Determinantes sociais da saude e o Programa Saude da Familia no municipio de Sao Paulo
Bibliographic record
Abstract
OBJECTIVE: To analyze the current status of the interventions related to social determinants of health conducted in the context of the brazilian family health program. METHODS: A case study using a mixed method approach based on a sequential explanatory strategy with 171 unit managers in the Family Health Care Program in the municipality of Sao Paulo, SP, Southeastern Brazil, in 2005/2006. Self-administered questionnaires were applied and semi-structured interviews and focus groups were conducted with a purposive sample of professionals involved in initiatives related to social determinants of health. Quantitative data were analyzed using descriptive statistics, multiple correspondence analysis, cluster analysis and correlation tests. Qualitative data were analyzed through content analysis and the creation of thematic categories. RESULTS: Despite the concentration of activities directed at disease care, the Family Health Care Program carries out various activities related to the social determination of health, encompassing the entire spectrum of health promotion approaches (biological, behavioral, psychological, social and structural) and all major social determinants of health described in the literature. There was a significant difference related to the scope of the determinants being worked on in the units according to the area of the city. The description of the activities revealed the fragility of the initiatives and a disconnection with the organizational structure of the Family Health Care Program. CONCLUSIONS: The quantity and variety of initiatives related to social determinants of health attests to the program's potential to deal with the social determination of health. On the other hand, the fluidity of objectives and the 'out of the ordinary/extraordinary' characterization of the described initiatives raises concern about its sustainability as an integral part of the program's current operational model.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".