Determinants of the need for hospital care among women with nausea and vomiting of pregnancy.
Bibliographic record
Abstract
OBJECTIVES: To characterize a cohort of pregnant women who required hospital care owing to nausea and vomiting of pregnancy (NVP) and to identify variables that could serve as predictors of the need for hospital care. DESIGN: A retrospective, observational study. METHODS: Between 1996 and 1997, women who suffered from NVP were invited to call the NVP Healthline at The Motherisk Program in Toronto. After obtaining verbal consent, callers were interviewed by trained counsellors through a structured questionnaire about their NVP experience in previous pregnancies. Univariate and multivariate analyses were used to identify factors that could predict the need for hospital care. RESULTS: In total, 3,201 women were recruited;1,348 (43.8%) needed hospital care (treatment in the emergency room, day unit or hospital ward). The following characteristics were significantly associated with the need for hospital care: severity of vomiting (more than 5 times a day), use of more than one antiemetic medication, being primigravid, feeling depressed, having had an obstetrician as the primary health care provider and feeling that NVP had affected the partner's daily life. CONCLUSIONS: Several factors, including the severity of physical symptoms of NVP and psychosocial factors, are associated with the need for hospital care. In addition to treatment of physical symptoms, it is important to address other factors associated with NVP.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".