Assessing psychological distress of healthcare workers with and without work injuries: The role of job control
Bibliographic record
Abstract
INTRODUCTION: The study investigates the relationship between work-related injuries, psychological distress, and the influence of perceived job control on healthcare workers, using Bakker and Demerouti's (2007) job demands-resources model as theoretical grounding. METHOD: We analyzed data from 610 healthcare workers (81.1% female) at a northern UK hospital, incorporating both self-reported and organizationally recorded work injury incidents over the three years preceding the survey, along with measures of psychological distress and perceived job control. RESULTS: Unexpectedly, we found that the occurrence of work-related injuries, irrespective of the method of reporting, is not related to lower psychological distress among those employees who report a high level of job control. This relationship holds even when adjusting for various demographic and occupational variables. CONCLUSIONS AND PRACTICAL APPLICATIONS: Given the prevalence of work injuries in the healthcare sector, our findings suggest a need for a deeper exploration into how job characteristics might interact to offset the consequences of work injuries, challenging existing assumptions and opening new avenues for research into the psychology of workplace safety.
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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 | 0.011 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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".