Background: Robson's Classification System is instrumental in benchmarking and improving maternal care. By categorizing patients based on their specific clinical circumstances, the system allows for a nuanced analysis of C-section rates and their underlying causes. Present study was aimed to assess pattern of caesarean section using Robson's ten group classification system in tertiary care hospital. Material And Methods: Present study was cross-sectional study, conducted in women who delivered via C-Section at our hospital during the study period, were then classified according to Robinson's 10 groups. Results: In our hospital, during the course of the study, out of 1000 deliveries, 391 (39.1%) were LSCS deliveries and 609 (60.9%) were vaginal deliveries. As per ROBSON ten group classification system among various groups, maximum proportion of LSCS (LSCS rate) (100%) was observed in group 9 (women with abnormal lie), followed by 75.5% in group 5 (women with previous LSCS, single cephalic, >37 weeks) and 42.5% in nulliparous patients with single cephalic, >37 weeks in group 1 (spontaneous labour).Lowest LSCS rate was observed in group 8 (women with multiple pregnancies). Maximum number of patients of LSCS were from Category 5 (women with previous CS, single cephalic, >37 weeks) (191, 48.8%) and from Category 2 (Nulliparous women, single cephalic, >37 weeks, induced or CS before labor) (117, 29.9%). Minimum patients were in Category 9 (women abnormal lies) (2, 0.5%) and Category 8 (women with multiple pregnancies) (5, 1.3%). Conclusion: The application of ROBSON'S criteria to assess the pattern of caesarean sections in the study has provided valuable insights into the distribution and trends of caesarean deliveries within the sample size. The study revealed that majority of caesarean sections were concentrated within ROBSON'S group 5 – 48.8% (All multi-parous women, at least one previous uterine scar, single, cephalic,>37 weeks gestation).
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Anusha Natarajan
Ullas D.R.
Yogesh B. Malage
International Journal of Scientific Research
Rajarshee Chhatrapati Shahu Maharaj Government Medical College and CPR Hospital Kolhapur
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Natarajan et al. (Fri,) studied this question.
www.synapsesocial.com/papers/68c198be9b7b07f3a061a5a6 — DOI: https://doi.org/10.36106/ijsr/1910326