Access, Affordability, And Insurance Complexity Are Often Worse In The United States Compared To Ten Other Countries
Bibliographic record
Abstract
The United States is in the midst of the most sweeping health insurance expansions and market reforms since the enactment of Medicare and Medicaid in 1965. Our 2013 survey of the general population in eleven countries-Australia, Canada, France, Germany, the Netherlands, New Zealand, Norway, Sweden, Switzerland, the United Kingdom, and the United States-found that US adults were significantly more likely than their counterparts in other countries to forgo care because of cost, to have difficulty paying for care even when insured, and to encounter time-consuming insurance complexity. Signaling the lack of timely access to primary care, adults in the United States and Canada reported long waits to be seen in primary care and high use of hospital emergency departments, compared to other countries. Perhaps not surprisingly, US adults were the most likely to endorse major reforms: Three out of four called for fundamental change or rebuilding. As US health insurance expansions unfold, the survey offers benchmarks to assess US progress from an international perspective, plus insights from other countries' coverage-related policies.
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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 | 0.001 | 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) | 0.003 | 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".