Workload of postanaesthesia care unit nurses and intensive care overflow
Bibliographic record
Abstract
The admission of intensive care unit (ICU) overflow patients in the post anaesthesia care unit (PACU) has come about as a result of an increasing demand for ICU services, which is not followed by a respective increase in the number of available beds. This has raised many concerns from nurses, with extensive workload and lack of personnel being the most important. This study was conducted in the General University Hospital of Patras, Greece, from 1 January 2003 to 30 June 2004. Admissions of ICU patients in the PACU were recorded and Project Research in Nursing (PRN), a Canadian workload measurement system, was used to estimate nursing workload. One hundred and three ICU patients were admitted and they stayed for a total time of 2812 hours. PRN scores of these ICU patients were much higher than for post anaesthesia patients. Clinically important increases of total PRN score, total care time and nursing personnel needs were evident in the presence of an ICU overflow patient during all shifts. Unless there is the appropriate number of personnel, increases in total care time are likely to lead to the neglect of post anaesthesia patients' needs.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".