Career satisfaction of Polish physicians – evidence from a survey study
Bibliographic record
Abstract
Abstract Background Understanding physician satisfaction and the factors associated are relevant for physicians, their patients and decision makers. We conducted the first national-wide study evaluating the satisfaction of Polish doctors using a multidimensional approach. The aims of this study were to: 1) measure the career satisfaction of physicians working in Polish hospitals, and 2) identify the factors associated with higher levels of career satisfaction. Methods A quantitative, on-line survey among 15 nation-wide distributed Polish hospitals (7 general, 5 specialists, and 3 university) was conducted between March and June 2018. A 17-item questionnaire was used to measure satisfaction on a scales from 1.00 to 6.00, as well as their personal, professional, performance, and inherent satisfaction levels. In total, 1.003 questionnaires were included in the study (response rate=38%). Unconditional associations and multivariable regressions models were used to evaluate associations between satisfaction levels and their demographic and work-related factors. Results The mean level of physician satisfaction was 4.10 (SD = 0.69). Almost 57% of the doctors reported being from “somewhat satisfied” to “very satisfied” with their careers; although, only 8.2% reported being satisfied or very satisfied with their career (≥5.00). Doctors reported high levels of inherent satisfaction (mean=4.4, SD = 0.66) and low levels of personal satisfaction (mean=3.78, SD = 0.98). Age and work experience were positively and significantly associated with satisfaction. Conclusions The satisfaction of Polish physicians is moderate. Doctors reported higher levels of satisfaction with their interactions with direct supervisor, other physicians, nurses, doctor-patient relationships and the lowest satisfaction with the salary and work-life balance. Gender, numbers of working hours/week; years of work experience and the stage of professional development were the factors associated with higher satisfaction. Key messages The satisfaction of physicians working in Polish hospitals is moderate. The current shortage of Polish physicians makes their satisfaction especially significant for motivation and retention. Physician satisfaction is an important indicator for managers. Attention regarding levels and factors affecting doctors’ satisfaction should be one of the key issues of health workforce management.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".