Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14356/1056
Title: Robsons Ten Group Classification of Cesarean Section at a Tertiary Center in Nepal
Authors: Baral, Gehanath
Shrestha, Alish
Sah, Arati
Gupta, Aswani Kumar
Citation: BaralG., ShresthaA., SahA., & GuptaA. K. (2021). Robsons Ten Group Classification of Cesarean Section at a Tertiary Center in Nepal. Journal of Nepal Health Research Council, 19(1), 91-96. https://doi.org/10.33314/jnhrc.v19i1.2694
Issue Date: 2021
Publisher: Nepal Health Research Council
Keywords: Cesarean section
Indication
Prediction
Robson classification
Series/Report no.: Jan-March, 2021;2694
Abstract: Abstract Background: Increasing trend in Ceasarean birth is the issue of both demand and supply side. One of the recommended tools to characterize every pregnancy admitted for childbirth is Robson ten-group classification system that may evaluate obstetric practice. The aim of the study was to assess the cesarean section pattern based on Robson’s classification in a central referral hospital. Methods: A retrospective census of childbirths at Paropakar Maternity and Women’s Hospital in Kathmandu performed from September 2018 to February 2019 based on obstetric record. Robson ten-group classification system was the research tool to collect data and Robson Classification Report Table was used to evaluate the data. Results: There were 10500 births with 34% (32-35%) overall cesarean section rate. Excluding spontaneous and induced labor the supposedly total prelabor CS is 14.5%. Group 1+2+3 size is 81% and 21% CS; 5+10 had 11.3% and 23.3% respectively. Prelabor CS (2b+4b) is 3.54% and additional 11% from malpresentation and preterm. Group CS rate from Class 5 onwards, and ratio of 1 and 2 are as recommended by Robson; 67% of CS were not picked up by Robson class due to indications evolved as the labor progresses and the attributes not pre-classified. Conclusions: The assessed quality of data and the type of obstetric population by Robson reference values prove this study as a representative research. But the indications of cesarean sections can be predicted for only one-third of pregnancy attributes classified by Robson class. To supplement this tool to reduce rising cesarean birth requires audit of indications at decision making level. Keywords: Cesarean section; indication; prediction; robson classification
Description: Original Article
URI: http://103.69.126.140:8080/handle/20.500.14356/1056
ISSN: Print ISSN: 1727-5482; Online ISSN: 1999-6217
Appears in Collections:Vol. 19 No. 1 (2021): Vol. 19 No. 1 Issue 50 Jan-Mar 2021

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