Inadequate use of prenatal services among Brazilian women: the role of maternal characteristics.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
CONTEXT: To improve the uptake of prenatal care, it is important to know how the use of prenatal care varies by maternal attitudes and social and demographic factors. METHODS: Information about social and demographic variables, prenatal care, parity, pregnancy planning, abortion attempts, satisfaction with pregnancy and satisfaction with the relationship with the child's father was collected from 611 postpartum women in Porto Alegre in southern Brazil. Multinomial logistic regression was used to evaluate associations between these variables and whether the women's use of prenatal care was adequate, partially inadequate or inadequate. RESULTS: About 40% of women had inadequate or partially inadequate prenatal care. After adjustment for other covariates, including satisfaction with the pregnancy, women having an unplanned pregnancy were significantly more likely to have had inadequate care than women who had planned their pregnancy (odds ratio, 2.0). Not living with the child's father (2.8) and dissatisfaction with pregnancy (2.1) were also associated with inadequate use of prenatal care. Women having their second or higher order birth were significantly more likely to report inadequate use of prenatal care than women having their first birth (3.9-9.0). Household income was inversely associated with inadequate use of care. CONCLUSIONS: The study suggests that maternal attitudes may be important for adequate prenatal care. Interventions should be created to encourage women with negative maternal attitudes to use prenatal care and to ensure that they have access to the care they need.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it