Developing and evaluating a national Virtual Community of Practice to support family and friend caregivers of persons living with dementia
Bibliographic record
Abstract
BACKGROUND: A Virtual Community of Practice (VCoP) can offer education and peer support for family and friend caregivers of people living with dementia. A community of practice consists of a group of people who share common challenges and want to enhance their knowledge through regular interactions. Namaste Care, a psychosocial multisensory program, is an example of an intervention well-suited for delivery through a VCoP. Some program activities include massages, listening to music, telling stories, and having snacks and beverages. The purpose of this study is to explore the development of a VCoP, composed of an interactive website, a toolkit, and discussion forums, for family and friend caregivers of people with dementia in collaboration with people with lived experience, and its preliminary evaluation. METHOD: A qualitative descriptive design was used. A total of eight workshop sessions were held virtually. Research partners (i.e., nine caregivers and one person living with dementia) were located across Canada. Each research partner attended two workshop sessions by Zoom. Each workshop session included two to three research partners. In the evaluation phase, two caregivers completed an interview at the end of the intervention to explore their experiences with the VCoP. Thematic analysis was used to analyze data. RESULT: Research partners perceived the initial website provided helpful information related to strategies to meaningfully engage and stimulate people living with dementia. Research partners provided further recommendations including: (a) resources available in different languages; (b) additional tailoring of activities to different stages of dementia and cultural considerations; (c) videos on how to communicate and interact with persons living with dementia; and (d) self-care resources for caregivers. Caregivers reported that they enjoyed being part of VCoP. The discussion forums were helpful to learn more about dementia and meet other caregivers in similar situations. They appreciated receiving resources which made it easy to use the adapted Namaste Care approach including the Namaste Care Toolbox with supplies, the training guide, and checklists. CONCLUSION: This project delivers a practical resource for caregivers, created in collaboration with people with lived experience, to support people living with dementia.
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.
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 | 0.014 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.006 |
| 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 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".