Psychoeducation for pregnant women with fear of childbirth increases rates of spontaneous vaginal delivery, reduces caesarean rates and improves delivery experience
Bibliographic record
Abstract
Commentary on: Rouhe H, Salmela-Aro K, Toivanen R, et al. Obstetric outcome after intervention for severe fear of childbirth in nulliparous women—randomised trial. BJOG 2013;120:75–84[OpenUrl][1][CrossRef][2][PubMed][3] Childbirth fear among the population of pregnant women in developed countries has been positively associated with poor birth outcomes and the increased likelihood of caesarean section.1 The rising proportion of women giving birth by caesarean section and the recognition of the increased risk of maternal morbidity associated with this mode of birth, has led to … [1]: {openurl}?query=rft.jtitle%253DBJOG%26rft.volume%253D120%26rft.spage%253D75%26rft_id%253Dinfo%253Adoi%252F10.1111%252F1471-0528.12011%26rft_id%253Dinfo%253Apmid%252F23121002%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=10.1111/1471-0528.12011&link_type=DOI [3]: /lookup/external-ref?access_num=23121002&link_type=MED&atom=%2Febnurs%2F17%2F4%2F105.atom
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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 | 0.040 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.011 | 0.009 |
| Insufficient payload (model declined to judge) | 0.039 | 0.010 |
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".