What women want: women's preferences of caregiver behavior when prenatal sonography findings are abnormal
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.
Bibliographic record
Abstract
OBJECTIVE: To determine what women value when receiving news of a pregnancy abnormality detected by ultrasound. METHODS: Women who had a pregnancy complication detected sonographically in the year 2000 were asked to complete a survey of 21 questions measuring the importance of various factors related to the receipt of bad news. Of the target sample of 117 women who agreed to participate, 76 (64.9%) returned completed surveys. Cases included serious anomalies (67%) and soft markers/obstetric complications (33%). RESULTS: Responses to questions on 'information quality', 'prompt provision of information', 'information-provider behavior' and 'information provision environment' showed that women attached the most importance to information quality, much more so than to promptness. Speed was even less important than information-provider empathy. Answers concerning use of the terms 'fetus' or 'baby' revealed greater variation in preferences than any other. Privacy was the most important environmental variable, more important than some information quality variables, or any promptness variable. Intervening variables considered included demographic variables and the seriousness of the prognosis. Education was the most useful predictor of preferences, with highly educated women generally placing less value on environment and some information quality variables, and having different preferences concerning the terms 'fetus' and 'baby'. CONCLUSIONS: Our findings shed some light on what is important to women who face bad news. Although more research is needed in this important area, we hope that our findings may assist institutions and caregivers in establishing guidelines for the effective and considerate communication of bad news.
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 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 | 0.016 |
| 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 it