Analysis of Caesarean Section by using Robson’s Group Classification system in Tertiary Care Hospital
Year: 2026
Type: article
Study design: Observational Study
Abstract: Objectives: To evaluate the impact of subgroups and the frequency of cesarean sections using the Robson's Ten-Group Classification system at a tertiary care center in Lahore, Pakistan. Methodology: This descriptive examination of a cross-section included all births that took place at Avicenna Hospital, Lahore, from July 1, 2024, to March 31, 2025. A total of 550 deliveries were classified according to the Robson ten-group classification system. Maternal demographics, obstetric characteristics, indications for caesarean sections, and the results for mothers and newborns were also recorded. Data were analyzed using SPSS version 26, and the results are presented as frequencies and percentages. Results: Among 550 deliveries, 200 were caesarean sections, yielding an in general caesarean section (rate of 36.4% (200/550 deliveries). The average maternal age of women having cesareans (29.3 ± 5.4 years. Robson ten-group classification system analysis showed that Robson ten-group classification system analysis showed that Group 4 (women who are multiparous but do not have a uterine scar,induced or pre‑labor caesarean sections) comprised the largest segment of caesarean sections (cases (27.5%), succeeded in contribution by Group 5 (Uterine scarred multiparous women) (27.0%) of all caesarean deliveries. Failed induction and failure to progress were the most common indications for these groups. Conclusion: The application of Robson ten-group classification system demonstrated that multiparous women, particularly those in Groups 4 and 5, were significantly associated with higher rates of caesarean sections. Focused clinical audits and targeted obstetric interventions in these groups may help optimize caesarean section practices and reduce unnecessary procedures. Keywords: Caesarean section, Obstetrics, Pregnancy Robson Ten-Group Classification System
Institution: Avicenna Medical College
Language: English
Subfield: Obstetrics and Gynecology
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W7124454130
FWCI:
Cites:
Cited by:
Related to: