Facilitators and barriers in the humanization of childbirth practice in Japan
Bibliographic record
Abstract
BACKGROUND: Humanizing birth means considering women's values, beliefs, and feelings and respecting their dignity and autonomy during the birthing process. Reducing over-medicalized childbirths, empowering women and the use of evidence-based maternity practice are strategies that promote humanized birth. Nevertheless, the territory of birth and its socio-cultural values and beliefs concerning child bearing can deeply affect birthing practices. The present study aims to explore the Japanese child birthing experience in different birth settings where the humanization of childbirth has been identified among the priority goals of the institutions concerned, and also to explore the obstacles and facilitators encountered in the practice of humanized birth in those centres. METHODS: A qualitative field research design was used in this study. Forty four individuals and nine institutions were recruited. Data was collected through observation, field notes, focus groups, informal and semi-structured interviews. A qualitative content analysis was performed. RESULTS: All the settings had implemented strategies aimed at reducing caesarean sections, and keeping childbirth as natural as possible. The barriers and facilitators encountered in the practice of humanized birth were categorized into four main groups: rules and strategies, physical structure, contingency factors, and individual factors. The most important barriers identified in humanized birth care were the institutional rules and strategies that restricted the presence of a birth companion. The main facilitators were women's own cultural values and beliefs in a natural birth, and institutional strategies designed to prevent unnecessary medical interventions. CONCLUSIONS: The Japanese birthing institutions which have identified as part of their mission to instate humanized birth have, as a whole, been successful in improving care. However, barriers remain to achieving the ultimate goal. Importantly, the cultural values and beliefs of Japanese women regarding natural birth is an important factor promoting the humanization of childbirth in Japan.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 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".