The German Health Care System in International Comparison
Bibliographic record
Abstract
BACKGROUND: In 2009, the U.S. Commonwealth Fund conducted a survey of primary care physicians in a number of different countries to determine their views on aspects of their daily work and their perceptions of their countries' health care systems as a whole. A similar survey had been carried out in 2006. METHODS: From February to July 2009, the survey was carried out by interview in representative samples of primary care physicians, general practitioners, internists providing primary care, and pediatricians in 11 countries: Australia, Canada, France, Germany, Italy, the Netherlands, New Zealand, Norway, Sweden, the UK, and the USA. RESULTS: A total of 10 320 interviews were conducted. Only in the Netherlands and Norway did most respondents (60% and 56%, respectively) consider their health care system to be functioning well. Everywhere else, many of the respondents-in particular, 82% of the respondents in Germany-saw a fundamental need for change. 73% of the German physicians stated that recent changes in the health care system had brought about a decline in the quality of care. In all countries but Germany, the percentage of respondents sharing this opinion was 41% at the highest. Nevertheless, most of the German physicians had a positive opinion of the patient care that they themselves delivered. CONCLUSION: The 2009 survey, like its predecessor in 2006, revealed major differences in physicians' perceptions of their health care systems from one country to another. The German respondents' dissatisfaction with, and negative evaluation of, their health care system as a whole contrast with their positive views of their own patient care.
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 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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".