Recommendations Related to Visitor and Movement Restrictions in Long-Term Care and Retirement Homes in Ontario during the COVID-19 Pandemic: Perspectives of Residents, Families, and Staff
Bibliographic record
Abstract
In Canada, long-term care and retirement home residents have experienced high rates of COVID-19 infection and death. Early efforts to protect residents included restricting all visitors as well as movement inside homes. These restrictions, however, had significant implications for residents' health and well-being. Engaging with those most affected by such restrictions can help us to better understand their experiences and address their needs. In this qualitative study, 43 residents of long-term care or retirement homes, family members and staff were interviewed and offered recommendations related to infection control, communication, social contact and connection, care needs, and policy and planning. The recommendations were examined using an ethical framework, providing potential relevance in policy development for public health crises. Our results highlight the harms of movement and visiting restrictions and call for effective, equitable, and transparent measures. The design of long-term care and retirement policies requires ongoing, meaningful engagement with those most affected.
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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 | 0.009 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.009 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| 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".