ArticleAnnals of global health2020
Improving the Caesarean Decision by Robson Classification: A Population-Based Study by 5,323,500 Livebirth Data.
Article in Annals of global health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 23 citations in OpenAlex.
- Robson ten-group classification-based analysis of caesarean sections in Türkiye: a large-scale cross-sectional study.BMC pregnancy and childbirth · 2026Observational
- Comfort or necessity: obstetricians' perspectives on the drivers, consequences, and recommendations for reducing caesarean section rates in Turkey.BMC pregnancy and childbirth · 2026Article
- Analysis of caesarean section rates according to the Robson classification system and indications for caesarean delivery: experience from a tertiary health centre in Turkey.BMC pregnancy and childbirth · 2026Observational
- Patterns and stakeholder-perceived drivers of Caesarean section practices: Evidence from a multicenter study in a lower-middle-income country.PLOS global public health · 2026Article
- Caesarean section rates and indications: a cross-sectional study from a tertiary care centre in Türkiye.BMC pregnancy and childbirth · 2025Observational
- A cross-sectional analysis of caesarean sections according to Robson 10-group classification system: experience from a tertiary centre in Turkiye.BMC pregnancy and childbirth · 2025Observational
- Article
- Analysis of Cesarean Section Ratios by Robson Classification.Journal of obstetrics and gynaecology of India · 2024Article
- Frequency of Caesarean Section Classified by Robson's Ten Group Classification System: A Scoping Review.Cureus · 2023Article
- Labor Induction with Intravaginal Misoprostol versus Spontaneous Labor: Maternal and Neonatal Outcomes.BioMed research international · 2022Article
- Construction of a prediction model and a prevention control system for cesarean section rate based on the Robson classification system.American journal of translational research · 2021Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Caesarean section is a major obstetric intervention for saving lives of women and their newborns from pregnancy- and childbirth-related complications. C-Section rate is considered an important indicator for measuring obstetric services in any country, region, or institution. In many countries, based on population, all-cause C-Section rates have increased steadily during the past half century. The high and rising C-Section rate is certainly a cause for concern, and evidence-based information is needed as to how or why the C-Section rate has increased and what needs to be done. In this study, we tried to demonstrate how the Robson Classification can be used as a common starting point to audit caesarean deliveries. Objectives: Given the lack of a scientifically proven classification system to observe and compare caesarean rates, the WHO proposes adopting the Robson's criteria-related grouping as an internationally applicable C-Section classification system. Methods: We conducted a retrospective study to look into the relation of Robson Criteria and C-Section. Our four years of study encompass 5,323,500 livebirths in Turkey and provide an important source of information for evaluating statistical data. Findings: We analysed pregnancies according to the percentage of live births in Robson's groups and the caesarean rate within the Robson's groups. In total, 2,764,373 pregnant women have undergone caesarean over 4 years with a 51.9% C-Section rate. According to our findings, as time progresses, the R5 group are expanding due to the caesarean sections groups R1-R4.The R5 group C-Section rate increased regularly from 22.2% in 2013 to 24.3% in 2016. Caesarean sections performed in R1-R4 groups cause subsequent pregnancies of these women to result in caesarean section. Conclusions: Our results suggest the Robson classification system will help in analysing, screening, auditing, and comparing caesarean rates across different hospitals, countries, or regions and will help to create and implement effective strategies specifically to reach WHO recommended C-Section rates.
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