Evidence of Nurse Working Conditions: A Global Perspective
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
There is a global nursing shortage. Few health services decision makers have made the critical link between the number of human resources, the characteristics of the work environment and the impact on patients, nurses, and the system as a whole. The purpose of this article is to review evidence about nurse workload, staffing, skill mix, turnover, and organizational characteristics' effect on outcomes; discuss methodological considerations in this research; discuss research initiatives currently under way; review policy initiatives in different countries; and make recommendations where more research is needed. Overall, an understanding of the relationships among nurse staffing and organizational climate to patient safety and health outcomes is beginning to emerge in the literature. Little is known about nursing turnover and more evidence is needed with consistent definitions and control of underlying patient characteristics. Research and policy initiatives in Australia, Canada, New Zealand, and the United States are summarized.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it