Occupational burnout, retention and health outcomes in nephrology nurses.
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
Occupational burnout can have serious implications on productivity, nurses'health, service usage, and health care costs. This study examined the effect of burnout on nurses' mental and physical health outcomes and job retention. Randomly selected Canadian nephrology nurses completed surveys consisting of the Maslach Burnout Inventory and the Pressure Management Indicator. The nurses also completed questions related to job retention. After controlling for age and years of nephrology nursing experience, the multivariate results demonstrated that almost 40% of mental health symptoms experienced by nephrology nurses could be explained by burnout and 27.5% of physical symptoms could be explained by burnout. Twenty-three per cent of the sample had plans to leave their current position and retention was significantly associated with burnout, mental, and physical symptoms. Organizational strategies aimed at reducing perceptions of burnout are important, as a means to keep nurses healthy and working to their fullest potential.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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