Nurses’ work environments, care rationing, job outcomes, and quality of care on neonatal units
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
AIM: This paper is a report of a study of the relationship between work environment characteristics and neonatal intensive care unit nurses' perceptions of care rationing, job outcomes, and quality of care. BACKGROUND: International evidence suggests that attention to work environments might improve nurse recruitment and retention, and the quality of care. However, comparatively little attention has been given to neonatal care, a specialty where patient and nurse outcomes are potentially quite sensitive to problems with staffing and work environments. METHODS: Over a 6-month period in 2007-2008, a questionnaire containing measures of work environment characteristics, nursing care rationing, job satisfaction, burnout and quality of care was distributed to 553 nurses in all neonatal intensive care units in the province of Quebec (Canada). RESULTS: A total of 339 nurses (61.3%) completed questionnaires. Overall, 18.6% were dissatisfied with their job, 35.7% showed high emotional exhaustion, and 19.2% rated the quality of care on their unit as fair or poor. Care activities most frequently rationed because of insufficient time were discharge planning, parental support and teaching, and comfort care. In multivariate analyses, higher work environment ratings were related to lower likelihood of reporting rationing and burnout, and better ratings of quality of care and job satisfaction. CONCLUSION: Additional research on the determinants of nurse outcomes, the quality of patient care, and the impact of rationing of nursing care on patient outcomes in neonatal intensive care units is required. The Neonatal Extent of Work Rationing Instrument appears to be a useful tool for monitoring the extent of rationing of nursing care in neonatal units.
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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 | 0.000 | 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