Preference for cesarean section in young nulligravid women in eight OECD countries and implications for reproductive health education
Bibliographic record
Abstract
Background: Efforts to reduce unnecessary Cesarean sections (CS) in high and middle income countries have focused on changing hospital cultures and policies, care provider attitudes and behaviors, and increasing women’s knowledge about the benefits of vaginal birth. These strategies have been largely ineffective. Despite evidence that women have well-developed preferences for mode of delivery prior to conceiving their first child, few studies and no interventions have targeted the next generation of maternity care consumers. The objectives of the study were to identify how many women prefer Cesarean section in a hypothetical healthy pregnancy, why they prefer CS and whether women report knowledge gaps about pregnancy and childbirth that can inform educational interventions. Methods: Data was collected via an online survey at colleges and universities in 8 OECD countries (Australia, Canada, Chile, England, Germany, Iceland, New Zealand, United States) in 2014/2015. Childless young men and women between 18 and 40 years of age who planned to have at least one child in the future were eligible to participate. The current analysis is focused on the attitudes of women (n = 3616); rates of CS preference across countries are compared, using a standardized cohort of women aged 18–25 years, who were born in the survey country and did not study health sciences (n = 1390). Results: One in ten young women in our study preferred CS, ranging from 7.6% in Iceland to 18.4% in Australia. Fear of uncontrollable labor pain and fear of physical damage were primary reasons for preferring a CS. Both fear of childbirth and preferences for CS declined as the level of confidence in women’s knowledge of pregnancy and birth increased. Conclusion: Education sessions delivered online, through social media, and face-to-face using drama and stories told by peers (young women who have recently had babies) or celebrities could be designed to maximize young women’s capacity to understand the physiology of labor and birth, and the range of methods available to support them in coping with labor pain and to minimize invasive procedures, therefore reducing fear of pain, bodily damage, and loss of control. The most efficacious designs and content for such education for young women and girls remains to be tested in future studies.
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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 | 0.002 | 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".