Managing absenteeism among pregnant healthcare workers: A case from Croatia’s Clinical Hospital Centre Rijeka
Bibliographic record
Abstract
Objective: The case aimed to highlight the increasing absenteeism among pregnant medical workers employed at the Clinical Hospital Centre Rijeka, Croatia. The paper proposed and implemented measures to reduce this trend through coordinated efforts involving the contracted outpatient Occupational Medicine, the Hospital Personnel Department, and the Occupational Safety Department. Methods: A descriptive approach was used to assess the current state of pregnancy-related absenteeism, which fluctuated up to 3% annually of the total 3,500 hospital employees, of whom 81% were females. Results: Immediate action by contracted outpatient Occupational Medicine introduced a selective approach to granting temporary incapacity leave only when the workplace posed a genuine threat to maternal and fetal health. In collaboration with the Occupational Safety Department, temporary reassignment to less hazardous roles was implemented, minimizing absenteeism. Conclusions: The implementation of governmental measures in March 2025, granting significant benefits to pregnant employees, risked straining hospital operations, possibly leading to department closures given the female-dominated workforce. Adhering to Occupational Medicine evaluations and strategically reassigning pregnant workers helped mitigate these risks.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".