How do South Asian seniors in a large Canadian city perceive long-term care?
Bibliographic record
Abstract
OBJECTIVE: To understand how community-dwelling South Asian older adults understand and envision long-term care (LTC). DESIGN: Descriptive qualitative study. SETTING: The Region of Waterloo in Ontario. PARTICIPANTS: Participants included 3 key informants (geriatrician, social worker, and medical translator, all South Asian), 1 family caregiver, and 15 community-dwelling South Asian adults aged 65 and older. METHODS: In-depth interviews and focus groups were recorded, transcribed verbatim, and analyzed using a framework analysis approach. MAIN FINDINGS: High-level themes included the emotional impacts of failure to provide culturally competent care, such as fear and isolation; a desire for a model of culturally competent care with an emphasis on food and language; and the need for LTC to be more integrated with the broader community and connected to families. CONCLUSION: As the delivery of LTC is rethought in this country, there is the potential to deliver on the promise of culturally competent care for this growing population. These findings are among the first to communicate the LTC care needs of South Asian older adults in their own words.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".