Asignación financiera en el Sistema de Protección Social en Salud de México: retos para la compra estratégica
Bibliographic record
Abstract
OBJECTIVE:: The financial coordination of the System of Social Protection in Health (SPSS) was analyzed to assess its support to strategic purchasing. MATERIALS AND METHODS:: Official reports and surveys were analyzed. RESULTS:: SPSS covers a capita of 2 765 Mexican pesos, equivalent to 0.9% of GDP. The Ministry of Health contributed 35% of the total, state governments 16.7% and beneficiaries 0.06%. The National Commission for Social Protection in Health received 48.3% of resources, allocating 38% to State Social Protection Schemes in Health and paying 7.4% of the total directly to providers.The state contribution is in deficit while family contributions tend not to be charged. CONCLUSION:: SPSS has not built funds specialized in strategic purchasing, capable of transforming historical budgets.The autonomy of providers is key to reduce out-of-pocket spending through the supply of quality services.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".