Nurses’ willingness to work with COVID‐19 patients: The role of knowledge and attitude
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
AIM: This study aims to assess the role of nurses' knowledge and attitude in relation to their willingness to work with patients diagnosed with COVID-19 in Qatar. DESIGN: A cross-sectional study. METHODS: A self-administered, 35-item online survey was circulated to the Registered Nurses working in Hamad Medical Corporation, the principal healthcare provider in Qatar. RESULTS: A total of 580 attempts to complete the survey. Of them, 377 completed surveys with a response rate of 65%. Logistic regression was used to predict nurses' willingness to work with patients with COVID-19. Nurses' knowledge level and monetary compensation that is associated with the work-environment risk category were found to have a significant positive relationship with the nurses' willingness to care for patients with COVID-19 (p < .05). The findings of this study may help nursing leaders design educational programmes and remuneration models that may help boost nurses' willingness to work with high-risk patient groups, especially during a pandemic.
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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 | 0.000 | 0.000 |
| 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 it