↓ Skip to main content

PLOS

A Systematic Review of the Robson Classification for Caesarean Section: What Works, Doesn't Work and How to Improve It

Overview of attention for article published in PLOS ONE, June 2014
Altmetric Badge

Mentioned by

news
1 news outlet
policy
3 policy sources
twitter
2 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

dimensions_citation
174 Dimensions

Readers on

mendeley
380 Mendeley
Title
A Systematic Review of the Robson Classification for Caesarean Section: What Works, Doesn't Work and How to Improve It
Published in
PLOS ONE, June 2014
DOI 10.1371/journal.pone.0097769
Pubmed ID
Authors

Ana Pilar Betrán, Nadia Vindevoghel, Joao Paulo Souza, A. Metin Gülmezoglu, Maria Regina Torloni

Abstract

Caesarean sections (CS) rates continue to increase worldwide without a clear understanding of the main drivers and consequences. The lack of a standardized internationally-accepted classification system to monitor and compare CS rates is one of the barriers to a better understanding of this trend. The Robson's 10-group classification is based on simple obstetrical parameters (parity, previous CS, gestational age, onset of labour, fetal presentation and number of fetuses) and does not involve the indication for CS. This classification has become very popular over the last years in many countries. We conducted a systematic review to synthesize the experience of users on the implementation of this classification and proposed adaptations.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 380 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 <1%
Brazil 1 <1%
South Africa 1 <1%
Israel 1 <1%
United Kingdom 1 <1%
Spain 1 <1%
Unknown 374 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 72 19%
Researcher 37 10%
Student > Ph. D. Student 33 9%
Student > Postgraduate 31 8%
Student > Bachelor 31 8%
Other 73 19%
Unknown 103 27%
Readers by discipline Count As %
Medicine and Dentistry 188 49%
Nursing and Health Professions 34 9%
Social Sciences 24 6%
Agricultural and Biological Sciences 5 1%
Economics, Econometrics and Finance 4 1%
Other 19 5%
Unknown 106 28%