Management of bed availability in intensive care in the context of hospitalization by court order
Bibliographic record
Abstract
OBJECTIVE: to identify, from the nurse perspective, situations that interfere with the availability of beds in the intensive care unit in the context of hospitalization by court order. METHOD: qualitative exploratory, analytical research carried out with 42 nurses working in adult intensive care. The selection took place by non-probabilistic snowball sampling. Data collected by interview and analyzed using the Discursive Textual Analysis technique. RESULTS: three categories were analyzed, entitled deficiency of physical structure and human resources; Lack of clear policies and criteria for patient admission and inadequate discharge from the intensive care unit. In situations of hospitalization by court order, there is a change in the criteria for the allocation of intensive care beds, due to the credibility of professionals, threats of medico-legal processes by family members and judicial imposition on institutions and health professionals. CONCLUSION: nurses defend the needs of the patients, too, with actions that can positively impact the availability of intensive care beds and adequate care infrastructure.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".