“You Have to Be Careful About Every Detail” How the COVID-19 Pandemic Shaped the Experiences of Canadian Personal Support Workers Working in Home Care
Bibliographic record
Abstract
OBJECTIVES: Personal support workers (PSWs) are an essential but vulnerable workforce supporting the home care sector in Canada. Given the impact COVID-19 has had on healthcare workers globally, understanding how PSWs have been impacted is vital. METHODS: We conducted a qualitative descriptive study to understand the working experiences of PSWs over the COVID-19 pandemic. Nineteen semistructured interviews were conducted, and analysis was guided by the collaborative DEPICT framework. RESULTS: Personal support workers are motivated by an intrinsic duty to work and their longstanding client relationships despite feeling vulnerable to transmission and infection. They experienced co-occurring occupational stressors and worsening work conditions, which impacted their overall well-being. CONCLUSIONS: Pandemic conditions have contributed to increased occupational stress among PSWs. Employers must implement proactive strategies that promote and protect the well-being of their workforce while advocating for sector improvements.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.026 | 0.015 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| 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".