying 724 studies. Synonyms provided by thesaurus on the main constructs: 'children', 'measure', 'disability' and 'mental health' were employed in the search strategy.
BJPsych Bull
September 2025
Department of Psychiatry, Kyoto University, Kyoto, Japan.
Heated online communication reveals global challenges in the digital age, often fuelled by collective outrage. This article investigates how Buddhist network perspectives, paralleling digital reality, can inform mental health. Avatamsaka philosophy provides practical ways to navigate web complexities, suggesting that individual actions ripple across society.
View Article and Find Full Text PDFEpidemiol Psychiatr Sci
September 2025
Unit of Psychiatry, Department of Public Health and Medicinal Administration, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Taipa, MO, China.
Aims: Loneliness is a common public health concern, particularly among mid- to later-life adults. However, its impact on early mortality (deaths occurring before reaching the oldest old age of 85 years) remains underexplored. This study examined the predictive role of loneliness on early mortality across different age groups using data from the Health and Retirement Study (HRS).
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