Education, Competence, and Role of the Nurse Working in the PACU: An International Survey
Bibliographic record
Abstract
PURPOSE: The aim of this research project was to describe the education, competence, and role of nurses working in the postanesthesia care unit (PACU) in 11 countries having an established perianesthesia specialty nursing organization and membership on the International Collaboration of PeriAnaesthesia Nurses, Inc (ICPAN) Global Advisory Council (GAC). DESIGN: This is a descriptive international cross-sectional study. METHODS: A Web-based survey was distributed to members of the ICPAN GAC to be completed by the GAC representative or another expert perianesthesia nurse member from the organization (n = 11). The GAC has one representative from the following 11 ICPAN organizational members: ACPAN, Australian College of PeriAnaesthesia Nurses (Australia); BRV, Beroepsvereniging Recovery Verpleegkundigen (Belgium/The Netherlands); NAPANc, National Association of PeriAnesthesia Nurses of Canada (Canada); FSAIO, The Danish Association of Anaesthesia, Intensive Care and Recovery Nurses (Denmark); FANA, Finnish Association of Nurse Anaesthetists (Finland); Hellenic Perianesthesia Nursing Organization (Greece); IARNA, Irish Anaesthetic and Recovery Nurses Association (Ireland); PNC of NZNO, Perioperative Nurses College of the New Zealand Nurses Organisation (New Zealand); ANIVA, Swedish Association of Nurse Anesthetists and Intensive Care Nurses (Sweden); BARNA, British Anaesthetic and Recovery Nurses Association (United Kingdom); and ASPAN, American Society of PeriAnesthesia Nurses (USA). FINDINGS: Perianesthesia nursing was recognized as a professional nursing specialty in 6 of 11 countries, and 8 of 11 have established national guidelines or practice standards for perianesthesia nurses. The Netherlands, Ireland, and Australia are the only countries that have a formal education program for perianesthesia nurses. There were variations in nurse-to-patient ratios between the 11 countries, ranging from 2:1 to 1:3 in the Phase I recovery of critically ill patients; in Phase II recovery (day surgery) it was most common to have up to three to four patients per nurse. Perianesthesia nurses were mainly the only profession stationed in the PACU, with professions such as the anesthesiologist and surgeon on call. The nurses performed many job tasks autonomously; however, this differed between countries. CONCLUSIONS: Perianesthesia nurse education, clinical guidelines, other professions working in the PACU, and job tasks differ between countries. This knowledge can be used in international collaboration to further develop education and training for nurses working in the PACU. Continued international perianesthesia nursing partnership can only bring us closer and strengthen our specialty practice with the focus not on our differences but on our common denominators.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".