Why are women deciding against birth in alongside midwifery units? A prospective single-center study from Germany
Bibliographic record
Abstract
OBJECTIVES: For healthy women entering labor after an uneventful pregnancy, advantages of birth in midwife-led models of care have been demonstrated. We aimed to study the level of awareness regarding care in alongside midwifery units (AMU), factors involved in the decision for birth in obstetrician-led units (OLU), and wishes for care and concerns about birth in women registering for birth in OLU who would have been eligible for care in AMU. METHODS: Healthy women with a term singleton cephalic fetus after an uneventful pregnancy course booking for birth in OLU were prospectively recruited. Data were collected by questionnaire. RESULTS: In total, 324 questionnaires were analyzed. One quarter (23.1%) of participants never had heard of care in AMU. Two thirds (64.2%) of women had made their choice regarding model of care before entering late pregnancy; only 16.4% indicated that health professionals had the biggest impact on their decision. One-to-one care and the availability of a pediatrician were most commonly quoted wishes (30.8 and 34.0%, respectively), and the occurrence of an adverse maternal or perinatal event the greatest concern (69.5%). CONCLUSIONS: Although the majority of respondents had some knowledge about care in AMU, expressed wishes for birth matching core features of AMU and concerns matching those of OLU, a decision for birth in OLU was taken. This finding may be a result of lack of knowledge about details of care in AMU; additionally, wishes and concerns may be put aside in favor of other criteria.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".