Characterising doctor-parent communication in counselling for impending preterm delivery
Bibliographic record
Abstract
OBJECTIVE: To examine the counselling of women admitted to hospital in preterm labour. Such women and their partners are often asked to participate in difficult decisions including mode of delivery, fetal monitoring, and resuscitation. STUDY DESIGN: Questionnaire based descriptive study. STUDY SETTING: A tertiary level perinatal referral centre. PATIENTS: Forty-nine women in preterm labour at 22-30 weeks gestation, admitted in two separate periods between March 1997 and May 1999. INTERVENTION AND OUTCOME MEASURE: Within 24 hours of counselling, parents were asked to complete a questionnaire assessing recall of the management plan, desire for involvement in decision making, anxiety, and feelings of control over their health. A parallel questionnaire was completed by the clinicians. RESULTS: Parents and clinicians on recall agreed well about obstetric issues but poorly about neonatal issues. Overall 27% of parents felt: "I would prefer to have the doctors advise me, rather than asking me to decide". In 79% of cases, clinicians believed parents preferred advice rather than to make decisions, but in 45% of these, they misidentified those who wished to make their decisions. Anxiety levels for one third of the mothers were high, and associated with poorer concordance of recall between parents and clinicians. CONCLUSIONS: Serious deficiencies exist in parent-clinician encounters during extremely preterm labour. Concordance between parents and clinicians is poor and anxiety very high. A quarter of parents appear to prefer to relinquish decision making autonomy, but clinicians cannot correctly identify this subgroup. Standardised counselling in the perinatal period, using formal decision aids, should be investigated.
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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 | 0.007 | 0.065 |
| 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 | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".