In Their Own Words: How COVID-19 Has Impacted the Well-Being of Persons Living with Dementia in the Community
Bibliographic record
Abstract
COVID-19 has had a devasting impact on older adults in Canada, including persons living with dementia. This intrinsic case study sought to understand the perceptions of persons living with dementia regarding how COVID-19 has impacted their well-being. Ten persons living with dementia participated in in-depth qualitative interviews about their experience with COVID-19. Using thematic analysis, four themes were identified: (1) expressing current and future concerns; (2) social connections and isolation; (3) adapting to change and resilience through engagement and hope; and (4) we're not all the same: reflecting individual experiences of the pandemic. Results highlight that while COVID-19 contributed to isolation, concerns, and frustrations, persons with dementia also demonstrated adaptation and resilience. This study reinforced that persons with dementia and their responses to challenges are unique. Therefore, interventions to support persons with dementia must also be individualized to each person's abilities and circumstances.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.012 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".