Intrapartum time intervals and transfer of nulliparae from community births to maternity care units in Germany
Bibliographic record
Abstract
BACKGROUND: Over one-third of nulliparae planning births either at home or in freestanding midwife-led birthing centers (community births) in high-income countries are transferred during labor. Perinatal data are reported each year in Germany for women planning community birth. So far, data sets have not been linked to describe time-related factors associated with nulliparous transfer to hospital. OBJECTIVES: To describe the prevalence of referral for nulliparae and assess maternal and labor characteristics associated with intrapartum transfer. METHODS: Perinatal data from 2010 to 2015 were linked (n = 26,115). Women were reviewed with respect to international eligibility criteria for community birth; 1997 women were excluded (7.6%). Descriptive statistics were reported; unadjusted and adjusted odds ratios with 95% confidence intervals (CI) tested the predictive effect of demographic and labor factors on rates of intrapartum transfer. RESULTS: One in three nulliparous women (30.6%) were transferred to hospital. Compared with community births, transferred women were significantly more likely to experience longer time intervals during labor: from rupture of membranes (ROM) until birth lasting 5 to 18 h (OR 6.05, CI 5.53-6.61) and 19 to 24 h (OR 10.83, CI 9.45-12.41) compared to one to 4 h; and from onset of labor until birth 11 to 24 h (OR 6.72, CI 6.24-7.23) and 25 to 29 h (OR 26.62, CI 22.77-31.11) compared to one to 10 h. When entering all factors into the model, we found the strongest predictors of transfer to be fetal distress, longer time intervals between ROM until birth and onset of labor until birth. CONCLUSIONS: Nulliparous transfer rates were similar to rates in other high-income countries; 94% of referrals were non-urgent. Time was found to be an independent risk factor for the transfer of nulliparae planning community birth.
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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) | 0.001 | 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".