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Published on: January 27, 2010
[Trend of caesarean section rate and puerpera characteristics: based on Robson classification]
1Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei 230032, China; Department of Disease Prevention and Health Care, Affiliated Chaohu Hospital of Anhui Medical University, Chaohu 238000, China.
Abstract:
Objective: To analyze the trend in caesarean section rate and puerpera characteristics in hospital, and provide valuable information for maternal and child health policy making and clinical practice. Methods: A total of 12 041 women who delivered in the affiliated Chaohu Hospital of Anhui Medical University from October 1, 2010 to September 30, 2016 were selected. Based on Robson classification system, changes in the rate of caesarean delivery as well as its relationship with two-child policy and infant sex ratio were analyzed. Results: The overall caesarean section rate gradually decreased from 66.9% to 44.2% during the past six years. Respectively, the caesarean section rate in primiparae with singleton term babies decreased to 32.1% and the rate in multiparas without uterine scar decreased to 14.2%, and the rate in premature delivery decreased to 22.9%, the differences were significant (P<0.01). The proportion of vaginal delivery (R1, R3), multiparas with uterine scar (R5) and twins pregnancy (R8) increased. the differences were significant (P<0.01). The annual overall newly-born sex ratio ranged from 110∶100 to 128∶100. In group R1, more babies were girls, the proportion was stable, more women with premature delivery and multiparas had boy babies, but the boy babies by multiparas without uterine scar obviously decreased in the last 2 years. Conclusions: Primiparae with singleton head birth, multipara without uterine scar and women with premature deliveries are the key population in the effort of reduction of caesarean section rate. The caesarean section rate and proportion were unstable in multiparas with uterine scar, breech deliveries and twin deliveries. The application of Robson classification system can improve the comparability of the surveillance data.
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