Title |
A Systematic Review of the Robson Classification for Caesarean Section: What Works, Doesn't Work and How to Improve It
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Published in |
PLOS ONE, June 2014
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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
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 2 | 100% |
Mendeley readers
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% |