Evidence map›Paper›PMID 39232837›Full record

ArticleReproductive health2024

The effects of a quality improvement project to reduce caesarean sections in selected private hospitals in Brazil.

Maria do Carmo Leal, Rosa Maria Soares Madeira Domingues, Thaís Cristina Oliveira Fonseca, Tatiana Henriques Leite, Ana Claudia Figueiró, Ana Paula Esteves Pereira, Mariza Miranda Theme-Filha, Bárbara Vasques da Silva Ayres, Oliver Scott, Rita de Cássia Sanchez and 7 more

Abstract read
In one paragraph

Article in Reproductive health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Knowledge, attitudes and practices of Brazilian obstetricians in relation to childbirth care.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Maria do Carmo LealDepartment of Epidemiology and Quantitative Methods On Health, National School of Public Health, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil. ducaleal@gmail.com.
Rosa Maria Soares Madeira DominguesNational Institute of Infectious Disease Evandro Chagas, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil.
Thaís Cristina Oliveira FonsecaDepartment of Statistical Methods, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
Tatiana Henriques LeiteSocial Medicine Institute, State University of Rio de Janeiro, Rio de Janeiro, Brazil.
Ana Claudia FigueiróOswaldo Cruz Foundation, Rio de Janeiro, Brazil.
Ana Paula Esteves PereiraDepartment of Epidemiology and Quantitative Methods On Health, National School of Public Health, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil.
Mariza Miranda Theme-FilhaDepartment of Epidemiology and Quantitative Methods On Health, National School of Public Health, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil.
Bárbara Vasques da Silva AyresDepartment of Epidemiology and Quantitative Methods On Health, National School of Public Health, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil.
Oliver ScottCambridge Imperial, Cambridge, UK.
Rita de Cássia SanchezHospital Israelita Albert Einstein, São Paulo, Brazil.
Paulo BoremInstitute for Healthcare Improvement, Boston, USA.
Maria Carolina de Maio OstiHospital da Luz, São Paulo, Brazil.
Marcos Wengrover RosaHospital Moinhos De Vento, Porto Alegre, Brazil.
Amanda S AndradePasteur Hospital, Rio de Janeiro, Brazil.
Fernando Maia Peixoto FilhoInstitute Fernandes Figueira, Department of Obstetrics, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil.
Marcos Nakamura-PereiraNational Institute of Health for Women, Children and Adolescents Fernandes Figueira, Oswaldo Cruz Foundation (IFF/Fiocruz), Rio de Janeiro, Brazil.
Jacqueline Alves TorresInstitute for Healthcare Improvement, Brasília, Brazil.

Funding

Bill and Melinda Gates Foundation N ° 47/2014
6 · The paper itself

Abstract

backgroundBrazil is one of the countries with the highest rates of caesarean sections (CS), reaching almost 90% of births in the private sector. A quality improvement project called "Adequate Childbirth Project (PPA)" was conceived to reduce CS in the private sector. This project consisted of four primary components: "Governance", "Participation of Women", "Reorganization of Care" and "Monitoring". This paper aims to evaluate: (1) which specific activities of the PPA had the largest effect on the probability of a woman having a vaginal delivery; (2) which primary component of the PPA had the largest effect on the probability of vaginal delivery and (3) which scenarios combining the implementation of different activities planned in the PPA had a higher effect on the probability of vaginal delivery.

methodsA sample of 12 private hospitals participating in the PPA was evaluated. We used a Bayesian Network (BN) to capture both non-linearities and complex cause-effect relations. The BN integrated knowledge from experts and data from women to estimate 26 model parameters. The PPA was evaluated in 2473 women belonging to groups 1-4 of the Robson classification, who were divided into two groups: those participating or not participating in the PPA.

resultsThe probability of a woman having a vaginal delivery was 37.7% higher in women participating in the PPA. The most important component of the project that led to an increase in the probability of vaginal delivery was "Reorganization of Care", leading to a 73% probability of vaginal delivery among women in labor. The activity that had the greatest effect on the type of delivery was access to best practices during labor, with a 72% probability of vaginal delivery. Considering the 12 scenarios combining the different activities of the PPA, the best scenarios included: a non-scheduled delivery, access to information about best practices, access to at least 4 best practices during labor and respect of the birth plan, with an 80% probability of vaginal delivery in the best combinations.

conclusionPPA has been shown to be an effective quality improvement program, increasing the likelihood of vaginal delivery in private Brazilian hospitals.

Indexed as

Cesarean SectionHospitals, PrivateQuality ImprovementAdultBayes TheoremBrazilDelivery, ObstetricFemaleHumansPregnancyBayesian analysisImplementation analysisVaginal birth

Identifiers

PMID39232837
PMCPMC11375826

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.