Volume 13 Issue 4
CLASSIFICATION OF CAESAREAN SECTION BASED ON ROBSON TEN GROUP CLASSIFICATION SYSTEM
1Sana Abbasi, 2Nida Hamid, 3Naila Hina Qazi, 4Mumtaz Jehan, 5Nadra Sultana 6Dr rubina mustaq
1Postgraduate Trainee, Department of Gynaecology and Obstetrics, Rawal General and Dental Hospital, Islamabad
2Assistant Professor, Department of Gynaecology and Obstetrics, Rawal General and Dental Hospital, Islamabad
3Assistant Professor, Department of Gynaecology and Obstetrics, Rawal General and Dental Hospital, Islamabad
4Assistant Professor, Department of Gynaecology and Obstetrics, Rawal General and Dental Hospital, Islamabad
5Professor, Department of Gynaecology and Obstetrics, Rawal General and Dental Hospital, Islamabad
6professor of Gynaecology Rawal General and Dental Hospital , Islamabad .
CORRESPONDENCE TO:
Dr. Sana Abbasi
Postgraduate Trainee,
Department of Gynaecology and Obstetrics, Rawal General and Dental Hospital,
RIHS, Islamabad
ABSTRACT
Background: The gradual rise in cesarean rates all over the world demands the development of concrete classification systems for effective evaluation of these tendencies. The Robson’s Ten Group Classification System (TGCS) is known for its potential to partition the rates of CS into clinically meaningful groups. This study aimed to determine the distribution and the potential risk factors of CSs classified according to the Robson TGCS within a given healthcare facility.
Methods: This retrospective cohort study was carried out in R a w a l g e n e r a l a n d
D e n t a l Hospital, Islamabad, Pakistan. A target population consisted of females who had been subjected to CS in the discrete timeline. Information was obtained from patient charts and from hospital administrative databases on maternal age, parity, previous births, previous caesarean sections and details of the index delivery. Robson TGCS was employed to sort the CS cases into ten categories. Further, the patterns and factors that significantly contributed to the occurrence of injuries were determined through statistical analysis conducted with the help of the necessary software.
Results: There were 1000 women enrolled, who had undergone caesarean deliveries. The number of CS in the each of Robson’s five groups were analyzed, it was observed that Group 5 had the highest percentage of CS at 35.0%, followed by Group 2 that comprised of 20.0% cases. Several factors that predisposed women to have high CS rates were age greater than 35 years, five or more pregnancies, and illnesses. Regarding the variation of different groups for comparing the maternal and neonatal outcomes it revealed that the morbidity rates of the Group 5 & 10 (all single, cephalic, pre-term) were high.
Conclusion: It can, therefore, be concluded that the Robson TGCS is instrumental in CS rate analysis and management. Thus, the application of specific measures for high-risk populations, including increasing the VBAC rate and enhancing the medical comorbidities of patients, may enhance the CS quality and infant and maternal outcomes.
Keywords: CS, Robson 10 group classification system, maternal and neonatal outcomes, OB practices.
