Role and working conditions of hospital nurse managers: A binational study from Peru and Mexico
Bibliographic record
Abstract
Purpose: To examine perceptions and experiences of nurses working in Peru and Mexico about their management role and working conditions at the hospital. Methods: Twenty four focus groups were conducted with 164 nurses. Participants were recruited using a convenience sampling. Data were analyzed using a content analysis technique. Results: Themes identified were: regarding their perception of their role identifies two aspects: management and nursing staff and resources and motivation and commitment to the management function of nursing care, with regard to working conditions are identified: workload and number of nurses deficiency, deficiency in resources to perform the work of nurses and a need for recognition in its management function, also was identified an issue related to the training of undergraduate and graduate students, by identifying a disagreement with current training in undergraduate nursing professionals, as well as the need for continuing education in the management function. Conclusion: Further research is needed to understand the impact of nursing management in patient care and outcomes at hospitals in Latin America. Implications for practice: Understanding the role and working conditions of nurse managers could inform management policies in Peru and Mexico and address the nurse shortage affecting Latin America.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".