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Record W2898421938 · doi:10.1111/bioe.12517

Can women in labor give informed consent to epidural analgesia?

2018· review· en· W2898421938 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBioethics · 2018
Typereview
Languageen
FieldMedicine
TopicMaternal and Perinatal Health Interventions
Canadian institutionsLondon Health Sciences CentreWestern UniversitySt Joseph's Health Centre
Fundersnot available
KeywordsInformed consentAutonomyCompetence (human resources)Empirical researchAnxietyLabor painCognitionMedicinePremedicationPsychologySocial psychologyPsychiatryPregnancyAlternative medicine

Abstract

fetched live from OpenAlex

There are reasons to believe that decision-making capacity (mental competence) of women in labor may be compromised in relation to giving informed consent to epidural analgesia. Not only severe labor pain, but also stress, anxiety, and premedication of analgesics such as opioids, may influence women's decisional capacity. Decision-making capacity is a complex construct involving cognitive and emotional components which cannot be reduced to 'understanding' alone. A systematic literature search identified a total of 20 empirical studies focused on women's decision-making about epidural analgesia for labor pain. Our review of these studies suggests that empirical evidence to date is insufficient to determine whether women undergoing labor are capable of consenting to epidural analgesia. Given such uncertainties, sufficient information about pain management should be provided as part of prenatal education and the consent process must be carefully conducted to enhance women's autonomy. To fill in the significant gap in clinical knowledge about laboring women's decision-making capacity, well-designed prospective and retrospective studies may be required.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.952
Threshold uncertainty score0.849

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.257
GPT teacher head0.496
Teacher spread0.239 · 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