High out‑of‑pocket spending and financial hardship at the end of life among cancer survivors and their families
Bibliographic record
Abstract
Cancer is one of the most expensive medical conditions to treat worldwide, affecting national and local spending, as well as household budgets for patients and their families. In this commentary about a recent paper from Tur‑Sinai et al., we discuss the high out-of-pocket spending and medical and non-medical financial hardship faced by cancer patients and their families at the end-of-life in Israel. We provide recent information about the costs of health care in Israel and other high-income countries with (i.e., Canada, Australia, Japan, and Italy) and without universal health insurance coverage (i.e., United States, a country with high healthcare costs and uninsurance rate), and highlight the role of improving health insurance coverage and benefit design in reducing financial hardship among cancer patients and their families. Recognizing that financial hardship at the end of life affects both patients and their families, developing comprehensive programs and policies in Israel as well as in other countries is warranted.
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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 | 0.007 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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 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".