Access, Affordability, And Insurance Complexity Are Often Worse In The United States Compared To Ten Other Countries
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it