COVID-19 pandemic or chaos time management: first-line worker shortage – a qualitative study in three Canadian Provinces
Bibliographic record
Abstract
BACKGROUND: Over the successive waves of the COVID-19 pandemic, front-line care workers (FLCWs) -in this case, at long-term care facilities (LTCFs)- have been the backbone of the fight. The COVID-19 pandemic has disproportionately affected LTCFs in terms of the number of cases, deaths, and other morbidities, requiring managers to make rapid and profound shifts. The purpose of this study is to describe the effects of the pandemic on LTCF services offered and LTCFs staff dedicated to linguistic minorities in three Canadian provinces. METHODS: This qualitative descriptive study involved eleven managers and fourteen FLCWs, from six LTCFs of three Canadian provinces (New-Brunswick, Manitoba and Quebec). A qualitative content analysis was performed to identify key themes describing the effects of the COVID-19 pandemic on the services offered and the management of LTCFs staff. RESULTS: Based on participants' experiences, we identified three main categories of themes. These macro-themes are as follows: (i) organization and management of staff, (ii) communication and decision-making method, and (iii) staff support. CONCLUSION: The study highlighted the tremendous impact of COVID-19 on direct care staff in terms of the high risks associated with caring for LTCFs residents, which are exacerbated by absences and resignations (sometimes up to 50% of staff), resulting in higher resident to FLCWs ratios. Team members had to support each other, they also received accolades and appreciation from the residents.. Finally, the pandemic led to the rethinking of management procedures centred on a coordinated, inclusive and more hands-on management approach.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".