Long-term effects of an intervention on psychosocial work factors among healthcare professionals in a hospital setting
Bibliographic record
Abstract
OBJECTIVE: This study assessed the long-term effects of a workplace intervention aimed at reducing adverse psychosocial work factors (psychological demands, decision latitude, social support and effort-reward imbalance) and mental health problems among health care professionals in an acute care hospital. METHODS: A quasi-experimental design with a control group was used. Pre-intervention (71% response rate) and 3-year post-intervention measures (60% response rate) were collected by telephone interviews with validated instruments. RESULTS: Three years after the intervention, all adverse psychosocial factors except one were reduced in the experimental group, and the improvement was statistically significant for 5/9 factors: psychological demands, effort-reward imbalance, quality of work, physical load and emotional demands. In addition, all health indicators improved and 2/5 significantly: work-related and personal burnout. In the control hospital, three work factors improved significantly but two deteriorated significantly: decision latitude and social support. All health problem deteriorated, although not significantly, in the control hospital. Moreover, 3 years after the intervention, the mean of all adverse factors except one (psychological demands) and all health indicators was significantly more favourable in the experimental than the control hospital, after adjusting for pre-intervention measures. CONCLUSION: These results support the long-term effectiveness of the intervention. The reduction in many psychosocial factors in the experimental hospital may have clinical significance since most health indicators also improved in this hospital. These results support the whole process of the intervention given that significant improvements in psychosocial factors and health problems were observed in the experimental hospital but not in the control hospital.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".