Identification of obstetric targets for reducing cesarean section rate using the Robson Ten Group Classification in a tertiary level hospital.

Identification of obstetric targets for reducing cesarean section rate using the Robson Ten Group Classification in a tertiary level hospital.

Triunfo, Stefania;Ferrazzani, Sergio;Lanzone, Antonio;Scambia, Giovanni;
european journal of obstetrics, gynecology, and reproductive biology 2015 Vol. 189 pp. 91-5
249
triunfo2015identificationeuropean

Abstract

Due to continuous rise of cesarean section (CS) rate in recent decades to analyze this trend using Robson Ten Group Classification System (RTGCS) and identify the main contributor of the CS rate in an Italian tertiary level hospital.A total of 17,886 deliveries in six (1998, 1999, 2004, 2005, 2010, 2011) of a 13-year period was analyzed using RTGCS.From 1998 to 2011 a rising CS birth rate from 38.7 to 43.7 per 100 births was calculated (p<0.001) in association with a significant reduction of vaginal delivery (VD) (59.7 vs. 53.7%; p<0.001). In multiparous women with a previous CS (Group 5) a repeat CS was performed routinely, resultant the most contributor of CS rate (15.4 vs. 16.2%; p<0.001). Nulliparous women with singleton cephalic full-term pregnancy in spontaneous or induced labor onset resulted the second contributor (Group 1, 3.3 vs. 4.7%; p<0.001; Group 2, 3.6 vs. 4.5%; p<0.001).The RTGCS allows easy identification of the leading contributing patients groups. To propose and evaluate interventions for improving the labor management in nulliparous women and promote vaginal delivery after cesarean (VBAC) could help to mitigate further increases in the future.

Citation

ID: 57714
Ref Key: triunfo2015identificationeuropean
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
57714
Unique Identifier:
10.1016/j.ejogrb.2015.03.030
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet