Higher Fees Paid To US Physicians Drive Higher Spending For Physician Services Compared To Other Countries
Bibliographic record
Abstract
Higher health care prices in the United States are a key reason that the nation's health spending is so much higher than that of other countries. Our study compared physicians' fees paid by public and private payers for primary care office visits and hip replacements in Australia, Canada, France, Germany, the United Kingdom, and the United States. We also compared physicians' incomes net of practice expenses, differences in financing the cost of medical education, and the relative contribution of payments per physician and of physician supply in the countries' national spending on physician services. Public and private payers paid somewhat higher fees to US primary care physicians for office visits (27 percent more for public, 70 percent more for private) and much higher fees to orthopedic physicians for hip replacements (70 percent more for public, 120 percent more for private) than public and private payers paid these physicians' counterparts in other countries. US primary care and orthopedic physicians also earned higher incomes ($186,582 and $442,450, respectively) than their foreign counterparts. We conclude that the higher fees, rather than factors such as higher practice costs, volume of services, or tuition expenses, were the main drivers of higher US spending, particularly in orthopedics.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".