New Zealand nurses' reports on hospital care: an international comparison.
Bibliographic record
Abstract
Despite the differences in health care systems, nursing shortages and their contributing factors and consequences no longer seem to be solely country-specific. The present study replicated a cross-national study of nurses' perceptions of staffing, work organisation and outcomes conducted in more than 700 hospitals in the United States, Canada, England, Scotland, and Germany. This paper compares the 2001 New Zealand findings with the findings of the five-country study. New Zealand nurses report similar shortcomings in their work environment as do the nurses in countries with distinctly different health care systems. While they report similar high levels of competence and good relations between doctors and nurses as the respondents in the other five countries, higher numbers of New Zealand nurses 30 years of age or younger report their intention to leave their current jobs. New Zealand nurses also report the highest levels of job related stress, high levels of job dissatisfaction, and more than half report receiving inadequate organisational support. The implications of these findings are discussed in light of recent changes in the hospital environment.
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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 | 0.004 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".