Literature DB >> 25412695

Stabilising the caesarean rate: which target population?

C Le Ray1, B Blondel, C Prunet, I Khireddine, C Deneux-Tharaux, F Goffinet.   

Abstract

OBJECTIVE: Caesarean rate increased in France between 1995 and 2003, but remained stable between 2003 and 2010. Our objective was to analyse these trends by identifying the groups of women who contributed to the increase and those who contributed to the stabilisation.
DESIGN: Cross-sectional population-based study from the French national perinatal surveys.
SETTING: All maternity units in France. POPULATION: Representative samples of women delivering in 1995 (n = 13 147), 2003 (n = 14 482), and 2010 (n = 14 681).
METHODS: Robson classification, based on pregnancy and delivery characteristics, was used for each group. MAIN OUTCOME MEASURES: Caesarean rate for each group, its contribution to the overall caesarean rate, and the differences (Δ) in these contributions between 1995 and 2003 and between 2003 and 2010.
RESULTS: Overall caesarean rates were 15.4% in 1995, 19.7% in 2003 and 20.5% in 2010. Between 1995 and 2003, the contribution to the overall caesarean rate of all groups but one rose. Between 2003 and 2010, the contribution of all groups but three stabilised or decreased: nulliparous women in spontaneous labour with singleton cephalic fetuses at term (Δ = + 0.5%, 95% CI 0.1-0.9%), an increase explained by their higher caesarean rate; nulliparous women with induced labour at term (Δ = + 1.1%, 95% CI 0.8-1.4%) caused by an increase in both the caesarean rate and the relative size of this group; and women with previous caesarean (Δ = + 0.8%, 95% CI 0.3-1.3%), because of the growing size of this group.
CONCLUSION: Proposing and evaluating interventions for improving the management of labour in nulliparous women could help to maintain caesarean rates and mitigate increases among multiparous women in the future.
© 2014 Royal College of Obstetricians and Gynaecologists.

Entities:  

Keywords:  Caesarean section; France; Robson classification

Mesh:

Year:  2014        PMID: 25412695     DOI: 10.1111/1471-0528.13199

Source DB:  PubMed          Journal:  BJOG        ISSN: 1470-0328            Impact factor:   6.531


  15 in total

1.  Trend Prediction for Cesarean Deliveries Based on Robson Classification System at a Tertiary Referral Unit of North India.

Authors:  Pratima Mittal; Divya Pandey; Jyotsna Suri; Rekha Bharti
Journal:  J Obstet Gynaecol India       Date:  2019-10-11

2.  Development and Measurement of Guidelines-Based Quality Indicators of Caesarean Section Care in the Netherlands: A RAND-Modified Delphi Procedure and Retrospective Medical Chart Review.

Authors:  Sonja Melman; Ellen C N Schoorel; Karin de Boer; Henriëtte Burggraaf; Jan B Derks; Det van Dijk; Jeroen van Dillen; Carmen D Dirksen; Johannes J Duvekot; Arie Franx; Tom H M Hasaart; Anjoke J M Huisjes; Diny Kolkman; Sander van Kuijk; Anneke Kwee; Ben W Mol; Mariëlle G van Pampus; Alieke de Roon-Immerzeel; Jos J M van Roosmalen; Frans J M E Roumen; Ellen Smid-Koopman; Luc Smits; Wilbert A Spaans; Harry Visser; Wim J van Wijngaarden; Christine Willekes; Maurice G A J Wouters; Jan G Nijhuis; Rosella P M G Hermens; Hubertina C J Scheepers
Journal:  PLoS One       Date:  2016-01-19       Impact factor: 3.240

3.  Use of Robson classification to assess cesarean section rate in Brazil: the role of source of payment for childbirth.

Authors:  Marcos Nakamura-Pereira; Maria do Carmo Leal; Ana Paula Esteves-Pereira; Rosa Maria Soares Madeira Domingues; Jacqueline Alves Torres; Marcos Augusto Bastos Dias; Maria Elisabeth Moreira
Journal:  Reprod Health       Date:  2016-10-17       Impact factor: 3.223

4.  Impact of antenatal oxytocin infusion on neonatal respiratory morbidity associated with elective cesarean section.

Authors:  Ibrahim Abdelazim; Mohamed M M Farghali; Assem A M Elbiaa; Khaled M Abdelrazak; Mohamed Hussain; Amr H Yehia; Mona Rashad
Journal:  Arch Med Sci       Date:  2017-04-20       Impact factor: 3.318

5.  The Ten-Group Robson Classification: A Single Centre Approach Identifying Strategies to Optimise Caesarean Section Rates.

Authors:  Keisuke Tanaka; Kassam Mahomed
Journal:  Obstet Gynecol Int       Date:  2017-01-10

6.  Robson 10-groups classification system to access C-section in two public hospitals of the Federal District/Brazil.

Authors:  Cláudia Vicari Bolognani; Lílian Barros de Sousa Moreira Reis; Adriano Dias; Iracema de Mattos Paranhos Calderon
Journal:  PLoS One       Date:  2018-02-20       Impact factor: 3.240

7.  Analysis of caesarean sections using Robson 10-group classification system in a university hospital in eastern Ethiopia: a cross-sectional study.

Authors:  Olga Pijpers; Myrna de Man; Myrthe Cleveringa; Ingeborg Koopmans; Abera Kenay Tura; Tadesse Gure; Jelle Stekelenburg
Journal:  BMJ Open       Date:  2018-04-04       Impact factor: 2.692

8.  Implementation of the WHO manual for Robson classification: an example from Sri Lanka using a local database for developing quality improvement recommendations.

Authors:  Hemantha Senanayake; Monica Piccoli; Emanuelle Pessa Valente; Caterina Businelli; Rishard Mohamed; Roshini Fernando; Anshumalie Sakalasuriya; Fathima Reshma Ihsan; Benedetta Covi; Humphrey Wanzira; Marzia Lazzerini
Journal:  BMJ Open       Date:  2019-02-19       Impact factor: 3.006

9.  Lithuania's experience in reducing caesarean sections among nulliparas.

Authors:  Justina Kacerauskiene; Meile Minkauskiene; Tahir Mahmood; Egle Bartuseviciene; Dalia R Railaite; Arnoldas Bartusevicius; Mindaugas Kliucinskas; Ruta J Nadisauskiene; Kastytis Smigelskas; Kornelija Maciuliene; Grazina Drasutiene; Diana Ramasauskaite
Journal:  BMC Pregnancy Childbirth       Date:  2018-10-25       Impact factor: 3.007

10.  Teaching and performing audits on caesarean delivery reduce the caesarean delivery rate.

Authors:  Emmanuelle Lesieur; Julie Blanc; Anderson Loundou; Arnaud Claquin; Michele Marcot; Helene Heckenroth; Florence Bretelle
Journal:  PLoS One       Date:  2018-08-27       Impact factor: 3.240

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