Hospital do Subúrbio : a case study of the first Public-Private Partnership in healthcare provision in Brazil
Bibliographic record
Abstract
The Brazilian healthcare sector is peculiar. The quality gap of the medical services between the public and private providers is significant. The national health system is based on the decentralization of medical services. States and municipalities needed to secure the necessary resources to provide appropriate medical care for the population. Thus, in September 2010, the state of Bahia inaugurated the first Public-Private Partnership hospital in Brazil, Hospital do Subúrbio. This thesis presented the case of the hospital and evaluated its success. The hospital’s purpose was to combine the quality of the private healthcare with the affordability of the public healthcare. The maintenance, management and operation of the hospital were outsourced to a private consortium. A review of several models of PPP was conducted for Portugal, Spain, Canada and the United Kingdom. Similarities emerged in the length of the contract and responsibilities allocated to the private partners. Differences in the provision of clinical services and the project finance reflected the differences in the legal framework of each country. In the end, an analysis of the performance of the hospital was presented. This performance was evaluated using available quantitative and qualitative data provided by the private consortium. The analysis revealed defects in the performance forecasts, which had a positive impact on the payment to the consortium. The mortality rate of the hospital was revealed as a matter for concern. However, the overall positive performance of the hospital confirms that it is a case of success.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.005 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| 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; both teacher heads agree on what is shown here.
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".