Lived Experience of Medicine Nurses Caring for COVID-19 Patients
Bibliographic record
Abstract
BACKGROUND: The COVID-19 pandemic has overwhelmed health care systems globally. To understand how health care systems can best support frontline health care providers caring for patients in similar situations, it is necessary to gain insights into their experience. PURPOSE: This quality improvement study explored the lived experience of Canadian frontline medicine nurses caring for COVID-19 patients during the first wave of the pandemic. METHOD: A qualitative interpretive phenomenological approach was conducted. Forty-three eligible nurses participated in semistructured interviews and online surveys. Full transcription and thematic content analysis were performed. RESULTS: Three overarching themes were deduced: (1) a traumatic experience, (2) living through the experience, and (3) achieving transcendence. CONCLUSION: Several recommendations were identified. These recommendations aim to aid health care systems in emergency preparation planning and future pandemic responses while supporting frontline health care providers' resilience and well-being.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".