The Lived Experiences of Nurses Caring for Patients With COVID-19 in Arabian Gulf Countries: A Multisite Descriptive Phenomenological Study
Bibliographic record
Abstract
Since the beginning of the COVID-19 pandemic, several studies worldwide have explored nurses' experiences of caring for COVID-19 patients in various healthcare settings. However, these studies were conducted in context, culture, and healthcare systems that differ greatly from the Arabian Gulf context. This descriptive phenomenological study aimed to understand nurses' lived experiences caring for patients diagnosed with COVID-19 in Arabian Gulf countries. Individual virtual interviews were conducted with 36 nurses from five countries and were analyzed using Giorgi's methodology. Four main themes were identified: (1) living with doubts, (2) living through the chaos of challenges, (3) moving toward professional resilience, and (4) reaching the maximum level of potential. The findings from this study hopefully will guide health organizations in this region in developing strategies and policies to support and prepare nurses for future outbreaks.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| 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".