<b>Perfil obstétrico de usuárias do Sistema Único de Saúde após implantação da Rede Mãe Paranaense/Obstetric profile of public health system users after implantation of the Network Mother from the State of Paraná-Brazil<b>
Bibliographic record
Abstract
Este estudo teve por objetivo descrever o perfil sociodemográfico e obstétrico das puérperas residentes em Maringá, atendidas pela Rede Mãe Paranaense. Estudo descritivo realizado com 592 puérperas por meio de entrevista, consulta ao cartão da gestante e prontuário hospitalar, entre 2013 e 2014. Encontraram-se, em sua maior parte, mulheres pardas (44,8%), com ensino médio completo (46,1%), a maioria em união estável (86,3%), e ocupação remunerada (52,0%). Das entrevistadas, 67,8% iniciaram precocemente o pré-natal e 74,0% realizaram sete ou mais consultas. Entretanto, apenas 35,3% planejaram a gravidez, 38,3% participaram de grupos de gestantes e 67,7% foram classificadas quanto ao risco gestacional. Das intercorrências na gestação, a infecção do trato urinário (37,3%), anemia (27,2%) e hipertensão arterial (19,3%) foram as mais frequentes. Devido à alta prevalência de gravidez na adolescência (17,2%), parto cesáreo (57,3%), nascimento prematuro (13,7%), e uso de drogas de abuso durante a gestação (20,6%), evidenciou-se a necessidade de direcionamento da atenção, com vistas à promoção da saúde do binômio mãe-filho.
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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 | 0.001 | 0.004 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 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".