La pratique infirmière en soins palliatifs auprès de patients atteints de cancer en fin de vie au sein d’une équipe interdisciplinaire : une étude de cas au Liban
Bibliographic record
Abstract
Nurses in Lebanon are poorly prepared to provide palliative care (PC), and practice in this area is poorly documented. This qualitative descriptive study aimed to understand the reality of nursing practice in PC, with terminally ill cancer patients, within an interdisciplinary team. A simple case study was conducted with eleven nurses, three families, an interdisciplinary team, and national experts in PC. Data analysis, carried out with triangulation of both methods and sources, highlighted a humanist relationship characterized by caring, transcending the five central emerging themes : the perception of PC as a means of offering a better quality of life, comprehensive patient care, interdisciplinarity, spirituality, and family support during PC. The results could provide empirical foundations to guide the development of PC nursing practice in the country.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| 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; both teacher heads agree on what is shown here.
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".