Burnout and absence among hospital nurses: an empirical study of the role of context in Argentina
Bibliographic record
Abstract
This study explores the role of absence and contextual factors on burnout, including shiftwork rotation, stressful work units, and understaffing. The efficacy of absence as a coping mechanism is examined in the most and least stressful work units under conditions of shiftwork rotation and understaffing, respectively. The sample consists of 304 hospital nurses in Argentina. Results reveal that absence mitigates the impact of emotional exhaustion on diminished personal accomplishment among fixed shift nurses who work in the least stressful units. Absence buffers the impact of emotional exhaustion on diminished personal accomplishment in understaffed units. Its role changes when it comes to buffering the impact of emotional exhaustion on depersonalisation across levels of understaffing. We argue that absence plays an attenuating role only when specific contextual factors cohere. Nurses who are aware of this contextual confluence manage their mental health better. These findings have practical implications for healthcare management.
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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".