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      Using Robson's Ten‐Group Classification System for comparing caesarean section rates in Europe: an analysis of routine data from the Euro‐Peristat study

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          Abstract

          Objective

          Robson's Ten Group Classification System (TGCS) creates clinically relevant sub‐groups for monitoring caesarean birth rates. This study assesses whether this classification can be derived from routine data in Europe and uses it to analyse national caesarean rates.

          Design

          Observational study using routine data.

          Setting

          Twenty‐seven EU member states plus Iceland, Norway, Switzerland and the UK.

          Population

          All births at ≥22 weeks of gestational age in 2015.

          Methods

          National statistical offices and medical birth registers derived numbers of caesarean births in TGCS groups.

          Main outcome measures

          Overall caesarean rate, prevalence and caesarean rates in each of the TGCS groups.

          Results

          Of 31 countries, 18 were able to provide data on the TGCS groups, with UK data available only from Northern Ireland. Caesarean birth rates ranged from 16.1 to 56.9%. Countries providing TGCS data had lower caesarean rates than countries without data (25.8% versus 32.9%, P = 0.04). Countries with higher caesarean rates tended to have higher rates in all TGCS groups. Substantial heterogeneity was observed, however, especially for groups 5 (previous caesarean section), 6, 7 (nulliparous/multiparous breech) and 10 (singleton cephalic preterm). The differences in percentages of abnormal lies, group 9, illustrate potential misclassification arising from unstandardised definitions.

          Conclusions

          Although further validation of data quality is needed, using TGCS in Europe provides valuable comparator and baseline data for benchmarking and surveillance. Higher caesarean rates in countries unable to construct the TGCS suggest that effective routine information systems may be an indicator of a country's investment in implementing evidence‐based caesarean policies.

          Tweetable abstract

          Many European countries can provide Robson's Ten‐Group Classification to improve caesarean rate comparisons.

          Tweetable abstract

          Many European countries can provide Robson's Ten‐Group Classification to improve caesarean rate comparisons.

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          Most cited references29

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          WHO Statement on Caesarean Section Rates.

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            Classification of caesarean sections

            MS Robson (2001)
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              Use of the Robson classification to assess caesarean section trends in 21 countries: a secondary analysis of two WHO multicountry surveys.

              Rates of caesarean section surgery are rising worldwide, but the determinants of this increase, especially in low-income and middle-income countries, are controversial. In this study, we aimed to analyse the contribution of specific obstetric populations to changes in caesarean section rates, by using the Robson classification in two WHO multicountry surveys of deliveries in health-care facilities. The Robson system classifies all deliveries into one of ten groups on the basis of five parameters: obstetric history, onset of labour, fetal lie, number of neonates, and gestational age.
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                Author and article information

                Contributors
                jennifer.zeitlin@inserm.fr
                Journal
                BJOG
                BJOG
                10.1111/(ISSN)1471-0528
                BJO
                Bjog
                John Wiley and Sons Inc. (Hoboken )
                1470-0328
                1471-0528
                01 February 2021
                August 2021
                : 128
                : 9 ( doiID: 10.1111/bjo.v128.9 )
                : 1444-1453
                Affiliations
                [ 1 ] CRESS, Obstetrical Perinatal and Paediatric Epidemiology Research Team, EPOPe, INSERM, INRA Universite de Paris Paris France
                [ 2 ] Centre for Maternal and Child Health Research School of Health Sciences City, University of London London UK
                [ 3 ] Perinatal Epidemiology and Reproductive Health Unit CR2, School of Public Health ULB Brussels Belgium
                [ 4 ] Institute for Quality Assurance and Transparency in Health Care Berlin Germany
                [ 5 ] Directorate for Social Statistics and Welfare Italian Statistical Institute (ISTAT) Rome Italy
                [ 6 ] Department of Obstetrics & Gynaecology Maastricht University Medical Centre MUMC+ Maastricht The Netherlands
                [ 7 ] Department of Obstetrics and Gynaecology Landspitali University Hospital Reykjavik Iceland
                [ 8 ] Department of Epidemiology and Biostatistics National Research Institute of Mother and Child Warsaw Poland
                [ 9 ] THL Finnish Institute for Health and Welfare Helsinki Finland
                [ 10 ] Karolinska Institute Stockholm Sweden
                Author notes
                [*] [* ] Correspondence: J Zeitlin, Obstetrical, Perinatal and Paediatric Epidemiology Research Team, U1153, Inserm, 53 avenue de l'Observatoire, 75014 Paris, France. Email: jennifer.zeitlin@ 123456inserm.fr

                [*]

                A list of Euro‐Peristat Network contributors appears in the Acknowledgements.

                Author information
                https://orcid.org/0000-0002-9568-2969
                Article
                BJO16634
                10.1111/1471-0528.16634
                8359161
                33338307
                27657afa-39d3-4047-8e2d-2fff38e24379
                © 2021 The Authors. BJOG: An International Journal of Obstetrics and Gynaecology published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 11 December 2020
                Page count
                Figures: 3, Tables: 1, Pages: 10, Words: 6696
                Funding
                Funded by: Public Health Programme, Consumers, Health, Agriculture and Food Executive Agency (CHAFEA)
                Funded by: InfAct
                Award ID: 801553
                Funded by: Joint Action
                Award ID: 801553
                Funded by: Bridge Health Project
                Award ID: 665691
                Categories
                Original Article
                Original Articles
                Epidemiology
                Custom metadata
                2.0
                August 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.0.5 mode:remove_FC converted:12.08.2021

                Obstetrics & Gynecology
                caesarean birth,europe,health information systems,perinatal health indicators,robson classification,ten‐group classification system

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