Análisis de las cesáreas en Uruguay por tipo de centro hospitalario

Aguirre, Rafael; Antón, José María Monsalvo; Triunfo, Patricia

doi:10.1016/j.gaceta.2018.01.004

Cited by 7 publications

(6 citation statements)

References 23 publications

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“…This same group had a significantly lower cesarean section rate (29.5%) in establishments in the metropolitan regions. In Uruguay, 18 no significant differences were found in cesarean section rates in group 1 between the countryside region (24.8%) and capital (22.7%), and these rates were similar to the rates found in this study in the metropolitan region.…”

Section: Discussionsupporting

confidence: 83%

Cesarean section rates in São Paulo State: regional inequalities in SUS obstetric care

Lucena

Garcia

Duarte

2020

Rev. Bras. Saude Mater. Infant.

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Objectives: to analyze the relation between cesarean section rates in SUS childbirth care establishments in São Paulo State and urbanization conditions, according to Robson group classification system. Methods: Sistema de Informação sobre Nascidos Vivos (Live Births Information System) and Cadastro Nacional de Estabelecimentos de Saúde (National Registry of Health Establishments) 2016 databases were analyzed. The studied outcome was cesarean section rates in the establishments, grouped by administration type (public or nonprofit entities) and urbanization condition. Results: the cesarean section rate in SUS childbirth care establishments was 50.5%, ranging from 41.1% in metropolitan regions up to 75.2% in the low urbanized regions. Cesarean section rates in public administration establishments (38.2%) were significantly lower than the nonprofit administration maternity hospitals (62.3%). Robson groups 5 and 2 contributed mostly to the cesarean section global rate (36.6% and 21.5%, respectively). Conclusions: The less urbanized regions showed significantly higher cesarean section rates than the metropolitan and highly urbanized regions. Cesarean section rates of public administration establishments were significantly lower than the nonprofit administration establishments. However, when separated by urbanization condition its difference was only observed in the metropolitan regions.

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Section: Discussionsupporting

confidence: 83%

Cesarean section rates in São Paulo State: regional inequalities in SUS obstetric care

Lucena

Garcia

Duarte

2020

Rev. Bras. Saude Mater. Infant.

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“…A nivel mundial la situación no es mucho más alentadora, comparando con los datos de Uruguay el porcentaje de cesáreas fue de un 46.3% en 2014, siendo más alto en Epriv 9,10 . En India entre los años 2005 y 2016 el porcentaje de cesáreas en Epriv aumentó del 27.9 al 40.9%, mientras que en los Epub disminuyó del 15.2 al 11.9% 11 .…”

Section: Discussionunclassified

Frecuencia de y cesáreas en establecimientos públicos y privados de la Provincia de Concepción, Chile, 2001-2019

Escalona¹,

Moraga²,

Castro³

et al. 2023

RECHOG

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“…In Uruguay there has been a progressive increase in the CS rate, with gures going from 35.5% (2009) to 46.3% (2014), although percentages differ between regions and institutions (18,19). In view of this increase, in 2017 the Uruguayan Ministry of Health developed the main guidelines for a strategy aimed at reducing preventable CS, based on Robson categories 1, 2, 3 and 4, considered the lowest risk groups (20,21).…”

Section: Introductionmentioning

confidence: 99%

CS in Uruguay From 2008 to 2018: Country Analysis Based on the Robson Classification

Colomar¹,

Colistro

Sosa

et al. 2021

Preprint

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Background: The use of caesarean section has steadily increased all over the globe, with Latin America being the region with the highest rates. Multiple factors account for that increase. The Robson classification is appropriate to systematically evaluate and compare determinants at the clinical level for caesarean section rates over time, as well as to account for local and international needs. The purpose of this study is to describe the evolution of caesarean section rates by Robson groups in Uruguay from 2008 to 2018 using a country level database.Methods: Caesarean section rates were calculated by Robson groups for each of the years included, disaggregated by care sector (public/private) and by geographical area (Capital City/Non-Capital).Results: Among the groups at lower risk of caesarean section (1 to 4), the highest rates of caesarean section were seen in women in group 2B, followed by those in group 4B. Women in groups 2B, 3 and 4 (A and B) (Figure 2) had a significant increase in the number of caesarean section in those 11 years. A significant growth was also observed in groups 5, 8, and 10. A tendency towards a relative increased was seen in groups 2A, 3, 4A-B, and 5 (Figure S5 – Supplementary Material). The private sector had higher rates of caesarean section for all groups throughout the period, except for women in group 9. The private sector in Montevideo presented the highest rates in the groups with the lowest risk of caesarean section 1, 2A, 3 and 4A, followed by the private sector outside of the capital. The analysis of the relative contribution to the overall caesarean section rate, showed that group 5 was the one with the highest contribution, and it kept growing steadily over the years, while there was a decrease in the relative contribution of group 1 to the overall caesarean section rate.Conclusion: Uruguay is no exception to the increasing caesarean section trend, even in groups of women who have lower risk of requiring caesarean section. The implementation of interventions aimed at reducing caesarean section in the groups with lower obstetric risk in Uruguay is warranted.

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Análisis de las cesáreas en Uruguay por tipo de centro hospitalario

Cited by 7 publications

References 23 publications

Cesarean section rates in São Paulo State: regional inequalities in SUS obstetric care

Cesarean section rates in São Paulo State: regional inequalities in SUS obstetric care

Frecuencia de y cesáreas en establecimientos públicos y privados de la Provincia de Concepción, Chile, 2001-2019

CS in Uruguay From 2008 to 2018: Country Analysis Based on the Robson Classification

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