Using Living Labs to Explore Needs and Solutions for Older Adults With Dementia: Scoping Review
Bibliographic record
Abstract
BACKGROUND: Numerous living labs have established a new approach for studying the health, independent living, and well-being of older adults with dementia. Living labs interact with a broad set of stakeholders, including students, academic institutions, private companies, health care organizations, and patient representative bodies and even with other living labs. Hence, it is crucial to identify the types of cocreations that should be attempted and how they can be facilitated through living labs. OBJECTIVE: This study aims to scope publications that examine all types of living lab activities, exploring the needs and expectations of older adults with dementia and seeking solutions, whether they live in the community or long-term health care facilities (LTHFs). METHODS: This scoping review was reported according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) recommendations for the extension of scoping reviews. We searched six bibliographic databases for publications up to March 2020, and a forward-backward citation chasing was performed. Additional searches were conducted using Google Scholar. The quality of the selected papers was assessed. RESULTS: Of the 5609 articles identified, we read 58 (1.03%) articles and retained 12 (0.21%) articles for inclusion and final analysis. All 12 articles presented an innovative product, developed in 4 main living labs, to assist older adults with cognitive disorders or dementia living in the community or LTHFs. The objectives of these studies were to optimize health, quality of life, independent living, home care, and safety of older adults with cognitive disorders or dementia, as well as to support professional and family caregivers or reduce their burdens. The overall methodological quality of the studies ranged from poor to moderate. CONCLUSIONS: This scoping review identified several living labs playing a pivotal role in research aimed at older adults with dementia living in the community or LTHFs. However, it also revealed that living labs should conduct more better-quality interventional research to prove the effectiveness of their technological products or service solutions. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2147/SHTT.S233130.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.023 | 0.091 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.008 |
| Bibliometrics | 0.020 | 0.018 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.005 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".