Abstract

Background & Objective: Cesarean section (CS) rates have increased continuously worldwide in the past decades while not being associated with significant benefits for mothers and newborns. According to Robson's classification, the present research aimed to analyze the associating factor to cesarean section to set the practice system and decrease the cesarean section rate in the near future. Materials & Methods: This is a retrospective cross-sectional analytic study of the medical record of pregnant women who delivered in 2019 at MNST Hospital. The logistic regression model carried out the adjusted odds ratio (OR) of cesarean section rate and 95% confidence intervals. Results: A total of 5,360 medical records were recruited. Of all birth, 55.4% occurred by cesarean section, most of whom were categorized in R1 to R4 of Robson classification (23.3%), followed by R5 (21.1%) and R10 (5.4%). The subgroup R1-R4 analysis demonstrated that obesity, Bachelor’s education, and private obstetrician were significantly related to the cesarean section in the group of spontaneous labor (R1, R3), and Bachelor’s education and private obstetrician were significantly related to the cesarean section in the group without spontaneous labor (R2, R4) (adjust OR 13.50, P<0.001 and adjust OR 2.11, P<0.001, respectively). Conclusion: Private obstetrician and education level were factors related to the obstetric indication of unnecessary cesarean section.