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Determinants of Early Medical Management of Nausea and Vomiting of Pregnancy

2009· article· en· W1986377680 on OpenAlex
Anaïs Lacasse, Évelyne Rey, Ema Ferreira, Caroline Morin, Anick Bérard

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

VenueBirth · 2009
Typearticle
Languageen
FieldMedicine
TopicPregnancy and Medication Impact
Canadian institutionsUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsNauseaVomitingPregnancyAntiemeticMedicineMetoclopramideMedical prescriptionObstetricsHyperemesis gravidarumAnesthesiaPediatricsNursing

Abstract

fetched live from OpenAlex

BACKGROUND: Early medical management of nausea and vomiting during pregnancy is desirable but less than optimal. The aims of this study were to describe the management of nausea and vomiting during the first prenatal visit and to identify the determinants of 1) addressing the subject of nausea and vomiting during pregnancy with the health practitioner and 2) receiving an antiemetic prescription. METHODS: A prospective study was conducted of 283 women who reported nausea and vomiting during the first trimester of pregnancy. Women were eligible if they were at least 18 years of age and < or = 16 weeks' gestation at the time of their first prenatal visit. Participants completed a questionnaire to determine their maternal characteristics, the presence of nausea and vomiting during pregnancy, and its management. RESULTS: Of the 283 study participants, 79 percent reported that the condition was addressed during their first prenatal visit, 52 percent reported being asked about the intensity and severity of their symptoms, and 22 percent reported being questioned about the extent to which it disrupted their daily tasks. Health practitioners prescribed an antiemetic for 27 percent of women and recommended a nonpharmacological method for 14 percent. Multivariate models showed that the severity of the nausea and vomiting, previous use of an antiemetic, and smoking before pregnancy were significantly associated with an increased likelihood of addressing the subject of nausea and vomiting during pregnancy. Variables associated with an increased likelihood of women receiving an antiemetic prescription included nausea and vomiting severity, excessive salivation, previous antiemetic use, and work status. CONCLUSIONS: Health practitioners can improve their management of nausea and vomiting during pregnancy based on the available guidelines for treatment and they should address important factors such as symptom severity and work status at the first prenatal visit to assess women's need for antiemetic treatment.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.509
Threshold uncertainty score0.189

Codex and Gemma teacher scores by category

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

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 head0.020
GPT teacher head0.316
Teacher spread0.295 · 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