Health equity implications of COVID-19 on dementia care in community for people of African descent
Bibliographic record
Abstract
Abstract This presentation shares results from an analysis of interviews conducted to understand the health equity implications of COVID-19 responses on dementia care in the community for people of African descent in Nova Scotia, Canada. Interviews were embedded within a larger multi-method rapid research project that aimed to assess the impact of COVID-19 on dementia care for geographically and socially marginalized groups in the province. Data from the interviews was analyzed using a constructivist thematic analysis method, guided by an intersectional theoretical scaffold. Three themes were identified related to systemic barriers, mental health, system navigation and self-care, and collected under the overarching theme of ‘facing the unknown with dementia’. Results emphasized the value and notable absence of community driven, culturally specific dementia programs, resources and navigators for people living with dementia, family caregivers and care workers of African descent. Participants identified lack of health system and care provider knowledge and understanding of the cultures and histories of people of African descent as a barrier to quality care and to addressing dementia-related stigma. Conversations focused on the need for practical and accessible tools, strategies and perspectives responsive to the actually lived realities and needs of people in community, and for research that actually contributes to individual and collective life in tangible, timely and culturally meaningful ways. Recommendations focus on the importance of centering community in dementia care programs, policy, practice and research to improve services and supports for people of African descent.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".