Satisfaction of physicians working in hospitals within the European Union: state of the evidence based on systematic review
Bibliographic record
Abstract
BACKGROUND: Despite the wide range of studies concerning physician satisfaction in different European countries, there is a lack of literature reviews synthesizing and analyzing current evidence evaluating satisfaction of physicians working in European hospitals. The goal of our research was to provide a general overview of the studies in this area and their results. METHODS: We searched MEDLINE, Embase, PsycINFO, CINAHL and the Cochrane Library from January 2000 to January 2017 including both MESH/Emtree terms and free text words related to the subject with no language restrictions. The eligibility criteria included: (i) target population: physicians working in European hospitals, (ii) quantitative research aimed at assessing physician satisfaction and (iii) validated tools. We performed a narrative synthesis and meta-analysis. RESULTS: A total of 8585 abstracts and 368 full text articles were independently screened by 2 reviewers against inclusion/exclusion criteria. Finally 61 studies were eligible for qualitative analysis. Included studies enrolled a total of 50 001 physicians from 17 countries. Sample sizes varied between 54 and 7090 participants (median: 336). According to our review ∼59% of physicians working in European hospitals are overall satisfied, 3.54 was the mean satisfaction among studies reporting data on a scale from 1 to 5, 4.81 for studies with a scale from 1 to 7, 6.12 among studies reporting data on a scale from 1 to 10, and 59.65 among studies with a scale from 0 to 100. CONCLUSIONS: The level of physician satisfaction in Europe is moderate. There is a large variety of tools and scales used to assess it.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.114 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".