Nursing care in postpartum adaptation: perceptions of Brazilian mothers
Bibliographic record
Abstract
Background: Women’s health is a topic which is being focused on by public health policies in Brazil; discussions are increasingly expanding and receiving special attention. There are numerous campaigns and actions developed on the importance of preventive screening before birth as well as humanization of childbirth and breastfeeding. Objective: to identify the needs of mothers regarding postpartum nursing care. Method: Qualitative research Convergent Care type held with mothers in a city of Santa Catarina - Brazil. Twenty-three semi-structured interviews took place during October 2012. Results: Postpartum is an important moment on women life. Women’s need adapt in the new conditions as mother and describes some experiences and difficulties such feel physically tired, have pain, difficulties to breastfeeding, problems to conciliate work and newborn. The participants related that received more physicians’ assistance than nurse assistance. Conclusion: Puerperium causes sudden changes in women’s lives; the transition from being pregnant to being a mother is sometimes a difficult period, which demands maternal adaptation, requiring physical and emotional balance. It is important that nurses are aware of the difficulties and needs of these women, in order to provide qualified midwifery attention.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".