Analysis of Cesarean Sections Using Modified Robson Classification in a Tertiary Care Setup in Pakistan

Objective: To determine the frequency and rate of cesarean section in different groups of pregnant females classified according to Robson classification. Study Design: Analytical cross-sectional study. Place and Duration of Study: Department of Obstetrics and Gynecology, Pak Emirates Military Hospital, Rawalpindi Pakistan, from Apr to Sep 2022. Methodology: A total of 173 pregnant females fulfilling the selection criteria were enrolled after taking written informed consent. At baseline, Robson classification was used, and all females were divided into 10 groups with delivery via cesarean section in each group noted and findings subjected to statistical analysis. Results: The mean age of 173 female patients was 30.98±5.72 years. Using Robson’s classification, 17(9.8%) were classified in Group 1, 13(7.5%) in Group 2a, 2(1.2%) in Group 2b, 22(12.7%) in Group 3, 4(2.3%) in Group 4a, 3(1.7%) in Group 4b, 12(6.9%) in Group 5a, 15(8.7%) in Group 5b, 47(27.2%) in Group 5c, 5(2.9%) in Group 6, 7(4%) in Group 7, 1(0.6%) in Group 8a, 1(0.6%) in Group 8b, 3(1.7%) in Group 8c, 2(1.2%) in Group 9 and 19(11%) in Group 10. Cesarean section (CS) was done in 44.1% females. According to Robson’s classification, the majority of the females who had CS were in 5, 3 and 10 groups. Conclusion: We found a CS rate of 44.1%, predominantly driven by Robson’s Group 5(42.8%), 3(12.7%), and 10(11%). Key contributing factors included prior CS scars, fetal distress, failed induction, and meconium-stained liquor. Targeted education for ...

Authors

Institutions

Publication Details

Journal
Pakistan Armed Forces Medical Journal
Published
2025-02-28
DOI
https://doi.org/10.51253/pafmj.v75i1.9774
Primary Topic
Maternal and Perinatal Health Interventions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Cesarean Sections Using Modified Robson Classification in a Tertiary Care Setup in Pakistan

Tahira Riaz, Tabassum Muzaffar, Fatima Mahmood, Abid Mahmood et al.
Pakistan Armed Forces Medical Journal
Maternal and Perinatal Health Interventions
article

Analysis of Cesarean Sections Using Modified Robson Classification in a Tertiary Care Setup in Pakistan

Tahira Riaz, Tabassum Muzaffar, Fatima Mahmood, Abid Mahmood, Abeera Choudhry, Huma Shehzadi
article en

Abstract

Objective: To determine the frequency and rate of cesarean section in different groups of pregnant females classified according to Robson classification. Study Design: Analytical cross-sectional study. Place and Duration of Study: Department of Obstetrics and Gynecology, Pak Emirates Military Hospital, Rawalpindi Pakistan, from Apr to Sep 2022. Methodology: A total of 173 pregnant females fulfilling the selection criteria were enrolled after taking written informed consent. At baseline, Robson classification was used, and all females were divided into 10 groups with delivery via cesarean section in each group noted and findings subjected to statistical analysis. Results: The mean age of 173 female patients was 30.98±5.72 years. Using Robson’s classification, 17(9.8%) were classified in Group 1, 13(7.5%) in Group 2a, 2(1.2%) in Group 2b, 22(12.7%) in Group 3, 4(2.3%) in Group 4a, 3(1.7%) in Group 4b, 12(6.9%) in Group 5a, 15(8.7%) in Group 5b, 47(27.2%) in Group 5c, 5(2.9%) in Group 6, 7(4%) in Group 7, 1(0.6%) in Group 8a, 1(0.6%) in Group 8b, 3(1.7%) in Group 8c, 2(1.2%) in Group 9 and 19(11%) in Group 10. Cesarean section (CS) was done in 44.1% females. According to Robson’s classification, the majority of the females who had CS were in 5, 3 and 10 groups. Conclusion: We found a CS rate of 44.1%, predominantly driven by Robson’s Group 5(42.8%), 3(12.7%), and 10(11%). Key contributing factors included prior CS scars, fetal distress, failed induction, and meconium-stained liquor. Targeted education for ...

Pakistan Armed Forces Medical JournalVol. 75(1)
Military Hospital (PK), National University of Medical Sciences (PK)
Openalex Percentile: Top 94%
Maternal and Perinatal Health Interventions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.