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Record W4281477737 · doi:10.1515/jpm-2022-0041

Why are women deciding against birth in alongside midwifery units? A prospective single-center study from Germany

2022· article· en· W4281477737 on OpenAlexaboutno aff
Lydia Gerzen, Sophia L. Tietjen, A Heep, Marie‐Therese Puth, Matthias Schmid, U. Gembruch, Waltraut M. Merz

Bibliographic record

VenueJournal of Perinatal Medicine · 2022
Typearticle
Languageen
FieldMedicine
TopicMaternal and Perinatal Health Interventions
Canadian institutionsnot available
FundersLandeszentrum Gesundheit Nordrhein-Westfalen
KeywordsMedicinePregnancyQuarter (Canadian coin)ObstetricsObstetrics and gynaecologyFamily medicineMatching (statistics)Labour wardSingleton

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.105
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.041
GPT teacher head0.313
Teacher spread0.272 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2022
Admission routes1
Has abstractyes

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