Caesarean section audit in a tertiary hospital of North India using Robson’s classification

Authors

  • Ruchi Gupta Department of Obstetrics and Gynecology, Maulana Azad Medical College and Lok Nayak Hospital, Delhi, India

DOI:

https://doi.org/10.18203/2320-1770.ijrcog20191193

Keywords:

Bishop score, Caesarean section rate, Robson classification, VBAC

Abstract

Background: In view of upsurging Caesarean section (CS) rate worldwide WHO conducted two multicountry surveys to diagnose the driving determinants. In two WHO surveys increased overall CS rate was observed from 26.4% to 31.2% worldwide except Japan. Both WHO 2014 and FIGO 2016 recommend Robson ten- group classification for monitoring caesarean rate over time because of its clarity, tenacity, resilience and pliability. Our Aim is to classify women delivered in our Hospital as per Robson ten –group classification and access the factor driving caesarean rate in each group.

Methods: This is a retrospective study 1671 caesarean section conducted in tertiary hospital over 6 months (July- December) 2018. All the delivering women were classified according to Robson ten-group classification and data was analyzed using Microsoft excel and SPSS 23 software.

Results: During the study period there were 5917 deliveries. Of these 1671 deliveries were CS accounting for CS rate of 28.24% . The major contributor to CS rate were women in group 5 followed by primigravida’s in group 1 and 2. Increasing  CS rate was observed in group 1 ,2, 3 and 5. Most common indication for caesarean section was fetal distress , failed induction , previous caesarean , breech and Antepartum hemorrhage.

Conclusions: Increasing trend in CS rate is observed in group 1,2 ,3 and 5. In order to reduce CS rate among group 2 better patient selection is required for induction of labour based on Bishop score. In order to reduce CS rate in group 5 promotion of  VBAC deliveries should be encouraged. By classifying women according to Robson group 10 classification  helps in identification of women likely to deliver by caesarean  and to identify effective strategies to optimize the CS rate.

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Published

2019-03-26

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Original Research Articles