Analysis of Caesarean Sections According to Robson’s Classification System in Rio De Janeiro

Abstract

Since 2015 the World Health Organization recommended that the Robson's Ten Group Classification System (TGCS) should be instituted in all healthcare facilities in the delivery field. The TGCS is a robust method, with great analytical power and simple implementation. It can provide an overview of an institution's obstetric profile, making it possible to analyze the quality of the service, which results in assisting improvements. It also generates information that allows the conception of public policies in order to reduce CS rates. This study's objective was to use the TGCS to outline for the first time the cesarean profile of the Petrópolis Teaching Hospital (PTH). This is a retrospective, quantitative, cross-sectional study, based on the analysis of medical records of 1180 deliveries at PTH in 2016 (40% of total). The obtained data was tabulated in Windows Excel spreadsheets and compared with data from Ireland and general Brazil studies. The groups with the biggest relative sizes were 2 (20,48%), 5 (20,22%), 10 (16,11%), which were also the ones with the highest relative contribution rates on the overall CS rate (respectively, 23.58%, 32.42%, 20.63%). In Ireland, the relative contribution of the same groups is 23.83%, 28.97%, 6.54%, whereas in Brazil it's 28.6%, 31.1%, 9.8%. The high contribution of group 2 is responsible to increase group 5, since multiparous with previous CS often leads to a new CS. To reduce these rates, new policies should be created and a complete adhesion of induction protocols, installed. The discrepancy of group 10 happens because PTH's the only local high risk maternity hospital, however premature CS indication should be carefully addressed.

Análise Estatística Sobre a Poluição Do Ar Na Cidade Do Rio De Janeiro

“…No teste de Kruskal-Wallis, os valores numéricos são transformados em postos e reunidos em um único conjunto de dados. A comparação entre os grupos é realizada com base nas médias dos postos (posto médio) (Vieira, 2018).…”

“…Quando se rejeita a hipótese nula 𝐻 𝑜 no teste de Kruskal-Wallis, existe evidência de que pelo menos um dos grupos é diferente dos demais. Porém, não se tem a informação de qual ou quais são diferentes (Vieira, 2018).…”

“…Toda vez que o valor calculado de 𝑞 for maior do que o valor crítico de q no nível estabelecido de significância e para k grupos, a diferença entre grupos é significante. Se você estiver usando um programa para computador, procure o p-valor associado a cada diferença de postos médios (Vieira, 2018).…”