Creating Dementia-Friendly Communities for Social Inclusion: A Scoping Review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Aims: This scoping review explores key strategies of creating inclusive dementia-friendly communities that support people with dementia and their informal caregiver. Background: Social exclusion is commonly reported by people with dementia. Dementia-friendly community has emerged as an idea with potential to contribute to cultivating social inclusion. Methods: This scoping review follows the Joanna Briggs Institute scoping review methodology and took place between April and September 2020. The review included a three-step search strategy: (1) identifying keywords from CINAHL and AgeLine; (2) conducting a second search using all identified keywords and index terms across selected databases (CINAHL, AgeLine, MEDLINE, PsycINFO, Web of Science, ProQuest, and Google); and (3) hand-searching the reference lists of all included articles and reports for additional studies. Results: Twenty-nine papers were included in the review. Content analysis identified strategies for creating dementia-friendly communities: (a) active involvement of people with dementia and caregivers (b) inclusive environmental design; (c) public education to reduce stigma and raise awareness; and (d) customized strategies informed by theory. Conclusion: This scoping review provides an overview of current evidence on strategies supporting dementia-friendly communities for social inclusion. Future efforts should apply implementation science theories to inform strategies for education, practice, policy and future research.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.007 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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 it