Unintended Consequences of Pandemic Management Strategies on Residents and Family in One Long-term Care Home in British Columbia: A Patient-Supported Qualitative Study
Bibliographic record
Abstract
Background and Objectives: In March 2020, pandemic management strategies were mandated across long-term care homes in British Columbia, Canada, to control the effects of COVID-19. This study describes and contextualizes the impact of visitation, infection prevention and control, and staffing strategies on the perceived health and well-being of residents and families. Research Design and Methods: This interpretive description study was part of a larger mixed-methods study at a publicly funded not-for-profit long-term care home in British Columbia, Canada. Eleven family members and 10 residents were interviewed between October and December 2020, and resident and family partners participated in a steering committee throughout all stages of the research. Findings: Early pandemic management strategies had an adverse impact on the perceived health and well-being of families and residents. Visitation restrictions eliminated care routinely provided by families and prevented in-person communication between residents, families, and care providers. Other infection prevention and control strategies isolated residents; group enrichment programs were stopped, and lockdowns created a perception of incarceration. Donning and doffing personal protective equipment took time away from staff-resident interactions and the single-site order reduced staff numbers, placing additional time restraints on residents' care. Discussion and Implications: Unintended adverse consequences of pandemic management strategies demonstrate the risks of creating policies based on a medicalized definition of health. Clear lines of communication are vital to increase a sense of control for families and residents. Elimination of care provided by families and paid companions exposed a gap in Canada's public long-term care system. This care gap raises concerns about equitable care access for residents without families or financial means to pay for additional care.
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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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.008 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.004 |
| 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".