47: Prenatal Consultations for Preterm Labor: What do Women Want?
Bibliographic record
Abstract
Recommendations about prenatal counseling for preterm labor are based on expert opinions, while mothers' perspectives are lacking. To evaluate mother's expectations from the prenatal consultation for preterm labor. This was a prospective survey of hospitalized women at risk of preterm delivery 26 to 32 weeks' GA, who had met the neonatologist for prenatal consultation in the previous 72 h. The tool was developed using data from a qualitative exploratory study; construct and content validity were accounted for through several validation phases. A single-center study was conducted in 2008, leading to a multicenter trial in three tertiary care university hospitals (April 2012 to September 2013). Variables were analyzed using χ2 tests; qualitative data was transcribed and categorized to identify emerging themes. A total of 229 of 334 surveys were returned (67.2%). It was important for almost all respondents to discuss complications of prematurity, but several other topics were also essential (Table 1). 56.6% of women wanted prematurity's complications explained in both general terms and percentages. Most wanted written information about services offered by the NICU (91.7%), prematurity's complications (87.3%) and how the NICU functions (86.9%). 56.4% wished to see the neonatologist again to obtain more information (evolution of prematurity over time and maternal roles for their baby), to visit the NICU or for their spouse to be present. 53.0% preferred meeting several times: they reported feeling initially too stressed and unprepared to ask questions important to them or to remember all the information. Women who did not want another meeting reported feeling well informed, but would ask to meet again if need be. Those who were offered a NICU visit or who had discussed their roles as decision makers for their baby were less likely to want to meet again (P<0.05). Women at risk of preterm labor want to address many issues important to them, including the risks of prematurity, their role as mother of a premature baby and the care they can provide for their baby. Consultations could be improved by ensuring spouses are present, by offering NICU visits or a second meeting, in which women could prepare questions important to them.
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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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
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".