Analysis of Health and Drug Access Associated with the Purchasing Power of the Ecuadorian Population
Bibliographic record
Abstract
OBJECTIVE: To determine whether there is a relationship between access to health systems and out-of-pocket spending with socio demographic characteristics in Ecuador.METHODS: Retrospective analysis of national level data on household medical expenditure from the National Survey of Household Income and Expenditure in Urban and Rural Houses conducted by the Ecuadorian National Institute of Statistics and Census Databases as well as other scientific, institutional, technical-administrative datasets.RESULTS: Families in the lowest percentile of poverty spend proportionally more out-of-pocket on pharmaceutical drugs than wealthier families. Furthermore, the lowest income deciles have no access to private health coverage. Populations from the bigger cities have more access to health care services than smaller rural cities. In Ecuador, 71% of pharmaceutical products are imported and 8% of the total of drugs are generic.CONCLUSIONS: Despite efforts by the current government, health access remains uneven, as indicated by drug access and out-of-pocket expenses per family. Poorer families have higher relative health expenditures for drugs than families with higher incomes, although poorer families have no access to private insurances.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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 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".