TY - JOUR
T1 - Analysis of Caesarian Section Rates Using Robson's Ten Group Classification in a Tertiary Care Hospital
AU - Noor, Tania
AU - Begum, Farjana
AU - Tasnim, Saria
AU - Parvin, Tahmina
AU - Banu, Selina Akter
AU - Akter, Razia
N1 - Publisher Copyright:
© 2021 Obstetrical and Gynaecological Society of Bangladesh. All rights reserved.
PY - 2021
Y1 - 2021
N2 - Background: Robson, proposed a new classification system, the Robson's Ten Group Classification to allow critical analysis of assessing Caesarean section rate according to characteristics of pregnancy. Auditing Caesarian section rates can be done using Robson's classification which in turns helps achieving a uniform basis for comparison across centers and across various countries. The objective was to describe caesarean rates in a tertiary care hospital of Dhaka using Robson's Ten Groups Classification. Methods: A retrospective study was done in Dhaka Community Medical College & Hospital, Dhaka, over a period of one year January 2018 to December 2018. All cases of LUCS done during this period were classified according to Robson's classification and analyzed. Results: A total number of 757 deliveries were conducted over this one year study period. C-Section was performed in 550 patients, giving C-section rates of 73%. Robson's group 5 was the highest contributors to overall CS rate, contributing 28% of all C-sections, followed by group 2 and 4 combindly contributes 20% of overall CS rate (13.4% and 13.1% respectively).The most common indications of primary C-section were failure to progress of labour (12.5%), Fetal distress (12.4%), and CPD (10.7%). Conclusions: Robson's classification helps to identify and analyze the groups that contribute to the most to overall caesarian section rate. This may help to modify strategies and interventions to optimize caesarian section rate.
AB - Background: Robson, proposed a new classification system, the Robson's Ten Group Classification to allow critical analysis of assessing Caesarean section rate according to characteristics of pregnancy. Auditing Caesarian section rates can be done using Robson's classification which in turns helps achieving a uniform basis for comparison across centers and across various countries. The objective was to describe caesarean rates in a tertiary care hospital of Dhaka using Robson's Ten Groups Classification. Methods: A retrospective study was done in Dhaka Community Medical College & Hospital, Dhaka, over a period of one year January 2018 to December 2018. All cases of LUCS done during this period were classified according to Robson's classification and analyzed. Results: A total number of 757 deliveries were conducted over this one year study period. C-Section was performed in 550 patients, giving C-section rates of 73%. Robson's group 5 was the highest contributors to overall CS rate, contributing 28% of all C-sections, followed by group 2 and 4 combindly contributes 20% of overall CS rate (13.4% and 13.1% respectively).The most common indications of primary C-section were failure to progress of labour (12.5%), Fetal distress (12.4%), and CPD (10.7%). Conclusions: Robson's classification helps to identify and analyze the groups that contribute to the most to overall caesarian section rate. This may help to modify strategies and interventions to optimize caesarian section rate.
KW - Caesarean section rate
KW - Robson's Ten Groups Classification System
UR - https://www.scopus.com/pages/publications/85163883242
U2 - 10.3329/BJOG.V36I1.65930
DO - 10.3329/BJOG.V36I1.65930
M3 - Article
AN - SCOPUS:85163883242
SN - 1018-4287
VL - 36
SP - 5
EP - 9
JO - Bangladesh Journal of Obstetrics and Gynecology
JF - Bangladesh Journal of Obstetrics and Gynecology
IS - 1
ER -