The DOI matches its Crossref record.
Unwanted caesarean sections among public and private patients in Brazil: prospective study
Open accessAbstract
Objective: To assess and compare the preferences of pregnant women in the public and private sector regarding delivery in Brazil. Design: Face to face structured interviews with women who were interviewed early in pregnancy, about one month before the due date, and about one month post partum. Setting: Four cities in Brazil. Participants: 1612 pregnant women: 1093 public patients and 519 private patients. Main outcome measures: Rates of delivery by caesarean section in public and private institutions; women's preferences for delivery; timing of decision to perform caesarean section. Results: 1136 women completed all three interviews; 476 women were lost to follow up (376 public patients and 100 private patients). Despite large differences in the rates of caesarean section in the two sectors (222/717 (31%) among public patients and 302/419 (72%) among private patients) there were no significant differences in preferences between the two groups. In both antenatal interviews, 70-80% in both sectors said they would prefer to deliver vaginally. In a large proportion of cases (237/502) caesarean delivery was decided on before admission: 48/207 (23%) in women in the public sector and 189/295 (64%) in women in the private sector. Conclusions: The large difference in the rates of caesarean sections in women in the public and private sectors is due to more unwanted caesarean sections among private patients rather than to a difference in preferences for delivery. High or rising rates of caesarean sections do not necessarily reflect demand for surgical delivery. What is already known on this topic: In Brazil, one quarter of all women deliver in the private sector The rate of caesarean deliveries in the private sector is extremely high (70%) and more than twice that in the public sector, where rates have recently fallen due to a new policy Previous studies in which women were interviewed after birth showed that a substantial proportion of private patients who have caesarean sections would have preferred normal delivery What this study adds: In two antenatal interviews, preferences regarding type of delivery were nearly identical among public and private patients and strongly favoured vaginal births Contrary to popular belief, middle and upper class women in Brazil do not want to deliver by caesarean section
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
The technocratic, humanistic, and holistic paradigms of childbirth
Davis‐Floyd, R. (2001) · International Journal of Gynecology & Obstetrics · doi:10.1016/s0020-7292(01)00510-0 · Cited by 538
Indications for and Risks of Elective Cesarean Section
Mylonas, I., & Friese, K. (2015) · Deutsches Ärzteblatt international · doi:10.3238/arztebl.2015.0489 · Cited by 359
Global increased cesarean section rates and public health implications: A call to action
Angolile, C. M., Max, B. L., Mushemba, J., & Mashauri, H. L. (2023) · Health Science Reports · doi:10.1002/hsr2.1274 · Cited by 321
Mazzoni, A., Althabe, F., Liu, N., Bonotti, A., Gibbons, L., Sánchez, A., & Belizán, J. (2011) · BJOG: An International Journal of Obstetrics & Gynaecology · doi:10.1111/j.1471-0528.2010.02793.x · Cited by 306
Domingues, R. M. S. M., Dias, M. A. B., Nakamura-Pereira, M., Torres, J. A., d'Orsi, E., Pereira, A. P. E., Schilithz, A. O. C., & Leal, M. D. C. (2014) · Cadernos de Saúde Pública · doi:10.1590/0102-311x00105113 · Cited by 264
Metadata
- Authors
- Potter, J. E., Berquó, E., Perpétuo, I. H. O., Leal, O. F., Hopkins, K., Souza, M. R., & de Carvalho Formiga, M. C.
- Venue
- BMJ
- Publisher
- BMJ
- Published
- 2001-11-17
- Volume
- 323
- Issue
- 7322
- Pages
- 1155-1158
- ISSN
- 0007-1447 (ISSN-L)
- 0959-8138
- 1468-5833
- OpenAlex
- W1966162379
- Cited by
- 299
- References
- 0
- FWCI
- 15.58
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Unwanted caesarean sections among public and private patients in Brazil: prospective study. https://app.cochat.ai/papers/10.1136/bmj.323.7322.1155
- The paper
- Potter, J. E., Berquó, E., Perpétuo, I. H. O., Leal, O. F., Hopkins, K., Souza, M. R., & de Carvalho Formiga, M. C. (2001). Unwanted caesarean sections among public and private patients in Brazil: prospective study. BMJ. https://doi.org/10.1136/bmj.323.7322.1155
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.