Household spending and impoverishment
Bibliographic record
Abstract
Among the most serious challenges facing health systems in lower and middle income countries is establishing efficient, fair, and sustainable financing mechanisms that offer universal protection. Lack of financial protection forces families to suffer the burden not only of illness but also of economic ruin and impoverishment. In Latin America, financial protection for health continues to be segmented and fragmented; health is mainly financed through out-of-pocket payments.Financing Health in Latin America presents new and important insight into the crucial issue of financial protection in health systems. The book analyzes the level and determinants of catastrophic health expenditures among households in Argentina, Brazil, Chile, Colombia, Costa Rica, the Dominican Republic, Mexico, and Peru, applying both descriptive and econometric analyses. The results demonstrate that out-of-pocket health spending is pushing large segments of the population into impoverishment and that the poorest and most vulnerable segments of the population are most at risk of financial catastrophe. This work is a product of the collaboration between more than 25 researchers and 18 institutions associated with the Research for Health Financing in Latin America and the Caribbean Network, with support from the International Development Research Centre of Canada.
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 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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".