Publication:
A Retrospective Analysis of the Robson Classification Implementation in a Tertiary Care Hospital in Serbia

dc.contributor.authorJankovic, Svetlana (55920143100)
dc.contributor.authorRovcanin, Marija (57219309601)
dc.contributor.authorTomic, Ana (58700815500)
dc.contributor.authorJokic, Aleksa (59754638300)
dc.contributor.authorKostic, Konstantin (58548059900)
dc.contributor.authorGrujic, Tijana (59754461900)
dc.contributor.authorOrlic, Natasa Karadzov (41561546900)
dc.date.accessioned2025-06-12T11:37:21Z
dc.date.available2025-06-12T11:37:21Z
dc.date.issued2025
dc.description.abstractBackground/Objectives: Cesarean section (CS) is an essential intervention in obstetric care, significantly contributing to reducing the rate of maternal and neonatal mortality and morbidity. It has been recommended that the acceptable CS rate should not go beyond 10–15% across all deliveries. Nonetheless, the CS rate has escalated over the past decades. To understand the factors contributing to the rise in CS rates, the Robson classification that relies on pre-labor, intrapartum, and postpartum parameters has been proposed. As no journal-reported data are currently available on the implementation of the Robson classification in Serbia, we aimed to identify trends in CS rates, as well as the Robson groups with the highest risk for CS at our tertiary care clinic. Methods: We conducted a retrospective, cross-sectional analysis of 6574 women who gave birth to live fetuses weighing a minimum of 500 g and with a gestational age of at least 22 weeks. Results: The overall CS rate was 30.5%, with a statistically significant difference in CS rates between different Robson groups (X2 = 2703.9, p < 0.001). Robson groups 1 (31.9%), 3 (30.4%), and 5 (10.3%) were the largest, and groups 9 (0.9%) and 7 (1.3%) were the smallest. The CS rate in group 5 was the highest (30.3%), followed by groups 1 (20.3%) and 2 (13.2%). Group 5 was the largest contributor to the absolute CS rate (9.25%), followed by groups 1 (6.21%) and 2 (4.03%). Conclusions: We effectively implemented Robson classification for monitoring CS rates and distinguishing specific groups that individually contribute to these rates. © 2025 by the authors.
dc.identifier.urihttps://doi.org/10.3390/jcm14082700
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-105003597224&doi=10.3390%2fjcm14082700&partnerID=40&md5=d2eb944b238a8c5519d629460220b4dd
dc.identifier.urihttps://remedy.med.bg.ac.rs/handle/123456789/509
dc.subjectcesarean section
dc.subjectdelivery
dc.subjectrate
dc.subjectRobson classification
dc.titleA Retrospective Analysis of the Robson Classification Implementation in a Tertiary Care Hospital in Serbia
dspace.entity.typePublication

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