Do maternity care provider groups have different attitudes towards birth?
Bibliographic record
Abstract
OBJECTIVE: To compare family physicians', obstetricians' and midwives' self-reported practices, attitudes and beliefs about central issues in childbirth. DESIGN: Mail-out questionnaire. SETTING/POPULATION; All registered midwives in the province, and a sample of family physicians and obstetricians in a maternity care teaching hospital. Response rates: 91% (n = 50), 69% (n = 97) and 89% (n = 34), respectively. METHODS: A postal survey. MAIN OUTCOME MEASURES: Twenty-three five-point Likert scale items (strongly agree to strongly disagree) addressing attitudes toward routine electronic fetal monitoring, induction of labour, epidural analgesia, episiotomy, doulas, vaginal birth after caesarean section (VBACs), birth centres, provision educational material, birth plans and caesarean section. RESULTS: Cluster analysis identified three distinct clusters based on similar response to the questions. The 'MW' cluster consisted of 100% of midwives and 26% of the family physicians. The 'OB' cluster was composed of 79% of the obstetricians and 16% of the family physicians. The 'FP' cluster was composed of 58% the family physicians and 21% the obstetricians. Members of the 'OB' cluster more strongly believed that women had the right to request a caesarean section without maternal/fetal indications (P < 0.001), that epidurals early in labour were not associated with development of fetal malpositions (P < 0.001) and that increasing caesarean rates were a sign of improvement in obstetrics (P < 0.001). The 'OB' cluster members were more likely to say they would induce women as soon as possible after 41 3/7 weeks of gestation (P < 0.001) and were least likely to encourage the use of birth plans (P < 0.001). The 'MW' cluster's views were the opposite of the 'OBs' while the 'FP' cluster's views fell between the 'MW' and 'OB' clusters. CONCLUSIONS: In our environment, obstetricians were the most attached to technology and interventions including caesarean section and inductions, midwives the least, while family physicians fell in the middle. While generalisations can be problematic, obstetricians and midwives generally follow a defined and different approach to maternity care. Family physicians are heterogeneous, sometimes practising more like midwives and sometimes more like obstetricians.
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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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".