Exploring Satisfaction and Migration Intentions of Physicians in Three University Hospitals in Poland
Bibliographic record
Abstract
INTRODUCTION: University hospitals constitute a unique group of health care organizations which traditionally link three functions: (1) providing highly specialized services, (2) teaching activities, and (3) conducting research. OBJECTIVES: To assess the level of carrier satisfaction among physicians working in three university hospitals in Poland (1); to assess whether the physicians have the intention to migrate and what the main reasons for migration are (2); and to identify the actions that might be taken at the hospital level to mitigate physicians' intentions to migrate (3). METHODS: Cross-sectional study with both quantitative and qualitative components. In the quantitative part, an online questionnaire was distributed among physicians working in three university hospitals. A total number of 396 questionnaires were analyzed. In the qualitative part, in-depth interviews with six hospital managers were conducted and analyzed using thematic analysis. RESULTS: On a scale from one "very dissatisfied" to six "very satisfied", the mean career satisfaction of physicians was 4.0 (SD = 0.74). The item with the lowest mean concerned salary level (2.8, SD = 1.41). In the sample, 34% of physicians declared intentions to migrate from Poland. The main reasons for the intention to migrate were: Better working conditions abroad, higher earnings, the ability to maintain better work-life balance, better training opportunities abroad, and problems due to a stressful current workplace. Hospital managers considered the actions that can be taken at the hospital level to mitigate physicians' migration to be specific to those focused on the working environment. CONCLUSIONS: Career development opportunities and features related to the working environment are the main factors influencing physicians' satisfaction and migration intentions that can be modified at the university hospital level.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".