Factors Associated With Work Stress and Professional Satisfaction in Oncology Staff
Bibliographic record
Abstract
Cancer care professionals work in a stressful environment, but it is not clear what factors contribute to this stress. We surveyed 60 oncology personnel on an inpatient unit and a palliative care unit regarding levels of perceived work stress and its potential contributors. Logistic regression analyses were performed to determine predictors of staff stress. A total of 63% of staff reported experiencing ;;a great deal'' of stress at work, which was predicted by greater perceived workload (odds ratio = 32.2; P < .0001), insufficient time to grieve patients' death (odds ratio = 9.75; P = .0007), lack of institutional support (odds ratio = 0.16; P = .009), perceived lack of resources (odds ratio = 0.06; P = .007), and lack of control over the choice of workplace (odds ratio = 0.10; P = .03). Measures to address work-related stress should be included in the planning of cancer programs.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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 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".