Delivery of essential pediatric congenital surgical care within Brazil’s universal health coverage system: a national survey of pediatric surgeons
Bibliographic record
Abstract
Objective: In this study, we assess the delivery of congenital pediatric surgical care under Brazil's system of universal health coverage and evaluate differences in delivery between public and private sectors. Methods: they perform and to report barriers faced while providing surgical care. Responses were weighted by state and stratified by sector (public vs private). Results: A sample of 352 responses was obtained and weighted to represent 1378 practicing pediatric surgeons registered in Brazil during the survey time. 73% spend the majority of their time working in the public sector ('Sistema Único de Saúde' and Foundation hospitals), and most of them also work in the private sector. Generally, Brazilian pediatric surgeons have the expertise to provide thoracic, abdominal, and urologic procedures. Surgeons working mostly in the public sector were more likely to report a lack of access to essential medications (25% vs 9%, p<0.01) and a lack of access to hospital beds for surgical patients (52% vs 32%, p<0.01). Conclusions: Brazilian pediatric surgeons routinely perform thoracic, abdominal, and urologic surgery. Those working in government-financed hospitals face barriers related to infrastructure, which may impact Brazilians who rely on Brazil's universal health coverage system. Policies that support pediatric surgeons working in the public sector may promote the workforce available to provide congenital pediatric surgical care.
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 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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".