Original Research ArticleInternational Journal of Reproduction, Contraception, Obstetrics and Gynecology

Publication:
Determination of caesarean section rate and its trend analysis in a tertiary care tribal preponderant state using Robson’s classification

Int J Reprod Contracept Obstet Gynecol. 2025;14(7):2255-2259.DOI10.18203/2320-1770.ijrcog20251975

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Abstract

Background There are certain conditions during delivery where vaginal delivery becomes unsafe. To overcome this situation, caesarean section (CS) is necessary for the safety of the mother and baby. The incidence of CS is rising to improve the outcome of mother and baby; it is a life-saving surgical tool in the process of delivering the baby. Efforts are being made to decrease the rate of CS without adversely affecting the outcome of the mother and baby. Robson’s classification for the indication of CS is an excellent method to audit for the indication of the surgery. However, this classification does not include some important indications like placenta previa, which is on the rise in the present day.

Methods This study was a hospital-based prospective observational study that enrolled 2066 pregnant females, conducted from October 2023 to September 2024 in a tertiary health centre.

Results Delivery by vaginal route and CS was 4561 during one year period, 2066 women was delivered by CS accounting an incidence of 45.29%. The majority of patients were in the age group of 20-30 years (75.9%), 82.1% were from rural areas, and the majority of women were unbooked (70%), 57.4% were multiparous, and 51.3% of the patients belonged to the tribal community.

Conclusions Standardisation of CS indication parameters, regular CS audits, and application of Robson classification for every woman undergoing a CS will be helpful to keep a check on rising CS rates.

Keywords

Affiliations

  1. Department of Obstetrics and Gynaecology, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India
  2. Department of Obstetrics and Gynaecology, Jeevan Deep Hospital, Bharwari, Kaushambi, Uttar Pradesh, India

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