Cesarean Audit: Using Robson’s 10 Group Classification at C. U. Shah Medical College and Hospital
Year: 2024
Type: article
Study design: Observational Study
Abstract: Objective: The World Health Organization (WHO) has expressed concern over the rising cesarean section (CS) rate, particularly in middle-and high- income countries. The reasons behind this increase are still debated, but the WHO declared that there is no justification for a rate higher than 10–15%. The Robson classification system, advocated by WHO and FIGO, can help assess and compare CS rates. Study Design and Methods: The Gynecology Department at C.U. Shah Medical College and Hospital conducted an observational study on pregnant patients hospitalized for labor pain between January 2020 and December 2022, with a focus on CS patients. The study used Robson’s 10-group categorization technique to extract maternal features and categorize cesarean performances. Results: Between January 2020 and December 2022, C. U. Shah Medical College and Hospital delivered 4967 patients, of whom 1,572 underwent a CS section. 46.3% were nulliparous, and 53.7% were multipara. 78.31% of patients arrived at full term, with 98.8% having single conceptions. 94.8% of the cases had a cephalic presentation, 4.4% had a breech presentation, and 0.81% had a transverse position. Conclusions: Robson classification is a useful technique for analyzing cesarean delivery (CS) rates, aiding in identifying corrective methods to reduce burden on healthcare systems, and promoting accurate labor monitoring, fetal scalp electrodes, and prenatal education.
Institution: CU Shah Medical College and Hospital
Language: English
Subfield: Obstetrics and Gynecology
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4403346797